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ACCEPTANCE AND UTILIZATION OF TELEPRIMARY CARE IN SARAWAK
HoAi Chia
Doctor of Public Health 2013
Pusat Kbidmat Maklunaat Akademik UNJVEltSm MALAYSIA SARAWAK
ACCEPTANCE AND UTILIZATION OF TELEPRIMARY CARE IN
SARAWAK PKHIDMAT MAKLUMAT AKADEMIK
1111 1lIlIlll~ii 111111111 1000246994
HOAI CHIA
A dissertation submitted in partial fulfilment of the requirements for the degree
ofDoctor ofPublic Health
Faculty of Medicine and Health Sciences
UNIVERSITI MALA YSIA SARA W AK
2013
ABSTRACT
Teleprimary Care (TPC) is an electronic system used in healthcare to facilitate the
workflow in healthcare organization and improve quality of patient care The system which
was introduced in year 2004 has been implemented in 31 health facilities throughout Sarawak
including two hospitals and six divisional health offices To date no proper evaluation has
been done on TPC especially on the acceptance of users towards the system The objective of
this study was to analyze the characteristics of TPC users in Sarawak their acceptances and
perceptions towards the system challenges and barriers faced and comments in improving the
system This was a cross-sectional study using quantitative research method supplemented
with qualitative data to better understand the actual feelings of system users in the field A
total of 516 TPC users throughout Sarawak were surveyed using self-administered
questionnaire and 44 system users as well as system coordinators were interviewed The
overall acceptance of users towards TPC was good Analysis revealed that job relevance
perceived usefulness result demonstrability and subjective norms appeared to be significant
influencing factors for acceptance of TPC However perceived ease of use motivation and
voluntariness were not strong predictors for intentions to use the system Two-fifth of users
preferred TPC system while 28 preferred the conventional paper-based system for
documentation Users who preferred TPC system were those working in the hospital
registration officers and users who had been using the system for more than 3 years The
commonest barriers faced by users were related to technical issues followed by database
problems disruption of face-to-face contact with patients and lack of training Improving the
server for TPC and providing training for all users were among the priorities to improve the
utilization of TPC from the users perspectives Clinic and Divisional coordinators played
important role in TPC implementation but were limited by time constraint and financial
control In conclusion result from the study highlighted the need for future strategies to focus
on improving functionality of TPC in enhancing the workflow of users in their daily works
Supervisors and middotDivisional Health Officers need to be TPC-minded and to encourage the
usage ofTPC among users in the Division There is also an overwhelming need for tackling
the technical issues of TPC and providing training for all users in order to improve the
implementation ofTPC
11
~------------------------------------ ----shy
ABSTRAK
Penerimaan dan Penggunaan Teleprimary Care di Sarawak
Teleprimary Care ([PC) merupakan satu sistem elektronik yang digunakan dalam
bidang kesihatan untuk memudahkan kelancaran kerja dalam organisasi kesihatan serta
meningkatkan kualiti perawatan pesakit Sistem terse but telah diperkenalkan pada tahun
2004 dan kini dilaksanakan di 31 buah fasiliti kesihatan di seluruh Sarawak termasuk dua
buah hospital dan enam buah pejabat kesihatan bahagian Setakat ini tiada penilaian
menyeluruh dilakukan pada sistem TPC terutamanya dari segi peninjauan penerimaan
pengguna terhadap sistem berkenaan Objektif kajian ini adalah untuk menganalisa ciri-ciri
demografi pengguna TPC di Sarawak penerimaan dan pandangan mereka terhadap sistem
berkenaan cabaran dan halangan yang dihadapi serta komen pengguna dalam
penambahbaikan sistem TPC Kajian ini merupakan kajian rentas silang yang melibatkan
teknik pengumpulan data secara kuantitatif ditambahkan dengan data kualitatif bagi
meningkatkan pemahaman perasaan sebenar para pengguna system di lapangan Seramai
516 orang pengguna TPC dari seluruh Sarawak telah disoalselidik menggunakan borang
soalselidik isian sendiri dan 44 orang pengguna beserta penyelaras TPC telah ditemubual
Secara keseluruhannya penerimaan pengguna terhadap sistem TPC adalah baik Analisa
menunjukkan bahawa relevansi kerja tanggapan faedah keupayaan demonstrasi hasil serta
norma subjektif merupakan faktor-faktor yang mempengaruhi penerimaan pengguna
terhadap sistem TPC Walaubagaimanapun tanggapan kesenangan penggunaan motivasi
serta kesukarelaan bukan faktor-faktor yang utama dalam meramal niat kepenggunaan TPC
di kalangan pengguna Dua per lima pengguna lebih menggemari sistem TPC manakala
28 lebih cenderung kepada sistem kertas yang konvensional bagi tujuan dokumentasi
iii
Pengguna yang cenderung kepada TPC merupakan mereka daripada kalangan yang bekerja
di hospital bekerja sebagai pegawai pendaftaran serta pengguna yang telah menggunakan
sistem TPC melebihi tiga tahun Rintangan yang paling kerap dihadapi oleh pengguna TPC
adalah masalah berkaitan teknikal diikuti dengan masalah pangkalan data gangguan dalam
pelaksanaan kerja yang berkualiti serta kekurangan latihan dalam bidang ini Berdasarkan
kepada perspeksi pengguna penambahbaikan rangkaian server TPC serta penyediaan
latihan bagi semua pengguna TPC adalah antara strategi yang patut diberi keutamaan dalam
meningkatkan penggunaan TPC Penyelaras TPC peringkat klinik serta Bahagian turut
memainkan peranan yang penting dalam implementasi TPC Namun usaha mereka dalam
hal ini kerap terse kat dari segi desakan masa dan kuasa pengawalan kewangan TPC
Kesimpulannya keputusan yang diperolehi melalui kajian ini menegaskan keperluan bagi
perancangan strategi masa hadapan untuk berfokus kepada meningkatkan fungsi-fungsi TPC
dalam melancarkan aliran kerja para pengguna Penyelaras dan Pegawai Kesihatan
Bahagian sepatutnya mempunyai minda yang positij terhadap TPC dan menggalakkan para
pengguna TPC di bawah penguasaannya supaya meningkatkan penggunaan TPC Masalah
teknikal berkenaan TPC juga patut ditanggani dengan segera dan latihan penggunaan TPC
wajar diberikan kepada semua pengguna TPC supaya implementasi TPC dapat ditingkatkan
lV
DECLARATION
No portion of the work referred to in this dissertation has been submitted in support of an
application for another degree of qualification of this or any other university or institution of
higher learning
Signature
Name HOAICHIA
Date 27 MAY 2013
v
ACKNOWLEDGEMENTS
It is my prestigious privilege to express my deepest gratitude and appreciation to both
my research supervisors Professor Dr Mohamad Raili bin Suhaili and Dato Dr Andrew Kiyu
Dawie Usop for their enthusiasm constant guidance and valuable suggestions from the
beginning to the end of my research I am truly grateful for their sincere effort and greatest
patience in giving clear guidance and intellectual direction to my dissertation Their
continuous supports have been the greatest cue for me to embark on this research I can never
thank Prof Raili enough for his assistance and effort in making my data collection process for
this research a smooth sail
This dissertation would not have completed in time without the dedication and
enthusiasm given by my lecturer in Biostatistics Associate Professor Dr Md Mizanur
Rahman His continuous inspiration constructive criticism and valuable directions all through
the course had guided me throughout the dissertation preparation period
I would also like to express my deepest thanks to the Dean of Faculty of Medicine and
Health Sciences UNIMAS Professor Dr Ahmad Hata Rasit and the Deputy Dean
(postgraduate and Research) Professor Dr Lela Suut for their kindest supports in this
programme and our research study My special thanks also goes to my lecturer and fonner
Dean Tan Sri Datu Prof Dr Hj Mohd Taha bin Arif for his continuous support and guidance
throughout my study
I can go no further without expressing my appreciation and gratitude to Dr Flora Ong
whom had provided valuable guidance and advice on this research based on her enriching
experience in Teleprimary Care of Sarawak
VI
I would like to acknowledge the State Health Director of Sarawak Dato Dr Zulkifli
bin Jantan for his kind consideration and approval on my proposal in order for me to proceed
with my research study This study would not have gone this far without the support from all
the Divisional Health Officers involved in the research Dr Kamarudin bin Lajim Dr Julaidah
bt Sharip Dr Muhamad Rais Abdullah Dr Osman Bin Rafaie Dr Hasrina Hassan and Dr
Ngian Hie Ung and former Directors of Sibu Hospital Dr Chin Zin Hing and Dr Audrey
Gapoh to agree to this research in their respective health premises and offer of assistance in
transportation and accommodation
I would like to give special acknowledgement to all the staff of Telehealth Unit of
Sarawak State Health Department and Sibu Hospital especially Dr Eunice Melissa Joseph Dr
Diana Jawa SAMO Mr Bobby Hudson Didet and AMO Mr Alexander Ringga for their time
and effort in extracting the relevant data from the database and sharing of invaluable
comments and suggestions for this research Without their kind assistance and cooperation
this study could not be accomplished
A word of appreciation also goes to Mdm Chin Siew Kiaw Dr Lai Boon Foo and Dr
Nolan Teo who have given my all the support and help during the data collection I would
also like to extent my deepest appreciation to all nursing sisters matrons and assistant
medical officers whom were hold in-charge of TPC in every divisions and clinics for their
contributions and support at various stages of the study None ever hesitate to assist whenever
required to do so
My very special thanks to the Head of Department of Community Medicine and
Public Health Department UNIMAS Associate Professor Dr Kamaluddin Bakar Associate
Professor Dr Ong Puay Hoon and all my academic advisors and lecturers for their
continuous efforts of assistance valuable advice and encouragement throughout my study
vii
process and dissertation writing I will never forget the enthusiasm and kindness they have
given to me
My sincere gratitude also goes to my dearest course-mates Dr Sharifah Norashikin
binti Wan Ahmad and Dr Shahnur Begum and all other DrPH candidates of UNIMAS for
their valuable supports and helpfulness throughout the course All your opinions and
suggestions had contributed to the success of this dissertation I would like to specially
mention my appreciation for Dr Sharifah Norashikin for being such a wonderful companion
of mine when travelling throughout Sarawak for data collection
I am particularly indebted to my loving parents and family members for their love
support inspiration encouragement and good understanding of me throughout this study
period which enabled me to reach the study goal
I would like to acknowledge all of the other people who have knowingly or
unknowingly contributed towards whatever merits this research and dissertation possess I
am regretful if am not able to recall everyone as I am certainly indebted to them
Last but by no means least lowe a great debt of gratitude to all the TPC users in
Sarawak who have agreed to spare their precious time off from their working hours to
participate in this study This study will never come to a success without their willingness to
share their thoughts on TPC
Thank you very much to all
HoAiChia
viii
Pusat Khidmat Maklumat Akademik UNlVERSm MALAYSIA SARAWAK
TABLE OF CONTENTS
page
ABSTRACT i
LIST OF ABBREVIATIONS xviii
ABSTRAK iii
DECLARATION v
ACKNOWLEDGEMENTS vi
TABLE OF CONTENTS ix
LIST OF TABLES xiv
LIST OF FIGURES xvi
CHAPTER 1 INTRODUCTION LITERATURE REVIEW
11 Introduction 1
111 Teleprimary Care in Malaysia 3
12 Problem Statement 5
13 Research Questions 7
14 Research Objectives 8
141 General Objective 8
142 Specific Objectives 8
15 Research Hypotheses 9
16 Significance of the Study 10
17 Literature Review 12
171 Health Delivery System in Sarawak 12
172 The Future of Health Delivery System in Malaysia 13
ix
173 Primary Healthcare Infonnatics in Malaysia 16
174 Teleprimary Care in Sarawak 17
175 Computer Literacy among Health Staff 28
176 Implementation oflnfonnation Technology Application in Healthcare 29
177 Theories explaining Acceptance of Technology 32
178 Summary44
18 Research Framework 47
CHAPTER 2 METHODOLOGY
21 Research Design 50
22 Study Population and Setting 50
221 Population and Setting 50
222 Inclusion and Exclusion Criteria 51
23 Sample Size Calculation 54
231 Sample Size for Quantitative Study 54
232 Sample Size for Qualitative Study 55
24 Sampling Procedure 56
241 Sampling Procedure for Quantitative Study 56
242 Sampling Procedure for Qualitative Study 58
25 Instrument Development 60
251 Study Instrument 61
252 Variables 63
253 Operational Definitions 64
26 Data Collection Procedure 67
x
261 Document Analysis 67
262 Data Collection Procedure for Quantitative Phase 67
263 Data Collection Procedure for Qualitative Phase 68
27 Validity and Reliability Testing 69
271 Validation ofQuestiOlUlaire 70
272 Pilot Study for Quantitative Study 70
273 Pretesting for Qualitative Study 72
28 Data Analysis 73
281 Document Analysis on TPC Utilization 73
282 Quantitative Data Analysis 74
283 Qualitative Data Analysis 74
29 Ethical Consideration 75
210 Duration of Study 77
211 Limitations of Study 78
CHAPTER 3 RESULTS
31 Introduction80
32 Document Analysis 81
321 Utilization of Teleprimary Care according to Divisions and Centres 81
322 Utilization according to Category of Post (Jan-Jun 2012) 82
323 Summary from Document Analysis 84
33 Quantitative Analysis 85
331 Socio-Demographic Characteristics 85
332 Information related to TPC usage 89
Xl
333 Factors affecting Computer Literacy 95
334 User Acceptance ofTPC 102
335 Perceptions of Users on TPC usage 120
336 Challenges and Barriers Faced by TPC Users 129
337 Comments and Recommendations by TPC Users 131
338 Summary from Quantitative Analysis 132
34 Qualitative Analysis 133
341 Acceptance ofTPC Usage 134
342 Perceptions of Users on TPC usage 147
343 Challenges and Barriers Faced by Users 155
344 Comments and Recommendations Users Perspectives 161
345 Supervisors Perceptions of Teleprimary Care 164
346 Summary from Qualitative Analysis 171
CHAPTER 4 DISCUSSION
41 Discussion 172
42 Management Implications 189
CHAPTER 5 SUMMARY AND CONCLUSIONS
51 Summary and Conclusion 191
52 Recommendations 194
521 Recommendations for Future Study 194
522 Recommendations for Future TPC Implementation Strategies 194
xii
BIBLIOGRAPHy 199
APPENDICES
APPENDIX A - List of Teleprimary Care centres in Sarawak 216
APPENDIX B1 - Questionnaire (Quantitative Study) English Version
APPENDIX Gl - Percentage ofTPC usage based on Visit Records from TPC Database and
217
APPENDIX B2 - Questionnaire (Quantitative Study) Malay Version 223
APPENDIX C1 - Informed Consent Form (English Version) 230
APPENDIX C2 - Informed Consent Form (Malay Version) 233
APPENDIX D1 - Researchers Information Form (English Version) 237
APPENDIX D2 - Researchers Information Form (Malay Version) 239
APPENDIX E1 - Interview Guide For Clinic TPC Users 242
APPENDIX E2 - Interview Guide For Clinic Supervisors 245
APPENDIX E3 - Interview Guide For Divisional Supervisors 247
APPENDIX Fl - Approval Letter from MREC 249
APPENDIX F2 - Approval Letter from CRC 250
APPENDIX F3 - Approval Letter from Ethics Committee UNIMAS 251
Workload from HMIS January to June 2012 in Sarawak 252
APPENDIX G2 - Original Research Model Unstandardized Parameter Estimates 254
APPENDIX G3 - Original Model Standardized Parameter Estimates 255
APPENDIX G4 - Modified Model Unstandardized Parameter Estimation 256
APPENDIX G5 - Modified Model Standardized Parameter Estimates 257
APPENDIXH - Research Schedule (Gantt Chart) 258
XIII
LIST OF TABLES
page
Table 1 Internal Consistency for each Factor in Questionnaire prior to Modification 71
Table 2 Modules in Teleprimary Care selected for Different Categories of Users
Table 3 Utilization of Teleprimary Care System by Users according to Different Category
74
ofPost from January to June 2012 84
Table 4 Distribution of the Respondents by Socio-demographic Characteristics (n = 516) 88
91
Table 5 Distribution of the Respondents by Information related to Teleprimary Care usage
Table 6 Distribution of the Respondents by Computer Literacy (n=516) 92
Table 7 Percentage Distribution ofTechnical Supervisory Visits by Teleprimary Care Team
(n=516) 94
Table 8 Percentage Distribution of Administrative Supervisory Visits (n=516) 94
Table 9 Factors affecting Computer Literacy Bivariate Analysis (n=516) 98
Table 10 Faotors influencing Computer Literacy among TPC users Multinomial Logistic
Regression Analysis 101
106
Table II Distribution of Respondents by Factors affecting Acceptance to use TPC (n=516)
Table 12 Distribution of Respondents by Intention to use TPC (n=516) 108
Table 13 Pearson Correlations between Predictor and Dependent Variables (n=516) 110
Table 14 Means and Standard Deviations for Predictor Variables and Dependent Variable
for Model Testing (n=516) 112
Table 15 Factors affecting Intention to Use TPC Standard Multiple Linear Regression
Analysis (n=442) 112
xiv
Analysis of Overall Model Goodness-of-Fit for Original Research Model 114
Analysis of Overall Model Goodness-of-Fit for Modified ModeL 117
Distribution of the Respondents by Perception on TPC Usage 122
Factors affecting Preferred Method of Documentation Bivariate Analysis (n=350)
125
Factors affecting Preference between Teleprimary Care and Current Paper-based
System Binary Logistic Regression 128
Challenges and Barriers faced by TPC Users (n=516) 130
Comments to improve TPC Usage (n=516) l32
xv
LIST OF FIGURES
page
Figure 1 Network Architecture of Teleprimary Care prior to Migration ofNetwork (Adopted
from the presentation slide by Fauziah 2010) 22
Figure 2 Database Architecture of Teleprimary Care (Adopted from the presentation slide by
Figure 11 Research Framework on Acceptance of Teleprimary Care and Factors affecting it49
Figure 16 Percentage ofTPC usage based on Visit Records from TPC Database and
Rebi amp Pairan 2012) 22
Figure 3 Distributed Multi-Tier Architecture used in Teleprimary Care (Raili et al 2006) 24
Figure 4 Theory of Reasoned Action (Fishbein and Ajzen 1975) 34
Figure 5 Reciprocal Determinism in Social Cognitive Theory (Compeau amp Higgins 1995) 35
Figure 6 Theory of Planned Behaviour (Ajzen 1991 ) 36
Figure 7 Technology Acceptance Model (Davis 1989) 38
Figure 8 Extended Technology Acceptance Model (Venkatesh and Davis 2000) 39
Figure 9 The Model of PC Utilization (Thompson et al 1991) 41
Figure 10 Unified Theory of Acceptance and Use of Technology (Venkatesh et al 2003) 45
Figure 12 Sampling Frame for Quantitative Data Collection 52
Figure 13 Sampling Method for Quantitative Phase of Study 57
Figure 14 Sampling Method for Qualitative Phase of Study 60
Figure 15 Data Collection Procedure for 9uantitative Phase of Study 69
Workload from HMIS January to June 2012 in Sarawak 82
Figure 17 Computer Literacy of Respondents (n=516) 92
Figure 18 Framework on Utilization of Teleprimary Care (Original Model) 116
xvi
19 Framework on Utilization of Teleprimary Care (Original Model) (Standardized
estimates) 116
igure 20 Framework on Utilization of Teleprimary Care (Modified Model) (Unstandardized
Figure 21 Framework on Utilization of Teleprimary Care (Modified Model) (Standardized
estimates) 119
estimates) 119
Figure 22 Any Challenges or Barriers faced(n=516) 130
xvii
LIST OF ABBREVIATIONS
ACG = Adjusted Clinical Group
AMO = Assistant Medical Officer
BPKK = Bahagian Pembangunan Kesihatan Keluarga (FHDD)
CI = Confidence Interval
df = Degree of Freedom
DHO = Divisional Health Office
FHDD = Family Health Development Division
ICT = Information and Communication Technology
lOT = Innovation Diffusion Theory
IT = Information Technology
JM = Jururawat Masyarakat (Community Nurse)
JPL = Jabatan Pesaldt Luar (Out-patient Department)
Lab = Laboratory
LAN = Local Area Network
KK = Klinik Kesihatan (Health Clinic)
KKIA = Klinik Kesihatan Ibu dan Anak (Maternal and Child Health Clinic)
KKM = Kementerian Kesihatan Malaysia (Malaysian Ministry ofHealth)
MA = Medical Assistant (now known as Assistant Medical Officer)
MCH = Maternal and Child Health Clinic
MO = Medical Officer
xviii
------------ --
= Ministry of Health
= Model of Personal Computer Utilization
= Personal Computer
= Pejabat Kesihatan Bahagian (Divisional Health Office)
= Person Management System
= Senior Assistant Medical Officer
= Social Cognitive Theory
= Standard Deviation
= Structural Equation Modeling
= Sasaran Kerja Tahunan
= Technology Acceptance Model
= Extended Technology Acceptance Model
= Theory of Planned Behaviour
1PC = Teleprimary Care
TRA = Theory of Reasoned Action
DNlMAS = Universiti Malaysia Sarawak
UTAUT = Unified Theory of Acceptance and Use ofTechnology
= Very Small Aperture Terminal
WHO = World Health Organization
XIX
CHAPTERl
INTRODUCTION LITERATURE REVIEW
The use of Internet for e-health or medical infonnatics and related technologies to
deliver or improve health services and infonnation has been an emerging field in healthcare
DIII18gement worldwide (Eysenbach 2001) Within this field the World Health Organisation
(WHO) has identified Telemedicine as a possible application to strengthen health systems and
improve the quality of health care delivery in rural areas (WHO 2010) In Malaysia health
management infonnation system such as Teleprimary Care (TPC) were also expected to
show great potential in providing substantial benefits to healthcare providers healthcare
organizations and patients These electronic systems were believed to be able to facilitate the
workflow in healthcare organization improve quality of patient care and enhance patient
safety in management (Brinfo nd)
Teleprimary Care was launched in Malaysia in the year 2004 Till date there are 88
clinics and seven hospitals equipped with TPC system throughout Malaysia (BPKK 2012
BomeoPost Online 2013) TPC system has been designed to provide many functions to help
bealth managers in delivering more efficient health services and having easier monitoring of
the health status of the community However until now TPC has functioned mainly as an
electronic medical record system for storage and retrieving of patients medical data The use
ofTPC for other functions has been limited
Before the introduction of TPC system patients clinical records were documented in
writing and were subjected to errors The conventional system involved tedious paperwork
which required great amount of resources in tenns of time money and manpower both in
ilCOlrdiIll2 and data extraction Many of these surveillance data collected were left aside and
used to its fullest due to the lengthy procedures required to extract information from piles
files and documents Teleprimary Care system was then created with the hope to improve
health information system by providing more timely and accurate information to help
iWMlnvp health status monitoring With TPC system the communication between healthcare
IIImJrittft in rural areas with specialists in hospitals will also be improved as sharing of
PfOlma1tion can be done more effectively
Introduction of TPC in the healthcare system would also mean a major change from
current paper-based documentation system to a fully computerized management system
to this major change should be well expected and anticipated during its
The greatest challenge remains having all the eligible TPC users to
iftMmiddotIVrAt TPC into their routine daily work Despite the great potential in improving the
_Iitv of health care service delivery the positive impact from TPC will only be discerned if
users access and utilize the functions of TPC regularly Therefore understanding of the
1acceDtanCe of TPC among the users and factors affecting their acceptance are crucial for the
~Jaonirlg of a more efficient implementation of TPC in the country Unfortunately the
I tnl[)wlledle and empirical research on the adoption ofTPC currently is still limited in general
The purpose of this study was to gather data regarding usage of TPC system among
the users The data would then be used to explore the socio-demographic characteristics of the
1I8etS their acceptances as well as the factors which may predict their utilization of the TPC
system The acceptance of users towards TPC was assessed through their intentions to use the
system The study also intended to set a platform for the TPC users to voice their perceptions
barriers faced when using the system and to gather the users opinions and priorities in
the current TPC implementation All these information are important in healthcare
2
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3
Pusat Kbidmat Maklunaat Akademik UNJVEltSm MALAYSIA SARAWAK
ACCEPTANCE AND UTILIZATION OF TELEPRIMARY CARE IN
SARAWAK PKHIDMAT MAKLUMAT AKADEMIK
1111 1lIlIlll~ii 111111111 1000246994
HOAI CHIA
A dissertation submitted in partial fulfilment of the requirements for the degree
ofDoctor ofPublic Health
Faculty of Medicine and Health Sciences
UNIVERSITI MALA YSIA SARA W AK
2013
ABSTRACT
Teleprimary Care (TPC) is an electronic system used in healthcare to facilitate the
workflow in healthcare organization and improve quality of patient care The system which
was introduced in year 2004 has been implemented in 31 health facilities throughout Sarawak
including two hospitals and six divisional health offices To date no proper evaluation has
been done on TPC especially on the acceptance of users towards the system The objective of
this study was to analyze the characteristics of TPC users in Sarawak their acceptances and
perceptions towards the system challenges and barriers faced and comments in improving the
system This was a cross-sectional study using quantitative research method supplemented
with qualitative data to better understand the actual feelings of system users in the field A
total of 516 TPC users throughout Sarawak were surveyed using self-administered
questionnaire and 44 system users as well as system coordinators were interviewed The
overall acceptance of users towards TPC was good Analysis revealed that job relevance
perceived usefulness result demonstrability and subjective norms appeared to be significant
influencing factors for acceptance of TPC However perceived ease of use motivation and
voluntariness were not strong predictors for intentions to use the system Two-fifth of users
preferred TPC system while 28 preferred the conventional paper-based system for
documentation Users who preferred TPC system were those working in the hospital
registration officers and users who had been using the system for more than 3 years The
commonest barriers faced by users were related to technical issues followed by database
problems disruption of face-to-face contact with patients and lack of training Improving the
server for TPC and providing training for all users were among the priorities to improve the
utilization of TPC from the users perspectives Clinic and Divisional coordinators played
important role in TPC implementation but were limited by time constraint and financial
control In conclusion result from the study highlighted the need for future strategies to focus
on improving functionality of TPC in enhancing the workflow of users in their daily works
Supervisors and middotDivisional Health Officers need to be TPC-minded and to encourage the
usage ofTPC among users in the Division There is also an overwhelming need for tackling
the technical issues of TPC and providing training for all users in order to improve the
implementation ofTPC
11
~------------------------------------ ----shy
ABSTRAK
Penerimaan dan Penggunaan Teleprimary Care di Sarawak
Teleprimary Care ([PC) merupakan satu sistem elektronik yang digunakan dalam
bidang kesihatan untuk memudahkan kelancaran kerja dalam organisasi kesihatan serta
meningkatkan kualiti perawatan pesakit Sistem terse but telah diperkenalkan pada tahun
2004 dan kini dilaksanakan di 31 buah fasiliti kesihatan di seluruh Sarawak termasuk dua
buah hospital dan enam buah pejabat kesihatan bahagian Setakat ini tiada penilaian
menyeluruh dilakukan pada sistem TPC terutamanya dari segi peninjauan penerimaan
pengguna terhadap sistem berkenaan Objektif kajian ini adalah untuk menganalisa ciri-ciri
demografi pengguna TPC di Sarawak penerimaan dan pandangan mereka terhadap sistem
berkenaan cabaran dan halangan yang dihadapi serta komen pengguna dalam
penambahbaikan sistem TPC Kajian ini merupakan kajian rentas silang yang melibatkan
teknik pengumpulan data secara kuantitatif ditambahkan dengan data kualitatif bagi
meningkatkan pemahaman perasaan sebenar para pengguna system di lapangan Seramai
516 orang pengguna TPC dari seluruh Sarawak telah disoalselidik menggunakan borang
soalselidik isian sendiri dan 44 orang pengguna beserta penyelaras TPC telah ditemubual
Secara keseluruhannya penerimaan pengguna terhadap sistem TPC adalah baik Analisa
menunjukkan bahawa relevansi kerja tanggapan faedah keupayaan demonstrasi hasil serta
norma subjektif merupakan faktor-faktor yang mempengaruhi penerimaan pengguna
terhadap sistem TPC Walaubagaimanapun tanggapan kesenangan penggunaan motivasi
serta kesukarelaan bukan faktor-faktor yang utama dalam meramal niat kepenggunaan TPC
di kalangan pengguna Dua per lima pengguna lebih menggemari sistem TPC manakala
28 lebih cenderung kepada sistem kertas yang konvensional bagi tujuan dokumentasi
iii
Pengguna yang cenderung kepada TPC merupakan mereka daripada kalangan yang bekerja
di hospital bekerja sebagai pegawai pendaftaran serta pengguna yang telah menggunakan
sistem TPC melebihi tiga tahun Rintangan yang paling kerap dihadapi oleh pengguna TPC
adalah masalah berkaitan teknikal diikuti dengan masalah pangkalan data gangguan dalam
pelaksanaan kerja yang berkualiti serta kekurangan latihan dalam bidang ini Berdasarkan
kepada perspeksi pengguna penambahbaikan rangkaian server TPC serta penyediaan
latihan bagi semua pengguna TPC adalah antara strategi yang patut diberi keutamaan dalam
meningkatkan penggunaan TPC Penyelaras TPC peringkat klinik serta Bahagian turut
memainkan peranan yang penting dalam implementasi TPC Namun usaha mereka dalam
hal ini kerap terse kat dari segi desakan masa dan kuasa pengawalan kewangan TPC
Kesimpulannya keputusan yang diperolehi melalui kajian ini menegaskan keperluan bagi
perancangan strategi masa hadapan untuk berfokus kepada meningkatkan fungsi-fungsi TPC
dalam melancarkan aliran kerja para pengguna Penyelaras dan Pegawai Kesihatan
Bahagian sepatutnya mempunyai minda yang positij terhadap TPC dan menggalakkan para
pengguna TPC di bawah penguasaannya supaya meningkatkan penggunaan TPC Masalah
teknikal berkenaan TPC juga patut ditanggani dengan segera dan latihan penggunaan TPC
wajar diberikan kepada semua pengguna TPC supaya implementasi TPC dapat ditingkatkan
lV
DECLARATION
No portion of the work referred to in this dissertation has been submitted in support of an
application for another degree of qualification of this or any other university or institution of
higher learning
Signature
Name HOAICHIA
Date 27 MAY 2013
v
ACKNOWLEDGEMENTS
It is my prestigious privilege to express my deepest gratitude and appreciation to both
my research supervisors Professor Dr Mohamad Raili bin Suhaili and Dato Dr Andrew Kiyu
Dawie Usop for their enthusiasm constant guidance and valuable suggestions from the
beginning to the end of my research I am truly grateful for their sincere effort and greatest
patience in giving clear guidance and intellectual direction to my dissertation Their
continuous supports have been the greatest cue for me to embark on this research I can never
thank Prof Raili enough for his assistance and effort in making my data collection process for
this research a smooth sail
This dissertation would not have completed in time without the dedication and
enthusiasm given by my lecturer in Biostatistics Associate Professor Dr Md Mizanur
Rahman His continuous inspiration constructive criticism and valuable directions all through
the course had guided me throughout the dissertation preparation period
I would also like to express my deepest thanks to the Dean of Faculty of Medicine and
Health Sciences UNIMAS Professor Dr Ahmad Hata Rasit and the Deputy Dean
(postgraduate and Research) Professor Dr Lela Suut for their kindest supports in this
programme and our research study My special thanks also goes to my lecturer and fonner
Dean Tan Sri Datu Prof Dr Hj Mohd Taha bin Arif for his continuous support and guidance
throughout my study
I can go no further without expressing my appreciation and gratitude to Dr Flora Ong
whom had provided valuable guidance and advice on this research based on her enriching
experience in Teleprimary Care of Sarawak
VI
I would like to acknowledge the State Health Director of Sarawak Dato Dr Zulkifli
bin Jantan for his kind consideration and approval on my proposal in order for me to proceed
with my research study This study would not have gone this far without the support from all
the Divisional Health Officers involved in the research Dr Kamarudin bin Lajim Dr Julaidah
bt Sharip Dr Muhamad Rais Abdullah Dr Osman Bin Rafaie Dr Hasrina Hassan and Dr
Ngian Hie Ung and former Directors of Sibu Hospital Dr Chin Zin Hing and Dr Audrey
Gapoh to agree to this research in their respective health premises and offer of assistance in
transportation and accommodation
I would like to give special acknowledgement to all the staff of Telehealth Unit of
Sarawak State Health Department and Sibu Hospital especially Dr Eunice Melissa Joseph Dr
Diana Jawa SAMO Mr Bobby Hudson Didet and AMO Mr Alexander Ringga for their time
and effort in extracting the relevant data from the database and sharing of invaluable
comments and suggestions for this research Without their kind assistance and cooperation
this study could not be accomplished
A word of appreciation also goes to Mdm Chin Siew Kiaw Dr Lai Boon Foo and Dr
Nolan Teo who have given my all the support and help during the data collection I would
also like to extent my deepest appreciation to all nursing sisters matrons and assistant
medical officers whom were hold in-charge of TPC in every divisions and clinics for their
contributions and support at various stages of the study None ever hesitate to assist whenever
required to do so
My very special thanks to the Head of Department of Community Medicine and
Public Health Department UNIMAS Associate Professor Dr Kamaluddin Bakar Associate
Professor Dr Ong Puay Hoon and all my academic advisors and lecturers for their
continuous efforts of assistance valuable advice and encouragement throughout my study
vii
process and dissertation writing I will never forget the enthusiasm and kindness they have
given to me
My sincere gratitude also goes to my dearest course-mates Dr Sharifah Norashikin
binti Wan Ahmad and Dr Shahnur Begum and all other DrPH candidates of UNIMAS for
their valuable supports and helpfulness throughout the course All your opinions and
suggestions had contributed to the success of this dissertation I would like to specially
mention my appreciation for Dr Sharifah Norashikin for being such a wonderful companion
of mine when travelling throughout Sarawak for data collection
I am particularly indebted to my loving parents and family members for their love
support inspiration encouragement and good understanding of me throughout this study
period which enabled me to reach the study goal
I would like to acknowledge all of the other people who have knowingly or
unknowingly contributed towards whatever merits this research and dissertation possess I
am regretful if am not able to recall everyone as I am certainly indebted to them
Last but by no means least lowe a great debt of gratitude to all the TPC users in
Sarawak who have agreed to spare their precious time off from their working hours to
participate in this study This study will never come to a success without their willingness to
share their thoughts on TPC
Thank you very much to all
HoAiChia
viii
Pusat Khidmat Maklumat Akademik UNlVERSm MALAYSIA SARAWAK
TABLE OF CONTENTS
page
ABSTRACT i
LIST OF ABBREVIATIONS xviii
ABSTRAK iii
DECLARATION v
ACKNOWLEDGEMENTS vi
TABLE OF CONTENTS ix
LIST OF TABLES xiv
LIST OF FIGURES xvi
CHAPTER 1 INTRODUCTION LITERATURE REVIEW
11 Introduction 1
111 Teleprimary Care in Malaysia 3
12 Problem Statement 5
13 Research Questions 7
14 Research Objectives 8
141 General Objective 8
142 Specific Objectives 8
15 Research Hypotheses 9
16 Significance of the Study 10
17 Literature Review 12
171 Health Delivery System in Sarawak 12
172 The Future of Health Delivery System in Malaysia 13
ix
173 Primary Healthcare Infonnatics in Malaysia 16
174 Teleprimary Care in Sarawak 17
175 Computer Literacy among Health Staff 28
176 Implementation oflnfonnation Technology Application in Healthcare 29
177 Theories explaining Acceptance of Technology 32
178 Summary44
18 Research Framework 47
CHAPTER 2 METHODOLOGY
21 Research Design 50
22 Study Population and Setting 50
221 Population and Setting 50
222 Inclusion and Exclusion Criteria 51
23 Sample Size Calculation 54
231 Sample Size for Quantitative Study 54
232 Sample Size for Qualitative Study 55
24 Sampling Procedure 56
241 Sampling Procedure for Quantitative Study 56
242 Sampling Procedure for Qualitative Study 58
25 Instrument Development 60
251 Study Instrument 61
252 Variables 63
253 Operational Definitions 64
26 Data Collection Procedure 67
x
261 Document Analysis 67
262 Data Collection Procedure for Quantitative Phase 67
263 Data Collection Procedure for Qualitative Phase 68
27 Validity and Reliability Testing 69
271 Validation ofQuestiOlUlaire 70
272 Pilot Study for Quantitative Study 70
273 Pretesting for Qualitative Study 72
28 Data Analysis 73
281 Document Analysis on TPC Utilization 73
282 Quantitative Data Analysis 74
283 Qualitative Data Analysis 74
29 Ethical Consideration 75
210 Duration of Study 77
211 Limitations of Study 78
CHAPTER 3 RESULTS
31 Introduction80
32 Document Analysis 81
321 Utilization of Teleprimary Care according to Divisions and Centres 81
322 Utilization according to Category of Post (Jan-Jun 2012) 82
323 Summary from Document Analysis 84
33 Quantitative Analysis 85
331 Socio-Demographic Characteristics 85
332 Information related to TPC usage 89
Xl
333 Factors affecting Computer Literacy 95
334 User Acceptance ofTPC 102
335 Perceptions of Users on TPC usage 120
336 Challenges and Barriers Faced by TPC Users 129
337 Comments and Recommendations by TPC Users 131
338 Summary from Quantitative Analysis 132
34 Qualitative Analysis 133
341 Acceptance ofTPC Usage 134
342 Perceptions of Users on TPC usage 147
343 Challenges and Barriers Faced by Users 155
344 Comments and Recommendations Users Perspectives 161
345 Supervisors Perceptions of Teleprimary Care 164
346 Summary from Qualitative Analysis 171
CHAPTER 4 DISCUSSION
41 Discussion 172
42 Management Implications 189
CHAPTER 5 SUMMARY AND CONCLUSIONS
51 Summary and Conclusion 191
52 Recommendations 194
521 Recommendations for Future Study 194
522 Recommendations for Future TPC Implementation Strategies 194
xii
BIBLIOGRAPHy 199
APPENDICES
APPENDIX A - List of Teleprimary Care centres in Sarawak 216
APPENDIX B1 - Questionnaire (Quantitative Study) English Version
APPENDIX Gl - Percentage ofTPC usage based on Visit Records from TPC Database and
217
APPENDIX B2 - Questionnaire (Quantitative Study) Malay Version 223
APPENDIX C1 - Informed Consent Form (English Version) 230
APPENDIX C2 - Informed Consent Form (Malay Version) 233
APPENDIX D1 - Researchers Information Form (English Version) 237
APPENDIX D2 - Researchers Information Form (Malay Version) 239
APPENDIX E1 - Interview Guide For Clinic TPC Users 242
APPENDIX E2 - Interview Guide For Clinic Supervisors 245
APPENDIX E3 - Interview Guide For Divisional Supervisors 247
APPENDIX Fl - Approval Letter from MREC 249
APPENDIX F2 - Approval Letter from CRC 250
APPENDIX F3 - Approval Letter from Ethics Committee UNIMAS 251
Workload from HMIS January to June 2012 in Sarawak 252
APPENDIX G2 - Original Research Model Unstandardized Parameter Estimates 254
APPENDIX G3 - Original Model Standardized Parameter Estimates 255
APPENDIX G4 - Modified Model Unstandardized Parameter Estimation 256
APPENDIX G5 - Modified Model Standardized Parameter Estimates 257
APPENDIXH - Research Schedule (Gantt Chart) 258
XIII
LIST OF TABLES
page
Table 1 Internal Consistency for each Factor in Questionnaire prior to Modification 71
Table 2 Modules in Teleprimary Care selected for Different Categories of Users
Table 3 Utilization of Teleprimary Care System by Users according to Different Category
74
ofPost from January to June 2012 84
Table 4 Distribution of the Respondents by Socio-demographic Characteristics (n = 516) 88
91
Table 5 Distribution of the Respondents by Information related to Teleprimary Care usage
Table 6 Distribution of the Respondents by Computer Literacy (n=516) 92
Table 7 Percentage Distribution ofTechnical Supervisory Visits by Teleprimary Care Team
(n=516) 94
Table 8 Percentage Distribution of Administrative Supervisory Visits (n=516) 94
Table 9 Factors affecting Computer Literacy Bivariate Analysis (n=516) 98
Table 10 Faotors influencing Computer Literacy among TPC users Multinomial Logistic
Regression Analysis 101
106
Table II Distribution of Respondents by Factors affecting Acceptance to use TPC (n=516)
Table 12 Distribution of Respondents by Intention to use TPC (n=516) 108
Table 13 Pearson Correlations between Predictor and Dependent Variables (n=516) 110
Table 14 Means and Standard Deviations for Predictor Variables and Dependent Variable
for Model Testing (n=516) 112
Table 15 Factors affecting Intention to Use TPC Standard Multiple Linear Regression
Analysis (n=442) 112
xiv
Analysis of Overall Model Goodness-of-Fit for Original Research Model 114
Analysis of Overall Model Goodness-of-Fit for Modified ModeL 117
Distribution of the Respondents by Perception on TPC Usage 122
Factors affecting Preferred Method of Documentation Bivariate Analysis (n=350)
125
Factors affecting Preference between Teleprimary Care and Current Paper-based
System Binary Logistic Regression 128
Challenges and Barriers faced by TPC Users (n=516) 130
Comments to improve TPC Usage (n=516) l32
xv
LIST OF FIGURES
page
Figure 1 Network Architecture of Teleprimary Care prior to Migration ofNetwork (Adopted
from the presentation slide by Fauziah 2010) 22
Figure 2 Database Architecture of Teleprimary Care (Adopted from the presentation slide by
Figure 11 Research Framework on Acceptance of Teleprimary Care and Factors affecting it49
Figure 16 Percentage ofTPC usage based on Visit Records from TPC Database and
Rebi amp Pairan 2012) 22
Figure 3 Distributed Multi-Tier Architecture used in Teleprimary Care (Raili et al 2006) 24
Figure 4 Theory of Reasoned Action (Fishbein and Ajzen 1975) 34
Figure 5 Reciprocal Determinism in Social Cognitive Theory (Compeau amp Higgins 1995) 35
Figure 6 Theory of Planned Behaviour (Ajzen 1991 ) 36
Figure 7 Technology Acceptance Model (Davis 1989) 38
Figure 8 Extended Technology Acceptance Model (Venkatesh and Davis 2000) 39
Figure 9 The Model of PC Utilization (Thompson et al 1991) 41
Figure 10 Unified Theory of Acceptance and Use of Technology (Venkatesh et al 2003) 45
Figure 12 Sampling Frame for Quantitative Data Collection 52
Figure 13 Sampling Method for Quantitative Phase of Study 57
Figure 14 Sampling Method for Qualitative Phase of Study 60
Figure 15 Data Collection Procedure for 9uantitative Phase of Study 69
Workload from HMIS January to June 2012 in Sarawak 82
Figure 17 Computer Literacy of Respondents (n=516) 92
Figure 18 Framework on Utilization of Teleprimary Care (Original Model) 116
xvi
19 Framework on Utilization of Teleprimary Care (Original Model) (Standardized
estimates) 116
igure 20 Framework on Utilization of Teleprimary Care (Modified Model) (Unstandardized
Figure 21 Framework on Utilization of Teleprimary Care (Modified Model) (Standardized
estimates) 119
estimates) 119
Figure 22 Any Challenges or Barriers faced(n=516) 130
xvii
LIST OF ABBREVIATIONS
ACG = Adjusted Clinical Group
AMO = Assistant Medical Officer
BPKK = Bahagian Pembangunan Kesihatan Keluarga (FHDD)
CI = Confidence Interval
df = Degree of Freedom
DHO = Divisional Health Office
FHDD = Family Health Development Division
ICT = Information and Communication Technology
lOT = Innovation Diffusion Theory
IT = Information Technology
JM = Jururawat Masyarakat (Community Nurse)
JPL = Jabatan Pesaldt Luar (Out-patient Department)
Lab = Laboratory
LAN = Local Area Network
KK = Klinik Kesihatan (Health Clinic)
KKIA = Klinik Kesihatan Ibu dan Anak (Maternal and Child Health Clinic)
KKM = Kementerian Kesihatan Malaysia (Malaysian Ministry ofHealth)
MA = Medical Assistant (now known as Assistant Medical Officer)
MCH = Maternal and Child Health Clinic
MO = Medical Officer
xviii
------------ --
= Ministry of Health
= Model of Personal Computer Utilization
= Personal Computer
= Pejabat Kesihatan Bahagian (Divisional Health Office)
= Person Management System
= Senior Assistant Medical Officer
= Social Cognitive Theory
= Standard Deviation
= Structural Equation Modeling
= Sasaran Kerja Tahunan
= Technology Acceptance Model
= Extended Technology Acceptance Model
= Theory of Planned Behaviour
1PC = Teleprimary Care
TRA = Theory of Reasoned Action
DNlMAS = Universiti Malaysia Sarawak
UTAUT = Unified Theory of Acceptance and Use ofTechnology
= Very Small Aperture Terminal
WHO = World Health Organization
XIX
CHAPTERl
INTRODUCTION LITERATURE REVIEW
The use of Internet for e-health or medical infonnatics and related technologies to
deliver or improve health services and infonnation has been an emerging field in healthcare
DIII18gement worldwide (Eysenbach 2001) Within this field the World Health Organisation
(WHO) has identified Telemedicine as a possible application to strengthen health systems and
improve the quality of health care delivery in rural areas (WHO 2010) In Malaysia health
management infonnation system such as Teleprimary Care (TPC) were also expected to
show great potential in providing substantial benefits to healthcare providers healthcare
organizations and patients These electronic systems were believed to be able to facilitate the
workflow in healthcare organization improve quality of patient care and enhance patient
safety in management (Brinfo nd)
Teleprimary Care was launched in Malaysia in the year 2004 Till date there are 88
clinics and seven hospitals equipped with TPC system throughout Malaysia (BPKK 2012
BomeoPost Online 2013) TPC system has been designed to provide many functions to help
bealth managers in delivering more efficient health services and having easier monitoring of
the health status of the community However until now TPC has functioned mainly as an
electronic medical record system for storage and retrieving of patients medical data The use
ofTPC for other functions has been limited
Before the introduction of TPC system patients clinical records were documented in
writing and were subjected to errors The conventional system involved tedious paperwork
which required great amount of resources in tenns of time money and manpower both in
ilCOlrdiIll2 and data extraction Many of these surveillance data collected were left aside and
used to its fullest due to the lengthy procedures required to extract information from piles
files and documents Teleprimary Care system was then created with the hope to improve
health information system by providing more timely and accurate information to help
iWMlnvp health status monitoring With TPC system the communication between healthcare
IIImJrittft in rural areas with specialists in hospitals will also be improved as sharing of
PfOlma1tion can be done more effectively
Introduction of TPC in the healthcare system would also mean a major change from
current paper-based documentation system to a fully computerized management system
to this major change should be well expected and anticipated during its
The greatest challenge remains having all the eligible TPC users to
iftMmiddotIVrAt TPC into their routine daily work Despite the great potential in improving the
_Iitv of health care service delivery the positive impact from TPC will only be discerned if
users access and utilize the functions of TPC regularly Therefore understanding of the
1acceDtanCe of TPC among the users and factors affecting their acceptance are crucial for the
~Jaonirlg of a more efficient implementation of TPC in the country Unfortunately the
I tnl[)wlledle and empirical research on the adoption ofTPC currently is still limited in general
The purpose of this study was to gather data regarding usage of TPC system among
the users The data would then be used to explore the socio-demographic characteristics of the
1I8etS their acceptances as well as the factors which may predict their utilization of the TPC
system The acceptance of users towards TPC was assessed through their intentions to use the
system The study also intended to set a platform for the TPC users to voice their perceptions
barriers faced when using the system and to gather the users opinions and priorities in
the current TPC implementation All these information are important in healthcare
2
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3
ABSTRACT
Teleprimary Care (TPC) is an electronic system used in healthcare to facilitate the
workflow in healthcare organization and improve quality of patient care The system which
was introduced in year 2004 has been implemented in 31 health facilities throughout Sarawak
including two hospitals and six divisional health offices To date no proper evaluation has
been done on TPC especially on the acceptance of users towards the system The objective of
this study was to analyze the characteristics of TPC users in Sarawak their acceptances and
perceptions towards the system challenges and barriers faced and comments in improving the
system This was a cross-sectional study using quantitative research method supplemented
with qualitative data to better understand the actual feelings of system users in the field A
total of 516 TPC users throughout Sarawak were surveyed using self-administered
questionnaire and 44 system users as well as system coordinators were interviewed The
overall acceptance of users towards TPC was good Analysis revealed that job relevance
perceived usefulness result demonstrability and subjective norms appeared to be significant
influencing factors for acceptance of TPC However perceived ease of use motivation and
voluntariness were not strong predictors for intentions to use the system Two-fifth of users
preferred TPC system while 28 preferred the conventional paper-based system for
documentation Users who preferred TPC system were those working in the hospital
registration officers and users who had been using the system for more than 3 years The
commonest barriers faced by users were related to technical issues followed by database
problems disruption of face-to-face contact with patients and lack of training Improving the
server for TPC and providing training for all users were among the priorities to improve the
utilization of TPC from the users perspectives Clinic and Divisional coordinators played
important role in TPC implementation but were limited by time constraint and financial
control In conclusion result from the study highlighted the need for future strategies to focus
on improving functionality of TPC in enhancing the workflow of users in their daily works
Supervisors and middotDivisional Health Officers need to be TPC-minded and to encourage the
usage ofTPC among users in the Division There is also an overwhelming need for tackling
the technical issues of TPC and providing training for all users in order to improve the
implementation ofTPC
11
~------------------------------------ ----shy
ABSTRAK
Penerimaan dan Penggunaan Teleprimary Care di Sarawak
Teleprimary Care ([PC) merupakan satu sistem elektronik yang digunakan dalam
bidang kesihatan untuk memudahkan kelancaran kerja dalam organisasi kesihatan serta
meningkatkan kualiti perawatan pesakit Sistem terse but telah diperkenalkan pada tahun
2004 dan kini dilaksanakan di 31 buah fasiliti kesihatan di seluruh Sarawak termasuk dua
buah hospital dan enam buah pejabat kesihatan bahagian Setakat ini tiada penilaian
menyeluruh dilakukan pada sistem TPC terutamanya dari segi peninjauan penerimaan
pengguna terhadap sistem berkenaan Objektif kajian ini adalah untuk menganalisa ciri-ciri
demografi pengguna TPC di Sarawak penerimaan dan pandangan mereka terhadap sistem
berkenaan cabaran dan halangan yang dihadapi serta komen pengguna dalam
penambahbaikan sistem TPC Kajian ini merupakan kajian rentas silang yang melibatkan
teknik pengumpulan data secara kuantitatif ditambahkan dengan data kualitatif bagi
meningkatkan pemahaman perasaan sebenar para pengguna system di lapangan Seramai
516 orang pengguna TPC dari seluruh Sarawak telah disoalselidik menggunakan borang
soalselidik isian sendiri dan 44 orang pengguna beserta penyelaras TPC telah ditemubual
Secara keseluruhannya penerimaan pengguna terhadap sistem TPC adalah baik Analisa
menunjukkan bahawa relevansi kerja tanggapan faedah keupayaan demonstrasi hasil serta
norma subjektif merupakan faktor-faktor yang mempengaruhi penerimaan pengguna
terhadap sistem TPC Walaubagaimanapun tanggapan kesenangan penggunaan motivasi
serta kesukarelaan bukan faktor-faktor yang utama dalam meramal niat kepenggunaan TPC
di kalangan pengguna Dua per lima pengguna lebih menggemari sistem TPC manakala
28 lebih cenderung kepada sistem kertas yang konvensional bagi tujuan dokumentasi
iii
Pengguna yang cenderung kepada TPC merupakan mereka daripada kalangan yang bekerja
di hospital bekerja sebagai pegawai pendaftaran serta pengguna yang telah menggunakan
sistem TPC melebihi tiga tahun Rintangan yang paling kerap dihadapi oleh pengguna TPC
adalah masalah berkaitan teknikal diikuti dengan masalah pangkalan data gangguan dalam
pelaksanaan kerja yang berkualiti serta kekurangan latihan dalam bidang ini Berdasarkan
kepada perspeksi pengguna penambahbaikan rangkaian server TPC serta penyediaan
latihan bagi semua pengguna TPC adalah antara strategi yang patut diberi keutamaan dalam
meningkatkan penggunaan TPC Penyelaras TPC peringkat klinik serta Bahagian turut
memainkan peranan yang penting dalam implementasi TPC Namun usaha mereka dalam
hal ini kerap terse kat dari segi desakan masa dan kuasa pengawalan kewangan TPC
Kesimpulannya keputusan yang diperolehi melalui kajian ini menegaskan keperluan bagi
perancangan strategi masa hadapan untuk berfokus kepada meningkatkan fungsi-fungsi TPC
dalam melancarkan aliran kerja para pengguna Penyelaras dan Pegawai Kesihatan
Bahagian sepatutnya mempunyai minda yang positij terhadap TPC dan menggalakkan para
pengguna TPC di bawah penguasaannya supaya meningkatkan penggunaan TPC Masalah
teknikal berkenaan TPC juga patut ditanggani dengan segera dan latihan penggunaan TPC
wajar diberikan kepada semua pengguna TPC supaya implementasi TPC dapat ditingkatkan
lV
DECLARATION
No portion of the work referred to in this dissertation has been submitted in support of an
application for another degree of qualification of this or any other university or institution of
higher learning
Signature
Name HOAICHIA
Date 27 MAY 2013
v
ACKNOWLEDGEMENTS
It is my prestigious privilege to express my deepest gratitude and appreciation to both
my research supervisors Professor Dr Mohamad Raili bin Suhaili and Dato Dr Andrew Kiyu
Dawie Usop for their enthusiasm constant guidance and valuable suggestions from the
beginning to the end of my research I am truly grateful for their sincere effort and greatest
patience in giving clear guidance and intellectual direction to my dissertation Their
continuous supports have been the greatest cue for me to embark on this research I can never
thank Prof Raili enough for his assistance and effort in making my data collection process for
this research a smooth sail
This dissertation would not have completed in time without the dedication and
enthusiasm given by my lecturer in Biostatistics Associate Professor Dr Md Mizanur
Rahman His continuous inspiration constructive criticism and valuable directions all through
the course had guided me throughout the dissertation preparation period
I would also like to express my deepest thanks to the Dean of Faculty of Medicine and
Health Sciences UNIMAS Professor Dr Ahmad Hata Rasit and the Deputy Dean
(postgraduate and Research) Professor Dr Lela Suut for their kindest supports in this
programme and our research study My special thanks also goes to my lecturer and fonner
Dean Tan Sri Datu Prof Dr Hj Mohd Taha bin Arif for his continuous support and guidance
throughout my study
I can go no further without expressing my appreciation and gratitude to Dr Flora Ong
whom had provided valuable guidance and advice on this research based on her enriching
experience in Teleprimary Care of Sarawak
VI
I would like to acknowledge the State Health Director of Sarawak Dato Dr Zulkifli
bin Jantan for his kind consideration and approval on my proposal in order for me to proceed
with my research study This study would not have gone this far without the support from all
the Divisional Health Officers involved in the research Dr Kamarudin bin Lajim Dr Julaidah
bt Sharip Dr Muhamad Rais Abdullah Dr Osman Bin Rafaie Dr Hasrina Hassan and Dr
Ngian Hie Ung and former Directors of Sibu Hospital Dr Chin Zin Hing and Dr Audrey
Gapoh to agree to this research in their respective health premises and offer of assistance in
transportation and accommodation
I would like to give special acknowledgement to all the staff of Telehealth Unit of
Sarawak State Health Department and Sibu Hospital especially Dr Eunice Melissa Joseph Dr
Diana Jawa SAMO Mr Bobby Hudson Didet and AMO Mr Alexander Ringga for their time
and effort in extracting the relevant data from the database and sharing of invaluable
comments and suggestions for this research Without their kind assistance and cooperation
this study could not be accomplished
A word of appreciation also goes to Mdm Chin Siew Kiaw Dr Lai Boon Foo and Dr
Nolan Teo who have given my all the support and help during the data collection I would
also like to extent my deepest appreciation to all nursing sisters matrons and assistant
medical officers whom were hold in-charge of TPC in every divisions and clinics for their
contributions and support at various stages of the study None ever hesitate to assist whenever
required to do so
My very special thanks to the Head of Department of Community Medicine and
Public Health Department UNIMAS Associate Professor Dr Kamaluddin Bakar Associate
Professor Dr Ong Puay Hoon and all my academic advisors and lecturers for their
continuous efforts of assistance valuable advice and encouragement throughout my study
vii
process and dissertation writing I will never forget the enthusiasm and kindness they have
given to me
My sincere gratitude also goes to my dearest course-mates Dr Sharifah Norashikin
binti Wan Ahmad and Dr Shahnur Begum and all other DrPH candidates of UNIMAS for
their valuable supports and helpfulness throughout the course All your opinions and
suggestions had contributed to the success of this dissertation I would like to specially
mention my appreciation for Dr Sharifah Norashikin for being such a wonderful companion
of mine when travelling throughout Sarawak for data collection
I am particularly indebted to my loving parents and family members for their love
support inspiration encouragement and good understanding of me throughout this study
period which enabled me to reach the study goal
I would like to acknowledge all of the other people who have knowingly or
unknowingly contributed towards whatever merits this research and dissertation possess I
am regretful if am not able to recall everyone as I am certainly indebted to them
Last but by no means least lowe a great debt of gratitude to all the TPC users in
Sarawak who have agreed to spare their precious time off from their working hours to
participate in this study This study will never come to a success without their willingness to
share their thoughts on TPC
Thank you very much to all
HoAiChia
viii
Pusat Khidmat Maklumat Akademik UNlVERSm MALAYSIA SARAWAK
TABLE OF CONTENTS
page
ABSTRACT i
LIST OF ABBREVIATIONS xviii
ABSTRAK iii
DECLARATION v
ACKNOWLEDGEMENTS vi
TABLE OF CONTENTS ix
LIST OF TABLES xiv
LIST OF FIGURES xvi
CHAPTER 1 INTRODUCTION LITERATURE REVIEW
11 Introduction 1
111 Teleprimary Care in Malaysia 3
12 Problem Statement 5
13 Research Questions 7
14 Research Objectives 8
141 General Objective 8
142 Specific Objectives 8
15 Research Hypotheses 9
16 Significance of the Study 10
17 Literature Review 12
171 Health Delivery System in Sarawak 12
172 The Future of Health Delivery System in Malaysia 13
ix
173 Primary Healthcare Infonnatics in Malaysia 16
174 Teleprimary Care in Sarawak 17
175 Computer Literacy among Health Staff 28
176 Implementation oflnfonnation Technology Application in Healthcare 29
177 Theories explaining Acceptance of Technology 32
178 Summary44
18 Research Framework 47
CHAPTER 2 METHODOLOGY
21 Research Design 50
22 Study Population and Setting 50
221 Population and Setting 50
222 Inclusion and Exclusion Criteria 51
23 Sample Size Calculation 54
231 Sample Size for Quantitative Study 54
232 Sample Size for Qualitative Study 55
24 Sampling Procedure 56
241 Sampling Procedure for Quantitative Study 56
242 Sampling Procedure for Qualitative Study 58
25 Instrument Development 60
251 Study Instrument 61
252 Variables 63
253 Operational Definitions 64
26 Data Collection Procedure 67
x
261 Document Analysis 67
262 Data Collection Procedure for Quantitative Phase 67
263 Data Collection Procedure for Qualitative Phase 68
27 Validity and Reliability Testing 69
271 Validation ofQuestiOlUlaire 70
272 Pilot Study for Quantitative Study 70
273 Pretesting for Qualitative Study 72
28 Data Analysis 73
281 Document Analysis on TPC Utilization 73
282 Quantitative Data Analysis 74
283 Qualitative Data Analysis 74
29 Ethical Consideration 75
210 Duration of Study 77
211 Limitations of Study 78
CHAPTER 3 RESULTS
31 Introduction80
32 Document Analysis 81
321 Utilization of Teleprimary Care according to Divisions and Centres 81
322 Utilization according to Category of Post (Jan-Jun 2012) 82
323 Summary from Document Analysis 84
33 Quantitative Analysis 85
331 Socio-Demographic Characteristics 85
332 Information related to TPC usage 89
Xl
333 Factors affecting Computer Literacy 95
334 User Acceptance ofTPC 102
335 Perceptions of Users on TPC usage 120
336 Challenges and Barriers Faced by TPC Users 129
337 Comments and Recommendations by TPC Users 131
338 Summary from Quantitative Analysis 132
34 Qualitative Analysis 133
341 Acceptance ofTPC Usage 134
342 Perceptions of Users on TPC usage 147
343 Challenges and Barriers Faced by Users 155
344 Comments and Recommendations Users Perspectives 161
345 Supervisors Perceptions of Teleprimary Care 164
346 Summary from Qualitative Analysis 171
CHAPTER 4 DISCUSSION
41 Discussion 172
42 Management Implications 189
CHAPTER 5 SUMMARY AND CONCLUSIONS
51 Summary and Conclusion 191
52 Recommendations 194
521 Recommendations for Future Study 194
522 Recommendations for Future TPC Implementation Strategies 194
xii
BIBLIOGRAPHy 199
APPENDICES
APPENDIX A - List of Teleprimary Care centres in Sarawak 216
APPENDIX B1 - Questionnaire (Quantitative Study) English Version
APPENDIX Gl - Percentage ofTPC usage based on Visit Records from TPC Database and
217
APPENDIX B2 - Questionnaire (Quantitative Study) Malay Version 223
APPENDIX C1 - Informed Consent Form (English Version) 230
APPENDIX C2 - Informed Consent Form (Malay Version) 233
APPENDIX D1 - Researchers Information Form (English Version) 237
APPENDIX D2 - Researchers Information Form (Malay Version) 239
APPENDIX E1 - Interview Guide For Clinic TPC Users 242
APPENDIX E2 - Interview Guide For Clinic Supervisors 245
APPENDIX E3 - Interview Guide For Divisional Supervisors 247
APPENDIX Fl - Approval Letter from MREC 249
APPENDIX F2 - Approval Letter from CRC 250
APPENDIX F3 - Approval Letter from Ethics Committee UNIMAS 251
Workload from HMIS January to June 2012 in Sarawak 252
APPENDIX G2 - Original Research Model Unstandardized Parameter Estimates 254
APPENDIX G3 - Original Model Standardized Parameter Estimates 255
APPENDIX G4 - Modified Model Unstandardized Parameter Estimation 256
APPENDIX G5 - Modified Model Standardized Parameter Estimates 257
APPENDIXH - Research Schedule (Gantt Chart) 258
XIII
LIST OF TABLES
page
Table 1 Internal Consistency for each Factor in Questionnaire prior to Modification 71
Table 2 Modules in Teleprimary Care selected for Different Categories of Users
Table 3 Utilization of Teleprimary Care System by Users according to Different Category
74
ofPost from January to June 2012 84
Table 4 Distribution of the Respondents by Socio-demographic Characteristics (n = 516) 88
91
Table 5 Distribution of the Respondents by Information related to Teleprimary Care usage
Table 6 Distribution of the Respondents by Computer Literacy (n=516) 92
Table 7 Percentage Distribution ofTechnical Supervisory Visits by Teleprimary Care Team
(n=516) 94
Table 8 Percentage Distribution of Administrative Supervisory Visits (n=516) 94
Table 9 Factors affecting Computer Literacy Bivariate Analysis (n=516) 98
Table 10 Faotors influencing Computer Literacy among TPC users Multinomial Logistic
Regression Analysis 101
106
Table II Distribution of Respondents by Factors affecting Acceptance to use TPC (n=516)
Table 12 Distribution of Respondents by Intention to use TPC (n=516) 108
Table 13 Pearson Correlations between Predictor and Dependent Variables (n=516) 110
Table 14 Means and Standard Deviations for Predictor Variables and Dependent Variable
for Model Testing (n=516) 112
Table 15 Factors affecting Intention to Use TPC Standard Multiple Linear Regression
Analysis (n=442) 112
xiv
Analysis of Overall Model Goodness-of-Fit for Original Research Model 114
Analysis of Overall Model Goodness-of-Fit for Modified ModeL 117
Distribution of the Respondents by Perception on TPC Usage 122
Factors affecting Preferred Method of Documentation Bivariate Analysis (n=350)
125
Factors affecting Preference between Teleprimary Care and Current Paper-based
System Binary Logistic Regression 128
Challenges and Barriers faced by TPC Users (n=516) 130
Comments to improve TPC Usage (n=516) l32
xv
LIST OF FIGURES
page
Figure 1 Network Architecture of Teleprimary Care prior to Migration ofNetwork (Adopted
from the presentation slide by Fauziah 2010) 22
Figure 2 Database Architecture of Teleprimary Care (Adopted from the presentation slide by
Figure 11 Research Framework on Acceptance of Teleprimary Care and Factors affecting it49
Figure 16 Percentage ofTPC usage based on Visit Records from TPC Database and
Rebi amp Pairan 2012) 22
Figure 3 Distributed Multi-Tier Architecture used in Teleprimary Care (Raili et al 2006) 24
Figure 4 Theory of Reasoned Action (Fishbein and Ajzen 1975) 34
Figure 5 Reciprocal Determinism in Social Cognitive Theory (Compeau amp Higgins 1995) 35
Figure 6 Theory of Planned Behaviour (Ajzen 1991 ) 36
Figure 7 Technology Acceptance Model (Davis 1989) 38
Figure 8 Extended Technology Acceptance Model (Venkatesh and Davis 2000) 39
Figure 9 The Model of PC Utilization (Thompson et al 1991) 41
Figure 10 Unified Theory of Acceptance and Use of Technology (Venkatesh et al 2003) 45
Figure 12 Sampling Frame for Quantitative Data Collection 52
Figure 13 Sampling Method for Quantitative Phase of Study 57
Figure 14 Sampling Method for Qualitative Phase of Study 60
Figure 15 Data Collection Procedure for 9uantitative Phase of Study 69
Workload from HMIS January to June 2012 in Sarawak 82
Figure 17 Computer Literacy of Respondents (n=516) 92
Figure 18 Framework on Utilization of Teleprimary Care (Original Model) 116
xvi
19 Framework on Utilization of Teleprimary Care (Original Model) (Standardized
estimates) 116
igure 20 Framework on Utilization of Teleprimary Care (Modified Model) (Unstandardized
Figure 21 Framework on Utilization of Teleprimary Care (Modified Model) (Standardized
estimates) 119
estimates) 119
Figure 22 Any Challenges or Barriers faced(n=516) 130
xvii
LIST OF ABBREVIATIONS
ACG = Adjusted Clinical Group
AMO = Assistant Medical Officer
BPKK = Bahagian Pembangunan Kesihatan Keluarga (FHDD)
CI = Confidence Interval
df = Degree of Freedom
DHO = Divisional Health Office
FHDD = Family Health Development Division
ICT = Information and Communication Technology
lOT = Innovation Diffusion Theory
IT = Information Technology
JM = Jururawat Masyarakat (Community Nurse)
JPL = Jabatan Pesaldt Luar (Out-patient Department)
Lab = Laboratory
LAN = Local Area Network
KK = Klinik Kesihatan (Health Clinic)
KKIA = Klinik Kesihatan Ibu dan Anak (Maternal and Child Health Clinic)
KKM = Kementerian Kesihatan Malaysia (Malaysian Ministry ofHealth)
MA = Medical Assistant (now known as Assistant Medical Officer)
MCH = Maternal and Child Health Clinic
MO = Medical Officer
xviii
------------ --
= Ministry of Health
= Model of Personal Computer Utilization
= Personal Computer
= Pejabat Kesihatan Bahagian (Divisional Health Office)
= Person Management System
= Senior Assistant Medical Officer
= Social Cognitive Theory
= Standard Deviation
= Structural Equation Modeling
= Sasaran Kerja Tahunan
= Technology Acceptance Model
= Extended Technology Acceptance Model
= Theory of Planned Behaviour
1PC = Teleprimary Care
TRA = Theory of Reasoned Action
DNlMAS = Universiti Malaysia Sarawak
UTAUT = Unified Theory of Acceptance and Use ofTechnology
= Very Small Aperture Terminal
WHO = World Health Organization
XIX
CHAPTERl
INTRODUCTION LITERATURE REVIEW
The use of Internet for e-health or medical infonnatics and related technologies to
deliver or improve health services and infonnation has been an emerging field in healthcare
DIII18gement worldwide (Eysenbach 2001) Within this field the World Health Organisation
(WHO) has identified Telemedicine as a possible application to strengthen health systems and
improve the quality of health care delivery in rural areas (WHO 2010) In Malaysia health
management infonnation system such as Teleprimary Care (TPC) were also expected to
show great potential in providing substantial benefits to healthcare providers healthcare
organizations and patients These electronic systems were believed to be able to facilitate the
workflow in healthcare organization improve quality of patient care and enhance patient
safety in management (Brinfo nd)
Teleprimary Care was launched in Malaysia in the year 2004 Till date there are 88
clinics and seven hospitals equipped with TPC system throughout Malaysia (BPKK 2012
BomeoPost Online 2013) TPC system has been designed to provide many functions to help
bealth managers in delivering more efficient health services and having easier monitoring of
the health status of the community However until now TPC has functioned mainly as an
electronic medical record system for storage and retrieving of patients medical data The use
ofTPC for other functions has been limited
Before the introduction of TPC system patients clinical records were documented in
writing and were subjected to errors The conventional system involved tedious paperwork
which required great amount of resources in tenns of time money and manpower both in
ilCOlrdiIll2 and data extraction Many of these surveillance data collected were left aside and
used to its fullest due to the lengthy procedures required to extract information from piles
files and documents Teleprimary Care system was then created with the hope to improve
health information system by providing more timely and accurate information to help
iWMlnvp health status monitoring With TPC system the communication between healthcare
IIImJrittft in rural areas with specialists in hospitals will also be improved as sharing of
PfOlma1tion can be done more effectively
Introduction of TPC in the healthcare system would also mean a major change from
current paper-based documentation system to a fully computerized management system
to this major change should be well expected and anticipated during its
The greatest challenge remains having all the eligible TPC users to
iftMmiddotIVrAt TPC into their routine daily work Despite the great potential in improving the
_Iitv of health care service delivery the positive impact from TPC will only be discerned if
users access and utilize the functions of TPC regularly Therefore understanding of the
1acceDtanCe of TPC among the users and factors affecting their acceptance are crucial for the
~Jaonirlg of a more efficient implementation of TPC in the country Unfortunately the
I tnl[)wlledle and empirical research on the adoption ofTPC currently is still limited in general
The purpose of this study was to gather data regarding usage of TPC system among
the users The data would then be used to explore the socio-demographic characteristics of the
1I8etS their acceptances as well as the factors which may predict their utilization of the TPC
system The acceptance of users towards TPC was assessed through their intentions to use the
system The study also intended to set a platform for the TPC users to voice their perceptions
barriers faced when using the system and to gather the users opinions and priorities in
the current TPC implementation All these information are important in healthcare
2
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3
control In conclusion result from the study highlighted the need for future strategies to focus
on improving functionality of TPC in enhancing the workflow of users in their daily works
Supervisors and middotDivisional Health Officers need to be TPC-minded and to encourage the
usage ofTPC among users in the Division There is also an overwhelming need for tackling
the technical issues of TPC and providing training for all users in order to improve the
implementation ofTPC
11
~------------------------------------ ----shy
ABSTRAK
Penerimaan dan Penggunaan Teleprimary Care di Sarawak
Teleprimary Care ([PC) merupakan satu sistem elektronik yang digunakan dalam
bidang kesihatan untuk memudahkan kelancaran kerja dalam organisasi kesihatan serta
meningkatkan kualiti perawatan pesakit Sistem terse but telah diperkenalkan pada tahun
2004 dan kini dilaksanakan di 31 buah fasiliti kesihatan di seluruh Sarawak termasuk dua
buah hospital dan enam buah pejabat kesihatan bahagian Setakat ini tiada penilaian
menyeluruh dilakukan pada sistem TPC terutamanya dari segi peninjauan penerimaan
pengguna terhadap sistem berkenaan Objektif kajian ini adalah untuk menganalisa ciri-ciri
demografi pengguna TPC di Sarawak penerimaan dan pandangan mereka terhadap sistem
berkenaan cabaran dan halangan yang dihadapi serta komen pengguna dalam
penambahbaikan sistem TPC Kajian ini merupakan kajian rentas silang yang melibatkan
teknik pengumpulan data secara kuantitatif ditambahkan dengan data kualitatif bagi
meningkatkan pemahaman perasaan sebenar para pengguna system di lapangan Seramai
516 orang pengguna TPC dari seluruh Sarawak telah disoalselidik menggunakan borang
soalselidik isian sendiri dan 44 orang pengguna beserta penyelaras TPC telah ditemubual
Secara keseluruhannya penerimaan pengguna terhadap sistem TPC adalah baik Analisa
menunjukkan bahawa relevansi kerja tanggapan faedah keupayaan demonstrasi hasil serta
norma subjektif merupakan faktor-faktor yang mempengaruhi penerimaan pengguna
terhadap sistem TPC Walaubagaimanapun tanggapan kesenangan penggunaan motivasi
serta kesukarelaan bukan faktor-faktor yang utama dalam meramal niat kepenggunaan TPC
di kalangan pengguna Dua per lima pengguna lebih menggemari sistem TPC manakala
28 lebih cenderung kepada sistem kertas yang konvensional bagi tujuan dokumentasi
iii
Pengguna yang cenderung kepada TPC merupakan mereka daripada kalangan yang bekerja
di hospital bekerja sebagai pegawai pendaftaran serta pengguna yang telah menggunakan
sistem TPC melebihi tiga tahun Rintangan yang paling kerap dihadapi oleh pengguna TPC
adalah masalah berkaitan teknikal diikuti dengan masalah pangkalan data gangguan dalam
pelaksanaan kerja yang berkualiti serta kekurangan latihan dalam bidang ini Berdasarkan
kepada perspeksi pengguna penambahbaikan rangkaian server TPC serta penyediaan
latihan bagi semua pengguna TPC adalah antara strategi yang patut diberi keutamaan dalam
meningkatkan penggunaan TPC Penyelaras TPC peringkat klinik serta Bahagian turut
memainkan peranan yang penting dalam implementasi TPC Namun usaha mereka dalam
hal ini kerap terse kat dari segi desakan masa dan kuasa pengawalan kewangan TPC
Kesimpulannya keputusan yang diperolehi melalui kajian ini menegaskan keperluan bagi
perancangan strategi masa hadapan untuk berfokus kepada meningkatkan fungsi-fungsi TPC
dalam melancarkan aliran kerja para pengguna Penyelaras dan Pegawai Kesihatan
Bahagian sepatutnya mempunyai minda yang positij terhadap TPC dan menggalakkan para
pengguna TPC di bawah penguasaannya supaya meningkatkan penggunaan TPC Masalah
teknikal berkenaan TPC juga patut ditanggani dengan segera dan latihan penggunaan TPC
wajar diberikan kepada semua pengguna TPC supaya implementasi TPC dapat ditingkatkan
lV
DECLARATION
No portion of the work referred to in this dissertation has been submitted in support of an
application for another degree of qualification of this or any other university or institution of
higher learning
Signature
Name HOAICHIA
Date 27 MAY 2013
v
ACKNOWLEDGEMENTS
It is my prestigious privilege to express my deepest gratitude and appreciation to both
my research supervisors Professor Dr Mohamad Raili bin Suhaili and Dato Dr Andrew Kiyu
Dawie Usop for their enthusiasm constant guidance and valuable suggestions from the
beginning to the end of my research I am truly grateful for their sincere effort and greatest
patience in giving clear guidance and intellectual direction to my dissertation Their
continuous supports have been the greatest cue for me to embark on this research I can never
thank Prof Raili enough for his assistance and effort in making my data collection process for
this research a smooth sail
This dissertation would not have completed in time without the dedication and
enthusiasm given by my lecturer in Biostatistics Associate Professor Dr Md Mizanur
Rahman His continuous inspiration constructive criticism and valuable directions all through
the course had guided me throughout the dissertation preparation period
I would also like to express my deepest thanks to the Dean of Faculty of Medicine and
Health Sciences UNIMAS Professor Dr Ahmad Hata Rasit and the Deputy Dean
(postgraduate and Research) Professor Dr Lela Suut for their kindest supports in this
programme and our research study My special thanks also goes to my lecturer and fonner
Dean Tan Sri Datu Prof Dr Hj Mohd Taha bin Arif for his continuous support and guidance
throughout my study
I can go no further without expressing my appreciation and gratitude to Dr Flora Ong
whom had provided valuable guidance and advice on this research based on her enriching
experience in Teleprimary Care of Sarawak
VI
I would like to acknowledge the State Health Director of Sarawak Dato Dr Zulkifli
bin Jantan for his kind consideration and approval on my proposal in order for me to proceed
with my research study This study would not have gone this far without the support from all
the Divisional Health Officers involved in the research Dr Kamarudin bin Lajim Dr Julaidah
bt Sharip Dr Muhamad Rais Abdullah Dr Osman Bin Rafaie Dr Hasrina Hassan and Dr
Ngian Hie Ung and former Directors of Sibu Hospital Dr Chin Zin Hing and Dr Audrey
Gapoh to agree to this research in their respective health premises and offer of assistance in
transportation and accommodation
I would like to give special acknowledgement to all the staff of Telehealth Unit of
Sarawak State Health Department and Sibu Hospital especially Dr Eunice Melissa Joseph Dr
Diana Jawa SAMO Mr Bobby Hudson Didet and AMO Mr Alexander Ringga for their time
and effort in extracting the relevant data from the database and sharing of invaluable
comments and suggestions for this research Without their kind assistance and cooperation
this study could not be accomplished
A word of appreciation also goes to Mdm Chin Siew Kiaw Dr Lai Boon Foo and Dr
Nolan Teo who have given my all the support and help during the data collection I would
also like to extent my deepest appreciation to all nursing sisters matrons and assistant
medical officers whom were hold in-charge of TPC in every divisions and clinics for their
contributions and support at various stages of the study None ever hesitate to assist whenever
required to do so
My very special thanks to the Head of Department of Community Medicine and
Public Health Department UNIMAS Associate Professor Dr Kamaluddin Bakar Associate
Professor Dr Ong Puay Hoon and all my academic advisors and lecturers for their
continuous efforts of assistance valuable advice and encouragement throughout my study
vii
process and dissertation writing I will never forget the enthusiasm and kindness they have
given to me
My sincere gratitude also goes to my dearest course-mates Dr Sharifah Norashikin
binti Wan Ahmad and Dr Shahnur Begum and all other DrPH candidates of UNIMAS for
their valuable supports and helpfulness throughout the course All your opinions and
suggestions had contributed to the success of this dissertation I would like to specially
mention my appreciation for Dr Sharifah Norashikin for being such a wonderful companion
of mine when travelling throughout Sarawak for data collection
I am particularly indebted to my loving parents and family members for their love
support inspiration encouragement and good understanding of me throughout this study
period which enabled me to reach the study goal
I would like to acknowledge all of the other people who have knowingly or
unknowingly contributed towards whatever merits this research and dissertation possess I
am regretful if am not able to recall everyone as I am certainly indebted to them
Last but by no means least lowe a great debt of gratitude to all the TPC users in
Sarawak who have agreed to spare their precious time off from their working hours to
participate in this study This study will never come to a success without their willingness to
share their thoughts on TPC
Thank you very much to all
HoAiChia
viii
Pusat Khidmat Maklumat Akademik UNlVERSm MALAYSIA SARAWAK
TABLE OF CONTENTS
page
ABSTRACT i
LIST OF ABBREVIATIONS xviii
ABSTRAK iii
DECLARATION v
ACKNOWLEDGEMENTS vi
TABLE OF CONTENTS ix
LIST OF TABLES xiv
LIST OF FIGURES xvi
CHAPTER 1 INTRODUCTION LITERATURE REVIEW
11 Introduction 1
111 Teleprimary Care in Malaysia 3
12 Problem Statement 5
13 Research Questions 7
14 Research Objectives 8
141 General Objective 8
142 Specific Objectives 8
15 Research Hypotheses 9
16 Significance of the Study 10
17 Literature Review 12
171 Health Delivery System in Sarawak 12
172 The Future of Health Delivery System in Malaysia 13
ix
173 Primary Healthcare Infonnatics in Malaysia 16
174 Teleprimary Care in Sarawak 17
175 Computer Literacy among Health Staff 28
176 Implementation oflnfonnation Technology Application in Healthcare 29
177 Theories explaining Acceptance of Technology 32
178 Summary44
18 Research Framework 47
CHAPTER 2 METHODOLOGY
21 Research Design 50
22 Study Population and Setting 50
221 Population and Setting 50
222 Inclusion and Exclusion Criteria 51
23 Sample Size Calculation 54
231 Sample Size for Quantitative Study 54
232 Sample Size for Qualitative Study 55
24 Sampling Procedure 56
241 Sampling Procedure for Quantitative Study 56
242 Sampling Procedure for Qualitative Study 58
25 Instrument Development 60
251 Study Instrument 61
252 Variables 63
253 Operational Definitions 64
26 Data Collection Procedure 67
x
261 Document Analysis 67
262 Data Collection Procedure for Quantitative Phase 67
263 Data Collection Procedure for Qualitative Phase 68
27 Validity and Reliability Testing 69
271 Validation ofQuestiOlUlaire 70
272 Pilot Study for Quantitative Study 70
273 Pretesting for Qualitative Study 72
28 Data Analysis 73
281 Document Analysis on TPC Utilization 73
282 Quantitative Data Analysis 74
283 Qualitative Data Analysis 74
29 Ethical Consideration 75
210 Duration of Study 77
211 Limitations of Study 78
CHAPTER 3 RESULTS
31 Introduction80
32 Document Analysis 81
321 Utilization of Teleprimary Care according to Divisions and Centres 81
322 Utilization according to Category of Post (Jan-Jun 2012) 82
323 Summary from Document Analysis 84
33 Quantitative Analysis 85
331 Socio-Demographic Characteristics 85
332 Information related to TPC usage 89
Xl
333 Factors affecting Computer Literacy 95
334 User Acceptance ofTPC 102
335 Perceptions of Users on TPC usage 120
336 Challenges and Barriers Faced by TPC Users 129
337 Comments and Recommendations by TPC Users 131
338 Summary from Quantitative Analysis 132
34 Qualitative Analysis 133
341 Acceptance ofTPC Usage 134
342 Perceptions of Users on TPC usage 147
343 Challenges and Barriers Faced by Users 155
344 Comments and Recommendations Users Perspectives 161
345 Supervisors Perceptions of Teleprimary Care 164
346 Summary from Qualitative Analysis 171
CHAPTER 4 DISCUSSION
41 Discussion 172
42 Management Implications 189
CHAPTER 5 SUMMARY AND CONCLUSIONS
51 Summary and Conclusion 191
52 Recommendations 194
521 Recommendations for Future Study 194
522 Recommendations for Future TPC Implementation Strategies 194
xii
BIBLIOGRAPHy 199
APPENDICES
APPENDIX A - List of Teleprimary Care centres in Sarawak 216
APPENDIX B1 - Questionnaire (Quantitative Study) English Version
APPENDIX Gl - Percentage ofTPC usage based on Visit Records from TPC Database and
217
APPENDIX B2 - Questionnaire (Quantitative Study) Malay Version 223
APPENDIX C1 - Informed Consent Form (English Version) 230
APPENDIX C2 - Informed Consent Form (Malay Version) 233
APPENDIX D1 - Researchers Information Form (English Version) 237
APPENDIX D2 - Researchers Information Form (Malay Version) 239
APPENDIX E1 - Interview Guide For Clinic TPC Users 242
APPENDIX E2 - Interview Guide For Clinic Supervisors 245
APPENDIX E3 - Interview Guide For Divisional Supervisors 247
APPENDIX Fl - Approval Letter from MREC 249
APPENDIX F2 - Approval Letter from CRC 250
APPENDIX F3 - Approval Letter from Ethics Committee UNIMAS 251
Workload from HMIS January to June 2012 in Sarawak 252
APPENDIX G2 - Original Research Model Unstandardized Parameter Estimates 254
APPENDIX G3 - Original Model Standardized Parameter Estimates 255
APPENDIX G4 - Modified Model Unstandardized Parameter Estimation 256
APPENDIX G5 - Modified Model Standardized Parameter Estimates 257
APPENDIXH - Research Schedule (Gantt Chart) 258
XIII
LIST OF TABLES
page
Table 1 Internal Consistency for each Factor in Questionnaire prior to Modification 71
Table 2 Modules in Teleprimary Care selected for Different Categories of Users
Table 3 Utilization of Teleprimary Care System by Users according to Different Category
74
ofPost from January to June 2012 84
Table 4 Distribution of the Respondents by Socio-demographic Characteristics (n = 516) 88
91
Table 5 Distribution of the Respondents by Information related to Teleprimary Care usage
Table 6 Distribution of the Respondents by Computer Literacy (n=516) 92
Table 7 Percentage Distribution ofTechnical Supervisory Visits by Teleprimary Care Team
(n=516) 94
Table 8 Percentage Distribution of Administrative Supervisory Visits (n=516) 94
Table 9 Factors affecting Computer Literacy Bivariate Analysis (n=516) 98
Table 10 Faotors influencing Computer Literacy among TPC users Multinomial Logistic
Regression Analysis 101
106
Table II Distribution of Respondents by Factors affecting Acceptance to use TPC (n=516)
Table 12 Distribution of Respondents by Intention to use TPC (n=516) 108
Table 13 Pearson Correlations between Predictor and Dependent Variables (n=516) 110
Table 14 Means and Standard Deviations for Predictor Variables and Dependent Variable
for Model Testing (n=516) 112
Table 15 Factors affecting Intention to Use TPC Standard Multiple Linear Regression
Analysis (n=442) 112
xiv
Analysis of Overall Model Goodness-of-Fit for Original Research Model 114
Analysis of Overall Model Goodness-of-Fit for Modified ModeL 117
Distribution of the Respondents by Perception on TPC Usage 122
Factors affecting Preferred Method of Documentation Bivariate Analysis (n=350)
125
Factors affecting Preference between Teleprimary Care and Current Paper-based
System Binary Logistic Regression 128
Challenges and Barriers faced by TPC Users (n=516) 130
Comments to improve TPC Usage (n=516) l32
xv
LIST OF FIGURES
page
Figure 1 Network Architecture of Teleprimary Care prior to Migration ofNetwork (Adopted
from the presentation slide by Fauziah 2010) 22
Figure 2 Database Architecture of Teleprimary Care (Adopted from the presentation slide by
Figure 11 Research Framework on Acceptance of Teleprimary Care and Factors affecting it49
Figure 16 Percentage ofTPC usage based on Visit Records from TPC Database and
Rebi amp Pairan 2012) 22
Figure 3 Distributed Multi-Tier Architecture used in Teleprimary Care (Raili et al 2006) 24
Figure 4 Theory of Reasoned Action (Fishbein and Ajzen 1975) 34
Figure 5 Reciprocal Determinism in Social Cognitive Theory (Compeau amp Higgins 1995) 35
Figure 6 Theory of Planned Behaviour (Ajzen 1991 ) 36
Figure 7 Technology Acceptance Model (Davis 1989) 38
Figure 8 Extended Technology Acceptance Model (Venkatesh and Davis 2000) 39
Figure 9 The Model of PC Utilization (Thompson et al 1991) 41
Figure 10 Unified Theory of Acceptance and Use of Technology (Venkatesh et al 2003) 45
Figure 12 Sampling Frame for Quantitative Data Collection 52
Figure 13 Sampling Method for Quantitative Phase of Study 57
Figure 14 Sampling Method for Qualitative Phase of Study 60
Figure 15 Data Collection Procedure for 9uantitative Phase of Study 69
Workload from HMIS January to June 2012 in Sarawak 82
Figure 17 Computer Literacy of Respondents (n=516) 92
Figure 18 Framework on Utilization of Teleprimary Care (Original Model) 116
xvi
19 Framework on Utilization of Teleprimary Care (Original Model) (Standardized
estimates) 116
igure 20 Framework on Utilization of Teleprimary Care (Modified Model) (Unstandardized
Figure 21 Framework on Utilization of Teleprimary Care (Modified Model) (Standardized
estimates) 119
estimates) 119
Figure 22 Any Challenges or Barriers faced(n=516) 130
xvii
LIST OF ABBREVIATIONS
ACG = Adjusted Clinical Group
AMO = Assistant Medical Officer
BPKK = Bahagian Pembangunan Kesihatan Keluarga (FHDD)
CI = Confidence Interval
df = Degree of Freedom
DHO = Divisional Health Office
FHDD = Family Health Development Division
ICT = Information and Communication Technology
lOT = Innovation Diffusion Theory
IT = Information Technology
JM = Jururawat Masyarakat (Community Nurse)
JPL = Jabatan Pesaldt Luar (Out-patient Department)
Lab = Laboratory
LAN = Local Area Network
KK = Klinik Kesihatan (Health Clinic)
KKIA = Klinik Kesihatan Ibu dan Anak (Maternal and Child Health Clinic)
KKM = Kementerian Kesihatan Malaysia (Malaysian Ministry ofHealth)
MA = Medical Assistant (now known as Assistant Medical Officer)
MCH = Maternal and Child Health Clinic
MO = Medical Officer
xviii
------------ --
= Ministry of Health
= Model of Personal Computer Utilization
= Personal Computer
= Pejabat Kesihatan Bahagian (Divisional Health Office)
= Person Management System
= Senior Assistant Medical Officer
= Social Cognitive Theory
= Standard Deviation
= Structural Equation Modeling
= Sasaran Kerja Tahunan
= Technology Acceptance Model
= Extended Technology Acceptance Model
= Theory of Planned Behaviour
1PC = Teleprimary Care
TRA = Theory of Reasoned Action
DNlMAS = Universiti Malaysia Sarawak
UTAUT = Unified Theory of Acceptance and Use ofTechnology
= Very Small Aperture Terminal
WHO = World Health Organization
XIX
CHAPTERl
INTRODUCTION LITERATURE REVIEW
The use of Internet for e-health or medical infonnatics and related technologies to
deliver or improve health services and infonnation has been an emerging field in healthcare
DIII18gement worldwide (Eysenbach 2001) Within this field the World Health Organisation
(WHO) has identified Telemedicine as a possible application to strengthen health systems and
improve the quality of health care delivery in rural areas (WHO 2010) In Malaysia health
management infonnation system such as Teleprimary Care (TPC) were also expected to
show great potential in providing substantial benefits to healthcare providers healthcare
organizations and patients These electronic systems were believed to be able to facilitate the
workflow in healthcare organization improve quality of patient care and enhance patient
safety in management (Brinfo nd)
Teleprimary Care was launched in Malaysia in the year 2004 Till date there are 88
clinics and seven hospitals equipped with TPC system throughout Malaysia (BPKK 2012
BomeoPost Online 2013) TPC system has been designed to provide many functions to help
bealth managers in delivering more efficient health services and having easier monitoring of
the health status of the community However until now TPC has functioned mainly as an
electronic medical record system for storage and retrieving of patients medical data The use
ofTPC for other functions has been limited
Before the introduction of TPC system patients clinical records were documented in
writing and were subjected to errors The conventional system involved tedious paperwork
which required great amount of resources in tenns of time money and manpower both in
ilCOlrdiIll2 and data extraction Many of these surveillance data collected were left aside and
used to its fullest due to the lengthy procedures required to extract information from piles
files and documents Teleprimary Care system was then created with the hope to improve
health information system by providing more timely and accurate information to help
iWMlnvp health status monitoring With TPC system the communication between healthcare
IIImJrittft in rural areas with specialists in hospitals will also be improved as sharing of
PfOlma1tion can be done more effectively
Introduction of TPC in the healthcare system would also mean a major change from
current paper-based documentation system to a fully computerized management system
to this major change should be well expected and anticipated during its
The greatest challenge remains having all the eligible TPC users to
iftMmiddotIVrAt TPC into their routine daily work Despite the great potential in improving the
_Iitv of health care service delivery the positive impact from TPC will only be discerned if
users access and utilize the functions of TPC regularly Therefore understanding of the
1acceDtanCe of TPC among the users and factors affecting their acceptance are crucial for the
~Jaonirlg of a more efficient implementation of TPC in the country Unfortunately the
I tnl[)wlledle and empirical research on the adoption ofTPC currently is still limited in general
The purpose of this study was to gather data regarding usage of TPC system among
the users The data would then be used to explore the socio-demographic characteristics of the
1I8etS their acceptances as well as the factors which may predict their utilization of the TPC
system The acceptance of users towards TPC was assessed through their intentions to use the
system The study also intended to set a platform for the TPC users to voice their perceptions
barriers faced when using the system and to gather the users opinions and priorities in
the current TPC implementation All these information are important in healthcare
2
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3
ABSTRAK
Penerimaan dan Penggunaan Teleprimary Care di Sarawak
Teleprimary Care ([PC) merupakan satu sistem elektronik yang digunakan dalam
bidang kesihatan untuk memudahkan kelancaran kerja dalam organisasi kesihatan serta
meningkatkan kualiti perawatan pesakit Sistem terse but telah diperkenalkan pada tahun
2004 dan kini dilaksanakan di 31 buah fasiliti kesihatan di seluruh Sarawak termasuk dua
buah hospital dan enam buah pejabat kesihatan bahagian Setakat ini tiada penilaian
menyeluruh dilakukan pada sistem TPC terutamanya dari segi peninjauan penerimaan
pengguna terhadap sistem berkenaan Objektif kajian ini adalah untuk menganalisa ciri-ciri
demografi pengguna TPC di Sarawak penerimaan dan pandangan mereka terhadap sistem
berkenaan cabaran dan halangan yang dihadapi serta komen pengguna dalam
penambahbaikan sistem TPC Kajian ini merupakan kajian rentas silang yang melibatkan
teknik pengumpulan data secara kuantitatif ditambahkan dengan data kualitatif bagi
meningkatkan pemahaman perasaan sebenar para pengguna system di lapangan Seramai
516 orang pengguna TPC dari seluruh Sarawak telah disoalselidik menggunakan borang
soalselidik isian sendiri dan 44 orang pengguna beserta penyelaras TPC telah ditemubual
Secara keseluruhannya penerimaan pengguna terhadap sistem TPC adalah baik Analisa
menunjukkan bahawa relevansi kerja tanggapan faedah keupayaan demonstrasi hasil serta
norma subjektif merupakan faktor-faktor yang mempengaruhi penerimaan pengguna
terhadap sistem TPC Walaubagaimanapun tanggapan kesenangan penggunaan motivasi
serta kesukarelaan bukan faktor-faktor yang utama dalam meramal niat kepenggunaan TPC
di kalangan pengguna Dua per lima pengguna lebih menggemari sistem TPC manakala
28 lebih cenderung kepada sistem kertas yang konvensional bagi tujuan dokumentasi
iii
Pengguna yang cenderung kepada TPC merupakan mereka daripada kalangan yang bekerja
di hospital bekerja sebagai pegawai pendaftaran serta pengguna yang telah menggunakan
sistem TPC melebihi tiga tahun Rintangan yang paling kerap dihadapi oleh pengguna TPC
adalah masalah berkaitan teknikal diikuti dengan masalah pangkalan data gangguan dalam
pelaksanaan kerja yang berkualiti serta kekurangan latihan dalam bidang ini Berdasarkan
kepada perspeksi pengguna penambahbaikan rangkaian server TPC serta penyediaan
latihan bagi semua pengguna TPC adalah antara strategi yang patut diberi keutamaan dalam
meningkatkan penggunaan TPC Penyelaras TPC peringkat klinik serta Bahagian turut
memainkan peranan yang penting dalam implementasi TPC Namun usaha mereka dalam
hal ini kerap terse kat dari segi desakan masa dan kuasa pengawalan kewangan TPC
Kesimpulannya keputusan yang diperolehi melalui kajian ini menegaskan keperluan bagi
perancangan strategi masa hadapan untuk berfokus kepada meningkatkan fungsi-fungsi TPC
dalam melancarkan aliran kerja para pengguna Penyelaras dan Pegawai Kesihatan
Bahagian sepatutnya mempunyai minda yang positij terhadap TPC dan menggalakkan para
pengguna TPC di bawah penguasaannya supaya meningkatkan penggunaan TPC Masalah
teknikal berkenaan TPC juga patut ditanggani dengan segera dan latihan penggunaan TPC
wajar diberikan kepada semua pengguna TPC supaya implementasi TPC dapat ditingkatkan
lV
DECLARATION
No portion of the work referred to in this dissertation has been submitted in support of an
application for another degree of qualification of this or any other university or institution of
higher learning
Signature
Name HOAICHIA
Date 27 MAY 2013
v
ACKNOWLEDGEMENTS
It is my prestigious privilege to express my deepest gratitude and appreciation to both
my research supervisors Professor Dr Mohamad Raili bin Suhaili and Dato Dr Andrew Kiyu
Dawie Usop for their enthusiasm constant guidance and valuable suggestions from the
beginning to the end of my research I am truly grateful for their sincere effort and greatest
patience in giving clear guidance and intellectual direction to my dissertation Their
continuous supports have been the greatest cue for me to embark on this research I can never
thank Prof Raili enough for his assistance and effort in making my data collection process for
this research a smooth sail
This dissertation would not have completed in time without the dedication and
enthusiasm given by my lecturer in Biostatistics Associate Professor Dr Md Mizanur
Rahman His continuous inspiration constructive criticism and valuable directions all through
the course had guided me throughout the dissertation preparation period
I would also like to express my deepest thanks to the Dean of Faculty of Medicine and
Health Sciences UNIMAS Professor Dr Ahmad Hata Rasit and the Deputy Dean
(postgraduate and Research) Professor Dr Lela Suut for their kindest supports in this
programme and our research study My special thanks also goes to my lecturer and fonner
Dean Tan Sri Datu Prof Dr Hj Mohd Taha bin Arif for his continuous support and guidance
throughout my study
I can go no further without expressing my appreciation and gratitude to Dr Flora Ong
whom had provided valuable guidance and advice on this research based on her enriching
experience in Teleprimary Care of Sarawak
VI
I would like to acknowledge the State Health Director of Sarawak Dato Dr Zulkifli
bin Jantan for his kind consideration and approval on my proposal in order for me to proceed
with my research study This study would not have gone this far without the support from all
the Divisional Health Officers involved in the research Dr Kamarudin bin Lajim Dr Julaidah
bt Sharip Dr Muhamad Rais Abdullah Dr Osman Bin Rafaie Dr Hasrina Hassan and Dr
Ngian Hie Ung and former Directors of Sibu Hospital Dr Chin Zin Hing and Dr Audrey
Gapoh to agree to this research in their respective health premises and offer of assistance in
transportation and accommodation
I would like to give special acknowledgement to all the staff of Telehealth Unit of
Sarawak State Health Department and Sibu Hospital especially Dr Eunice Melissa Joseph Dr
Diana Jawa SAMO Mr Bobby Hudson Didet and AMO Mr Alexander Ringga for their time
and effort in extracting the relevant data from the database and sharing of invaluable
comments and suggestions for this research Without their kind assistance and cooperation
this study could not be accomplished
A word of appreciation also goes to Mdm Chin Siew Kiaw Dr Lai Boon Foo and Dr
Nolan Teo who have given my all the support and help during the data collection I would
also like to extent my deepest appreciation to all nursing sisters matrons and assistant
medical officers whom were hold in-charge of TPC in every divisions and clinics for their
contributions and support at various stages of the study None ever hesitate to assist whenever
required to do so
My very special thanks to the Head of Department of Community Medicine and
Public Health Department UNIMAS Associate Professor Dr Kamaluddin Bakar Associate
Professor Dr Ong Puay Hoon and all my academic advisors and lecturers for their
continuous efforts of assistance valuable advice and encouragement throughout my study
vii
process and dissertation writing I will never forget the enthusiasm and kindness they have
given to me
My sincere gratitude also goes to my dearest course-mates Dr Sharifah Norashikin
binti Wan Ahmad and Dr Shahnur Begum and all other DrPH candidates of UNIMAS for
their valuable supports and helpfulness throughout the course All your opinions and
suggestions had contributed to the success of this dissertation I would like to specially
mention my appreciation for Dr Sharifah Norashikin for being such a wonderful companion
of mine when travelling throughout Sarawak for data collection
I am particularly indebted to my loving parents and family members for their love
support inspiration encouragement and good understanding of me throughout this study
period which enabled me to reach the study goal
I would like to acknowledge all of the other people who have knowingly or
unknowingly contributed towards whatever merits this research and dissertation possess I
am regretful if am not able to recall everyone as I am certainly indebted to them
Last but by no means least lowe a great debt of gratitude to all the TPC users in
Sarawak who have agreed to spare their precious time off from their working hours to
participate in this study This study will never come to a success without their willingness to
share their thoughts on TPC
Thank you very much to all
HoAiChia
viii
Pusat Khidmat Maklumat Akademik UNlVERSm MALAYSIA SARAWAK
TABLE OF CONTENTS
page
ABSTRACT i
LIST OF ABBREVIATIONS xviii
ABSTRAK iii
DECLARATION v
ACKNOWLEDGEMENTS vi
TABLE OF CONTENTS ix
LIST OF TABLES xiv
LIST OF FIGURES xvi
CHAPTER 1 INTRODUCTION LITERATURE REVIEW
11 Introduction 1
111 Teleprimary Care in Malaysia 3
12 Problem Statement 5
13 Research Questions 7
14 Research Objectives 8
141 General Objective 8
142 Specific Objectives 8
15 Research Hypotheses 9
16 Significance of the Study 10
17 Literature Review 12
171 Health Delivery System in Sarawak 12
172 The Future of Health Delivery System in Malaysia 13
ix
173 Primary Healthcare Infonnatics in Malaysia 16
174 Teleprimary Care in Sarawak 17
175 Computer Literacy among Health Staff 28
176 Implementation oflnfonnation Technology Application in Healthcare 29
177 Theories explaining Acceptance of Technology 32
178 Summary44
18 Research Framework 47
CHAPTER 2 METHODOLOGY
21 Research Design 50
22 Study Population and Setting 50
221 Population and Setting 50
222 Inclusion and Exclusion Criteria 51
23 Sample Size Calculation 54
231 Sample Size for Quantitative Study 54
232 Sample Size for Qualitative Study 55
24 Sampling Procedure 56
241 Sampling Procedure for Quantitative Study 56
242 Sampling Procedure for Qualitative Study 58
25 Instrument Development 60
251 Study Instrument 61
252 Variables 63
253 Operational Definitions 64
26 Data Collection Procedure 67
x
261 Document Analysis 67
262 Data Collection Procedure for Quantitative Phase 67
263 Data Collection Procedure for Qualitative Phase 68
27 Validity and Reliability Testing 69
271 Validation ofQuestiOlUlaire 70
272 Pilot Study for Quantitative Study 70
273 Pretesting for Qualitative Study 72
28 Data Analysis 73
281 Document Analysis on TPC Utilization 73
282 Quantitative Data Analysis 74
283 Qualitative Data Analysis 74
29 Ethical Consideration 75
210 Duration of Study 77
211 Limitations of Study 78
CHAPTER 3 RESULTS
31 Introduction80
32 Document Analysis 81
321 Utilization of Teleprimary Care according to Divisions and Centres 81
322 Utilization according to Category of Post (Jan-Jun 2012) 82
323 Summary from Document Analysis 84
33 Quantitative Analysis 85
331 Socio-Demographic Characteristics 85
332 Information related to TPC usage 89
Xl
333 Factors affecting Computer Literacy 95
334 User Acceptance ofTPC 102
335 Perceptions of Users on TPC usage 120
336 Challenges and Barriers Faced by TPC Users 129
337 Comments and Recommendations by TPC Users 131
338 Summary from Quantitative Analysis 132
34 Qualitative Analysis 133
341 Acceptance ofTPC Usage 134
342 Perceptions of Users on TPC usage 147
343 Challenges and Barriers Faced by Users 155
344 Comments and Recommendations Users Perspectives 161
345 Supervisors Perceptions of Teleprimary Care 164
346 Summary from Qualitative Analysis 171
CHAPTER 4 DISCUSSION
41 Discussion 172
42 Management Implications 189
CHAPTER 5 SUMMARY AND CONCLUSIONS
51 Summary and Conclusion 191
52 Recommendations 194
521 Recommendations for Future Study 194
522 Recommendations for Future TPC Implementation Strategies 194
xii
BIBLIOGRAPHy 199
APPENDICES
APPENDIX A - List of Teleprimary Care centres in Sarawak 216
APPENDIX B1 - Questionnaire (Quantitative Study) English Version
APPENDIX Gl - Percentage ofTPC usage based on Visit Records from TPC Database and
217
APPENDIX B2 - Questionnaire (Quantitative Study) Malay Version 223
APPENDIX C1 - Informed Consent Form (English Version) 230
APPENDIX C2 - Informed Consent Form (Malay Version) 233
APPENDIX D1 - Researchers Information Form (English Version) 237
APPENDIX D2 - Researchers Information Form (Malay Version) 239
APPENDIX E1 - Interview Guide For Clinic TPC Users 242
APPENDIX E2 - Interview Guide For Clinic Supervisors 245
APPENDIX E3 - Interview Guide For Divisional Supervisors 247
APPENDIX Fl - Approval Letter from MREC 249
APPENDIX F2 - Approval Letter from CRC 250
APPENDIX F3 - Approval Letter from Ethics Committee UNIMAS 251
Workload from HMIS January to June 2012 in Sarawak 252
APPENDIX G2 - Original Research Model Unstandardized Parameter Estimates 254
APPENDIX G3 - Original Model Standardized Parameter Estimates 255
APPENDIX G4 - Modified Model Unstandardized Parameter Estimation 256
APPENDIX G5 - Modified Model Standardized Parameter Estimates 257
APPENDIXH - Research Schedule (Gantt Chart) 258
XIII
LIST OF TABLES
page
Table 1 Internal Consistency for each Factor in Questionnaire prior to Modification 71
Table 2 Modules in Teleprimary Care selected for Different Categories of Users
Table 3 Utilization of Teleprimary Care System by Users according to Different Category
74
ofPost from January to June 2012 84
Table 4 Distribution of the Respondents by Socio-demographic Characteristics (n = 516) 88
91
Table 5 Distribution of the Respondents by Information related to Teleprimary Care usage
Table 6 Distribution of the Respondents by Computer Literacy (n=516) 92
Table 7 Percentage Distribution ofTechnical Supervisory Visits by Teleprimary Care Team
(n=516) 94
Table 8 Percentage Distribution of Administrative Supervisory Visits (n=516) 94
Table 9 Factors affecting Computer Literacy Bivariate Analysis (n=516) 98
Table 10 Faotors influencing Computer Literacy among TPC users Multinomial Logistic
Regression Analysis 101
106
Table II Distribution of Respondents by Factors affecting Acceptance to use TPC (n=516)
Table 12 Distribution of Respondents by Intention to use TPC (n=516) 108
Table 13 Pearson Correlations between Predictor and Dependent Variables (n=516) 110
Table 14 Means and Standard Deviations for Predictor Variables and Dependent Variable
for Model Testing (n=516) 112
Table 15 Factors affecting Intention to Use TPC Standard Multiple Linear Regression
Analysis (n=442) 112
xiv
Analysis of Overall Model Goodness-of-Fit for Original Research Model 114
Analysis of Overall Model Goodness-of-Fit for Modified ModeL 117
Distribution of the Respondents by Perception on TPC Usage 122
Factors affecting Preferred Method of Documentation Bivariate Analysis (n=350)
125
Factors affecting Preference between Teleprimary Care and Current Paper-based
System Binary Logistic Regression 128
Challenges and Barriers faced by TPC Users (n=516) 130
Comments to improve TPC Usage (n=516) l32
xv
LIST OF FIGURES
page
Figure 1 Network Architecture of Teleprimary Care prior to Migration ofNetwork (Adopted
from the presentation slide by Fauziah 2010) 22
Figure 2 Database Architecture of Teleprimary Care (Adopted from the presentation slide by
Figure 11 Research Framework on Acceptance of Teleprimary Care and Factors affecting it49
Figure 16 Percentage ofTPC usage based on Visit Records from TPC Database and
Rebi amp Pairan 2012) 22
Figure 3 Distributed Multi-Tier Architecture used in Teleprimary Care (Raili et al 2006) 24
Figure 4 Theory of Reasoned Action (Fishbein and Ajzen 1975) 34
Figure 5 Reciprocal Determinism in Social Cognitive Theory (Compeau amp Higgins 1995) 35
Figure 6 Theory of Planned Behaviour (Ajzen 1991 ) 36
Figure 7 Technology Acceptance Model (Davis 1989) 38
Figure 8 Extended Technology Acceptance Model (Venkatesh and Davis 2000) 39
Figure 9 The Model of PC Utilization (Thompson et al 1991) 41
Figure 10 Unified Theory of Acceptance and Use of Technology (Venkatesh et al 2003) 45
Figure 12 Sampling Frame for Quantitative Data Collection 52
Figure 13 Sampling Method for Quantitative Phase of Study 57
Figure 14 Sampling Method for Qualitative Phase of Study 60
Figure 15 Data Collection Procedure for 9uantitative Phase of Study 69
Workload from HMIS January to June 2012 in Sarawak 82
Figure 17 Computer Literacy of Respondents (n=516) 92
Figure 18 Framework on Utilization of Teleprimary Care (Original Model) 116
xvi
19 Framework on Utilization of Teleprimary Care (Original Model) (Standardized
estimates) 116
igure 20 Framework on Utilization of Teleprimary Care (Modified Model) (Unstandardized
Figure 21 Framework on Utilization of Teleprimary Care (Modified Model) (Standardized
estimates) 119
estimates) 119
Figure 22 Any Challenges or Barriers faced(n=516) 130
xvii
LIST OF ABBREVIATIONS
ACG = Adjusted Clinical Group
AMO = Assistant Medical Officer
BPKK = Bahagian Pembangunan Kesihatan Keluarga (FHDD)
CI = Confidence Interval
df = Degree of Freedom
DHO = Divisional Health Office
FHDD = Family Health Development Division
ICT = Information and Communication Technology
lOT = Innovation Diffusion Theory
IT = Information Technology
JM = Jururawat Masyarakat (Community Nurse)
JPL = Jabatan Pesaldt Luar (Out-patient Department)
Lab = Laboratory
LAN = Local Area Network
KK = Klinik Kesihatan (Health Clinic)
KKIA = Klinik Kesihatan Ibu dan Anak (Maternal and Child Health Clinic)
KKM = Kementerian Kesihatan Malaysia (Malaysian Ministry ofHealth)
MA = Medical Assistant (now known as Assistant Medical Officer)
MCH = Maternal and Child Health Clinic
MO = Medical Officer
xviii
------------ --
= Ministry of Health
= Model of Personal Computer Utilization
= Personal Computer
= Pejabat Kesihatan Bahagian (Divisional Health Office)
= Person Management System
= Senior Assistant Medical Officer
= Social Cognitive Theory
= Standard Deviation
= Structural Equation Modeling
= Sasaran Kerja Tahunan
= Technology Acceptance Model
= Extended Technology Acceptance Model
= Theory of Planned Behaviour
1PC = Teleprimary Care
TRA = Theory of Reasoned Action
DNlMAS = Universiti Malaysia Sarawak
UTAUT = Unified Theory of Acceptance and Use ofTechnology
= Very Small Aperture Terminal
WHO = World Health Organization
XIX
CHAPTERl
INTRODUCTION LITERATURE REVIEW
The use of Internet for e-health or medical infonnatics and related technologies to
deliver or improve health services and infonnation has been an emerging field in healthcare
DIII18gement worldwide (Eysenbach 2001) Within this field the World Health Organisation
(WHO) has identified Telemedicine as a possible application to strengthen health systems and
improve the quality of health care delivery in rural areas (WHO 2010) In Malaysia health
management infonnation system such as Teleprimary Care (TPC) were also expected to
show great potential in providing substantial benefits to healthcare providers healthcare
organizations and patients These electronic systems were believed to be able to facilitate the
workflow in healthcare organization improve quality of patient care and enhance patient
safety in management (Brinfo nd)
Teleprimary Care was launched in Malaysia in the year 2004 Till date there are 88
clinics and seven hospitals equipped with TPC system throughout Malaysia (BPKK 2012
BomeoPost Online 2013) TPC system has been designed to provide many functions to help
bealth managers in delivering more efficient health services and having easier monitoring of
the health status of the community However until now TPC has functioned mainly as an
electronic medical record system for storage and retrieving of patients medical data The use
ofTPC for other functions has been limited
Before the introduction of TPC system patients clinical records were documented in
writing and were subjected to errors The conventional system involved tedious paperwork
which required great amount of resources in tenns of time money and manpower both in
ilCOlrdiIll2 and data extraction Many of these surveillance data collected were left aside and
used to its fullest due to the lengthy procedures required to extract information from piles
files and documents Teleprimary Care system was then created with the hope to improve
health information system by providing more timely and accurate information to help
iWMlnvp health status monitoring With TPC system the communication between healthcare
IIImJrittft in rural areas with specialists in hospitals will also be improved as sharing of
PfOlma1tion can be done more effectively
Introduction of TPC in the healthcare system would also mean a major change from
current paper-based documentation system to a fully computerized management system
to this major change should be well expected and anticipated during its
The greatest challenge remains having all the eligible TPC users to
iftMmiddotIVrAt TPC into their routine daily work Despite the great potential in improving the
_Iitv of health care service delivery the positive impact from TPC will only be discerned if
users access and utilize the functions of TPC regularly Therefore understanding of the
1acceDtanCe of TPC among the users and factors affecting their acceptance are crucial for the
~Jaonirlg of a more efficient implementation of TPC in the country Unfortunately the
I tnl[)wlledle and empirical research on the adoption ofTPC currently is still limited in general
The purpose of this study was to gather data regarding usage of TPC system among
the users The data would then be used to explore the socio-demographic characteristics of the
1I8etS their acceptances as well as the factors which may predict their utilization of the TPC
system The acceptance of users towards TPC was assessed through their intentions to use the
system The study also intended to set a platform for the TPC users to voice their perceptions
barriers faced when using the system and to gather the users opinions and priorities in
the current TPC implementation All these information are important in healthcare
2
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3
Pengguna yang cenderung kepada TPC merupakan mereka daripada kalangan yang bekerja
di hospital bekerja sebagai pegawai pendaftaran serta pengguna yang telah menggunakan
sistem TPC melebihi tiga tahun Rintangan yang paling kerap dihadapi oleh pengguna TPC
adalah masalah berkaitan teknikal diikuti dengan masalah pangkalan data gangguan dalam
pelaksanaan kerja yang berkualiti serta kekurangan latihan dalam bidang ini Berdasarkan
kepada perspeksi pengguna penambahbaikan rangkaian server TPC serta penyediaan
latihan bagi semua pengguna TPC adalah antara strategi yang patut diberi keutamaan dalam
meningkatkan penggunaan TPC Penyelaras TPC peringkat klinik serta Bahagian turut
memainkan peranan yang penting dalam implementasi TPC Namun usaha mereka dalam
hal ini kerap terse kat dari segi desakan masa dan kuasa pengawalan kewangan TPC
Kesimpulannya keputusan yang diperolehi melalui kajian ini menegaskan keperluan bagi
perancangan strategi masa hadapan untuk berfokus kepada meningkatkan fungsi-fungsi TPC
dalam melancarkan aliran kerja para pengguna Penyelaras dan Pegawai Kesihatan
Bahagian sepatutnya mempunyai minda yang positij terhadap TPC dan menggalakkan para
pengguna TPC di bawah penguasaannya supaya meningkatkan penggunaan TPC Masalah
teknikal berkenaan TPC juga patut ditanggani dengan segera dan latihan penggunaan TPC
wajar diberikan kepada semua pengguna TPC supaya implementasi TPC dapat ditingkatkan
lV
DECLARATION
No portion of the work referred to in this dissertation has been submitted in support of an
application for another degree of qualification of this or any other university or institution of
higher learning
Signature
Name HOAICHIA
Date 27 MAY 2013
v
ACKNOWLEDGEMENTS
It is my prestigious privilege to express my deepest gratitude and appreciation to both
my research supervisors Professor Dr Mohamad Raili bin Suhaili and Dato Dr Andrew Kiyu
Dawie Usop for their enthusiasm constant guidance and valuable suggestions from the
beginning to the end of my research I am truly grateful for their sincere effort and greatest
patience in giving clear guidance and intellectual direction to my dissertation Their
continuous supports have been the greatest cue for me to embark on this research I can never
thank Prof Raili enough for his assistance and effort in making my data collection process for
this research a smooth sail
This dissertation would not have completed in time without the dedication and
enthusiasm given by my lecturer in Biostatistics Associate Professor Dr Md Mizanur
Rahman His continuous inspiration constructive criticism and valuable directions all through
the course had guided me throughout the dissertation preparation period
I would also like to express my deepest thanks to the Dean of Faculty of Medicine and
Health Sciences UNIMAS Professor Dr Ahmad Hata Rasit and the Deputy Dean
(postgraduate and Research) Professor Dr Lela Suut for their kindest supports in this
programme and our research study My special thanks also goes to my lecturer and fonner
Dean Tan Sri Datu Prof Dr Hj Mohd Taha bin Arif for his continuous support and guidance
throughout my study
I can go no further without expressing my appreciation and gratitude to Dr Flora Ong
whom had provided valuable guidance and advice on this research based on her enriching
experience in Teleprimary Care of Sarawak
VI
I would like to acknowledge the State Health Director of Sarawak Dato Dr Zulkifli
bin Jantan for his kind consideration and approval on my proposal in order for me to proceed
with my research study This study would not have gone this far without the support from all
the Divisional Health Officers involved in the research Dr Kamarudin bin Lajim Dr Julaidah
bt Sharip Dr Muhamad Rais Abdullah Dr Osman Bin Rafaie Dr Hasrina Hassan and Dr
Ngian Hie Ung and former Directors of Sibu Hospital Dr Chin Zin Hing and Dr Audrey
Gapoh to agree to this research in their respective health premises and offer of assistance in
transportation and accommodation
I would like to give special acknowledgement to all the staff of Telehealth Unit of
Sarawak State Health Department and Sibu Hospital especially Dr Eunice Melissa Joseph Dr
Diana Jawa SAMO Mr Bobby Hudson Didet and AMO Mr Alexander Ringga for their time
and effort in extracting the relevant data from the database and sharing of invaluable
comments and suggestions for this research Without their kind assistance and cooperation
this study could not be accomplished
A word of appreciation also goes to Mdm Chin Siew Kiaw Dr Lai Boon Foo and Dr
Nolan Teo who have given my all the support and help during the data collection I would
also like to extent my deepest appreciation to all nursing sisters matrons and assistant
medical officers whom were hold in-charge of TPC in every divisions and clinics for their
contributions and support at various stages of the study None ever hesitate to assist whenever
required to do so
My very special thanks to the Head of Department of Community Medicine and
Public Health Department UNIMAS Associate Professor Dr Kamaluddin Bakar Associate
Professor Dr Ong Puay Hoon and all my academic advisors and lecturers for their
continuous efforts of assistance valuable advice and encouragement throughout my study
vii
process and dissertation writing I will never forget the enthusiasm and kindness they have
given to me
My sincere gratitude also goes to my dearest course-mates Dr Sharifah Norashikin
binti Wan Ahmad and Dr Shahnur Begum and all other DrPH candidates of UNIMAS for
their valuable supports and helpfulness throughout the course All your opinions and
suggestions had contributed to the success of this dissertation I would like to specially
mention my appreciation for Dr Sharifah Norashikin for being such a wonderful companion
of mine when travelling throughout Sarawak for data collection
I am particularly indebted to my loving parents and family members for their love
support inspiration encouragement and good understanding of me throughout this study
period which enabled me to reach the study goal
I would like to acknowledge all of the other people who have knowingly or
unknowingly contributed towards whatever merits this research and dissertation possess I
am regretful if am not able to recall everyone as I am certainly indebted to them
Last but by no means least lowe a great debt of gratitude to all the TPC users in
Sarawak who have agreed to spare their precious time off from their working hours to
participate in this study This study will never come to a success without their willingness to
share their thoughts on TPC
Thank you very much to all
HoAiChia
viii
Pusat Khidmat Maklumat Akademik UNlVERSm MALAYSIA SARAWAK
TABLE OF CONTENTS
page
ABSTRACT i
LIST OF ABBREVIATIONS xviii
ABSTRAK iii
DECLARATION v
ACKNOWLEDGEMENTS vi
TABLE OF CONTENTS ix
LIST OF TABLES xiv
LIST OF FIGURES xvi
CHAPTER 1 INTRODUCTION LITERATURE REVIEW
11 Introduction 1
111 Teleprimary Care in Malaysia 3
12 Problem Statement 5
13 Research Questions 7
14 Research Objectives 8
141 General Objective 8
142 Specific Objectives 8
15 Research Hypotheses 9
16 Significance of the Study 10
17 Literature Review 12
171 Health Delivery System in Sarawak 12
172 The Future of Health Delivery System in Malaysia 13
ix
173 Primary Healthcare Infonnatics in Malaysia 16
174 Teleprimary Care in Sarawak 17
175 Computer Literacy among Health Staff 28
176 Implementation oflnfonnation Technology Application in Healthcare 29
177 Theories explaining Acceptance of Technology 32
178 Summary44
18 Research Framework 47
CHAPTER 2 METHODOLOGY
21 Research Design 50
22 Study Population and Setting 50
221 Population and Setting 50
222 Inclusion and Exclusion Criteria 51
23 Sample Size Calculation 54
231 Sample Size for Quantitative Study 54
232 Sample Size for Qualitative Study 55
24 Sampling Procedure 56
241 Sampling Procedure for Quantitative Study 56
242 Sampling Procedure for Qualitative Study 58
25 Instrument Development 60
251 Study Instrument 61
252 Variables 63
253 Operational Definitions 64
26 Data Collection Procedure 67
x
261 Document Analysis 67
262 Data Collection Procedure for Quantitative Phase 67
263 Data Collection Procedure for Qualitative Phase 68
27 Validity and Reliability Testing 69
271 Validation ofQuestiOlUlaire 70
272 Pilot Study for Quantitative Study 70
273 Pretesting for Qualitative Study 72
28 Data Analysis 73
281 Document Analysis on TPC Utilization 73
282 Quantitative Data Analysis 74
283 Qualitative Data Analysis 74
29 Ethical Consideration 75
210 Duration of Study 77
211 Limitations of Study 78
CHAPTER 3 RESULTS
31 Introduction80
32 Document Analysis 81
321 Utilization of Teleprimary Care according to Divisions and Centres 81
322 Utilization according to Category of Post (Jan-Jun 2012) 82
323 Summary from Document Analysis 84
33 Quantitative Analysis 85
331 Socio-Demographic Characteristics 85
332 Information related to TPC usage 89
Xl
333 Factors affecting Computer Literacy 95
334 User Acceptance ofTPC 102
335 Perceptions of Users on TPC usage 120
336 Challenges and Barriers Faced by TPC Users 129
337 Comments and Recommendations by TPC Users 131
338 Summary from Quantitative Analysis 132
34 Qualitative Analysis 133
341 Acceptance ofTPC Usage 134
342 Perceptions of Users on TPC usage 147
343 Challenges and Barriers Faced by Users 155
344 Comments and Recommendations Users Perspectives 161
345 Supervisors Perceptions of Teleprimary Care 164
346 Summary from Qualitative Analysis 171
CHAPTER 4 DISCUSSION
41 Discussion 172
42 Management Implications 189
CHAPTER 5 SUMMARY AND CONCLUSIONS
51 Summary and Conclusion 191
52 Recommendations 194
521 Recommendations for Future Study 194
522 Recommendations for Future TPC Implementation Strategies 194
xii
BIBLIOGRAPHy 199
APPENDICES
APPENDIX A - List of Teleprimary Care centres in Sarawak 216
APPENDIX B1 - Questionnaire (Quantitative Study) English Version
APPENDIX Gl - Percentage ofTPC usage based on Visit Records from TPC Database and
217
APPENDIX B2 - Questionnaire (Quantitative Study) Malay Version 223
APPENDIX C1 - Informed Consent Form (English Version) 230
APPENDIX C2 - Informed Consent Form (Malay Version) 233
APPENDIX D1 - Researchers Information Form (English Version) 237
APPENDIX D2 - Researchers Information Form (Malay Version) 239
APPENDIX E1 - Interview Guide For Clinic TPC Users 242
APPENDIX E2 - Interview Guide For Clinic Supervisors 245
APPENDIX E3 - Interview Guide For Divisional Supervisors 247
APPENDIX Fl - Approval Letter from MREC 249
APPENDIX F2 - Approval Letter from CRC 250
APPENDIX F3 - Approval Letter from Ethics Committee UNIMAS 251
Workload from HMIS January to June 2012 in Sarawak 252
APPENDIX G2 - Original Research Model Unstandardized Parameter Estimates 254
APPENDIX G3 - Original Model Standardized Parameter Estimates 255
APPENDIX G4 - Modified Model Unstandardized Parameter Estimation 256
APPENDIX G5 - Modified Model Standardized Parameter Estimates 257
APPENDIXH - Research Schedule (Gantt Chart) 258
XIII
LIST OF TABLES
page
Table 1 Internal Consistency for each Factor in Questionnaire prior to Modification 71
Table 2 Modules in Teleprimary Care selected for Different Categories of Users
Table 3 Utilization of Teleprimary Care System by Users according to Different Category
74
ofPost from January to June 2012 84
Table 4 Distribution of the Respondents by Socio-demographic Characteristics (n = 516) 88
91
Table 5 Distribution of the Respondents by Information related to Teleprimary Care usage
Table 6 Distribution of the Respondents by Computer Literacy (n=516) 92
Table 7 Percentage Distribution ofTechnical Supervisory Visits by Teleprimary Care Team
(n=516) 94
Table 8 Percentage Distribution of Administrative Supervisory Visits (n=516) 94
Table 9 Factors affecting Computer Literacy Bivariate Analysis (n=516) 98
Table 10 Faotors influencing Computer Literacy among TPC users Multinomial Logistic
Regression Analysis 101
106
Table II Distribution of Respondents by Factors affecting Acceptance to use TPC (n=516)
Table 12 Distribution of Respondents by Intention to use TPC (n=516) 108
Table 13 Pearson Correlations between Predictor and Dependent Variables (n=516) 110
Table 14 Means and Standard Deviations for Predictor Variables and Dependent Variable
for Model Testing (n=516) 112
Table 15 Factors affecting Intention to Use TPC Standard Multiple Linear Regression
Analysis (n=442) 112
xiv
Analysis of Overall Model Goodness-of-Fit for Original Research Model 114
Analysis of Overall Model Goodness-of-Fit for Modified ModeL 117
Distribution of the Respondents by Perception on TPC Usage 122
Factors affecting Preferred Method of Documentation Bivariate Analysis (n=350)
125
Factors affecting Preference between Teleprimary Care and Current Paper-based
System Binary Logistic Regression 128
Challenges and Barriers faced by TPC Users (n=516) 130
Comments to improve TPC Usage (n=516) l32
xv
LIST OF FIGURES
page
Figure 1 Network Architecture of Teleprimary Care prior to Migration ofNetwork (Adopted
from the presentation slide by Fauziah 2010) 22
Figure 2 Database Architecture of Teleprimary Care (Adopted from the presentation slide by
Figure 11 Research Framework on Acceptance of Teleprimary Care and Factors affecting it49
Figure 16 Percentage ofTPC usage based on Visit Records from TPC Database and
Rebi amp Pairan 2012) 22
Figure 3 Distributed Multi-Tier Architecture used in Teleprimary Care (Raili et al 2006) 24
Figure 4 Theory of Reasoned Action (Fishbein and Ajzen 1975) 34
Figure 5 Reciprocal Determinism in Social Cognitive Theory (Compeau amp Higgins 1995) 35
Figure 6 Theory of Planned Behaviour (Ajzen 1991 ) 36
Figure 7 Technology Acceptance Model (Davis 1989) 38
Figure 8 Extended Technology Acceptance Model (Venkatesh and Davis 2000) 39
Figure 9 The Model of PC Utilization (Thompson et al 1991) 41
Figure 10 Unified Theory of Acceptance and Use of Technology (Venkatesh et al 2003) 45
Figure 12 Sampling Frame for Quantitative Data Collection 52
Figure 13 Sampling Method for Quantitative Phase of Study 57
Figure 14 Sampling Method for Qualitative Phase of Study 60
Figure 15 Data Collection Procedure for 9uantitative Phase of Study 69
Workload from HMIS January to June 2012 in Sarawak 82
Figure 17 Computer Literacy of Respondents (n=516) 92
Figure 18 Framework on Utilization of Teleprimary Care (Original Model) 116
xvi
19 Framework on Utilization of Teleprimary Care (Original Model) (Standardized
estimates) 116
igure 20 Framework on Utilization of Teleprimary Care (Modified Model) (Unstandardized
Figure 21 Framework on Utilization of Teleprimary Care (Modified Model) (Standardized
estimates) 119
estimates) 119
Figure 22 Any Challenges or Barriers faced(n=516) 130
xvii
LIST OF ABBREVIATIONS
ACG = Adjusted Clinical Group
AMO = Assistant Medical Officer
BPKK = Bahagian Pembangunan Kesihatan Keluarga (FHDD)
CI = Confidence Interval
df = Degree of Freedom
DHO = Divisional Health Office
FHDD = Family Health Development Division
ICT = Information and Communication Technology
lOT = Innovation Diffusion Theory
IT = Information Technology
JM = Jururawat Masyarakat (Community Nurse)
JPL = Jabatan Pesaldt Luar (Out-patient Department)
Lab = Laboratory
LAN = Local Area Network
KK = Klinik Kesihatan (Health Clinic)
KKIA = Klinik Kesihatan Ibu dan Anak (Maternal and Child Health Clinic)
KKM = Kementerian Kesihatan Malaysia (Malaysian Ministry ofHealth)
MA = Medical Assistant (now known as Assistant Medical Officer)
MCH = Maternal and Child Health Clinic
MO = Medical Officer
xviii
------------ --
= Ministry of Health
= Model of Personal Computer Utilization
= Personal Computer
= Pejabat Kesihatan Bahagian (Divisional Health Office)
= Person Management System
= Senior Assistant Medical Officer
= Social Cognitive Theory
= Standard Deviation
= Structural Equation Modeling
= Sasaran Kerja Tahunan
= Technology Acceptance Model
= Extended Technology Acceptance Model
= Theory of Planned Behaviour
1PC = Teleprimary Care
TRA = Theory of Reasoned Action
DNlMAS = Universiti Malaysia Sarawak
UTAUT = Unified Theory of Acceptance and Use ofTechnology
= Very Small Aperture Terminal
WHO = World Health Organization
XIX
CHAPTERl
INTRODUCTION LITERATURE REVIEW
The use of Internet for e-health or medical infonnatics and related technologies to
deliver or improve health services and infonnation has been an emerging field in healthcare
DIII18gement worldwide (Eysenbach 2001) Within this field the World Health Organisation
(WHO) has identified Telemedicine as a possible application to strengthen health systems and
improve the quality of health care delivery in rural areas (WHO 2010) In Malaysia health
management infonnation system such as Teleprimary Care (TPC) were also expected to
show great potential in providing substantial benefits to healthcare providers healthcare
organizations and patients These electronic systems were believed to be able to facilitate the
workflow in healthcare organization improve quality of patient care and enhance patient
safety in management (Brinfo nd)
Teleprimary Care was launched in Malaysia in the year 2004 Till date there are 88
clinics and seven hospitals equipped with TPC system throughout Malaysia (BPKK 2012
BomeoPost Online 2013) TPC system has been designed to provide many functions to help
bealth managers in delivering more efficient health services and having easier monitoring of
the health status of the community However until now TPC has functioned mainly as an
electronic medical record system for storage and retrieving of patients medical data The use
ofTPC for other functions has been limited
Before the introduction of TPC system patients clinical records were documented in
writing and were subjected to errors The conventional system involved tedious paperwork
which required great amount of resources in tenns of time money and manpower both in
ilCOlrdiIll2 and data extraction Many of these surveillance data collected were left aside and
used to its fullest due to the lengthy procedures required to extract information from piles
files and documents Teleprimary Care system was then created with the hope to improve
health information system by providing more timely and accurate information to help
iWMlnvp health status monitoring With TPC system the communication between healthcare
IIImJrittft in rural areas with specialists in hospitals will also be improved as sharing of
PfOlma1tion can be done more effectively
Introduction of TPC in the healthcare system would also mean a major change from
current paper-based documentation system to a fully computerized management system
to this major change should be well expected and anticipated during its
The greatest challenge remains having all the eligible TPC users to
iftMmiddotIVrAt TPC into their routine daily work Despite the great potential in improving the
_Iitv of health care service delivery the positive impact from TPC will only be discerned if
users access and utilize the functions of TPC regularly Therefore understanding of the
1acceDtanCe of TPC among the users and factors affecting their acceptance are crucial for the
~Jaonirlg of a more efficient implementation of TPC in the country Unfortunately the
I tnl[)wlledle and empirical research on the adoption ofTPC currently is still limited in general
The purpose of this study was to gather data regarding usage of TPC system among
the users The data would then be used to explore the socio-demographic characteristics of the
1I8etS their acceptances as well as the factors which may predict their utilization of the TPC
system The acceptance of users towards TPC was assessed through their intentions to use the
system The study also intended to set a platform for the TPC users to voice their perceptions
barriers faced when using the system and to gather the users opinions and priorities in
the current TPC implementation All these information are important in healthcare
2
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3
DECLARATION
No portion of the work referred to in this dissertation has been submitted in support of an
application for another degree of qualification of this or any other university or institution of
higher learning
Signature
Name HOAICHIA
Date 27 MAY 2013
v
ACKNOWLEDGEMENTS
It is my prestigious privilege to express my deepest gratitude and appreciation to both
my research supervisors Professor Dr Mohamad Raili bin Suhaili and Dato Dr Andrew Kiyu
Dawie Usop for their enthusiasm constant guidance and valuable suggestions from the
beginning to the end of my research I am truly grateful for their sincere effort and greatest
patience in giving clear guidance and intellectual direction to my dissertation Their
continuous supports have been the greatest cue for me to embark on this research I can never
thank Prof Raili enough for his assistance and effort in making my data collection process for
this research a smooth sail
This dissertation would not have completed in time without the dedication and
enthusiasm given by my lecturer in Biostatistics Associate Professor Dr Md Mizanur
Rahman His continuous inspiration constructive criticism and valuable directions all through
the course had guided me throughout the dissertation preparation period
I would also like to express my deepest thanks to the Dean of Faculty of Medicine and
Health Sciences UNIMAS Professor Dr Ahmad Hata Rasit and the Deputy Dean
(postgraduate and Research) Professor Dr Lela Suut for their kindest supports in this
programme and our research study My special thanks also goes to my lecturer and fonner
Dean Tan Sri Datu Prof Dr Hj Mohd Taha bin Arif for his continuous support and guidance
throughout my study
I can go no further without expressing my appreciation and gratitude to Dr Flora Ong
whom had provided valuable guidance and advice on this research based on her enriching
experience in Teleprimary Care of Sarawak
VI
I would like to acknowledge the State Health Director of Sarawak Dato Dr Zulkifli
bin Jantan for his kind consideration and approval on my proposal in order for me to proceed
with my research study This study would not have gone this far without the support from all
the Divisional Health Officers involved in the research Dr Kamarudin bin Lajim Dr Julaidah
bt Sharip Dr Muhamad Rais Abdullah Dr Osman Bin Rafaie Dr Hasrina Hassan and Dr
Ngian Hie Ung and former Directors of Sibu Hospital Dr Chin Zin Hing and Dr Audrey
Gapoh to agree to this research in their respective health premises and offer of assistance in
transportation and accommodation
I would like to give special acknowledgement to all the staff of Telehealth Unit of
Sarawak State Health Department and Sibu Hospital especially Dr Eunice Melissa Joseph Dr
Diana Jawa SAMO Mr Bobby Hudson Didet and AMO Mr Alexander Ringga for their time
and effort in extracting the relevant data from the database and sharing of invaluable
comments and suggestions for this research Without their kind assistance and cooperation
this study could not be accomplished
A word of appreciation also goes to Mdm Chin Siew Kiaw Dr Lai Boon Foo and Dr
Nolan Teo who have given my all the support and help during the data collection I would
also like to extent my deepest appreciation to all nursing sisters matrons and assistant
medical officers whom were hold in-charge of TPC in every divisions and clinics for their
contributions and support at various stages of the study None ever hesitate to assist whenever
required to do so
My very special thanks to the Head of Department of Community Medicine and
Public Health Department UNIMAS Associate Professor Dr Kamaluddin Bakar Associate
Professor Dr Ong Puay Hoon and all my academic advisors and lecturers for their
continuous efforts of assistance valuable advice and encouragement throughout my study
vii
process and dissertation writing I will never forget the enthusiasm and kindness they have
given to me
My sincere gratitude also goes to my dearest course-mates Dr Sharifah Norashikin
binti Wan Ahmad and Dr Shahnur Begum and all other DrPH candidates of UNIMAS for
their valuable supports and helpfulness throughout the course All your opinions and
suggestions had contributed to the success of this dissertation I would like to specially
mention my appreciation for Dr Sharifah Norashikin for being such a wonderful companion
of mine when travelling throughout Sarawak for data collection
I am particularly indebted to my loving parents and family members for their love
support inspiration encouragement and good understanding of me throughout this study
period which enabled me to reach the study goal
I would like to acknowledge all of the other people who have knowingly or
unknowingly contributed towards whatever merits this research and dissertation possess I
am regretful if am not able to recall everyone as I am certainly indebted to them
Last but by no means least lowe a great debt of gratitude to all the TPC users in
Sarawak who have agreed to spare their precious time off from their working hours to
participate in this study This study will never come to a success without their willingness to
share their thoughts on TPC
Thank you very much to all
HoAiChia
viii
Pusat Khidmat Maklumat Akademik UNlVERSm MALAYSIA SARAWAK
TABLE OF CONTENTS
page
ABSTRACT i
LIST OF ABBREVIATIONS xviii
ABSTRAK iii
DECLARATION v
ACKNOWLEDGEMENTS vi
TABLE OF CONTENTS ix
LIST OF TABLES xiv
LIST OF FIGURES xvi
CHAPTER 1 INTRODUCTION LITERATURE REVIEW
11 Introduction 1
111 Teleprimary Care in Malaysia 3
12 Problem Statement 5
13 Research Questions 7
14 Research Objectives 8
141 General Objective 8
142 Specific Objectives 8
15 Research Hypotheses 9
16 Significance of the Study 10
17 Literature Review 12
171 Health Delivery System in Sarawak 12
172 The Future of Health Delivery System in Malaysia 13
ix
173 Primary Healthcare Infonnatics in Malaysia 16
174 Teleprimary Care in Sarawak 17
175 Computer Literacy among Health Staff 28
176 Implementation oflnfonnation Technology Application in Healthcare 29
177 Theories explaining Acceptance of Technology 32
178 Summary44
18 Research Framework 47
CHAPTER 2 METHODOLOGY
21 Research Design 50
22 Study Population and Setting 50
221 Population and Setting 50
222 Inclusion and Exclusion Criteria 51
23 Sample Size Calculation 54
231 Sample Size for Quantitative Study 54
232 Sample Size for Qualitative Study 55
24 Sampling Procedure 56
241 Sampling Procedure for Quantitative Study 56
242 Sampling Procedure for Qualitative Study 58
25 Instrument Development 60
251 Study Instrument 61
252 Variables 63
253 Operational Definitions 64
26 Data Collection Procedure 67
x
261 Document Analysis 67
262 Data Collection Procedure for Quantitative Phase 67
263 Data Collection Procedure for Qualitative Phase 68
27 Validity and Reliability Testing 69
271 Validation ofQuestiOlUlaire 70
272 Pilot Study for Quantitative Study 70
273 Pretesting for Qualitative Study 72
28 Data Analysis 73
281 Document Analysis on TPC Utilization 73
282 Quantitative Data Analysis 74
283 Qualitative Data Analysis 74
29 Ethical Consideration 75
210 Duration of Study 77
211 Limitations of Study 78
CHAPTER 3 RESULTS
31 Introduction80
32 Document Analysis 81
321 Utilization of Teleprimary Care according to Divisions and Centres 81
322 Utilization according to Category of Post (Jan-Jun 2012) 82
323 Summary from Document Analysis 84
33 Quantitative Analysis 85
331 Socio-Demographic Characteristics 85
332 Information related to TPC usage 89
Xl
333 Factors affecting Computer Literacy 95
334 User Acceptance ofTPC 102
335 Perceptions of Users on TPC usage 120
336 Challenges and Barriers Faced by TPC Users 129
337 Comments and Recommendations by TPC Users 131
338 Summary from Quantitative Analysis 132
34 Qualitative Analysis 133
341 Acceptance ofTPC Usage 134
342 Perceptions of Users on TPC usage 147
343 Challenges and Barriers Faced by Users 155
344 Comments and Recommendations Users Perspectives 161
345 Supervisors Perceptions of Teleprimary Care 164
346 Summary from Qualitative Analysis 171
CHAPTER 4 DISCUSSION
41 Discussion 172
42 Management Implications 189
CHAPTER 5 SUMMARY AND CONCLUSIONS
51 Summary and Conclusion 191
52 Recommendations 194
521 Recommendations for Future Study 194
522 Recommendations for Future TPC Implementation Strategies 194
xii
BIBLIOGRAPHy 199
APPENDICES
APPENDIX A - List of Teleprimary Care centres in Sarawak 216
APPENDIX B1 - Questionnaire (Quantitative Study) English Version
APPENDIX Gl - Percentage ofTPC usage based on Visit Records from TPC Database and
217
APPENDIX B2 - Questionnaire (Quantitative Study) Malay Version 223
APPENDIX C1 - Informed Consent Form (English Version) 230
APPENDIX C2 - Informed Consent Form (Malay Version) 233
APPENDIX D1 - Researchers Information Form (English Version) 237
APPENDIX D2 - Researchers Information Form (Malay Version) 239
APPENDIX E1 - Interview Guide For Clinic TPC Users 242
APPENDIX E2 - Interview Guide For Clinic Supervisors 245
APPENDIX E3 - Interview Guide For Divisional Supervisors 247
APPENDIX Fl - Approval Letter from MREC 249
APPENDIX F2 - Approval Letter from CRC 250
APPENDIX F3 - Approval Letter from Ethics Committee UNIMAS 251
Workload from HMIS January to June 2012 in Sarawak 252
APPENDIX G2 - Original Research Model Unstandardized Parameter Estimates 254
APPENDIX G3 - Original Model Standardized Parameter Estimates 255
APPENDIX G4 - Modified Model Unstandardized Parameter Estimation 256
APPENDIX G5 - Modified Model Standardized Parameter Estimates 257
APPENDIXH - Research Schedule (Gantt Chart) 258
XIII
LIST OF TABLES
page
Table 1 Internal Consistency for each Factor in Questionnaire prior to Modification 71
Table 2 Modules in Teleprimary Care selected for Different Categories of Users
Table 3 Utilization of Teleprimary Care System by Users according to Different Category
74
ofPost from January to June 2012 84
Table 4 Distribution of the Respondents by Socio-demographic Characteristics (n = 516) 88
91
Table 5 Distribution of the Respondents by Information related to Teleprimary Care usage
Table 6 Distribution of the Respondents by Computer Literacy (n=516) 92
Table 7 Percentage Distribution ofTechnical Supervisory Visits by Teleprimary Care Team
(n=516) 94
Table 8 Percentage Distribution of Administrative Supervisory Visits (n=516) 94
Table 9 Factors affecting Computer Literacy Bivariate Analysis (n=516) 98
Table 10 Faotors influencing Computer Literacy among TPC users Multinomial Logistic
Regression Analysis 101
106
Table II Distribution of Respondents by Factors affecting Acceptance to use TPC (n=516)
Table 12 Distribution of Respondents by Intention to use TPC (n=516) 108
Table 13 Pearson Correlations between Predictor and Dependent Variables (n=516) 110
Table 14 Means and Standard Deviations for Predictor Variables and Dependent Variable
for Model Testing (n=516) 112
Table 15 Factors affecting Intention to Use TPC Standard Multiple Linear Regression
Analysis (n=442) 112
xiv
Analysis of Overall Model Goodness-of-Fit for Original Research Model 114
Analysis of Overall Model Goodness-of-Fit for Modified ModeL 117
Distribution of the Respondents by Perception on TPC Usage 122
Factors affecting Preferred Method of Documentation Bivariate Analysis (n=350)
125
Factors affecting Preference between Teleprimary Care and Current Paper-based
System Binary Logistic Regression 128
Challenges and Barriers faced by TPC Users (n=516) 130
Comments to improve TPC Usage (n=516) l32
xv
LIST OF FIGURES
page
Figure 1 Network Architecture of Teleprimary Care prior to Migration ofNetwork (Adopted
from the presentation slide by Fauziah 2010) 22
Figure 2 Database Architecture of Teleprimary Care (Adopted from the presentation slide by
Figure 11 Research Framework on Acceptance of Teleprimary Care and Factors affecting it49
Figure 16 Percentage ofTPC usage based on Visit Records from TPC Database and
Rebi amp Pairan 2012) 22
Figure 3 Distributed Multi-Tier Architecture used in Teleprimary Care (Raili et al 2006) 24
Figure 4 Theory of Reasoned Action (Fishbein and Ajzen 1975) 34
Figure 5 Reciprocal Determinism in Social Cognitive Theory (Compeau amp Higgins 1995) 35
Figure 6 Theory of Planned Behaviour (Ajzen 1991 ) 36
Figure 7 Technology Acceptance Model (Davis 1989) 38
Figure 8 Extended Technology Acceptance Model (Venkatesh and Davis 2000) 39
Figure 9 The Model of PC Utilization (Thompson et al 1991) 41
Figure 10 Unified Theory of Acceptance and Use of Technology (Venkatesh et al 2003) 45
Figure 12 Sampling Frame for Quantitative Data Collection 52
Figure 13 Sampling Method for Quantitative Phase of Study 57
Figure 14 Sampling Method for Qualitative Phase of Study 60
Figure 15 Data Collection Procedure for 9uantitative Phase of Study 69
Workload from HMIS January to June 2012 in Sarawak 82
Figure 17 Computer Literacy of Respondents (n=516) 92
Figure 18 Framework on Utilization of Teleprimary Care (Original Model) 116
xvi
19 Framework on Utilization of Teleprimary Care (Original Model) (Standardized
estimates) 116
igure 20 Framework on Utilization of Teleprimary Care (Modified Model) (Unstandardized
Figure 21 Framework on Utilization of Teleprimary Care (Modified Model) (Standardized
estimates) 119
estimates) 119
Figure 22 Any Challenges or Barriers faced(n=516) 130
xvii
LIST OF ABBREVIATIONS
ACG = Adjusted Clinical Group
AMO = Assistant Medical Officer
BPKK = Bahagian Pembangunan Kesihatan Keluarga (FHDD)
CI = Confidence Interval
df = Degree of Freedom
DHO = Divisional Health Office
FHDD = Family Health Development Division
ICT = Information and Communication Technology
lOT = Innovation Diffusion Theory
IT = Information Technology
JM = Jururawat Masyarakat (Community Nurse)
JPL = Jabatan Pesaldt Luar (Out-patient Department)
Lab = Laboratory
LAN = Local Area Network
KK = Klinik Kesihatan (Health Clinic)
KKIA = Klinik Kesihatan Ibu dan Anak (Maternal and Child Health Clinic)
KKM = Kementerian Kesihatan Malaysia (Malaysian Ministry ofHealth)
MA = Medical Assistant (now known as Assistant Medical Officer)
MCH = Maternal and Child Health Clinic
MO = Medical Officer
xviii
------------ --
= Ministry of Health
= Model of Personal Computer Utilization
= Personal Computer
= Pejabat Kesihatan Bahagian (Divisional Health Office)
= Person Management System
= Senior Assistant Medical Officer
= Social Cognitive Theory
= Standard Deviation
= Structural Equation Modeling
= Sasaran Kerja Tahunan
= Technology Acceptance Model
= Extended Technology Acceptance Model
= Theory of Planned Behaviour
1PC = Teleprimary Care
TRA = Theory of Reasoned Action
DNlMAS = Universiti Malaysia Sarawak
UTAUT = Unified Theory of Acceptance and Use ofTechnology
= Very Small Aperture Terminal
WHO = World Health Organization
XIX
CHAPTERl
INTRODUCTION LITERATURE REVIEW
The use of Internet for e-health or medical infonnatics and related technologies to
deliver or improve health services and infonnation has been an emerging field in healthcare
DIII18gement worldwide (Eysenbach 2001) Within this field the World Health Organisation
(WHO) has identified Telemedicine as a possible application to strengthen health systems and
improve the quality of health care delivery in rural areas (WHO 2010) In Malaysia health
management infonnation system such as Teleprimary Care (TPC) were also expected to
show great potential in providing substantial benefits to healthcare providers healthcare
organizations and patients These electronic systems were believed to be able to facilitate the
workflow in healthcare organization improve quality of patient care and enhance patient
safety in management (Brinfo nd)
Teleprimary Care was launched in Malaysia in the year 2004 Till date there are 88
clinics and seven hospitals equipped with TPC system throughout Malaysia (BPKK 2012
BomeoPost Online 2013) TPC system has been designed to provide many functions to help
bealth managers in delivering more efficient health services and having easier monitoring of
the health status of the community However until now TPC has functioned mainly as an
electronic medical record system for storage and retrieving of patients medical data The use
ofTPC for other functions has been limited
Before the introduction of TPC system patients clinical records were documented in
writing and were subjected to errors The conventional system involved tedious paperwork
which required great amount of resources in tenns of time money and manpower both in
ilCOlrdiIll2 and data extraction Many of these surveillance data collected were left aside and
used to its fullest due to the lengthy procedures required to extract information from piles
files and documents Teleprimary Care system was then created with the hope to improve
health information system by providing more timely and accurate information to help
iWMlnvp health status monitoring With TPC system the communication between healthcare
IIImJrittft in rural areas with specialists in hospitals will also be improved as sharing of
PfOlma1tion can be done more effectively
Introduction of TPC in the healthcare system would also mean a major change from
current paper-based documentation system to a fully computerized management system
to this major change should be well expected and anticipated during its
The greatest challenge remains having all the eligible TPC users to
iftMmiddotIVrAt TPC into their routine daily work Despite the great potential in improving the
_Iitv of health care service delivery the positive impact from TPC will only be discerned if
users access and utilize the functions of TPC regularly Therefore understanding of the
1acceDtanCe of TPC among the users and factors affecting their acceptance are crucial for the
~Jaonirlg of a more efficient implementation of TPC in the country Unfortunately the
I tnl[)wlledle and empirical research on the adoption ofTPC currently is still limited in general
The purpose of this study was to gather data regarding usage of TPC system among
the users The data would then be used to explore the socio-demographic characteristics of the
1I8etS their acceptances as well as the factors which may predict their utilization of the TPC
system The acceptance of users towards TPC was assessed through their intentions to use the
system The study also intended to set a platform for the TPC users to voice their perceptions
barriers faced when using the system and to gather the users opinions and priorities in
the current TPC implementation All these information are important in healthcare
2
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3
ACKNOWLEDGEMENTS
It is my prestigious privilege to express my deepest gratitude and appreciation to both
my research supervisors Professor Dr Mohamad Raili bin Suhaili and Dato Dr Andrew Kiyu
Dawie Usop for their enthusiasm constant guidance and valuable suggestions from the
beginning to the end of my research I am truly grateful for their sincere effort and greatest
patience in giving clear guidance and intellectual direction to my dissertation Their
continuous supports have been the greatest cue for me to embark on this research I can never
thank Prof Raili enough for his assistance and effort in making my data collection process for
this research a smooth sail
This dissertation would not have completed in time without the dedication and
enthusiasm given by my lecturer in Biostatistics Associate Professor Dr Md Mizanur
Rahman His continuous inspiration constructive criticism and valuable directions all through
the course had guided me throughout the dissertation preparation period
I would also like to express my deepest thanks to the Dean of Faculty of Medicine and
Health Sciences UNIMAS Professor Dr Ahmad Hata Rasit and the Deputy Dean
(postgraduate and Research) Professor Dr Lela Suut for their kindest supports in this
programme and our research study My special thanks also goes to my lecturer and fonner
Dean Tan Sri Datu Prof Dr Hj Mohd Taha bin Arif for his continuous support and guidance
throughout my study
I can go no further without expressing my appreciation and gratitude to Dr Flora Ong
whom had provided valuable guidance and advice on this research based on her enriching
experience in Teleprimary Care of Sarawak
VI
I would like to acknowledge the State Health Director of Sarawak Dato Dr Zulkifli
bin Jantan for his kind consideration and approval on my proposal in order for me to proceed
with my research study This study would not have gone this far without the support from all
the Divisional Health Officers involved in the research Dr Kamarudin bin Lajim Dr Julaidah
bt Sharip Dr Muhamad Rais Abdullah Dr Osman Bin Rafaie Dr Hasrina Hassan and Dr
Ngian Hie Ung and former Directors of Sibu Hospital Dr Chin Zin Hing and Dr Audrey
Gapoh to agree to this research in their respective health premises and offer of assistance in
transportation and accommodation
I would like to give special acknowledgement to all the staff of Telehealth Unit of
Sarawak State Health Department and Sibu Hospital especially Dr Eunice Melissa Joseph Dr
Diana Jawa SAMO Mr Bobby Hudson Didet and AMO Mr Alexander Ringga for their time
and effort in extracting the relevant data from the database and sharing of invaluable
comments and suggestions for this research Without their kind assistance and cooperation
this study could not be accomplished
A word of appreciation also goes to Mdm Chin Siew Kiaw Dr Lai Boon Foo and Dr
Nolan Teo who have given my all the support and help during the data collection I would
also like to extent my deepest appreciation to all nursing sisters matrons and assistant
medical officers whom were hold in-charge of TPC in every divisions and clinics for their
contributions and support at various stages of the study None ever hesitate to assist whenever
required to do so
My very special thanks to the Head of Department of Community Medicine and
Public Health Department UNIMAS Associate Professor Dr Kamaluddin Bakar Associate
Professor Dr Ong Puay Hoon and all my academic advisors and lecturers for their
continuous efforts of assistance valuable advice and encouragement throughout my study
vii
process and dissertation writing I will never forget the enthusiasm and kindness they have
given to me
My sincere gratitude also goes to my dearest course-mates Dr Sharifah Norashikin
binti Wan Ahmad and Dr Shahnur Begum and all other DrPH candidates of UNIMAS for
their valuable supports and helpfulness throughout the course All your opinions and
suggestions had contributed to the success of this dissertation I would like to specially
mention my appreciation for Dr Sharifah Norashikin for being such a wonderful companion
of mine when travelling throughout Sarawak for data collection
I am particularly indebted to my loving parents and family members for their love
support inspiration encouragement and good understanding of me throughout this study
period which enabled me to reach the study goal
I would like to acknowledge all of the other people who have knowingly or
unknowingly contributed towards whatever merits this research and dissertation possess I
am regretful if am not able to recall everyone as I am certainly indebted to them
Last but by no means least lowe a great debt of gratitude to all the TPC users in
Sarawak who have agreed to spare their precious time off from their working hours to
participate in this study This study will never come to a success without their willingness to
share their thoughts on TPC
Thank you very much to all
HoAiChia
viii
Pusat Khidmat Maklumat Akademik UNlVERSm MALAYSIA SARAWAK
TABLE OF CONTENTS
page
ABSTRACT i
LIST OF ABBREVIATIONS xviii
ABSTRAK iii
DECLARATION v
ACKNOWLEDGEMENTS vi
TABLE OF CONTENTS ix
LIST OF TABLES xiv
LIST OF FIGURES xvi
CHAPTER 1 INTRODUCTION LITERATURE REVIEW
11 Introduction 1
111 Teleprimary Care in Malaysia 3
12 Problem Statement 5
13 Research Questions 7
14 Research Objectives 8
141 General Objective 8
142 Specific Objectives 8
15 Research Hypotheses 9
16 Significance of the Study 10
17 Literature Review 12
171 Health Delivery System in Sarawak 12
172 The Future of Health Delivery System in Malaysia 13
ix
173 Primary Healthcare Infonnatics in Malaysia 16
174 Teleprimary Care in Sarawak 17
175 Computer Literacy among Health Staff 28
176 Implementation oflnfonnation Technology Application in Healthcare 29
177 Theories explaining Acceptance of Technology 32
178 Summary44
18 Research Framework 47
CHAPTER 2 METHODOLOGY
21 Research Design 50
22 Study Population and Setting 50
221 Population and Setting 50
222 Inclusion and Exclusion Criteria 51
23 Sample Size Calculation 54
231 Sample Size for Quantitative Study 54
232 Sample Size for Qualitative Study 55
24 Sampling Procedure 56
241 Sampling Procedure for Quantitative Study 56
242 Sampling Procedure for Qualitative Study 58
25 Instrument Development 60
251 Study Instrument 61
252 Variables 63
253 Operational Definitions 64
26 Data Collection Procedure 67
x
261 Document Analysis 67
262 Data Collection Procedure for Quantitative Phase 67
263 Data Collection Procedure for Qualitative Phase 68
27 Validity and Reliability Testing 69
271 Validation ofQuestiOlUlaire 70
272 Pilot Study for Quantitative Study 70
273 Pretesting for Qualitative Study 72
28 Data Analysis 73
281 Document Analysis on TPC Utilization 73
282 Quantitative Data Analysis 74
283 Qualitative Data Analysis 74
29 Ethical Consideration 75
210 Duration of Study 77
211 Limitations of Study 78
CHAPTER 3 RESULTS
31 Introduction80
32 Document Analysis 81
321 Utilization of Teleprimary Care according to Divisions and Centres 81
322 Utilization according to Category of Post (Jan-Jun 2012) 82
323 Summary from Document Analysis 84
33 Quantitative Analysis 85
331 Socio-Demographic Characteristics 85
332 Information related to TPC usage 89
Xl
333 Factors affecting Computer Literacy 95
334 User Acceptance ofTPC 102
335 Perceptions of Users on TPC usage 120
336 Challenges and Barriers Faced by TPC Users 129
337 Comments and Recommendations by TPC Users 131
338 Summary from Quantitative Analysis 132
34 Qualitative Analysis 133
341 Acceptance ofTPC Usage 134
342 Perceptions of Users on TPC usage 147
343 Challenges and Barriers Faced by Users 155
344 Comments and Recommendations Users Perspectives 161
345 Supervisors Perceptions of Teleprimary Care 164
346 Summary from Qualitative Analysis 171
CHAPTER 4 DISCUSSION
41 Discussion 172
42 Management Implications 189
CHAPTER 5 SUMMARY AND CONCLUSIONS
51 Summary and Conclusion 191
52 Recommendations 194
521 Recommendations for Future Study 194
522 Recommendations for Future TPC Implementation Strategies 194
xii
BIBLIOGRAPHy 199
APPENDICES
APPENDIX A - List of Teleprimary Care centres in Sarawak 216
APPENDIX B1 - Questionnaire (Quantitative Study) English Version
APPENDIX Gl - Percentage ofTPC usage based on Visit Records from TPC Database and
217
APPENDIX B2 - Questionnaire (Quantitative Study) Malay Version 223
APPENDIX C1 - Informed Consent Form (English Version) 230
APPENDIX C2 - Informed Consent Form (Malay Version) 233
APPENDIX D1 - Researchers Information Form (English Version) 237
APPENDIX D2 - Researchers Information Form (Malay Version) 239
APPENDIX E1 - Interview Guide For Clinic TPC Users 242
APPENDIX E2 - Interview Guide For Clinic Supervisors 245
APPENDIX E3 - Interview Guide For Divisional Supervisors 247
APPENDIX Fl - Approval Letter from MREC 249
APPENDIX F2 - Approval Letter from CRC 250
APPENDIX F3 - Approval Letter from Ethics Committee UNIMAS 251
Workload from HMIS January to June 2012 in Sarawak 252
APPENDIX G2 - Original Research Model Unstandardized Parameter Estimates 254
APPENDIX G3 - Original Model Standardized Parameter Estimates 255
APPENDIX G4 - Modified Model Unstandardized Parameter Estimation 256
APPENDIX G5 - Modified Model Standardized Parameter Estimates 257
APPENDIXH - Research Schedule (Gantt Chart) 258
XIII
LIST OF TABLES
page
Table 1 Internal Consistency for each Factor in Questionnaire prior to Modification 71
Table 2 Modules in Teleprimary Care selected for Different Categories of Users
Table 3 Utilization of Teleprimary Care System by Users according to Different Category
74
ofPost from January to June 2012 84
Table 4 Distribution of the Respondents by Socio-demographic Characteristics (n = 516) 88
91
Table 5 Distribution of the Respondents by Information related to Teleprimary Care usage
Table 6 Distribution of the Respondents by Computer Literacy (n=516) 92
Table 7 Percentage Distribution ofTechnical Supervisory Visits by Teleprimary Care Team
(n=516) 94
Table 8 Percentage Distribution of Administrative Supervisory Visits (n=516) 94
Table 9 Factors affecting Computer Literacy Bivariate Analysis (n=516) 98
Table 10 Faotors influencing Computer Literacy among TPC users Multinomial Logistic
Regression Analysis 101
106
Table II Distribution of Respondents by Factors affecting Acceptance to use TPC (n=516)
Table 12 Distribution of Respondents by Intention to use TPC (n=516) 108
Table 13 Pearson Correlations between Predictor and Dependent Variables (n=516) 110
Table 14 Means and Standard Deviations for Predictor Variables and Dependent Variable
for Model Testing (n=516) 112
Table 15 Factors affecting Intention to Use TPC Standard Multiple Linear Regression
Analysis (n=442) 112
xiv
Analysis of Overall Model Goodness-of-Fit for Original Research Model 114
Analysis of Overall Model Goodness-of-Fit for Modified ModeL 117
Distribution of the Respondents by Perception on TPC Usage 122
Factors affecting Preferred Method of Documentation Bivariate Analysis (n=350)
125
Factors affecting Preference between Teleprimary Care and Current Paper-based
System Binary Logistic Regression 128
Challenges and Barriers faced by TPC Users (n=516) 130
Comments to improve TPC Usage (n=516) l32
xv
LIST OF FIGURES
page
Figure 1 Network Architecture of Teleprimary Care prior to Migration ofNetwork (Adopted
from the presentation slide by Fauziah 2010) 22
Figure 2 Database Architecture of Teleprimary Care (Adopted from the presentation slide by
Figure 11 Research Framework on Acceptance of Teleprimary Care and Factors affecting it49
Figure 16 Percentage ofTPC usage based on Visit Records from TPC Database and
Rebi amp Pairan 2012) 22
Figure 3 Distributed Multi-Tier Architecture used in Teleprimary Care (Raili et al 2006) 24
Figure 4 Theory of Reasoned Action (Fishbein and Ajzen 1975) 34
Figure 5 Reciprocal Determinism in Social Cognitive Theory (Compeau amp Higgins 1995) 35
Figure 6 Theory of Planned Behaviour (Ajzen 1991 ) 36
Figure 7 Technology Acceptance Model (Davis 1989) 38
Figure 8 Extended Technology Acceptance Model (Venkatesh and Davis 2000) 39
Figure 9 The Model of PC Utilization (Thompson et al 1991) 41
Figure 10 Unified Theory of Acceptance and Use of Technology (Venkatesh et al 2003) 45
Figure 12 Sampling Frame for Quantitative Data Collection 52
Figure 13 Sampling Method for Quantitative Phase of Study 57
Figure 14 Sampling Method for Qualitative Phase of Study 60
Figure 15 Data Collection Procedure for 9uantitative Phase of Study 69
Workload from HMIS January to June 2012 in Sarawak 82
Figure 17 Computer Literacy of Respondents (n=516) 92
Figure 18 Framework on Utilization of Teleprimary Care (Original Model) 116
xvi
19 Framework on Utilization of Teleprimary Care (Original Model) (Standardized
estimates) 116
igure 20 Framework on Utilization of Teleprimary Care (Modified Model) (Unstandardized
Figure 21 Framework on Utilization of Teleprimary Care (Modified Model) (Standardized
estimates) 119
estimates) 119
Figure 22 Any Challenges or Barriers faced(n=516) 130
xvii
LIST OF ABBREVIATIONS
ACG = Adjusted Clinical Group
AMO = Assistant Medical Officer
BPKK = Bahagian Pembangunan Kesihatan Keluarga (FHDD)
CI = Confidence Interval
df = Degree of Freedom
DHO = Divisional Health Office
FHDD = Family Health Development Division
ICT = Information and Communication Technology
lOT = Innovation Diffusion Theory
IT = Information Technology
JM = Jururawat Masyarakat (Community Nurse)
JPL = Jabatan Pesaldt Luar (Out-patient Department)
Lab = Laboratory
LAN = Local Area Network
KK = Klinik Kesihatan (Health Clinic)
KKIA = Klinik Kesihatan Ibu dan Anak (Maternal and Child Health Clinic)
KKM = Kementerian Kesihatan Malaysia (Malaysian Ministry ofHealth)
MA = Medical Assistant (now known as Assistant Medical Officer)
MCH = Maternal and Child Health Clinic
MO = Medical Officer
xviii
------------ --
= Ministry of Health
= Model of Personal Computer Utilization
= Personal Computer
= Pejabat Kesihatan Bahagian (Divisional Health Office)
= Person Management System
= Senior Assistant Medical Officer
= Social Cognitive Theory
= Standard Deviation
= Structural Equation Modeling
= Sasaran Kerja Tahunan
= Technology Acceptance Model
= Extended Technology Acceptance Model
= Theory of Planned Behaviour
1PC = Teleprimary Care
TRA = Theory of Reasoned Action
DNlMAS = Universiti Malaysia Sarawak
UTAUT = Unified Theory of Acceptance and Use ofTechnology
= Very Small Aperture Terminal
WHO = World Health Organization
XIX
CHAPTERl
INTRODUCTION LITERATURE REVIEW
The use of Internet for e-health or medical infonnatics and related technologies to
deliver or improve health services and infonnation has been an emerging field in healthcare
DIII18gement worldwide (Eysenbach 2001) Within this field the World Health Organisation
(WHO) has identified Telemedicine as a possible application to strengthen health systems and
improve the quality of health care delivery in rural areas (WHO 2010) In Malaysia health
management infonnation system such as Teleprimary Care (TPC) were also expected to
show great potential in providing substantial benefits to healthcare providers healthcare
organizations and patients These electronic systems were believed to be able to facilitate the
workflow in healthcare organization improve quality of patient care and enhance patient
safety in management (Brinfo nd)
Teleprimary Care was launched in Malaysia in the year 2004 Till date there are 88
clinics and seven hospitals equipped with TPC system throughout Malaysia (BPKK 2012
BomeoPost Online 2013) TPC system has been designed to provide many functions to help
bealth managers in delivering more efficient health services and having easier monitoring of
the health status of the community However until now TPC has functioned mainly as an
electronic medical record system for storage and retrieving of patients medical data The use
ofTPC for other functions has been limited
Before the introduction of TPC system patients clinical records were documented in
writing and were subjected to errors The conventional system involved tedious paperwork
which required great amount of resources in tenns of time money and manpower both in
ilCOlrdiIll2 and data extraction Many of these surveillance data collected were left aside and
used to its fullest due to the lengthy procedures required to extract information from piles
files and documents Teleprimary Care system was then created with the hope to improve
health information system by providing more timely and accurate information to help
iWMlnvp health status monitoring With TPC system the communication between healthcare
IIImJrittft in rural areas with specialists in hospitals will also be improved as sharing of
PfOlma1tion can be done more effectively
Introduction of TPC in the healthcare system would also mean a major change from
current paper-based documentation system to a fully computerized management system
to this major change should be well expected and anticipated during its
The greatest challenge remains having all the eligible TPC users to
iftMmiddotIVrAt TPC into their routine daily work Despite the great potential in improving the
_Iitv of health care service delivery the positive impact from TPC will only be discerned if
users access and utilize the functions of TPC regularly Therefore understanding of the
1acceDtanCe of TPC among the users and factors affecting their acceptance are crucial for the
~Jaonirlg of a more efficient implementation of TPC in the country Unfortunately the
I tnl[)wlledle and empirical research on the adoption ofTPC currently is still limited in general
The purpose of this study was to gather data regarding usage of TPC system among
the users The data would then be used to explore the socio-demographic characteristics of the
1I8etS their acceptances as well as the factors which may predict their utilization of the TPC
system The acceptance of users towards TPC was assessed through their intentions to use the
system The study also intended to set a platform for the TPC users to voice their perceptions
barriers faced when using the system and to gather the users opinions and priorities in
the current TPC implementation All these information are important in healthcare
2
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3
I would like to acknowledge the State Health Director of Sarawak Dato Dr Zulkifli
bin Jantan for his kind consideration and approval on my proposal in order for me to proceed
with my research study This study would not have gone this far without the support from all
the Divisional Health Officers involved in the research Dr Kamarudin bin Lajim Dr Julaidah
bt Sharip Dr Muhamad Rais Abdullah Dr Osman Bin Rafaie Dr Hasrina Hassan and Dr
Ngian Hie Ung and former Directors of Sibu Hospital Dr Chin Zin Hing and Dr Audrey
Gapoh to agree to this research in their respective health premises and offer of assistance in
transportation and accommodation
I would like to give special acknowledgement to all the staff of Telehealth Unit of
Sarawak State Health Department and Sibu Hospital especially Dr Eunice Melissa Joseph Dr
Diana Jawa SAMO Mr Bobby Hudson Didet and AMO Mr Alexander Ringga for their time
and effort in extracting the relevant data from the database and sharing of invaluable
comments and suggestions for this research Without their kind assistance and cooperation
this study could not be accomplished
A word of appreciation also goes to Mdm Chin Siew Kiaw Dr Lai Boon Foo and Dr
Nolan Teo who have given my all the support and help during the data collection I would
also like to extent my deepest appreciation to all nursing sisters matrons and assistant
medical officers whom were hold in-charge of TPC in every divisions and clinics for their
contributions and support at various stages of the study None ever hesitate to assist whenever
required to do so
My very special thanks to the Head of Department of Community Medicine and
Public Health Department UNIMAS Associate Professor Dr Kamaluddin Bakar Associate
Professor Dr Ong Puay Hoon and all my academic advisors and lecturers for their
continuous efforts of assistance valuable advice and encouragement throughout my study
vii
process and dissertation writing I will never forget the enthusiasm and kindness they have
given to me
My sincere gratitude also goes to my dearest course-mates Dr Sharifah Norashikin
binti Wan Ahmad and Dr Shahnur Begum and all other DrPH candidates of UNIMAS for
their valuable supports and helpfulness throughout the course All your opinions and
suggestions had contributed to the success of this dissertation I would like to specially
mention my appreciation for Dr Sharifah Norashikin for being such a wonderful companion
of mine when travelling throughout Sarawak for data collection
I am particularly indebted to my loving parents and family members for their love
support inspiration encouragement and good understanding of me throughout this study
period which enabled me to reach the study goal
I would like to acknowledge all of the other people who have knowingly or
unknowingly contributed towards whatever merits this research and dissertation possess I
am regretful if am not able to recall everyone as I am certainly indebted to them
Last but by no means least lowe a great debt of gratitude to all the TPC users in
Sarawak who have agreed to spare their precious time off from their working hours to
participate in this study This study will never come to a success without their willingness to
share their thoughts on TPC
Thank you very much to all
HoAiChia
viii
Pusat Khidmat Maklumat Akademik UNlVERSm MALAYSIA SARAWAK
TABLE OF CONTENTS
page
ABSTRACT i
LIST OF ABBREVIATIONS xviii
ABSTRAK iii
DECLARATION v
ACKNOWLEDGEMENTS vi
TABLE OF CONTENTS ix
LIST OF TABLES xiv
LIST OF FIGURES xvi
CHAPTER 1 INTRODUCTION LITERATURE REVIEW
11 Introduction 1
111 Teleprimary Care in Malaysia 3
12 Problem Statement 5
13 Research Questions 7
14 Research Objectives 8
141 General Objective 8
142 Specific Objectives 8
15 Research Hypotheses 9
16 Significance of the Study 10
17 Literature Review 12
171 Health Delivery System in Sarawak 12
172 The Future of Health Delivery System in Malaysia 13
ix
173 Primary Healthcare Infonnatics in Malaysia 16
174 Teleprimary Care in Sarawak 17
175 Computer Literacy among Health Staff 28
176 Implementation oflnfonnation Technology Application in Healthcare 29
177 Theories explaining Acceptance of Technology 32
178 Summary44
18 Research Framework 47
CHAPTER 2 METHODOLOGY
21 Research Design 50
22 Study Population and Setting 50
221 Population and Setting 50
222 Inclusion and Exclusion Criteria 51
23 Sample Size Calculation 54
231 Sample Size for Quantitative Study 54
232 Sample Size for Qualitative Study 55
24 Sampling Procedure 56
241 Sampling Procedure for Quantitative Study 56
242 Sampling Procedure for Qualitative Study 58
25 Instrument Development 60
251 Study Instrument 61
252 Variables 63
253 Operational Definitions 64
26 Data Collection Procedure 67
x
261 Document Analysis 67
262 Data Collection Procedure for Quantitative Phase 67
263 Data Collection Procedure for Qualitative Phase 68
27 Validity and Reliability Testing 69
271 Validation ofQuestiOlUlaire 70
272 Pilot Study for Quantitative Study 70
273 Pretesting for Qualitative Study 72
28 Data Analysis 73
281 Document Analysis on TPC Utilization 73
282 Quantitative Data Analysis 74
283 Qualitative Data Analysis 74
29 Ethical Consideration 75
210 Duration of Study 77
211 Limitations of Study 78
CHAPTER 3 RESULTS
31 Introduction80
32 Document Analysis 81
321 Utilization of Teleprimary Care according to Divisions and Centres 81
322 Utilization according to Category of Post (Jan-Jun 2012) 82
323 Summary from Document Analysis 84
33 Quantitative Analysis 85
331 Socio-Demographic Characteristics 85
332 Information related to TPC usage 89
Xl
333 Factors affecting Computer Literacy 95
334 User Acceptance ofTPC 102
335 Perceptions of Users on TPC usage 120
336 Challenges and Barriers Faced by TPC Users 129
337 Comments and Recommendations by TPC Users 131
338 Summary from Quantitative Analysis 132
34 Qualitative Analysis 133
341 Acceptance ofTPC Usage 134
342 Perceptions of Users on TPC usage 147
343 Challenges and Barriers Faced by Users 155
344 Comments and Recommendations Users Perspectives 161
345 Supervisors Perceptions of Teleprimary Care 164
346 Summary from Qualitative Analysis 171
CHAPTER 4 DISCUSSION
41 Discussion 172
42 Management Implications 189
CHAPTER 5 SUMMARY AND CONCLUSIONS
51 Summary and Conclusion 191
52 Recommendations 194
521 Recommendations for Future Study 194
522 Recommendations for Future TPC Implementation Strategies 194
xii
BIBLIOGRAPHy 199
APPENDICES
APPENDIX A - List of Teleprimary Care centres in Sarawak 216
APPENDIX B1 - Questionnaire (Quantitative Study) English Version
APPENDIX Gl - Percentage ofTPC usage based on Visit Records from TPC Database and
217
APPENDIX B2 - Questionnaire (Quantitative Study) Malay Version 223
APPENDIX C1 - Informed Consent Form (English Version) 230
APPENDIX C2 - Informed Consent Form (Malay Version) 233
APPENDIX D1 - Researchers Information Form (English Version) 237
APPENDIX D2 - Researchers Information Form (Malay Version) 239
APPENDIX E1 - Interview Guide For Clinic TPC Users 242
APPENDIX E2 - Interview Guide For Clinic Supervisors 245
APPENDIX E3 - Interview Guide For Divisional Supervisors 247
APPENDIX Fl - Approval Letter from MREC 249
APPENDIX F2 - Approval Letter from CRC 250
APPENDIX F3 - Approval Letter from Ethics Committee UNIMAS 251
Workload from HMIS January to June 2012 in Sarawak 252
APPENDIX G2 - Original Research Model Unstandardized Parameter Estimates 254
APPENDIX G3 - Original Model Standardized Parameter Estimates 255
APPENDIX G4 - Modified Model Unstandardized Parameter Estimation 256
APPENDIX G5 - Modified Model Standardized Parameter Estimates 257
APPENDIXH - Research Schedule (Gantt Chart) 258
XIII
LIST OF TABLES
page
Table 1 Internal Consistency for each Factor in Questionnaire prior to Modification 71
Table 2 Modules in Teleprimary Care selected for Different Categories of Users
Table 3 Utilization of Teleprimary Care System by Users according to Different Category
74
ofPost from January to June 2012 84
Table 4 Distribution of the Respondents by Socio-demographic Characteristics (n = 516) 88
91
Table 5 Distribution of the Respondents by Information related to Teleprimary Care usage
Table 6 Distribution of the Respondents by Computer Literacy (n=516) 92
Table 7 Percentage Distribution ofTechnical Supervisory Visits by Teleprimary Care Team
(n=516) 94
Table 8 Percentage Distribution of Administrative Supervisory Visits (n=516) 94
Table 9 Factors affecting Computer Literacy Bivariate Analysis (n=516) 98
Table 10 Faotors influencing Computer Literacy among TPC users Multinomial Logistic
Regression Analysis 101
106
Table II Distribution of Respondents by Factors affecting Acceptance to use TPC (n=516)
Table 12 Distribution of Respondents by Intention to use TPC (n=516) 108
Table 13 Pearson Correlations between Predictor and Dependent Variables (n=516) 110
Table 14 Means and Standard Deviations for Predictor Variables and Dependent Variable
for Model Testing (n=516) 112
Table 15 Factors affecting Intention to Use TPC Standard Multiple Linear Regression
Analysis (n=442) 112
xiv
Analysis of Overall Model Goodness-of-Fit for Original Research Model 114
Analysis of Overall Model Goodness-of-Fit for Modified ModeL 117
Distribution of the Respondents by Perception on TPC Usage 122
Factors affecting Preferred Method of Documentation Bivariate Analysis (n=350)
125
Factors affecting Preference between Teleprimary Care and Current Paper-based
System Binary Logistic Regression 128
Challenges and Barriers faced by TPC Users (n=516) 130
Comments to improve TPC Usage (n=516) l32
xv
LIST OF FIGURES
page
Figure 1 Network Architecture of Teleprimary Care prior to Migration ofNetwork (Adopted
from the presentation slide by Fauziah 2010) 22
Figure 2 Database Architecture of Teleprimary Care (Adopted from the presentation slide by
Figure 11 Research Framework on Acceptance of Teleprimary Care and Factors affecting it49
Figure 16 Percentage ofTPC usage based on Visit Records from TPC Database and
Rebi amp Pairan 2012) 22
Figure 3 Distributed Multi-Tier Architecture used in Teleprimary Care (Raili et al 2006) 24
Figure 4 Theory of Reasoned Action (Fishbein and Ajzen 1975) 34
Figure 5 Reciprocal Determinism in Social Cognitive Theory (Compeau amp Higgins 1995) 35
Figure 6 Theory of Planned Behaviour (Ajzen 1991 ) 36
Figure 7 Technology Acceptance Model (Davis 1989) 38
Figure 8 Extended Technology Acceptance Model (Venkatesh and Davis 2000) 39
Figure 9 The Model of PC Utilization (Thompson et al 1991) 41
Figure 10 Unified Theory of Acceptance and Use of Technology (Venkatesh et al 2003) 45
Figure 12 Sampling Frame for Quantitative Data Collection 52
Figure 13 Sampling Method for Quantitative Phase of Study 57
Figure 14 Sampling Method for Qualitative Phase of Study 60
Figure 15 Data Collection Procedure for 9uantitative Phase of Study 69
Workload from HMIS January to June 2012 in Sarawak 82
Figure 17 Computer Literacy of Respondents (n=516) 92
Figure 18 Framework on Utilization of Teleprimary Care (Original Model) 116
xvi
19 Framework on Utilization of Teleprimary Care (Original Model) (Standardized
estimates) 116
igure 20 Framework on Utilization of Teleprimary Care (Modified Model) (Unstandardized
Figure 21 Framework on Utilization of Teleprimary Care (Modified Model) (Standardized
estimates) 119
estimates) 119
Figure 22 Any Challenges or Barriers faced(n=516) 130
xvii
LIST OF ABBREVIATIONS
ACG = Adjusted Clinical Group
AMO = Assistant Medical Officer
BPKK = Bahagian Pembangunan Kesihatan Keluarga (FHDD)
CI = Confidence Interval
df = Degree of Freedom
DHO = Divisional Health Office
FHDD = Family Health Development Division
ICT = Information and Communication Technology
lOT = Innovation Diffusion Theory
IT = Information Technology
JM = Jururawat Masyarakat (Community Nurse)
JPL = Jabatan Pesaldt Luar (Out-patient Department)
Lab = Laboratory
LAN = Local Area Network
KK = Klinik Kesihatan (Health Clinic)
KKIA = Klinik Kesihatan Ibu dan Anak (Maternal and Child Health Clinic)
KKM = Kementerian Kesihatan Malaysia (Malaysian Ministry ofHealth)
MA = Medical Assistant (now known as Assistant Medical Officer)
MCH = Maternal and Child Health Clinic
MO = Medical Officer
xviii
------------ --
= Ministry of Health
= Model of Personal Computer Utilization
= Personal Computer
= Pejabat Kesihatan Bahagian (Divisional Health Office)
= Person Management System
= Senior Assistant Medical Officer
= Social Cognitive Theory
= Standard Deviation
= Structural Equation Modeling
= Sasaran Kerja Tahunan
= Technology Acceptance Model
= Extended Technology Acceptance Model
= Theory of Planned Behaviour
1PC = Teleprimary Care
TRA = Theory of Reasoned Action
DNlMAS = Universiti Malaysia Sarawak
UTAUT = Unified Theory of Acceptance and Use ofTechnology
= Very Small Aperture Terminal
WHO = World Health Organization
XIX
CHAPTERl
INTRODUCTION LITERATURE REVIEW
The use of Internet for e-health or medical infonnatics and related technologies to
deliver or improve health services and infonnation has been an emerging field in healthcare
DIII18gement worldwide (Eysenbach 2001) Within this field the World Health Organisation
(WHO) has identified Telemedicine as a possible application to strengthen health systems and
improve the quality of health care delivery in rural areas (WHO 2010) In Malaysia health
management infonnation system such as Teleprimary Care (TPC) were also expected to
show great potential in providing substantial benefits to healthcare providers healthcare
organizations and patients These electronic systems were believed to be able to facilitate the
workflow in healthcare organization improve quality of patient care and enhance patient
safety in management (Brinfo nd)
Teleprimary Care was launched in Malaysia in the year 2004 Till date there are 88
clinics and seven hospitals equipped with TPC system throughout Malaysia (BPKK 2012
BomeoPost Online 2013) TPC system has been designed to provide many functions to help
bealth managers in delivering more efficient health services and having easier monitoring of
the health status of the community However until now TPC has functioned mainly as an
electronic medical record system for storage and retrieving of patients medical data The use
ofTPC for other functions has been limited
Before the introduction of TPC system patients clinical records were documented in
writing and were subjected to errors The conventional system involved tedious paperwork
which required great amount of resources in tenns of time money and manpower both in
ilCOlrdiIll2 and data extraction Many of these surveillance data collected were left aside and
used to its fullest due to the lengthy procedures required to extract information from piles
files and documents Teleprimary Care system was then created with the hope to improve
health information system by providing more timely and accurate information to help
iWMlnvp health status monitoring With TPC system the communication between healthcare
IIImJrittft in rural areas with specialists in hospitals will also be improved as sharing of
PfOlma1tion can be done more effectively
Introduction of TPC in the healthcare system would also mean a major change from
current paper-based documentation system to a fully computerized management system
to this major change should be well expected and anticipated during its
The greatest challenge remains having all the eligible TPC users to
iftMmiddotIVrAt TPC into their routine daily work Despite the great potential in improving the
_Iitv of health care service delivery the positive impact from TPC will only be discerned if
users access and utilize the functions of TPC regularly Therefore understanding of the
1acceDtanCe of TPC among the users and factors affecting their acceptance are crucial for the
~Jaonirlg of a more efficient implementation of TPC in the country Unfortunately the
I tnl[)wlledle and empirical research on the adoption ofTPC currently is still limited in general
The purpose of this study was to gather data regarding usage of TPC system among
the users The data would then be used to explore the socio-demographic characteristics of the
1I8etS their acceptances as well as the factors which may predict their utilization of the TPC
system The acceptance of users towards TPC was assessed through their intentions to use the
system The study also intended to set a platform for the TPC users to voice their perceptions
barriers faced when using the system and to gather the users opinions and priorities in
the current TPC implementation All these information are important in healthcare
2
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3
process and dissertation writing I will never forget the enthusiasm and kindness they have
given to me
My sincere gratitude also goes to my dearest course-mates Dr Sharifah Norashikin
binti Wan Ahmad and Dr Shahnur Begum and all other DrPH candidates of UNIMAS for
their valuable supports and helpfulness throughout the course All your opinions and
suggestions had contributed to the success of this dissertation I would like to specially
mention my appreciation for Dr Sharifah Norashikin for being such a wonderful companion
of mine when travelling throughout Sarawak for data collection
I am particularly indebted to my loving parents and family members for their love
support inspiration encouragement and good understanding of me throughout this study
period which enabled me to reach the study goal
I would like to acknowledge all of the other people who have knowingly or
unknowingly contributed towards whatever merits this research and dissertation possess I
am regretful if am not able to recall everyone as I am certainly indebted to them
Last but by no means least lowe a great debt of gratitude to all the TPC users in
Sarawak who have agreed to spare their precious time off from their working hours to
participate in this study This study will never come to a success without their willingness to
share their thoughts on TPC
Thank you very much to all
HoAiChia
viii
Pusat Khidmat Maklumat Akademik UNlVERSm MALAYSIA SARAWAK
TABLE OF CONTENTS
page
ABSTRACT i
LIST OF ABBREVIATIONS xviii
ABSTRAK iii
DECLARATION v
ACKNOWLEDGEMENTS vi
TABLE OF CONTENTS ix
LIST OF TABLES xiv
LIST OF FIGURES xvi
CHAPTER 1 INTRODUCTION LITERATURE REVIEW
11 Introduction 1
111 Teleprimary Care in Malaysia 3
12 Problem Statement 5
13 Research Questions 7
14 Research Objectives 8
141 General Objective 8
142 Specific Objectives 8
15 Research Hypotheses 9
16 Significance of the Study 10
17 Literature Review 12
171 Health Delivery System in Sarawak 12
172 The Future of Health Delivery System in Malaysia 13
ix
173 Primary Healthcare Infonnatics in Malaysia 16
174 Teleprimary Care in Sarawak 17
175 Computer Literacy among Health Staff 28
176 Implementation oflnfonnation Technology Application in Healthcare 29
177 Theories explaining Acceptance of Technology 32
178 Summary44
18 Research Framework 47
CHAPTER 2 METHODOLOGY
21 Research Design 50
22 Study Population and Setting 50
221 Population and Setting 50
222 Inclusion and Exclusion Criteria 51
23 Sample Size Calculation 54
231 Sample Size for Quantitative Study 54
232 Sample Size for Qualitative Study 55
24 Sampling Procedure 56
241 Sampling Procedure for Quantitative Study 56
242 Sampling Procedure for Qualitative Study 58
25 Instrument Development 60
251 Study Instrument 61
252 Variables 63
253 Operational Definitions 64
26 Data Collection Procedure 67
x
261 Document Analysis 67
262 Data Collection Procedure for Quantitative Phase 67
263 Data Collection Procedure for Qualitative Phase 68
27 Validity and Reliability Testing 69
271 Validation ofQuestiOlUlaire 70
272 Pilot Study for Quantitative Study 70
273 Pretesting for Qualitative Study 72
28 Data Analysis 73
281 Document Analysis on TPC Utilization 73
282 Quantitative Data Analysis 74
283 Qualitative Data Analysis 74
29 Ethical Consideration 75
210 Duration of Study 77
211 Limitations of Study 78
CHAPTER 3 RESULTS
31 Introduction80
32 Document Analysis 81
321 Utilization of Teleprimary Care according to Divisions and Centres 81
322 Utilization according to Category of Post (Jan-Jun 2012) 82
323 Summary from Document Analysis 84
33 Quantitative Analysis 85
331 Socio-Demographic Characteristics 85
332 Information related to TPC usage 89
Xl
333 Factors affecting Computer Literacy 95
334 User Acceptance ofTPC 102
335 Perceptions of Users on TPC usage 120
336 Challenges and Barriers Faced by TPC Users 129
337 Comments and Recommendations by TPC Users 131
338 Summary from Quantitative Analysis 132
34 Qualitative Analysis 133
341 Acceptance ofTPC Usage 134
342 Perceptions of Users on TPC usage 147
343 Challenges and Barriers Faced by Users 155
344 Comments and Recommendations Users Perspectives 161
345 Supervisors Perceptions of Teleprimary Care 164
346 Summary from Qualitative Analysis 171
CHAPTER 4 DISCUSSION
41 Discussion 172
42 Management Implications 189
CHAPTER 5 SUMMARY AND CONCLUSIONS
51 Summary and Conclusion 191
52 Recommendations 194
521 Recommendations for Future Study 194
522 Recommendations for Future TPC Implementation Strategies 194
xii
BIBLIOGRAPHy 199
APPENDICES
APPENDIX A - List of Teleprimary Care centres in Sarawak 216
APPENDIX B1 - Questionnaire (Quantitative Study) English Version
APPENDIX Gl - Percentage ofTPC usage based on Visit Records from TPC Database and
217
APPENDIX B2 - Questionnaire (Quantitative Study) Malay Version 223
APPENDIX C1 - Informed Consent Form (English Version) 230
APPENDIX C2 - Informed Consent Form (Malay Version) 233
APPENDIX D1 - Researchers Information Form (English Version) 237
APPENDIX D2 - Researchers Information Form (Malay Version) 239
APPENDIX E1 - Interview Guide For Clinic TPC Users 242
APPENDIX E2 - Interview Guide For Clinic Supervisors 245
APPENDIX E3 - Interview Guide For Divisional Supervisors 247
APPENDIX Fl - Approval Letter from MREC 249
APPENDIX F2 - Approval Letter from CRC 250
APPENDIX F3 - Approval Letter from Ethics Committee UNIMAS 251
Workload from HMIS January to June 2012 in Sarawak 252
APPENDIX G2 - Original Research Model Unstandardized Parameter Estimates 254
APPENDIX G3 - Original Model Standardized Parameter Estimates 255
APPENDIX G4 - Modified Model Unstandardized Parameter Estimation 256
APPENDIX G5 - Modified Model Standardized Parameter Estimates 257
APPENDIXH - Research Schedule (Gantt Chart) 258
XIII
LIST OF TABLES
page
Table 1 Internal Consistency for each Factor in Questionnaire prior to Modification 71
Table 2 Modules in Teleprimary Care selected for Different Categories of Users
Table 3 Utilization of Teleprimary Care System by Users according to Different Category
74
ofPost from January to June 2012 84
Table 4 Distribution of the Respondents by Socio-demographic Characteristics (n = 516) 88
91
Table 5 Distribution of the Respondents by Information related to Teleprimary Care usage
Table 6 Distribution of the Respondents by Computer Literacy (n=516) 92
Table 7 Percentage Distribution ofTechnical Supervisory Visits by Teleprimary Care Team
(n=516) 94
Table 8 Percentage Distribution of Administrative Supervisory Visits (n=516) 94
Table 9 Factors affecting Computer Literacy Bivariate Analysis (n=516) 98
Table 10 Faotors influencing Computer Literacy among TPC users Multinomial Logistic
Regression Analysis 101
106
Table II Distribution of Respondents by Factors affecting Acceptance to use TPC (n=516)
Table 12 Distribution of Respondents by Intention to use TPC (n=516) 108
Table 13 Pearson Correlations between Predictor and Dependent Variables (n=516) 110
Table 14 Means and Standard Deviations for Predictor Variables and Dependent Variable
for Model Testing (n=516) 112
Table 15 Factors affecting Intention to Use TPC Standard Multiple Linear Regression
Analysis (n=442) 112
xiv
Analysis of Overall Model Goodness-of-Fit for Original Research Model 114
Analysis of Overall Model Goodness-of-Fit for Modified ModeL 117
Distribution of the Respondents by Perception on TPC Usage 122
Factors affecting Preferred Method of Documentation Bivariate Analysis (n=350)
125
Factors affecting Preference between Teleprimary Care and Current Paper-based
System Binary Logistic Regression 128
Challenges and Barriers faced by TPC Users (n=516) 130
Comments to improve TPC Usage (n=516) l32
xv
LIST OF FIGURES
page
Figure 1 Network Architecture of Teleprimary Care prior to Migration ofNetwork (Adopted
from the presentation slide by Fauziah 2010) 22
Figure 2 Database Architecture of Teleprimary Care (Adopted from the presentation slide by
Figure 11 Research Framework on Acceptance of Teleprimary Care and Factors affecting it49
Figure 16 Percentage ofTPC usage based on Visit Records from TPC Database and
Rebi amp Pairan 2012) 22
Figure 3 Distributed Multi-Tier Architecture used in Teleprimary Care (Raili et al 2006) 24
Figure 4 Theory of Reasoned Action (Fishbein and Ajzen 1975) 34
Figure 5 Reciprocal Determinism in Social Cognitive Theory (Compeau amp Higgins 1995) 35
Figure 6 Theory of Planned Behaviour (Ajzen 1991 ) 36
Figure 7 Technology Acceptance Model (Davis 1989) 38
Figure 8 Extended Technology Acceptance Model (Venkatesh and Davis 2000) 39
Figure 9 The Model of PC Utilization (Thompson et al 1991) 41
Figure 10 Unified Theory of Acceptance and Use of Technology (Venkatesh et al 2003) 45
Figure 12 Sampling Frame for Quantitative Data Collection 52
Figure 13 Sampling Method for Quantitative Phase of Study 57
Figure 14 Sampling Method for Qualitative Phase of Study 60
Figure 15 Data Collection Procedure for 9uantitative Phase of Study 69
Workload from HMIS January to June 2012 in Sarawak 82
Figure 17 Computer Literacy of Respondents (n=516) 92
Figure 18 Framework on Utilization of Teleprimary Care (Original Model) 116
xvi
19 Framework on Utilization of Teleprimary Care (Original Model) (Standardized
estimates) 116
igure 20 Framework on Utilization of Teleprimary Care (Modified Model) (Unstandardized
Figure 21 Framework on Utilization of Teleprimary Care (Modified Model) (Standardized
estimates) 119
estimates) 119
Figure 22 Any Challenges or Barriers faced(n=516) 130
xvii
LIST OF ABBREVIATIONS
ACG = Adjusted Clinical Group
AMO = Assistant Medical Officer
BPKK = Bahagian Pembangunan Kesihatan Keluarga (FHDD)
CI = Confidence Interval
df = Degree of Freedom
DHO = Divisional Health Office
FHDD = Family Health Development Division
ICT = Information and Communication Technology
lOT = Innovation Diffusion Theory
IT = Information Technology
JM = Jururawat Masyarakat (Community Nurse)
JPL = Jabatan Pesaldt Luar (Out-patient Department)
Lab = Laboratory
LAN = Local Area Network
KK = Klinik Kesihatan (Health Clinic)
KKIA = Klinik Kesihatan Ibu dan Anak (Maternal and Child Health Clinic)
KKM = Kementerian Kesihatan Malaysia (Malaysian Ministry ofHealth)
MA = Medical Assistant (now known as Assistant Medical Officer)
MCH = Maternal and Child Health Clinic
MO = Medical Officer
xviii
------------ --
= Ministry of Health
= Model of Personal Computer Utilization
= Personal Computer
= Pejabat Kesihatan Bahagian (Divisional Health Office)
= Person Management System
= Senior Assistant Medical Officer
= Social Cognitive Theory
= Standard Deviation
= Structural Equation Modeling
= Sasaran Kerja Tahunan
= Technology Acceptance Model
= Extended Technology Acceptance Model
= Theory of Planned Behaviour
1PC = Teleprimary Care
TRA = Theory of Reasoned Action
DNlMAS = Universiti Malaysia Sarawak
UTAUT = Unified Theory of Acceptance and Use ofTechnology
= Very Small Aperture Terminal
WHO = World Health Organization
XIX
CHAPTERl
INTRODUCTION LITERATURE REVIEW
The use of Internet for e-health or medical infonnatics and related technologies to
deliver or improve health services and infonnation has been an emerging field in healthcare
DIII18gement worldwide (Eysenbach 2001) Within this field the World Health Organisation
(WHO) has identified Telemedicine as a possible application to strengthen health systems and
improve the quality of health care delivery in rural areas (WHO 2010) In Malaysia health
management infonnation system such as Teleprimary Care (TPC) were also expected to
show great potential in providing substantial benefits to healthcare providers healthcare
organizations and patients These electronic systems were believed to be able to facilitate the
workflow in healthcare organization improve quality of patient care and enhance patient
safety in management (Brinfo nd)
Teleprimary Care was launched in Malaysia in the year 2004 Till date there are 88
clinics and seven hospitals equipped with TPC system throughout Malaysia (BPKK 2012
BomeoPost Online 2013) TPC system has been designed to provide many functions to help
bealth managers in delivering more efficient health services and having easier monitoring of
the health status of the community However until now TPC has functioned mainly as an
electronic medical record system for storage and retrieving of patients medical data The use
ofTPC for other functions has been limited
Before the introduction of TPC system patients clinical records were documented in
writing and were subjected to errors The conventional system involved tedious paperwork
which required great amount of resources in tenns of time money and manpower both in
ilCOlrdiIll2 and data extraction Many of these surveillance data collected were left aside and
used to its fullest due to the lengthy procedures required to extract information from piles
files and documents Teleprimary Care system was then created with the hope to improve
health information system by providing more timely and accurate information to help
iWMlnvp health status monitoring With TPC system the communication between healthcare
IIImJrittft in rural areas with specialists in hospitals will also be improved as sharing of
PfOlma1tion can be done more effectively
Introduction of TPC in the healthcare system would also mean a major change from
current paper-based documentation system to a fully computerized management system
to this major change should be well expected and anticipated during its
The greatest challenge remains having all the eligible TPC users to
iftMmiddotIVrAt TPC into their routine daily work Despite the great potential in improving the
_Iitv of health care service delivery the positive impact from TPC will only be discerned if
users access and utilize the functions of TPC regularly Therefore understanding of the
1acceDtanCe of TPC among the users and factors affecting their acceptance are crucial for the
~Jaonirlg of a more efficient implementation of TPC in the country Unfortunately the
I tnl[)wlledle and empirical research on the adoption ofTPC currently is still limited in general
The purpose of this study was to gather data regarding usage of TPC system among
the users The data would then be used to explore the socio-demographic characteristics of the
1I8etS their acceptances as well as the factors which may predict their utilization of the TPC
system The acceptance of users towards TPC was assessed through their intentions to use the
system The study also intended to set a platform for the TPC users to voice their perceptions
barriers faced when using the system and to gather the users opinions and priorities in
the current TPC implementation All these information are important in healthcare
2
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3
Pusat Khidmat Maklumat Akademik UNlVERSm MALAYSIA SARAWAK
TABLE OF CONTENTS
page
ABSTRACT i
LIST OF ABBREVIATIONS xviii
ABSTRAK iii
DECLARATION v
ACKNOWLEDGEMENTS vi
TABLE OF CONTENTS ix
LIST OF TABLES xiv
LIST OF FIGURES xvi
CHAPTER 1 INTRODUCTION LITERATURE REVIEW
11 Introduction 1
111 Teleprimary Care in Malaysia 3
12 Problem Statement 5
13 Research Questions 7
14 Research Objectives 8
141 General Objective 8
142 Specific Objectives 8
15 Research Hypotheses 9
16 Significance of the Study 10
17 Literature Review 12
171 Health Delivery System in Sarawak 12
172 The Future of Health Delivery System in Malaysia 13
ix
173 Primary Healthcare Infonnatics in Malaysia 16
174 Teleprimary Care in Sarawak 17
175 Computer Literacy among Health Staff 28
176 Implementation oflnfonnation Technology Application in Healthcare 29
177 Theories explaining Acceptance of Technology 32
178 Summary44
18 Research Framework 47
CHAPTER 2 METHODOLOGY
21 Research Design 50
22 Study Population and Setting 50
221 Population and Setting 50
222 Inclusion and Exclusion Criteria 51
23 Sample Size Calculation 54
231 Sample Size for Quantitative Study 54
232 Sample Size for Qualitative Study 55
24 Sampling Procedure 56
241 Sampling Procedure for Quantitative Study 56
242 Sampling Procedure for Qualitative Study 58
25 Instrument Development 60
251 Study Instrument 61
252 Variables 63
253 Operational Definitions 64
26 Data Collection Procedure 67
x
261 Document Analysis 67
262 Data Collection Procedure for Quantitative Phase 67
263 Data Collection Procedure for Qualitative Phase 68
27 Validity and Reliability Testing 69
271 Validation ofQuestiOlUlaire 70
272 Pilot Study for Quantitative Study 70
273 Pretesting for Qualitative Study 72
28 Data Analysis 73
281 Document Analysis on TPC Utilization 73
282 Quantitative Data Analysis 74
283 Qualitative Data Analysis 74
29 Ethical Consideration 75
210 Duration of Study 77
211 Limitations of Study 78
CHAPTER 3 RESULTS
31 Introduction80
32 Document Analysis 81
321 Utilization of Teleprimary Care according to Divisions and Centres 81
322 Utilization according to Category of Post (Jan-Jun 2012) 82
323 Summary from Document Analysis 84
33 Quantitative Analysis 85
331 Socio-Demographic Characteristics 85
332 Information related to TPC usage 89
Xl
333 Factors affecting Computer Literacy 95
334 User Acceptance ofTPC 102
335 Perceptions of Users on TPC usage 120
336 Challenges and Barriers Faced by TPC Users 129
337 Comments and Recommendations by TPC Users 131
338 Summary from Quantitative Analysis 132
34 Qualitative Analysis 133
341 Acceptance ofTPC Usage 134
342 Perceptions of Users on TPC usage 147
343 Challenges and Barriers Faced by Users 155
344 Comments and Recommendations Users Perspectives 161
345 Supervisors Perceptions of Teleprimary Care 164
346 Summary from Qualitative Analysis 171
CHAPTER 4 DISCUSSION
41 Discussion 172
42 Management Implications 189
CHAPTER 5 SUMMARY AND CONCLUSIONS
51 Summary and Conclusion 191
52 Recommendations 194
521 Recommendations for Future Study 194
522 Recommendations for Future TPC Implementation Strategies 194
xii
BIBLIOGRAPHy 199
APPENDICES
APPENDIX A - List of Teleprimary Care centres in Sarawak 216
APPENDIX B1 - Questionnaire (Quantitative Study) English Version
APPENDIX Gl - Percentage ofTPC usage based on Visit Records from TPC Database and
217
APPENDIX B2 - Questionnaire (Quantitative Study) Malay Version 223
APPENDIX C1 - Informed Consent Form (English Version) 230
APPENDIX C2 - Informed Consent Form (Malay Version) 233
APPENDIX D1 - Researchers Information Form (English Version) 237
APPENDIX D2 - Researchers Information Form (Malay Version) 239
APPENDIX E1 - Interview Guide For Clinic TPC Users 242
APPENDIX E2 - Interview Guide For Clinic Supervisors 245
APPENDIX E3 - Interview Guide For Divisional Supervisors 247
APPENDIX Fl - Approval Letter from MREC 249
APPENDIX F2 - Approval Letter from CRC 250
APPENDIX F3 - Approval Letter from Ethics Committee UNIMAS 251
Workload from HMIS January to June 2012 in Sarawak 252
APPENDIX G2 - Original Research Model Unstandardized Parameter Estimates 254
APPENDIX G3 - Original Model Standardized Parameter Estimates 255
APPENDIX G4 - Modified Model Unstandardized Parameter Estimation 256
APPENDIX G5 - Modified Model Standardized Parameter Estimates 257
APPENDIXH - Research Schedule (Gantt Chart) 258
XIII
LIST OF TABLES
page
Table 1 Internal Consistency for each Factor in Questionnaire prior to Modification 71
Table 2 Modules in Teleprimary Care selected for Different Categories of Users
Table 3 Utilization of Teleprimary Care System by Users according to Different Category
74
ofPost from January to June 2012 84
Table 4 Distribution of the Respondents by Socio-demographic Characteristics (n = 516) 88
91
Table 5 Distribution of the Respondents by Information related to Teleprimary Care usage
Table 6 Distribution of the Respondents by Computer Literacy (n=516) 92
Table 7 Percentage Distribution ofTechnical Supervisory Visits by Teleprimary Care Team
(n=516) 94
Table 8 Percentage Distribution of Administrative Supervisory Visits (n=516) 94
Table 9 Factors affecting Computer Literacy Bivariate Analysis (n=516) 98
Table 10 Faotors influencing Computer Literacy among TPC users Multinomial Logistic
Regression Analysis 101
106
Table II Distribution of Respondents by Factors affecting Acceptance to use TPC (n=516)
Table 12 Distribution of Respondents by Intention to use TPC (n=516) 108
Table 13 Pearson Correlations between Predictor and Dependent Variables (n=516) 110
Table 14 Means and Standard Deviations for Predictor Variables and Dependent Variable
for Model Testing (n=516) 112
Table 15 Factors affecting Intention to Use TPC Standard Multiple Linear Regression
Analysis (n=442) 112
xiv
Analysis of Overall Model Goodness-of-Fit for Original Research Model 114
Analysis of Overall Model Goodness-of-Fit for Modified ModeL 117
Distribution of the Respondents by Perception on TPC Usage 122
Factors affecting Preferred Method of Documentation Bivariate Analysis (n=350)
125
Factors affecting Preference between Teleprimary Care and Current Paper-based
System Binary Logistic Regression 128
Challenges and Barriers faced by TPC Users (n=516) 130
Comments to improve TPC Usage (n=516) l32
xv
LIST OF FIGURES
page
Figure 1 Network Architecture of Teleprimary Care prior to Migration ofNetwork (Adopted
from the presentation slide by Fauziah 2010) 22
Figure 2 Database Architecture of Teleprimary Care (Adopted from the presentation slide by
Figure 11 Research Framework on Acceptance of Teleprimary Care and Factors affecting it49
Figure 16 Percentage ofTPC usage based on Visit Records from TPC Database and
Rebi amp Pairan 2012) 22
Figure 3 Distributed Multi-Tier Architecture used in Teleprimary Care (Raili et al 2006) 24
Figure 4 Theory of Reasoned Action (Fishbein and Ajzen 1975) 34
Figure 5 Reciprocal Determinism in Social Cognitive Theory (Compeau amp Higgins 1995) 35
Figure 6 Theory of Planned Behaviour (Ajzen 1991 ) 36
Figure 7 Technology Acceptance Model (Davis 1989) 38
Figure 8 Extended Technology Acceptance Model (Venkatesh and Davis 2000) 39
Figure 9 The Model of PC Utilization (Thompson et al 1991) 41
Figure 10 Unified Theory of Acceptance and Use of Technology (Venkatesh et al 2003) 45
Figure 12 Sampling Frame for Quantitative Data Collection 52
Figure 13 Sampling Method for Quantitative Phase of Study 57
Figure 14 Sampling Method for Qualitative Phase of Study 60
Figure 15 Data Collection Procedure for 9uantitative Phase of Study 69
Workload from HMIS January to June 2012 in Sarawak 82
Figure 17 Computer Literacy of Respondents (n=516) 92
Figure 18 Framework on Utilization of Teleprimary Care (Original Model) 116
xvi
19 Framework on Utilization of Teleprimary Care (Original Model) (Standardized
estimates) 116
igure 20 Framework on Utilization of Teleprimary Care (Modified Model) (Unstandardized
Figure 21 Framework on Utilization of Teleprimary Care (Modified Model) (Standardized
estimates) 119
estimates) 119
Figure 22 Any Challenges or Barriers faced(n=516) 130
xvii
LIST OF ABBREVIATIONS
ACG = Adjusted Clinical Group
AMO = Assistant Medical Officer
BPKK = Bahagian Pembangunan Kesihatan Keluarga (FHDD)
CI = Confidence Interval
df = Degree of Freedom
DHO = Divisional Health Office
FHDD = Family Health Development Division
ICT = Information and Communication Technology
lOT = Innovation Diffusion Theory
IT = Information Technology
JM = Jururawat Masyarakat (Community Nurse)
JPL = Jabatan Pesaldt Luar (Out-patient Department)
Lab = Laboratory
LAN = Local Area Network
KK = Klinik Kesihatan (Health Clinic)
KKIA = Klinik Kesihatan Ibu dan Anak (Maternal and Child Health Clinic)
KKM = Kementerian Kesihatan Malaysia (Malaysian Ministry ofHealth)
MA = Medical Assistant (now known as Assistant Medical Officer)
MCH = Maternal and Child Health Clinic
MO = Medical Officer
xviii
------------ --
= Ministry of Health
= Model of Personal Computer Utilization
= Personal Computer
= Pejabat Kesihatan Bahagian (Divisional Health Office)
= Person Management System
= Senior Assistant Medical Officer
= Social Cognitive Theory
= Standard Deviation
= Structural Equation Modeling
= Sasaran Kerja Tahunan
= Technology Acceptance Model
= Extended Technology Acceptance Model
= Theory of Planned Behaviour
1PC = Teleprimary Care
TRA = Theory of Reasoned Action
DNlMAS = Universiti Malaysia Sarawak
UTAUT = Unified Theory of Acceptance and Use ofTechnology
= Very Small Aperture Terminal
WHO = World Health Organization
XIX
CHAPTERl
INTRODUCTION LITERATURE REVIEW
The use of Internet for e-health or medical infonnatics and related technologies to
deliver or improve health services and infonnation has been an emerging field in healthcare
DIII18gement worldwide (Eysenbach 2001) Within this field the World Health Organisation
(WHO) has identified Telemedicine as a possible application to strengthen health systems and
improve the quality of health care delivery in rural areas (WHO 2010) In Malaysia health
management infonnation system such as Teleprimary Care (TPC) were also expected to
show great potential in providing substantial benefits to healthcare providers healthcare
organizations and patients These electronic systems were believed to be able to facilitate the
workflow in healthcare organization improve quality of patient care and enhance patient
safety in management (Brinfo nd)
Teleprimary Care was launched in Malaysia in the year 2004 Till date there are 88
clinics and seven hospitals equipped with TPC system throughout Malaysia (BPKK 2012
BomeoPost Online 2013) TPC system has been designed to provide many functions to help
bealth managers in delivering more efficient health services and having easier monitoring of
the health status of the community However until now TPC has functioned mainly as an
electronic medical record system for storage and retrieving of patients medical data The use
ofTPC for other functions has been limited
Before the introduction of TPC system patients clinical records were documented in
writing and were subjected to errors The conventional system involved tedious paperwork
which required great amount of resources in tenns of time money and manpower both in
ilCOlrdiIll2 and data extraction Many of these surveillance data collected were left aside and
used to its fullest due to the lengthy procedures required to extract information from piles
files and documents Teleprimary Care system was then created with the hope to improve
health information system by providing more timely and accurate information to help
iWMlnvp health status monitoring With TPC system the communication between healthcare
IIImJrittft in rural areas with specialists in hospitals will also be improved as sharing of
PfOlma1tion can be done more effectively
Introduction of TPC in the healthcare system would also mean a major change from
current paper-based documentation system to a fully computerized management system
to this major change should be well expected and anticipated during its
The greatest challenge remains having all the eligible TPC users to
iftMmiddotIVrAt TPC into their routine daily work Despite the great potential in improving the
_Iitv of health care service delivery the positive impact from TPC will only be discerned if
users access and utilize the functions of TPC regularly Therefore understanding of the
1acceDtanCe of TPC among the users and factors affecting their acceptance are crucial for the
~Jaonirlg of a more efficient implementation of TPC in the country Unfortunately the
I tnl[)wlledle and empirical research on the adoption ofTPC currently is still limited in general
The purpose of this study was to gather data regarding usage of TPC system among
the users The data would then be used to explore the socio-demographic characteristics of the
1I8etS their acceptances as well as the factors which may predict their utilization of the TPC
system The acceptance of users towards TPC was assessed through their intentions to use the
system The study also intended to set a platform for the TPC users to voice their perceptions
barriers faced when using the system and to gather the users opinions and priorities in
the current TPC implementation All these information are important in healthcare
2
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3
173 Primary Healthcare Infonnatics in Malaysia 16
174 Teleprimary Care in Sarawak 17
175 Computer Literacy among Health Staff 28
176 Implementation oflnfonnation Technology Application in Healthcare 29
177 Theories explaining Acceptance of Technology 32
178 Summary44
18 Research Framework 47
CHAPTER 2 METHODOLOGY
21 Research Design 50
22 Study Population and Setting 50
221 Population and Setting 50
222 Inclusion and Exclusion Criteria 51
23 Sample Size Calculation 54
231 Sample Size for Quantitative Study 54
232 Sample Size for Qualitative Study 55
24 Sampling Procedure 56
241 Sampling Procedure for Quantitative Study 56
242 Sampling Procedure for Qualitative Study 58
25 Instrument Development 60
251 Study Instrument 61
252 Variables 63
253 Operational Definitions 64
26 Data Collection Procedure 67
x
261 Document Analysis 67
262 Data Collection Procedure for Quantitative Phase 67
263 Data Collection Procedure for Qualitative Phase 68
27 Validity and Reliability Testing 69
271 Validation ofQuestiOlUlaire 70
272 Pilot Study for Quantitative Study 70
273 Pretesting for Qualitative Study 72
28 Data Analysis 73
281 Document Analysis on TPC Utilization 73
282 Quantitative Data Analysis 74
283 Qualitative Data Analysis 74
29 Ethical Consideration 75
210 Duration of Study 77
211 Limitations of Study 78
CHAPTER 3 RESULTS
31 Introduction80
32 Document Analysis 81
321 Utilization of Teleprimary Care according to Divisions and Centres 81
322 Utilization according to Category of Post (Jan-Jun 2012) 82
323 Summary from Document Analysis 84
33 Quantitative Analysis 85
331 Socio-Demographic Characteristics 85
332 Information related to TPC usage 89
Xl
333 Factors affecting Computer Literacy 95
334 User Acceptance ofTPC 102
335 Perceptions of Users on TPC usage 120
336 Challenges and Barriers Faced by TPC Users 129
337 Comments and Recommendations by TPC Users 131
338 Summary from Quantitative Analysis 132
34 Qualitative Analysis 133
341 Acceptance ofTPC Usage 134
342 Perceptions of Users on TPC usage 147
343 Challenges and Barriers Faced by Users 155
344 Comments and Recommendations Users Perspectives 161
345 Supervisors Perceptions of Teleprimary Care 164
346 Summary from Qualitative Analysis 171
CHAPTER 4 DISCUSSION
41 Discussion 172
42 Management Implications 189
CHAPTER 5 SUMMARY AND CONCLUSIONS
51 Summary and Conclusion 191
52 Recommendations 194
521 Recommendations for Future Study 194
522 Recommendations for Future TPC Implementation Strategies 194
xii
BIBLIOGRAPHy 199
APPENDICES
APPENDIX A - List of Teleprimary Care centres in Sarawak 216
APPENDIX B1 - Questionnaire (Quantitative Study) English Version
APPENDIX Gl - Percentage ofTPC usage based on Visit Records from TPC Database and
217
APPENDIX B2 - Questionnaire (Quantitative Study) Malay Version 223
APPENDIX C1 - Informed Consent Form (English Version) 230
APPENDIX C2 - Informed Consent Form (Malay Version) 233
APPENDIX D1 - Researchers Information Form (English Version) 237
APPENDIX D2 - Researchers Information Form (Malay Version) 239
APPENDIX E1 - Interview Guide For Clinic TPC Users 242
APPENDIX E2 - Interview Guide For Clinic Supervisors 245
APPENDIX E3 - Interview Guide For Divisional Supervisors 247
APPENDIX Fl - Approval Letter from MREC 249
APPENDIX F2 - Approval Letter from CRC 250
APPENDIX F3 - Approval Letter from Ethics Committee UNIMAS 251
Workload from HMIS January to June 2012 in Sarawak 252
APPENDIX G2 - Original Research Model Unstandardized Parameter Estimates 254
APPENDIX G3 - Original Model Standardized Parameter Estimates 255
APPENDIX G4 - Modified Model Unstandardized Parameter Estimation 256
APPENDIX G5 - Modified Model Standardized Parameter Estimates 257
APPENDIXH - Research Schedule (Gantt Chart) 258
XIII
LIST OF TABLES
page
Table 1 Internal Consistency for each Factor in Questionnaire prior to Modification 71
Table 2 Modules in Teleprimary Care selected for Different Categories of Users
Table 3 Utilization of Teleprimary Care System by Users according to Different Category
74
ofPost from January to June 2012 84
Table 4 Distribution of the Respondents by Socio-demographic Characteristics (n = 516) 88
91
Table 5 Distribution of the Respondents by Information related to Teleprimary Care usage
Table 6 Distribution of the Respondents by Computer Literacy (n=516) 92
Table 7 Percentage Distribution ofTechnical Supervisory Visits by Teleprimary Care Team
(n=516) 94
Table 8 Percentage Distribution of Administrative Supervisory Visits (n=516) 94
Table 9 Factors affecting Computer Literacy Bivariate Analysis (n=516) 98
Table 10 Faotors influencing Computer Literacy among TPC users Multinomial Logistic
Regression Analysis 101
106
Table II Distribution of Respondents by Factors affecting Acceptance to use TPC (n=516)
Table 12 Distribution of Respondents by Intention to use TPC (n=516) 108
Table 13 Pearson Correlations between Predictor and Dependent Variables (n=516) 110
Table 14 Means and Standard Deviations for Predictor Variables and Dependent Variable
for Model Testing (n=516) 112
Table 15 Factors affecting Intention to Use TPC Standard Multiple Linear Regression
Analysis (n=442) 112
xiv
Analysis of Overall Model Goodness-of-Fit for Original Research Model 114
Analysis of Overall Model Goodness-of-Fit for Modified ModeL 117
Distribution of the Respondents by Perception on TPC Usage 122
Factors affecting Preferred Method of Documentation Bivariate Analysis (n=350)
125
Factors affecting Preference between Teleprimary Care and Current Paper-based
System Binary Logistic Regression 128
Challenges and Barriers faced by TPC Users (n=516) 130
Comments to improve TPC Usage (n=516) l32
xv
LIST OF FIGURES
page
Figure 1 Network Architecture of Teleprimary Care prior to Migration ofNetwork (Adopted
from the presentation slide by Fauziah 2010) 22
Figure 2 Database Architecture of Teleprimary Care (Adopted from the presentation slide by
Figure 11 Research Framework on Acceptance of Teleprimary Care and Factors affecting it49
Figure 16 Percentage ofTPC usage based on Visit Records from TPC Database and
Rebi amp Pairan 2012) 22
Figure 3 Distributed Multi-Tier Architecture used in Teleprimary Care (Raili et al 2006) 24
Figure 4 Theory of Reasoned Action (Fishbein and Ajzen 1975) 34
Figure 5 Reciprocal Determinism in Social Cognitive Theory (Compeau amp Higgins 1995) 35
Figure 6 Theory of Planned Behaviour (Ajzen 1991 ) 36
Figure 7 Technology Acceptance Model (Davis 1989) 38
Figure 8 Extended Technology Acceptance Model (Venkatesh and Davis 2000) 39
Figure 9 The Model of PC Utilization (Thompson et al 1991) 41
Figure 10 Unified Theory of Acceptance and Use of Technology (Venkatesh et al 2003) 45
Figure 12 Sampling Frame for Quantitative Data Collection 52
Figure 13 Sampling Method for Quantitative Phase of Study 57
Figure 14 Sampling Method for Qualitative Phase of Study 60
Figure 15 Data Collection Procedure for 9uantitative Phase of Study 69
Workload from HMIS January to June 2012 in Sarawak 82
Figure 17 Computer Literacy of Respondents (n=516) 92
Figure 18 Framework on Utilization of Teleprimary Care (Original Model) 116
xvi
19 Framework on Utilization of Teleprimary Care (Original Model) (Standardized
estimates) 116
igure 20 Framework on Utilization of Teleprimary Care (Modified Model) (Unstandardized
Figure 21 Framework on Utilization of Teleprimary Care (Modified Model) (Standardized
estimates) 119
estimates) 119
Figure 22 Any Challenges or Barriers faced(n=516) 130
xvii
LIST OF ABBREVIATIONS
ACG = Adjusted Clinical Group
AMO = Assistant Medical Officer
BPKK = Bahagian Pembangunan Kesihatan Keluarga (FHDD)
CI = Confidence Interval
df = Degree of Freedom
DHO = Divisional Health Office
FHDD = Family Health Development Division
ICT = Information and Communication Technology
lOT = Innovation Diffusion Theory
IT = Information Technology
JM = Jururawat Masyarakat (Community Nurse)
JPL = Jabatan Pesaldt Luar (Out-patient Department)
Lab = Laboratory
LAN = Local Area Network
KK = Klinik Kesihatan (Health Clinic)
KKIA = Klinik Kesihatan Ibu dan Anak (Maternal and Child Health Clinic)
KKM = Kementerian Kesihatan Malaysia (Malaysian Ministry ofHealth)
MA = Medical Assistant (now known as Assistant Medical Officer)
MCH = Maternal and Child Health Clinic
MO = Medical Officer
xviii
------------ --
= Ministry of Health
= Model of Personal Computer Utilization
= Personal Computer
= Pejabat Kesihatan Bahagian (Divisional Health Office)
= Person Management System
= Senior Assistant Medical Officer
= Social Cognitive Theory
= Standard Deviation
= Structural Equation Modeling
= Sasaran Kerja Tahunan
= Technology Acceptance Model
= Extended Technology Acceptance Model
= Theory of Planned Behaviour
1PC = Teleprimary Care
TRA = Theory of Reasoned Action
DNlMAS = Universiti Malaysia Sarawak
UTAUT = Unified Theory of Acceptance and Use ofTechnology
= Very Small Aperture Terminal
WHO = World Health Organization
XIX
CHAPTERl
INTRODUCTION LITERATURE REVIEW
The use of Internet for e-health or medical infonnatics and related technologies to
deliver or improve health services and infonnation has been an emerging field in healthcare
DIII18gement worldwide (Eysenbach 2001) Within this field the World Health Organisation
(WHO) has identified Telemedicine as a possible application to strengthen health systems and
improve the quality of health care delivery in rural areas (WHO 2010) In Malaysia health
management infonnation system such as Teleprimary Care (TPC) were also expected to
show great potential in providing substantial benefits to healthcare providers healthcare
organizations and patients These electronic systems were believed to be able to facilitate the
workflow in healthcare organization improve quality of patient care and enhance patient
safety in management (Brinfo nd)
Teleprimary Care was launched in Malaysia in the year 2004 Till date there are 88
clinics and seven hospitals equipped with TPC system throughout Malaysia (BPKK 2012
BomeoPost Online 2013) TPC system has been designed to provide many functions to help
bealth managers in delivering more efficient health services and having easier monitoring of
the health status of the community However until now TPC has functioned mainly as an
electronic medical record system for storage and retrieving of patients medical data The use
ofTPC for other functions has been limited
Before the introduction of TPC system patients clinical records were documented in
writing and were subjected to errors The conventional system involved tedious paperwork
which required great amount of resources in tenns of time money and manpower both in
ilCOlrdiIll2 and data extraction Many of these surveillance data collected were left aside and
used to its fullest due to the lengthy procedures required to extract information from piles
files and documents Teleprimary Care system was then created with the hope to improve
health information system by providing more timely and accurate information to help
iWMlnvp health status monitoring With TPC system the communication between healthcare
IIImJrittft in rural areas with specialists in hospitals will also be improved as sharing of
PfOlma1tion can be done more effectively
Introduction of TPC in the healthcare system would also mean a major change from
current paper-based documentation system to a fully computerized management system
to this major change should be well expected and anticipated during its
The greatest challenge remains having all the eligible TPC users to
iftMmiddotIVrAt TPC into their routine daily work Despite the great potential in improving the
_Iitv of health care service delivery the positive impact from TPC will only be discerned if
users access and utilize the functions of TPC regularly Therefore understanding of the
1acceDtanCe of TPC among the users and factors affecting their acceptance are crucial for the
~Jaonirlg of a more efficient implementation of TPC in the country Unfortunately the
I tnl[)wlledle and empirical research on the adoption ofTPC currently is still limited in general
The purpose of this study was to gather data regarding usage of TPC system among
the users The data would then be used to explore the socio-demographic characteristics of the
1I8etS their acceptances as well as the factors which may predict their utilization of the TPC
system The acceptance of users towards TPC was assessed through their intentions to use the
system The study also intended to set a platform for the TPC users to voice their perceptions
barriers faced when using the system and to gather the users opinions and priorities in
the current TPC implementation All these information are important in healthcare
2
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3
261 Document Analysis 67
262 Data Collection Procedure for Quantitative Phase 67
263 Data Collection Procedure for Qualitative Phase 68
27 Validity and Reliability Testing 69
271 Validation ofQuestiOlUlaire 70
272 Pilot Study for Quantitative Study 70
273 Pretesting for Qualitative Study 72
28 Data Analysis 73
281 Document Analysis on TPC Utilization 73
282 Quantitative Data Analysis 74
283 Qualitative Data Analysis 74
29 Ethical Consideration 75
210 Duration of Study 77
211 Limitations of Study 78
CHAPTER 3 RESULTS
31 Introduction80
32 Document Analysis 81
321 Utilization of Teleprimary Care according to Divisions and Centres 81
322 Utilization according to Category of Post (Jan-Jun 2012) 82
323 Summary from Document Analysis 84
33 Quantitative Analysis 85
331 Socio-Demographic Characteristics 85
332 Information related to TPC usage 89
Xl
333 Factors affecting Computer Literacy 95
334 User Acceptance ofTPC 102
335 Perceptions of Users on TPC usage 120
336 Challenges and Barriers Faced by TPC Users 129
337 Comments and Recommendations by TPC Users 131
338 Summary from Quantitative Analysis 132
34 Qualitative Analysis 133
341 Acceptance ofTPC Usage 134
342 Perceptions of Users on TPC usage 147
343 Challenges and Barriers Faced by Users 155
344 Comments and Recommendations Users Perspectives 161
345 Supervisors Perceptions of Teleprimary Care 164
346 Summary from Qualitative Analysis 171
CHAPTER 4 DISCUSSION
41 Discussion 172
42 Management Implications 189
CHAPTER 5 SUMMARY AND CONCLUSIONS
51 Summary and Conclusion 191
52 Recommendations 194
521 Recommendations for Future Study 194
522 Recommendations for Future TPC Implementation Strategies 194
xii
BIBLIOGRAPHy 199
APPENDICES
APPENDIX A - List of Teleprimary Care centres in Sarawak 216
APPENDIX B1 - Questionnaire (Quantitative Study) English Version
APPENDIX Gl - Percentage ofTPC usage based on Visit Records from TPC Database and
217
APPENDIX B2 - Questionnaire (Quantitative Study) Malay Version 223
APPENDIX C1 - Informed Consent Form (English Version) 230
APPENDIX C2 - Informed Consent Form (Malay Version) 233
APPENDIX D1 - Researchers Information Form (English Version) 237
APPENDIX D2 - Researchers Information Form (Malay Version) 239
APPENDIX E1 - Interview Guide For Clinic TPC Users 242
APPENDIX E2 - Interview Guide For Clinic Supervisors 245
APPENDIX E3 - Interview Guide For Divisional Supervisors 247
APPENDIX Fl - Approval Letter from MREC 249
APPENDIX F2 - Approval Letter from CRC 250
APPENDIX F3 - Approval Letter from Ethics Committee UNIMAS 251
Workload from HMIS January to June 2012 in Sarawak 252
APPENDIX G2 - Original Research Model Unstandardized Parameter Estimates 254
APPENDIX G3 - Original Model Standardized Parameter Estimates 255
APPENDIX G4 - Modified Model Unstandardized Parameter Estimation 256
APPENDIX G5 - Modified Model Standardized Parameter Estimates 257
APPENDIXH - Research Schedule (Gantt Chart) 258
XIII
LIST OF TABLES
page
Table 1 Internal Consistency for each Factor in Questionnaire prior to Modification 71
Table 2 Modules in Teleprimary Care selected for Different Categories of Users
Table 3 Utilization of Teleprimary Care System by Users according to Different Category
74
ofPost from January to June 2012 84
Table 4 Distribution of the Respondents by Socio-demographic Characteristics (n = 516) 88
91
Table 5 Distribution of the Respondents by Information related to Teleprimary Care usage
Table 6 Distribution of the Respondents by Computer Literacy (n=516) 92
Table 7 Percentage Distribution ofTechnical Supervisory Visits by Teleprimary Care Team
(n=516) 94
Table 8 Percentage Distribution of Administrative Supervisory Visits (n=516) 94
Table 9 Factors affecting Computer Literacy Bivariate Analysis (n=516) 98
Table 10 Faotors influencing Computer Literacy among TPC users Multinomial Logistic
Regression Analysis 101
106
Table II Distribution of Respondents by Factors affecting Acceptance to use TPC (n=516)
Table 12 Distribution of Respondents by Intention to use TPC (n=516) 108
Table 13 Pearson Correlations between Predictor and Dependent Variables (n=516) 110
Table 14 Means and Standard Deviations for Predictor Variables and Dependent Variable
for Model Testing (n=516) 112
Table 15 Factors affecting Intention to Use TPC Standard Multiple Linear Regression
Analysis (n=442) 112
xiv
Analysis of Overall Model Goodness-of-Fit for Original Research Model 114
Analysis of Overall Model Goodness-of-Fit for Modified ModeL 117
Distribution of the Respondents by Perception on TPC Usage 122
Factors affecting Preferred Method of Documentation Bivariate Analysis (n=350)
125
Factors affecting Preference between Teleprimary Care and Current Paper-based
System Binary Logistic Regression 128
Challenges and Barriers faced by TPC Users (n=516) 130
Comments to improve TPC Usage (n=516) l32
xv
LIST OF FIGURES
page
Figure 1 Network Architecture of Teleprimary Care prior to Migration ofNetwork (Adopted
from the presentation slide by Fauziah 2010) 22
Figure 2 Database Architecture of Teleprimary Care (Adopted from the presentation slide by
Figure 11 Research Framework on Acceptance of Teleprimary Care and Factors affecting it49
Figure 16 Percentage ofTPC usage based on Visit Records from TPC Database and
Rebi amp Pairan 2012) 22
Figure 3 Distributed Multi-Tier Architecture used in Teleprimary Care (Raili et al 2006) 24
Figure 4 Theory of Reasoned Action (Fishbein and Ajzen 1975) 34
Figure 5 Reciprocal Determinism in Social Cognitive Theory (Compeau amp Higgins 1995) 35
Figure 6 Theory of Planned Behaviour (Ajzen 1991 ) 36
Figure 7 Technology Acceptance Model (Davis 1989) 38
Figure 8 Extended Technology Acceptance Model (Venkatesh and Davis 2000) 39
Figure 9 The Model of PC Utilization (Thompson et al 1991) 41
Figure 10 Unified Theory of Acceptance and Use of Technology (Venkatesh et al 2003) 45
Figure 12 Sampling Frame for Quantitative Data Collection 52
Figure 13 Sampling Method for Quantitative Phase of Study 57
Figure 14 Sampling Method for Qualitative Phase of Study 60
Figure 15 Data Collection Procedure for 9uantitative Phase of Study 69
Workload from HMIS January to June 2012 in Sarawak 82
Figure 17 Computer Literacy of Respondents (n=516) 92
Figure 18 Framework on Utilization of Teleprimary Care (Original Model) 116
xvi
19 Framework on Utilization of Teleprimary Care (Original Model) (Standardized
estimates) 116
igure 20 Framework on Utilization of Teleprimary Care (Modified Model) (Unstandardized
Figure 21 Framework on Utilization of Teleprimary Care (Modified Model) (Standardized
estimates) 119
estimates) 119
Figure 22 Any Challenges or Barriers faced(n=516) 130
xvii
LIST OF ABBREVIATIONS
ACG = Adjusted Clinical Group
AMO = Assistant Medical Officer
BPKK = Bahagian Pembangunan Kesihatan Keluarga (FHDD)
CI = Confidence Interval
df = Degree of Freedom
DHO = Divisional Health Office
FHDD = Family Health Development Division
ICT = Information and Communication Technology
lOT = Innovation Diffusion Theory
IT = Information Technology
JM = Jururawat Masyarakat (Community Nurse)
JPL = Jabatan Pesaldt Luar (Out-patient Department)
Lab = Laboratory
LAN = Local Area Network
KK = Klinik Kesihatan (Health Clinic)
KKIA = Klinik Kesihatan Ibu dan Anak (Maternal and Child Health Clinic)
KKM = Kementerian Kesihatan Malaysia (Malaysian Ministry ofHealth)
MA = Medical Assistant (now known as Assistant Medical Officer)
MCH = Maternal and Child Health Clinic
MO = Medical Officer
xviii
------------ --
= Ministry of Health
= Model of Personal Computer Utilization
= Personal Computer
= Pejabat Kesihatan Bahagian (Divisional Health Office)
= Person Management System
= Senior Assistant Medical Officer
= Social Cognitive Theory
= Standard Deviation
= Structural Equation Modeling
= Sasaran Kerja Tahunan
= Technology Acceptance Model
= Extended Technology Acceptance Model
= Theory of Planned Behaviour
1PC = Teleprimary Care
TRA = Theory of Reasoned Action
DNlMAS = Universiti Malaysia Sarawak
UTAUT = Unified Theory of Acceptance and Use ofTechnology
= Very Small Aperture Terminal
WHO = World Health Organization
XIX
CHAPTERl
INTRODUCTION LITERATURE REVIEW
The use of Internet for e-health or medical infonnatics and related technologies to
deliver or improve health services and infonnation has been an emerging field in healthcare
DIII18gement worldwide (Eysenbach 2001) Within this field the World Health Organisation
(WHO) has identified Telemedicine as a possible application to strengthen health systems and
improve the quality of health care delivery in rural areas (WHO 2010) In Malaysia health
management infonnation system such as Teleprimary Care (TPC) were also expected to
show great potential in providing substantial benefits to healthcare providers healthcare
organizations and patients These electronic systems were believed to be able to facilitate the
workflow in healthcare organization improve quality of patient care and enhance patient
safety in management (Brinfo nd)
Teleprimary Care was launched in Malaysia in the year 2004 Till date there are 88
clinics and seven hospitals equipped with TPC system throughout Malaysia (BPKK 2012
BomeoPost Online 2013) TPC system has been designed to provide many functions to help
bealth managers in delivering more efficient health services and having easier monitoring of
the health status of the community However until now TPC has functioned mainly as an
electronic medical record system for storage and retrieving of patients medical data The use
ofTPC for other functions has been limited
Before the introduction of TPC system patients clinical records were documented in
writing and were subjected to errors The conventional system involved tedious paperwork
which required great amount of resources in tenns of time money and manpower both in
ilCOlrdiIll2 and data extraction Many of these surveillance data collected were left aside and
used to its fullest due to the lengthy procedures required to extract information from piles
files and documents Teleprimary Care system was then created with the hope to improve
health information system by providing more timely and accurate information to help
iWMlnvp health status monitoring With TPC system the communication between healthcare
IIImJrittft in rural areas with specialists in hospitals will also be improved as sharing of
PfOlma1tion can be done more effectively
Introduction of TPC in the healthcare system would also mean a major change from
current paper-based documentation system to a fully computerized management system
to this major change should be well expected and anticipated during its
The greatest challenge remains having all the eligible TPC users to
iftMmiddotIVrAt TPC into their routine daily work Despite the great potential in improving the
_Iitv of health care service delivery the positive impact from TPC will only be discerned if
users access and utilize the functions of TPC regularly Therefore understanding of the
1acceDtanCe of TPC among the users and factors affecting their acceptance are crucial for the
~Jaonirlg of a more efficient implementation of TPC in the country Unfortunately the
I tnl[)wlledle and empirical research on the adoption ofTPC currently is still limited in general
The purpose of this study was to gather data regarding usage of TPC system among
the users The data would then be used to explore the socio-demographic characteristics of the
1I8etS their acceptances as well as the factors which may predict their utilization of the TPC
system The acceptance of users towards TPC was assessed through their intentions to use the
system The study also intended to set a platform for the TPC users to voice their perceptions
barriers faced when using the system and to gather the users opinions and priorities in
the current TPC implementation All these information are important in healthcare
2
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3
333 Factors affecting Computer Literacy 95
334 User Acceptance ofTPC 102
335 Perceptions of Users on TPC usage 120
336 Challenges and Barriers Faced by TPC Users 129
337 Comments and Recommendations by TPC Users 131
338 Summary from Quantitative Analysis 132
34 Qualitative Analysis 133
341 Acceptance ofTPC Usage 134
342 Perceptions of Users on TPC usage 147
343 Challenges and Barriers Faced by Users 155
344 Comments and Recommendations Users Perspectives 161
345 Supervisors Perceptions of Teleprimary Care 164
346 Summary from Qualitative Analysis 171
CHAPTER 4 DISCUSSION
41 Discussion 172
42 Management Implications 189
CHAPTER 5 SUMMARY AND CONCLUSIONS
51 Summary and Conclusion 191
52 Recommendations 194
521 Recommendations for Future Study 194
522 Recommendations for Future TPC Implementation Strategies 194
xii
BIBLIOGRAPHy 199
APPENDICES
APPENDIX A - List of Teleprimary Care centres in Sarawak 216
APPENDIX B1 - Questionnaire (Quantitative Study) English Version
APPENDIX Gl - Percentage ofTPC usage based on Visit Records from TPC Database and
217
APPENDIX B2 - Questionnaire (Quantitative Study) Malay Version 223
APPENDIX C1 - Informed Consent Form (English Version) 230
APPENDIX C2 - Informed Consent Form (Malay Version) 233
APPENDIX D1 - Researchers Information Form (English Version) 237
APPENDIX D2 - Researchers Information Form (Malay Version) 239
APPENDIX E1 - Interview Guide For Clinic TPC Users 242
APPENDIX E2 - Interview Guide For Clinic Supervisors 245
APPENDIX E3 - Interview Guide For Divisional Supervisors 247
APPENDIX Fl - Approval Letter from MREC 249
APPENDIX F2 - Approval Letter from CRC 250
APPENDIX F3 - Approval Letter from Ethics Committee UNIMAS 251
Workload from HMIS January to June 2012 in Sarawak 252
APPENDIX G2 - Original Research Model Unstandardized Parameter Estimates 254
APPENDIX G3 - Original Model Standardized Parameter Estimates 255
APPENDIX G4 - Modified Model Unstandardized Parameter Estimation 256
APPENDIX G5 - Modified Model Standardized Parameter Estimates 257
APPENDIXH - Research Schedule (Gantt Chart) 258
XIII
LIST OF TABLES
page
Table 1 Internal Consistency for each Factor in Questionnaire prior to Modification 71
Table 2 Modules in Teleprimary Care selected for Different Categories of Users
Table 3 Utilization of Teleprimary Care System by Users according to Different Category
74
ofPost from January to June 2012 84
Table 4 Distribution of the Respondents by Socio-demographic Characteristics (n = 516) 88
91
Table 5 Distribution of the Respondents by Information related to Teleprimary Care usage
Table 6 Distribution of the Respondents by Computer Literacy (n=516) 92
Table 7 Percentage Distribution ofTechnical Supervisory Visits by Teleprimary Care Team
(n=516) 94
Table 8 Percentage Distribution of Administrative Supervisory Visits (n=516) 94
Table 9 Factors affecting Computer Literacy Bivariate Analysis (n=516) 98
Table 10 Faotors influencing Computer Literacy among TPC users Multinomial Logistic
Regression Analysis 101
106
Table II Distribution of Respondents by Factors affecting Acceptance to use TPC (n=516)
Table 12 Distribution of Respondents by Intention to use TPC (n=516) 108
Table 13 Pearson Correlations between Predictor and Dependent Variables (n=516) 110
Table 14 Means and Standard Deviations for Predictor Variables and Dependent Variable
for Model Testing (n=516) 112
Table 15 Factors affecting Intention to Use TPC Standard Multiple Linear Regression
Analysis (n=442) 112
xiv
Analysis of Overall Model Goodness-of-Fit for Original Research Model 114
Analysis of Overall Model Goodness-of-Fit for Modified ModeL 117
Distribution of the Respondents by Perception on TPC Usage 122
Factors affecting Preferred Method of Documentation Bivariate Analysis (n=350)
125
Factors affecting Preference between Teleprimary Care and Current Paper-based
System Binary Logistic Regression 128
Challenges and Barriers faced by TPC Users (n=516) 130
Comments to improve TPC Usage (n=516) l32
xv
LIST OF FIGURES
page
Figure 1 Network Architecture of Teleprimary Care prior to Migration ofNetwork (Adopted
from the presentation slide by Fauziah 2010) 22
Figure 2 Database Architecture of Teleprimary Care (Adopted from the presentation slide by
Figure 11 Research Framework on Acceptance of Teleprimary Care and Factors affecting it49
Figure 16 Percentage ofTPC usage based on Visit Records from TPC Database and
Rebi amp Pairan 2012) 22
Figure 3 Distributed Multi-Tier Architecture used in Teleprimary Care (Raili et al 2006) 24
Figure 4 Theory of Reasoned Action (Fishbein and Ajzen 1975) 34
Figure 5 Reciprocal Determinism in Social Cognitive Theory (Compeau amp Higgins 1995) 35
Figure 6 Theory of Planned Behaviour (Ajzen 1991 ) 36
Figure 7 Technology Acceptance Model (Davis 1989) 38
Figure 8 Extended Technology Acceptance Model (Venkatesh and Davis 2000) 39
Figure 9 The Model of PC Utilization (Thompson et al 1991) 41
Figure 10 Unified Theory of Acceptance and Use of Technology (Venkatesh et al 2003) 45
Figure 12 Sampling Frame for Quantitative Data Collection 52
Figure 13 Sampling Method for Quantitative Phase of Study 57
Figure 14 Sampling Method for Qualitative Phase of Study 60
Figure 15 Data Collection Procedure for 9uantitative Phase of Study 69
Workload from HMIS January to June 2012 in Sarawak 82
Figure 17 Computer Literacy of Respondents (n=516) 92
Figure 18 Framework on Utilization of Teleprimary Care (Original Model) 116
xvi
19 Framework on Utilization of Teleprimary Care (Original Model) (Standardized
estimates) 116
igure 20 Framework on Utilization of Teleprimary Care (Modified Model) (Unstandardized
Figure 21 Framework on Utilization of Teleprimary Care (Modified Model) (Standardized
estimates) 119
estimates) 119
Figure 22 Any Challenges or Barriers faced(n=516) 130
xvii
LIST OF ABBREVIATIONS
ACG = Adjusted Clinical Group
AMO = Assistant Medical Officer
BPKK = Bahagian Pembangunan Kesihatan Keluarga (FHDD)
CI = Confidence Interval
df = Degree of Freedom
DHO = Divisional Health Office
FHDD = Family Health Development Division
ICT = Information and Communication Technology
lOT = Innovation Diffusion Theory
IT = Information Technology
JM = Jururawat Masyarakat (Community Nurse)
JPL = Jabatan Pesaldt Luar (Out-patient Department)
Lab = Laboratory
LAN = Local Area Network
KK = Klinik Kesihatan (Health Clinic)
KKIA = Klinik Kesihatan Ibu dan Anak (Maternal and Child Health Clinic)
KKM = Kementerian Kesihatan Malaysia (Malaysian Ministry ofHealth)
MA = Medical Assistant (now known as Assistant Medical Officer)
MCH = Maternal and Child Health Clinic
MO = Medical Officer
xviii
------------ --
= Ministry of Health
= Model of Personal Computer Utilization
= Personal Computer
= Pejabat Kesihatan Bahagian (Divisional Health Office)
= Person Management System
= Senior Assistant Medical Officer
= Social Cognitive Theory
= Standard Deviation
= Structural Equation Modeling
= Sasaran Kerja Tahunan
= Technology Acceptance Model
= Extended Technology Acceptance Model
= Theory of Planned Behaviour
1PC = Teleprimary Care
TRA = Theory of Reasoned Action
DNlMAS = Universiti Malaysia Sarawak
UTAUT = Unified Theory of Acceptance and Use ofTechnology
= Very Small Aperture Terminal
WHO = World Health Organization
XIX
CHAPTERl
INTRODUCTION LITERATURE REVIEW
The use of Internet for e-health or medical infonnatics and related technologies to
deliver or improve health services and infonnation has been an emerging field in healthcare
DIII18gement worldwide (Eysenbach 2001) Within this field the World Health Organisation
(WHO) has identified Telemedicine as a possible application to strengthen health systems and
improve the quality of health care delivery in rural areas (WHO 2010) In Malaysia health
management infonnation system such as Teleprimary Care (TPC) were also expected to
show great potential in providing substantial benefits to healthcare providers healthcare
organizations and patients These electronic systems were believed to be able to facilitate the
workflow in healthcare organization improve quality of patient care and enhance patient
safety in management (Brinfo nd)
Teleprimary Care was launched in Malaysia in the year 2004 Till date there are 88
clinics and seven hospitals equipped with TPC system throughout Malaysia (BPKK 2012
BomeoPost Online 2013) TPC system has been designed to provide many functions to help
bealth managers in delivering more efficient health services and having easier monitoring of
the health status of the community However until now TPC has functioned mainly as an
electronic medical record system for storage and retrieving of patients medical data The use
ofTPC for other functions has been limited
Before the introduction of TPC system patients clinical records were documented in
writing and were subjected to errors The conventional system involved tedious paperwork
which required great amount of resources in tenns of time money and manpower both in
ilCOlrdiIll2 and data extraction Many of these surveillance data collected were left aside and
used to its fullest due to the lengthy procedures required to extract information from piles
files and documents Teleprimary Care system was then created with the hope to improve
health information system by providing more timely and accurate information to help
iWMlnvp health status monitoring With TPC system the communication between healthcare
IIImJrittft in rural areas with specialists in hospitals will also be improved as sharing of
PfOlma1tion can be done more effectively
Introduction of TPC in the healthcare system would also mean a major change from
current paper-based documentation system to a fully computerized management system
to this major change should be well expected and anticipated during its
The greatest challenge remains having all the eligible TPC users to
iftMmiddotIVrAt TPC into their routine daily work Despite the great potential in improving the
_Iitv of health care service delivery the positive impact from TPC will only be discerned if
users access and utilize the functions of TPC regularly Therefore understanding of the
1acceDtanCe of TPC among the users and factors affecting their acceptance are crucial for the
~Jaonirlg of a more efficient implementation of TPC in the country Unfortunately the
I tnl[)wlledle and empirical research on the adoption ofTPC currently is still limited in general
The purpose of this study was to gather data regarding usage of TPC system among
the users The data would then be used to explore the socio-demographic characteristics of the
1I8etS their acceptances as well as the factors which may predict their utilization of the TPC
system The acceptance of users towards TPC was assessed through their intentions to use the
system The study also intended to set a platform for the TPC users to voice their perceptions
barriers faced when using the system and to gather the users opinions and priorities in
the current TPC implementation All these information are important in healthcare
2
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3
BIBLIOGRAPHy 199
APPENDICES
APPENDIX A - List of Teleprimary Care centres in Sarawak 216
APPENDIX B1 - Questionnaire (Quantitative Study) English Version
APPENDIX Gl - Percentage ofTPC usage based on Visit Records from TPC Database and
217
APPENDIX B2 - Questionnaire (Quantitative Study) Malay Version 223
APPENDIX C1 - Informed Consent Form (English Version) 230
APPENDIX C2 - Informed Consent Form (Malay Version) 233
APPENDIX D1 - Researchers Information Form (English Version) 237
APPENDIX D2 - Researchers Information Form (Malay Version) 239
APPENDIX E1 - Interview Guide For Clinic TPC Users 242
APPENDIX E2 - Interview Guide For Clinic Supervisors 245
APPENDIX E3 - Interview Guide For Divisional Supervisors 247
APPENDIX Fl - Approval Letter from MREC 249
APPENDIX F2 - Approval Letter from CRC 250
APPENDIX F3 - Approval Letter from Ethics Committee UNIMAS 251
Workload from HMIS January to June 2012 in Sarawak 252
APPENDIX G2 - Original Research Model Unstandardized Parameter Estimates 254
APPENDIX G3 - Original Model Standardized Parameter Estimates 255
APPENDIX G4 - Modified Model Unstandardized Parameter Estimation 256
APPENDIX G5 - Modified Model Standardized Parameter Estimates 257
APPENDIXH - Research Schedule (Gantt Chart) 258
XIII
LIST OF TABLES
page
Table 1 Internal Consistency for each Factor in Questionnaire prior to Modification 71
Table 2 Modules in Teleprimary Care selected for Different Categories of Users
Table 3 Utilization of Teleprimary Care System by Users according to Different Category
74
ofPost from January to June 2012 84
Table 4 Distribution of the Respondents by Socio-demographic Characteristics (n = 516) 88
91
Table 5 Distribution of the Respondents by Information related to Teleprimary Care usage
Table 6 Distribution of the Respondents by Computer Literacy (n=516) 92
Table 7 Percentage Distribution ofTechnical Supervisory Visits by Teleprimary Care Team
(n=516) 94
Table 8 Percentage Distribution of Administrative Supervisory Visits (n=516) 94
Table 9 Factors affecting Computer Literacy Bivariate Analysis (n=516) 98
Table 10 Faotors influencing Computer Literacy among TPC users Multinomial Logistic
Regression Analysis 101
106
Table II Distribution of Respondents by Factors affecting Acceptance to use TPC (n=516)
Table 12 Distribution of Respondents by Intention to use TPC (n=516) 108
Table 13 Pearson Correlations between Predictor and Dependent Variables (n=516) 110
Table 14 Means and Standard Deviations for Predictor Variables and Dependent Variable
for Model Testing (n=516) 112
Table 15 Factors affecting Intention to Use TPC Standard Multiple Linear Regression
Analysis (n=442) 112
xiv
Analysis of Overall Model Goodness-of-Fit for Original Research Model 114
Analysis of Overall Model Goodness-of-Fit for Modified ModeL 117
Distribution of the Respondents by Perception on TPC Usage 122
Factors affecting Preferred Method of Documentation Bivariate Analysis (n=350)
125
Factors affecting Preference between Teleprimary Care and Current Paper-based
System Binary Logistic Regression 128
Challenges and Barriers faced by TPC Users (n=516) 130
Comments to improve TPC Usage (n=516) l32
xv
LIST OF FIGURES
page
Figure 1 Network Architecture of Teleprimary Care prior to Migration ofNetwork (Adopted
from the presentation slide by Fauziah 2010) 22
Figure 2 Database Architecture of Teleprimary Care (Adopted from the presentation slide by
Figure 11 Research Framework on Acceptance of Teleprimary Care and Factors affecting it49
Figure 16 Percentage ofTPC usage based on Visit Records from TPC Database and
Rebi amp Pairan 2012) 22
Figure 3 Distributed Multi-Tier Architecture used in Teleprimary Care (Raili et al 2006) 24
Figure 4 Theory of Reasoned Action (Fishbein and Ajzen 1975) 34
Figure 5 Reciprocal Determinism in Social Cognitive Theory (Compeau amp Higgins 1995) 35
Figure 6 Theory of Planned Behaviour (Ajzen 1991 ) 36
Figure 7 Technology Acceptance Model (Davis 1989) 38
Figure 8 Extended Technology Acceptance Model (Venkatesh and Davis 2000) 39
Figure 9 The Model of PC Utilization (Thompson et al 1991) 41
Figure 10 Unified Theory of Acceptance and Use of Technology (Venkatesh et al 2003) 45
Figure 12 Sampling Frame for Quantitative Data Collection 52
Figure 13 Sampling Method for Quantitative Phase of Study 57
Figure 14 Sampling Method for Qualitative Phase of Study 60
Figure 15 Data Collection Procedure for 9uantitative Phase of Study 69
Workload from HMIS January to June 2012 in Sarawak 82
Figure 17 Computer Literacy of Respondents (n=516) 92
Figure 18 Framework on Utilization of Teleprimary Care (Original Model) 116
xvi
19 Framework on Utilization of Teleprimary Care (Original Model) (Standardized
estimates) 116
igure 20 Framework on Utilization of Teleprimary Care (Modified Model) (Unstandardized
Figure 21 Framework on Utilization of Teleprimary Care (Modified Model) (Standardized
estimates) 119
estimates) 119
Figure 22 Any Challenges or Barriers faced(n=516) 130
xvii
LIST OF ABBREVIATIONS
ACG = Adjusted Clinical Group
AMO = Assistant Medical Officer
BPKK = Bahagian Pembangunan Kesihatan Keluarga (FHDD)
CI = Confidence Interval
df = Degree of Freedom
DHO = Divisional Health Office
FHDD = Family Health Development Division
ICT = Information and Communication Technology
lOT = Innovation Diffusion Theory
IT = Information Technology
JM = Jururawat Masyarakat (Community Nurse)
JPL = Jabatan Pesaldt Luar (Out-patient Department)
Lab = Laboratory
LAN = Local Area Network
KK = Klinik Kesihatan (Health Clinic)
KKIA = Klinik Kesihatan Ibu dan Anak (Maternal and Child Health Clinic)
KKM = Kementerian Kesihatan Malaysia (Malaysian Ministry ofHealth)
MA = Medical Assistant (now known as Assistant Medical Officer)
MCH = Maternal and Child Health Clinic
MO = Medical Officer
xviii
------------ --
= Ministry of Health
= Model of Personal Computer Utilization
= Personal Computer
= Pejabat Kesihatan Bahagian (Divisional Health Office)
= Person Management System
= Senior Assistant Medical Officer
= Social Cognitive Theory
= Standard Deviation
= Structural Equation Modeling
= Sasaran Kerja Tahunan
= Technology Acceptance Model
= Extended Technology Acceptance Model
= Theory of Planned Behaviour
1PC = Teleprimary Care
TRA = Theory of Reasoned Action
DNlMAS = Universiti Malaysia Sarawak
UTAUT = Unified Theory of Acceptance and Use ofTechnology
= Very Small Aperture Terminal
WHO = World Health Organization
XIX
CHAPTERl
INTRODUCTION LITERATURE REVIEW
The use of Internet for e-health or medical infonnatics and related technologies to
deliver or improve health services and infonnation has been an emerging field in healthcare
DIII18gement worldwide (Eysenbach 2001) Within this field the World Health Organisation
(WHO) has identified Telemedicine as a possible application to strengthen health systems and
improve the quality of health care delivery in rural areas (WHO 2010) In Malaysia health
management infonnation system such as Teleprimary Care (TPC) were also expected to
show great potential in providing substantial benefits to healthcare providers healthcare
organizations and patients These electronic systems were believed to be able to facilitate the
workflow in healthcare organization improve quality of patient care and enhance patient
safety in management (Brinfo nd)
Teleprimary Care was launched in Malaysia in the year 2004 Till date there are 88
clinics and seven hospitals equipped with TPC system throughout Malaysia (BPKK 2012
BomeoPost Online 2013) TPC system has been designed to provide many functions to help
bealth managers in delivering more efficient health services and having easier monitoring of
the health status of the community However until now TPC has functioned mainly as an
electronic medical record system for storage and retrieving of patients medical data The use
ofTPC for other functions has been limited
Before the introduction of TPC system patients clinical records were documented in
writing and were subjected to errors The conventional system involved tedious paperwork
which required great amount of resources in tenns of time money and manpower both in
ilCOlrdiIll2 and data extraction Many of these surveillance data collected were left aside and
used to its fullest due to the lengthy procedures required to extract information from piles
files and documents Teleprimary Care system was then created with the hope to improve
health information system by providing more timely and accurate information to help
iWMlnvp health status monitoring With TPC system the communication between healthcare
IIImJrittft in rural areas with specialists in hospitals will also be improved as sharing of
PfOlma1tion can be done more effectively
Introduction of TPC in the healthcare system would also mean a major change from
current paper-based documentation system to a fully computerized management system
to this major change should be well expected and anticipated during its
The greatest challenge remains having all the eligible TPC users to
iftMmiddotIVrAt TPC into their routine daily work Despite the great potential in improving the
_Iitv of health care service delivery the positive impact from TPC will only be discerned if
users access and utilize the functions of TPC regularly Therefore understanding of the
1acceDtanCe of TPC among the users and factors affecting their acceptance are crucial for the
~Jaonirlg of a more efficient implementation of TPC in the country Unfortunately the
I tnl[)wlledle and empirical research on the adoption ofTPC currently is still limited in general
The purpose of this study was to gather data regarding usage of TPC system among
the users The data would then be used to explore the socio-demographic characteristics of the
1I8etS their acceptances as well as the factors which may predict their utilization of the TPC
system The acceptance of users towards TPC was assessed through their intentions to use the
system The study also intended to set a platform for the TPC users to voice their perceptions
barriers faced when using the system and to gather the users opinions and priorities in
the current TPC implementation All these information are important in healthcare
2
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3
LIST OF TABLES
page
Table 1 Internal Consistency for each Factor in Questionnaire prior to Modification 71
Table 2 Modules in Teleprimary Care selected for Different Categories of Users
Table 3 Utilization of Teleprimary Care System by Users according to Different Category
74
ofPost from January to June 2012 84
Table 4 Distribution of the Respondents by Socio-demographic Characteristics (n = 516) 88
91
Table 5 Distribution of the Respondents by Information related to Teleprimary Care usage
Table 6 Distribution of the Respondents by Computer Literacy (n=516) 92
Table 7 Percentage Distribution ofTechnical Supervisory Visits by Teleprimary Care Team
(n=516) 94
Table 8 Percentage Distribution of Administrative Supervisory Visits (n=516) 94
Table 9 Factors affecting Computer Literacy Bivariate Analysis (n=516) 98
Table 10 Faotors influencing Computer Literacy among TPC users Multinomial Logistic
Regression Analysis 101
106
Table II Distribution of Respondents by Factors affecting Acceptance to use TPC (n=516)
Table 12 Distribution of Respondents by Intention to use TPC (n=516) 108
Table 13 Pearson Correlations between Predictor and Dependent Variables (n=516) 110
Table 14 Means and Standard Deviations for Predictor Variables and Dependent Variable
for Model Testing (n=516) 112
Table 15 Factors affecting Intention to Use TPC Standard Multiple Linear Regression
Analysis (n=442) 112
xiv
Analysis of Overall Model Goodness-of-Fit for Original Research Model 114
Analysis of Overall Model Goodness-of-Fit for Modified ModeL 117
Distribution of the Respondents by Perception on TPC Usage 122
Factors affecting Preferred Method of Documentation Bivariate Analysis (n=350)
125
Factors affecting Preference between Teleprimary Care and Current Paper-based
System Binary Logistic Regression 128
Challenges and Barriers faced by TPC Users (n=516) 130
Comments to improve TPC Usage (n=516) l32
xv
LIST OF FIGURES
page
Figure 1 Network Architecture of Teleprimary Care prior to Migration ofNetwork (Adopted
from the presentation slide by Fauziah 2010) 22
Figure 2 Database Architecture of Teleprimary Care (Adopted from the presentation slide by
Figure 11 Research Framework on Acceptance of Teleprimary Care and Factors affecting it49
Figure 16 Percentage ofTPC usage based on Visit Records from TPC Database and
Rebi amp Pairan 2012) 22
Figure 3 Distributed Multi-Tier Architecture used in Teleprimary Care (Raili et al 2006) 24
Figure 4 Theory of Reasoned Action (Fishbein and Ajzen 1975) 34
Figure 5 Reciprocal Determinism in Social Cognitive Theory (Compeau amp Higgins 1995) 35
Figure 6 Theory of Planned Behaviour (Ajzen 1991 ) 36
Figure 7 Technology Acceptance Model (Davis 1989) 38
Figure 8 Extended Technology Acceptance Model (Venkatesh and Davis 2000) 39
Figure 9 The Model of PC Utilization (Thompson et al 1991) 41
Figure 10 Unified Theory of Acceptance and Use of Technology (Venkatesh et al 2003) 45
Figure 12 Sampling Frame for Quantitative Data Collection 52
Figure 13 Sampling Method for Quantitative Phase of Study 57
Figure 14 Sampling Method for Qualitative Phase of Study 60
Figure 15 Data Collection Procedure for 9uantitative Phase of Study 69
Workload from HMIS January to June 2012 in Sarawak 82
Figure 17 Computer Literacy of Respondents (n=516) 92
Figure 18 Framework on Utilization of Teleprimary Care (Original Model) 116
xvi
19 Framework on Utilization of Teleprimary Care (Original Model) (Standardized
estimates) 116
igure 20 Framework on Utilization of Teleprimary Care (Modified Model) (Unstandardized
Figure 21 Framework on Utilization of Teleprimary Care (Modified Model) (Standardized
estimates) 119
estimates) 119
Figure 22 Any Challenges or Barriers faced(n=516) 130
xvii
LIST OF ABBREVIATIONS
ACG = Adjusted Clinical Group
AMO = Assistant Medical Officer
BPKK = Bahagian Pembangunan Kesihatan Keluarga (FHDD)
CI = Confidence Interval
df = Degree of Freedom
DHO = Divisional Health Office
FHDD = Family Health Development Division
ICT = Information and Communication Technology
lOT = Innovation Diffusion Theory
IT = Information Technology
JM = Jururawat Masyarakat (Community Nurse)
JPL = Jabatan Pesaldt Luar (Out-patient Department)
Lab = Laboratory
LAN = Local Area Network
KK = Klinik Kesihatan (Health Clinic)
KKIA = Klinik Kesihatan Ibu dan Anak (Maternal and Child Health Clinic)
KKM = Kementerian Kesihatan Malaysia (Malaysian Ministry ofHealth)
MA = Medical Assistant (now known as Assistant Medical Officer)
MCH = Maternal and Child Health Clinic
MO = Medical Officer
xviii
------------ --
= Ministry of Health
= Model of Personal Computer Utilization
= Personal Computer
= Pejabat Kesihatan Bahagian (Divisional Health Office)
= Person Management System
= Senior Assistant Medical Officer
= Social Cognitive Theory
= Standard Deviation
= Structural Equation Modeling
= Sasaran Kerja Tahunan
= Technology Acceptance Model
= Extended Technology Acceptance Model
= Theory of Planned Behaviour
1PC = Teleprimary Care
TRA = Theory of Reasoned Action
DNlMAS = Universiti Malaysia Sarawak
UTAUT = Unified Theory of Acceptance and Use ofTechnology
= Very Small Aperture Terminal
WHO = World Health Organization
XIX
CHAPTERl
INTRODUCTION LITERATURE REVIEW
The use of Internet for e-health or medical infonnatics and related technologies to
deliver or improve health services and infonnation has been an emerging field in healthcare
DIII18gement worldwide (Eysenbach 2001) Within this field the World Health Organisation
(WHO) has identified Telemedicine as a possible application to strengthen health systems and
improve the quality of health care delivery in rural areas (WHO 2010) In Malaysia health
management infonnation system such as Teleprimary Care (TPC) were also expected to
show great potential in providing substantial benefits to healthcare providers healthcare
organizations and patients These electronic systems were believed to be able to facilitate the
workflow in healthcare organization improve quality of patient care and enhance patient
safety in management (Brinfo nd)
Teleprimary Care was launched in Malaysia in the year 2004 Till date there are 88
clinics and seven hospitals equipped with TPC system throughout Malaysia (BPKK 2012
BomeoPost Online 2013) TPC system has been designed to provide many functions to help
bealth managers in delivering more efficient health services and having easier monitoring of
the health status of the community However until now TPC has functioned mainly as an
electronic medical record system for storage and retrieving of patients medical data The use
ofTPC for other functions has been limited
Before the introduction of TPC system patients clinical records were documented in
writing and were subjected to errors The conventional system involved tedious paperwork
which required great amount of resources in tenns of time money and manpower both in
ilCOlrdiIll2 and data extraction Many of these surveillance data collected were left aside and
used to its fullest due to the lengthy procedures required to extract information from piles
files and documents Teleprimary Care system was then created with the hope to improve
health information system by providing more timely and accurate information to help
iWMlnvp health status monitoring With TPC system the communication between healthcare
IIImJrittft in rural areas with specialists in hospitals will also be improved as sharing of
PfOlma1tion can be done more effectively
Introduction of TPC in the healthcare system would also mean a major change from
current paper-based documentation system to a fully computerized management system
to this major change should be well expected and anticipated during its
The greatest challenge remains having all the eligible TPC users to
iftMmiddotIVrAt TPC into their routine daily work Despite the great potential in improving the
_Iitv of health care service delivery the positive impact from TPC will only be discerned if
users access and utilize the functions of TPC regularly Therefore understanding of the
1acceDtanCe of TPC among the users and factors affecting their acceptance are crucial for the
~Jaonirlg of a more efficient implementation of TPC in the country Unfortunately the
I tnl[)wlledle and empirical research on the adoption ofTPC currently is still limited in general
The purpose of this study was to gather data regarding usage of TPC system among
the users The data would then be used to explore the socio-demographic characteristics of the
1I8etS their acceptances as well as the factors which may predict their utilization of the TPC
system The acceptance of users towards TPC was assessed through their intentions to use the
system The study also intended to set a platform for the TPC users to voice their perceptions
barriers faced when using the system and to gather the users opinions and priorities in
the current TPC implementation All these information are important in healthcare
2
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3
Analysis of Overall Model Goodness-of-Fit for Original Research Model 114
Analysis of Overall Model Goodness-of-Fit for Modified ModeL 117
Distribution of the Respondents by Perception on TPC Usage 122
Factors affecting Preferred Method of Documentation Bivariate Analysis (n=350)
125
Factors affecting Preference between Teleprimary Care and Current Paper-based
System Binary Logistic Regression 128
Challenges and Barriers faced by TPC Users (n=516) 130
Comments to improve TPC Usage (n=516) l32
xv
LIST OF FIGURES
page
Figure 1 Network Architecture of Teleprimary Care prior to Migration ofNetwork (Adopted
from the presentation slide by Fauziah 2010) 22
Figure 2 Database Architecture of Teleprimary Care (Adopted from the presentation slide by
Figure 11 Research Framework on Acceptance of Teleprimary Care and Factors affecting it49
Figure 16 Percentage ofTPC usage based on Visit Records from TPC Database and
Rebi amp Pairan 2012) 22
Figure 3 Distributed Multi-Tier Architecture used in Teleprimary Care (Raili et al 2006) 24
Figure 4 Theory of Reasoned Action (Fishbein and Ajzen 1975) 34
Figure 5 Reciprocal Determinism in Social Cognitive Theory (Compeau amp Higgins 1995) 35
Figure 6 Theory of Planned Behaviour (Ajzen 1991 ) 36
Figure 7 Technology Acceptance Model (Davis 1989) 38
Figure 8 Extended Technology Acceptance Model (Venkatesh and Davis 2000) 39
Figure 9 The Model of PC Utilization (Thompson et al 1991) 41
Figure 10 Unified Theory of Acceptance and Use of Technology (Venkatesh et al 2003) 45
Figure 12 Sampling Frame for Quantitative Data Collection 52
Figure 13 Sampling Method for Quantitative Phase of Study 57
Figure 14 Sampling Method for Qualitative Phase of Study 60
Figure 15 Data Collection Procedure for 9uantitative Phase of Study 69
Workload from HMIS January to June 2012 in Sarawak 82
Figure 17 Computer Literacy of Respondents (n=516) 92
Figure 18 Framework on Utilization of Teleprimary Care (Original Model) 116
xvi
19 Framework on Utilization of Teleprimary Care (Original Model) (Standardized
estimates) 116
igure 20 Framework on Utilization of Teleprimary Care (Modified Model) (Unstandardized
Figure 21 Framework on Utilization of Teleprimary Care (Modified Model) (Standardized
estimates) 119
estimates) 119
Figure 22 Any Challenges or Barriers faced(n=516) 130
xvii
LIST OF ABBREVIATIONS
ACG = Adjusted Clinical Group
AMO = Assistant Medical Officer
BPKK = Bahagian Pembangunan Kesihatan Keluarga (FHDD)
CI = Confidence Interval
df = Degree of Freedom
DHO = Divisional Health Office
FHDD = Family Health Development Division
ICT = Information and Communication Technology
lOT = Innovation Diffusion Theory
IT = Information Technology
JM = Jururawat Masyarakat (Community Nurse)
JPL = Jabatan Pesaldt Luar (Out-patient Department)
Lab = Laboratory
LAN = Local Area Network
KK = Klinik Kesihatan (Health Clinic)
KKIA = Klinik Kesihatan Ibu dan Anak (Maternal and Child Health Clinic)
KKM = Kementerian Kesihatan Malaysia (Malaysian Ministry ofHealth)
MA = Medical Assistant (now known as Assistant Medical Officer)
MCH = Maternal and Child Health Clinic
MO = Medical Officer
xviii
------------ --
= Ministry of Health
= Model of Personal Computer Utilization
= Personal Computer
= Pejabat Kesihatan Bahagian (Divisional Health Office)
= Person Management System
= Senior Assistant Medical Officer
= Social Cognitive Theory
= Standard Deviation
= Structural Equation Modeling
= Sasaran Kerja Tahunan
= Technology Acceptance Model
= Extended Technology Acceptance Model
= Theory of Planned Behaviour
1PC = Teleprimary Care
TRA = Theory of Reasoned Action
DNlMAS = Universiti Malaysia Sarawak
UTAUT = Unified Theory of Acceptance and Use ofTechnology
= Very Small Aperture Terminal
WHO = World Health Organization
XIX
CHAPTERl
INTRODUCTION LITERATURE REVIEW
The use of Internet for e-health or medical infonnatics and related technologies to
deliver or improve health services and infonnation has been an emerging field in healthcare
DIII18gement worldwide (Eysenbach 2001) Within this field the World Health Organisation
(WHO) has identified Telemedicine as a possible application to strengthen health systems and
improve the quality of health care delivery in rural areas (WHO 2010) In Malaysia health
management infonnation system such as Teleprimary Care (TPC) were also expected to
show great potential in providing substantial benefits to healthcare providers healthcare
organizations and patients These electronic systems were believed to be able to facilitate the
workflow in healthcare organization improve quality of patient care and enhance patient
safety in management (Brinfo nd)
Teleprimary Care was launched in Malaysia in the year 2004 Till date there are 88
clinics and seven hospitals equipped with TPC system throughout Malaysia (BPKK 2012
BomeoPost Online 2013) TPC system has been designed to provide many functions to help
bealth managers in delivering more efficient health services and having easier monitoring of
the health status of the community However until now TPC has functioned mainly as an
electronic medical record system for storage and retrieving of patients medical data The use
ofTPC for other functions has been limited
Before the introduction of TPC system patients clinical records were documented in
writing and were subjected to errors The conventional system involved tedious paperwork
which required great amount of resources in tenns of time money and manpower both in
ilCOlrdiIll2 and data extraction Many of these surveillance data collected were left aside and
used to its fullest due to the lengthy procedures required to extract information from piles
files and documents Teleprimary Care system was then created with the hope to improve
health information system by providing more timely and accurate information to help
iWMlnvp health status monitoring With TPC system the communication between healthcare
IIImJrittft in rural areas with specialists in hospitals will also be improved as sharing of
PfOlma1tion can be done more effectively
Introduction of TPC in the healthcare system would also mean a major change from
current paper-based documentation system to a fully computerized management system
to this major change should be well expected and anticipated during its
The greatest challenge remains having all the eligible TPC users to
iftMmiddotIVrAt TPC into their routine daily work Despite the great potential in improving the
_Iitv of health care service delivery the positive impact from TPC will only be discerned if
users access and utilize the functions of TPC regularly Therefore understanding of the
1acceDtanCe of TPC among the users and factors affecting their acceptance are crucial for the
~Jaonirlg of a more efficient implementation of TPC in the country Unfortunately the
I tnl[)wlledle and empirical research on the adoption ofTPC currently is still limited in general
The purpose of this study was to gather data regarding usage of TPC system among
the users The data would then be used to explore the socio-demographic characteristics of the
1I8etS their acceptances as well as the factors which may predict their utilization of the TPC
system The acceptance of users towards TPC was assessed through their intentions to use the
system The study also intended to set a platform for the TPC users to voice their perceptions
barriers faced when using the system and to gather the users opinions and priorities in
the current TPC implementation All these information are important in healthcare
2
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3
LIST OF FIGURES
page
Figure 1 Network Architecture of Teleprimary Care prior to Migration ofNetwork (Adopted
from the presentation slide by Fauziah 2010) 22
Figure 2 Database Architecture of Teleprimary Care (Adopted from the presentation slide by
Figure 11 Research Framework on Acceptance of Teleprimary Care and Factors affecting it49
Figure 16 Percentage ofTPC usage based on Visit Records from TPC Database and
Rebi amp Pairan 2012) 22
Figure 3 Distributed Multi-Tier Architecture used in Teleprimary Care (Raili et al 2006) 24
Figure 4 Theory of Reasoned Action (Fishbein and Ajzen 1975) 34
Figure 5 Reciprocal Determinism in Social Cognitive Theory (Compeau amp Higgins 1995) 35
Figure 6 Theory of Planned Behaviour (Ajzen 1991 ) 36
Figure 7 Technology Acceptance Model (Davis 1989) 38
Figure 8 Extended Technology Acceptance Model (Venkatesh and Davis 2000) 39
Figure 9 The Model of PC Utilization (Thompson et al 1991) 41
Figure 10 Unified Theory of Acceptance and Use of Technology (Venkatesh et al 2003) 45
Figure 12 Sampling Frame for Quantitative Data Collection 52
Figure 13 Sampling Method for Quantitative Phase of Study 57
Figure 14 Sampling Method for Qualitative Phase of Study 60
Figure 15 Data Collection Procedure for 9uantitative Phase of Study 69
Workload from HMIS January to June 2012 in Sarawak 82
Figure 17 Computer Literacy of Respondents (n=516) 92
Figure 18 Framework on Utilization of Teleprimary Care (Original Model) 116
xvi
19 Framework on Utilization of Teleprimary Care (Original Model) (Standardized
estimates) 116
igure 20 Framework on Utilization of Teleprimary Care (Modified Model) (Unstandardized
Figure 21 Framework on Utilization of Teleprimary Care (Modified Model) (Standardized
estimates) 119
estimates) 119
Figure 22 Any Challenges or Barriers faced(n=516) 130
xvii
LIST OF ABBREVIATIONS
ACG = Adjusted Clinical Group
AMO = Assistant Medical Officer
BPKK = Bahagian Pembangunan Kesihatan Keluarga (FHDD)
CI = Confidence Interval
df = Degree of Freedom
DHO = Divisional Health Office
FHDD = Family Health Development Division
ICT = Information and Communication Technology
lOT = Innovation Diffusion Theory
IT = Information Technology
JM = Jururawat Masyarakat (Community Nurse)
JPL = Jabatan Pesaldt Luar (Out-patient Department)
Lab = Laboratory
LAN = Local Area Network
KK = Klinik Kesihatan (Health Clinic)
KKIA = Klinik Kesihatan Ibu dan Anak (Maternal and Child Health Clinic)
KKM = Kementerian Kesihatan Malaysia (Malaysian Ministry ofHealth)
MA = Medical Assistant (now known as Assistant Medical Officer)
MCH = Maternal and Child Health Clinic
MO = Medical Officer
xviii
------------ --
= Ministry of Health
= Model of Personal Computer Utilization
= Personal Computer
= Pejabat Kesihatan Bahagian (Divisional Health Office)
= Person Management System
= Senior Assistant Medical Officer
= Social Cognitive Theory
= Standard Deviation
= Structural Equation Modeling
= Sasaran Kerja Tahunan
= Technology Acceptance Model
= Extended Technology Acceptance Model
= Theory of Planned Behaviour
1PC = Teleprimary Care
TRA = Theory of Reasoned Action
DNlMAS = Universiti Malaysia Sarawak
UTAUT = Unified Theory of Acceptance and Use ofTechnology
= Very Small Aperture Terminal
WHO = World Health Organization
XIX
CHAPTERl
INTRODUCTION LITERATURE REVIEW
The use of Internet for e-health or medical infonnatics and related technologies to
deliver or improve health services and infonnation has been an emerging field in healthcare
DIII18gement worldwide (Eysenbach 2001) Within this field the World Health Organisation
(WHO) has identified Telemedicine as a possible application to strengthen health systems and
improve the quality of health care delivery in rural areas (WHO 2010) In Malaysia health
management infonnation system such as Teleprimary Care (TPC) were also expected to
show great potential in providing substantial benefits to healthcare providers healthcare
organizations and patients These electronic systems were believed to be able to facilitate the
workflow in healthcare organization improve quality of patient care and enhance patient
safety in management (Brinfo nd)
Teleprimary Care was launched in Malaysia in the year 2004 Till date there are 88
clinics and seven hospitals equipped with TPC system throughout Malaysia (BPKK 2012
BomeoPost Online 2013) TPC system has been designed to provide many functions to help
bealth managers in delivering more efficient health services and having easier monitoring of
the health status of the community However until now TPC has functioned mainly as an
electronic medical record system for storage and retrieving of patients medical data The use
ofTPC for other functions has been limited
Before the introduction of TPC system patients clinical records were documented in
writing and were subjected to errors The conventional system involved tedious paperwork
which required great amount of resources in tenns of time money and manpower both in
ilCOlrdiIll2 and data extraction Many of these surveillance data collected were left aside and
used to its fullest due to the lengthy procedures required to extract information from piles
files and documents Teleprimary Care system was then created with the hope to improve
health information system by providing more timely and accurate information to help
iWMlnvp health status monitoring With TPC system the communication between healthcare
IIImJrittft in rural areas with specialists in hospitals will also be improved as sharing of
PfOlma1tion can be done more effectively
Introduction of TPC in the healthcare system would also mean a major change from
current paper-based documentation system to a fully computerized management system
to this major change should be well expected and anticipated during its
The greatest challenge remains having all the eligible TPC users to
iftMmiddotIVrAt TPC into their routine daily work Despite the great potential in improving the
_Iitv of health care service delivery the positive impact from TPC will only be discerned if
users access and utilize the functions of TPC regularly Therefore understanding of the
1acceDtanCe of TPC among the users and factors affecting their acceptance are crucial for the
~Jaonirlg of a more efficient implementation of TPC in the country Unfortunately the
I tnl[)wlledle and empirical research on the adoption ofTPC currently is still limited in general
The purpose of this study was to gather data regarding usage of TPC system among
the users The data would then be used to explore the socio-demographic characteristics of the
1I8etS their acceptances as well as the factors which may predict their utilization of the TPC
system The acceptance of users towards TPC was assessed through their intentions to use the
system The study also intended to set a platform for the TPC users to voice their perceptions
barriers faced when using the system and to gather the users opinions and priorities in
the current TPC implementation All these information are important in healthcare
2
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3
19 Framework on Utilization of Teleprimary Care (Original Model) (Standardized
estimates) 116
igure 20 Framework on Utilization of Teleprimary Care (Modified Model) (Unstandardized
Figure 21 Framework on Utilization of Teleprimary Care (Modified Model) (Standardized
estimates) 119
estimates) 119
Figure 22 Any Challenges or Barriers faced(n=516) 130
xvii
LIST OF ABBREVIATIONS
ACG = Adjusted Clinical Group
AMO = Assistant Medical Officer
BPKK = Bahagian Pembangunan Kesihatan Keluarga (FHDD)
CI = Confidence Interval
df = Degree of Freedom
DHO = Divisional Health Office
FHDD = Family Health Development Division
ICT = Information and Communication Technology
lOT = Innovation Diffusion Theory
IT = Information Technology
JM = Jururawat Masyarakat (Community Nurse)
JPL = Jabatan Pesaldt Luar (Out-patient Department)
Lab = Laboratory
LAN = Local Area Network
KK = Klinik Kesihatan (Health Clinic)
KKIA = Klinik Kesihatan Ibu dan Anak (Maternal and Child Health Clinic)
KKM = Kementerian Kesihatan Malaysia (Malaysian Ministry ofHealth)
MA = Medical Assistant (now known as Assistant Medical Officer)
MCH = Maternal and Child Health Clinic
MO = Medical Officer
xviii
------------ --
= Ministry of Health
= Model of Personal Computer Utilization
= Personal Computer
= Pejabat Kesihatan Bahagian (Divisional Health Office)
= Person Management System
= Senior Assistant Medical Officer
= Social Cognitive Theory
= Standard Deviation
= Structural Equation Modeling
= Sasaran Kerja Tahunan
= Technology Acceptance Model
= Extended Technology Acceptance Model
= Theory of Planned Behaviour
1PC = Teleprimary Care
TRA = Theory of Reasoned Action
DNlMAS = Universiti Malaysia Sarawak
UTAUT = Unified Theory of Acceptance and Use ofTechnology
= Very Small Aperture Terminal
WHO = World Health Organization
XIX
CHAPTERl
INTRODUCTION LITERATURE REVIEW
The use of Internet for e-health or medical infonnatics and related technologies to
deliver or improve health services and infonnation has been an emerging field in healthcare
DIII18gement worldwide (Eysenbach 2001) Within this field the World Health Organisation
(WHO) has identified Telemedicine as a possible application to strengthen health systems and
improve the quality of health care delivery in rural areas (WHO 2010) In Malaysia health
management infonnation system such as Teleprimary Care (TPC) were also expected to
show great potential in providing substantial benefits to healthcare providers healthcare
organizations and patients These electronic systems were believed to be able to facilitate the
workflow in healthcare organization improve quality of patient care and enhance patient
safety in management (Brinfo nd)
Teleprimary Care was launched in Malaysia in the year 2004 Till date there are 88
clinics and seven hospitals equipped with TPC system throughout Malaysia (BPKK 2012
BomeoPost Online 2013) TPC system has been designed to provide many functions to help
bealth managers in delivering more efficient health services and having easier monitoring of
the health status of the community However until now TPC has functioned mainly as an
electronic medical record system for storage and retrieving of patients medical data The use
ofTPC for other functions has been limited
Before the introduction of TPC system patients clinical records were documented in
writing and were subjected to errors The conventional system involved tedious paperwork
which required great amount of resources in tenns of time money and manpower both in
ilCOlrdiIll2 and data extraction Many of these surveillance data collected were left aside and
used to its fullest due to the lengthy procedures required to extract information from piles
files and documents Teleprimary Care system was then created with the hope to improve
health information system by providing more timely and accurate information to help
iWMlnvp health status monitoring With TPC system the communication between healthcare
IIImJrittft in rural areas with specialists in hospitals will also be improved as sharing of
PfOlma1tion can be done more effectively
Introduction of TPC in the healthcare system would also mean a major change from
current paper-based documentation system to a fully computerized management system
to this major change should be well expected and anticipated during its
The greatest challenge remains having all the eligible TPC users to
iftMmiddotIVrAt TPC into their routine daily work Despite the great potential in improving the
_Iitv of health care service delivery the positive impact from TPC will only be discerned if
users access and utilize the functions of TPC regularly Therefore understanding of the
1acceDtanCe of TPC among the users and factors affecting their acceptance are crucial for the
~Jaonirlg of a more efficient implementation of TPC in the country Unfortunately the
I tnl[)wlledle and empirical research on the adoption ofTPC currently is still limited in general
The purpose of this study was to gather data regarding usage of TPC system among
the users The data would then be used to explore the socio-demographic characteristics of the
1I8etS their acceptances as well as the factors which may predict their utilization of the TPC
system The acceptance of users towards TPC was assessed through their intentions to use the
system The study also intended to set a platform for the TPC users to voice their perceptions
barriers faced when using the system and to gather the users opinions and priorities in
the current TPC implementation All these information are important in healthcare
2
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3
LIST OF ABBREVIATIONS
ACG = Adjusted Clinical Group
AMO = Assistant Medical Officer
BPKK = Bahagian Pembangunan Kesihatan Keluarga (FHDD)
CI = Confidence Interval
df = Degree of Freedom
DHO = Divisional Health Office
FHDD = Family Health Development Division
ICT = Information and Communication Technology
lOT = Innovation Diffusion Theory
IT = Information Technology
JM = Jururawat Masyarakat (Community Nurse)
JPL = Jabatan Pesaldt Luar (Out-patient Department)
Lab = Laboratory
LAN = Local Area Network
KK = Klinik Kesihatan (Health Clinic)
KKIA = Klinik Kesihatan Ibu dan Anak (Maternal and Child Health Clinic)
KKM = Kementerian Kesihatan Malaysia (Malaysian Ministry ofHealth)
MA = Medical Assistant (now known as Assistant Medical Officer)
MCH = Maternal and Child Health Clinic
MO = Medical Officer
xviii
------------ --
= Ministry of Health
= Model of Personal Computer Utilization
= Personal Computer
= Pejabat Kesihatan Bahagian (Divisional Health Office)
= Person Management System
= Senior Assistant Medical Officer
= Social Cognitive Theory
= Standard Deviation
= Structural Equation Modeling
= Sasaran Kerja Tahunan
= Technology Acceptance Model
= Extended Technology Acceptance Model
= Theory of Planned Behaviour
1PC = Teleprimary Care
TRA = Theory of Reasoned Action
DNlMAS = Universiti Malaysia Sarawak
UTAUT = Unified Theory of Acceptance and Use ofTechnology
= Very Small Aperture Terminal
WHO = World Health Organization
XIX
CHAPTERl
INTRODUCTION LITERATURE REVIEW
The use of Internet for e-health or medical infonnatics and related technologies to
deliver or improve health services and infonnation has been an emerging field in healthcare
DIII18gement worldwide (Eysenbach 2001) Within this field the World Health Organisation
(WHO) has identified Telemedicine as a possible application to strengthen health systems and
improve the quality of health care delivery in rural areas (WHO 2010) In Malaysia health
management infonnation system such as Teleprimary Care (TPC) were also expected to
show great potential in providing substantial benefits to healthcare providers healthcare
organizations and patients These electronic systems were believed to be able to facilitate the
workflow in healthcare organization improve quality of patient care and enhance patient
safety in management (Brinfo nd)
Teleprimary Care was launched in Malaysia in the year 2004 Till date there are 88
clinics and seven hospitals equipped with TPC system throughout Malaysia (BPKK 2012
BomeoPost Online 2013) TPC system has been designed to provide many functions to help
bealth managers in delivering more efficient health services and having easier monitoring of
the health status of the community However until now TPC has functioned mainly as an
electronic medical record system for storage and retrieving of patients medical data The use
ofTPC for other functions has been limited
Before the introduction of TPC system patients clinical records were documented in
writing and were subjected to errors The conventional system involved tedious paperwork
which required great amount of resources in tenns of time money and manpower both in
ilCOlrdiIll2 and data extraction Many of these surveillance data collected were left aside and
used to its fullest due to the lengthy procedures required to extract information from piles
files and documents Teleprimary Care system was then created with the hope to improve
health information system by providing more timely and accurate information to help
iWMlnvp health status monitoring With TPC system the communication between healthcare
IIImJrittft in rural areas with specialists in hospitals will also be improved as sharing of
PfOlma1tion can be done more effectively
Introduction of TPC in the healthcare system would also mean a major change from
current paper-based documentation system to a fully computerized management system
to this major change should be well expected and anticipated during its
The greatest challenge remains having all the eligible TPC users to
iftMmiddotIVrAt TPC into their routine daily work Despite the great potential in improving the
_Iitv of health care service delivery the positive impact from TPC will only be discerned if
users access and utilize the functions of TPC regularly Therefore understanding of the
1acceDtanCe of TPC among the users and factors affecting their acceptance are crucial for the
~Jaonirlg of a more efficient implementation of TPC in the country Unfortunately the
I tnl[)wlledle and empirical research on the adoption ofTPC currently is still limited in general
The purpose of this study was to gather data regarding usage of TPC system among
the users The data would then be used to explore the socio-demographic characteristics of the
1I8etS their acceptances as well as the factors which may predict their utilization of the TPC
system The acceptance of users towards TPC was assessed through their intentions to use the
system The study also intended to set a platform for the TPC users to voice their perceptions
barriers faced when using the system and to gather the users opinions and priorities in
the current TPC implementation All these information are important in healthcare
2
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3
------------ --
= Ministry of Health
= Model of Personal Computer Utilization
= Personal Computer
= Pejabat Kesihatan Bahagian (Divisional Health Office)
= Person Management System
= Senior Assistant Medical Officer
= Social Cognitive Theory
= Standard Deviation
= Structural Equation Modeling
= Sasaran Kerja Tahunan
= Technology Acceptance Model
= Extended Technology Acceptance Model
= Theory of Planned Behaviour
1PC = Teleprimary Care
TRA = Theory of Reasoned Action
DNlMAS = Universiti Malaysia Sarawak
UTAUT = Unified Theory of Acceptance and Use ofTechnology
= Very Small Aperture Terminal
WHO = World Health Organization
XIX
CHAPTERl
INTRODUCTION LITERATURE REVIEW
The use of Internet for e-health or medical infonnatics and related technologies to
deliver or improve health services and infonnation has been an emerging field in healthcare
DIII18gement worldwide (Eysenbach 2001) Within this field the World Health Organisation
(WHO) has identified Telemedicine as a possible application to strengthen health systems and
improve the quality of health care delivery in rural areas (WHO 2010) In Malaysia health
management infonnation system such as Teleprimary Care (TPC) were also expected to
show great potential in providing substantial benefits to healthcare providers healthcare
organizations and patients These electronic systems were believed to be able to facilitate the
workflow in healthcare organization improve quality of patient care and enhance patient
safety in management (Brinfo nd)
Teleprimary Care was launched in Malaysia in the year 2004 Till date there are 88
clinics and seven hospitals equipped with TPC system throughout Malaysia (BPKK 2012
BomeoPost Online 2013) TPC system has been designed to provide many functions to help
bealth managers in delivering more efficient health services and having easier monitoring of
the health status of the community However until now TPC has functioned mainly as an
electronic medical record system for storage and retrieving of patients medical data The use
ofTPC for other functions has been limited
Before the introduction of TPC system patients clinical records were documented in
writing and were subjected to errors The conventional system involved tedious paperwork
which required great amount of resources in tenns of time money and manpower both in
ilCOlrdiIll2 and data extraction Many of these surveillance data collected were left aside and
used to its fullest due to the lengthy procedures required to extract information from piles
files and documents Teleprimary Care system was then created with the hope to improve
health information system by providing more timely and accurate information to help
iWMlnvp health status monitoring With TPC system the communication between healthcare
IIImJrittft in rural areas with specialists in hospitals will also be improved as sharing of
PfOlma1tion can be done more effectively
Introduction of TPC in the healthcare system would also mean a major change from
current paper-based documentation system to a fully computerized management system
to this major change should be well expected and anticipated during its
The greatest challenge remains having all the eligible TPC users to
iftMmiddotIVrAt TPC into their routine daily work Despite the great potential in improving the
_Iitv of health care service delivery the positive impact from TPC will only be discerned if
users access and utilize the functions of TPC regularly Therefore understanding of the
1acceDtanCe of TPC among the users and factors affecting their acceptance are crucial for the
~Jaonirlg of a more efficient implementation of TPC in the country Unfortunately the
I tnl[)wlledle and empirical research on the adoption ofTPC currently is still limited in general
The purpose of this study was to gather data regarding usage of TPC system among
the users The data would then be used to explore the socio-demographic characteristics of the
1I8etS their acceptances as well as the factors which may predict their utilization of the TPC
system The acceptance of users towards TPC was assessed through their intentions to use the
system The study also intended to set a platform for the TPC users to voice their perceptions
barriers faced when using the system and to gather the users opinions and priorities in
the current TPC implementation All these information are important in healthcare
2
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3
CHAPTERl
INTRODUCTION LITERATURE REVIEW
The use of Internet for e-health or medical infonnatics and related technologies to
deliver or improve health services and infonnation has been an emerging field in healthcare
DIII18gement worldwide (Eysenbach 2001) Within this field the World Health Organisation
(WHO) has identified Telemedicine as a possible application to strengthen health systems and
improve the quality of health care delivery in rural areas (WHO 2010) In Malaysia health
management infonnation system such as Teleprimary Care (TPC) were also expected to
show great potential in providing substantial benefits to healthcare providers healthcare
organizations and patients These electronic systems were believed to be able to facilitate the
workflow in healthcare organization improve quality of patient care and enhance patient
safety in management (Brinfo nd)
Teleprimary Care was launched in Malaysia in the year 2004 Till date there are 88
clinics and seven hospitals equipped with TPC system throughout Malaysia (BPKK 2012
BomeoPost Online 2013) TPC system has been designed to provide many functions to help
bealth managers in delivering more efficient health services and having easier monitoring of
the health status of the community However until now TPC has functioned mainly as an
electronic medical record system for storage and retrieving of patients medical data The use
ofTPC for other functions has been limited
Before the introduction of TPC system patients clinical records were documented in
writing and were subjected to errors The conventional system involved tedious paperwork
which required great amount of resources in tenns of time money and manpower both in
ilCOlrdiIll2 and data extraction Many of these surveillance data collected were left aside and
used to its fullest due to the lengthy procedures required to extract information from piles
files and documents Teleprimary Care system was then created with the hope to improve
health information system by providing more timely and accurate information to help
iWMlnvp health status monitoring With TPC system the communication between healthcare
IIImJrittft in rural areas with specialists in hospitals will also be improved as sharing of
PfOlma1tion can be done more effectively
Introduction of TPC in the healthcare system would also mean a major change from
current paper-based documentation system to a fully computerized management system
to this major change should be well expected and anticipated during its
The greatest challenge remains having all the eligible TPC users to
iftMmiddotIVrAt TPC into their routine daily work Despite the great potential in improving the
_Iitv of health care service delivery the positive impact from TPC will only be discerned if
users access and utilize the functions of TPC regularly Therefore understanding of the
1acceDtanCe of TPC among the users and factors affecting their acceptance are crucial for the
~Jaonirlg of a more efficient implementation of TPC in the country Unfortunately the
I tnl[)wlledle and empirical research on the adoption ofTPC currently is still limited in general
The purpose of this study was to gather data regarding usage of TPC system among
the users The data would then be used to explore the socio-demographic characteristics of the
1I8etS their acceptances as well as the factors which may predict their utilization of the TPC
system The acceptance of users towards TPC was assessed through their intentions to use the
system The study also intended to set a platform for the TPC users to voice their perceptions
barriers faced when using the system and to gather the users opinions and priorities in
the current TPC implementation All these information are important in healthcare
2
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3
ilCOlrdiIll2 and data extraction Many of these surveillance data collected were left aside and
used to its fullest due to the lengthy procedures required to extract information from piles
files and documents Teleprimary Care system was then created with the hope to improve
health information system by providing more timely and accurate information to help
iWMlnvp health status monitoring With TPC system the communication between healthcare
IIImJrittft in rural areas with specialists in hospitals will also be improved as sharing of
PfOlma1tion can be done more effectively
Introduction of TPC in the healthcare system would also mean a major change from
current paper-based documentation system to a fully computerized management system
to this major change should be well expected and anticipated during its
The greatest challenge remains having all the eligible TPC users to
iftMmiddotIVrAt TPC into their routine daily work Despite the great potential in improving the
_Iitv of health care service delivery the positive impact from TPC will only be discerned if
users access and utilize the functions of TPC regularly Therefore understanding of the
1acceDtanCe of TPC among the users and factors affecting their acceptance are crucial for the
~Jaonirlg of a more efficient implementation of TPC in the country Unfortunately the
I tnl[)wlledle and empirical research on the adoption ofTPC currently is still limited in general
The purpose of this study was to gather data regarding usage of TPC system among
the users The data would then be used to explore the socio-demographic characteristics of the
1I8etS their acceptances as well as the factors which may predict their utilization of the TPC
system The acceptance of users towards TPC was assessed through their intentions to use the
system The study also intended to set a platform for the TPC users to voice their perceptions
barriers faced when using the system and to gather the users opinions and priorities in
the current TPC implementation All these information are important in healthcare
2
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3
lIiIDagemelnt for future plaruting to improve TPC implementation in Sarawak as well as other
Teleprimary Care in Malaysia
Teleprimary Care system is a method of delivering a wide range of healthcare services
community by integrating primary and secondary care via Information and
~DDlunication Technologies (lCT) It covers a wide range of functions including disease
epidemic management and technical support services such as laboratory
_OIOjn and pharmacy (Brinfo nd)
The Malaysian Ministry of Health developed TPC as an electronic clinic management
to link clinics to hospitals in an area It was implemented in 2004 as a pilot project in
rlUaWlltlc and Jobor at an initial cost of RM245 million (Sarawak State Health Department
By the end of 2009 the system has expanded to Pedis Selangor Kuala Lumpur
and Pahang (Utusan Online 2009)
In addition to centralized electronic medical records TPC also has many other
Jeabm~ including tele-referral tele-consultation auto-notification of infectious disease and
1iItItraquo-2cmelaii()n of reports It also facilitates collection and analysis of health data and allows
~lISUIltation and joint management between facilities such as between clinics and hospitals
is indeed a tool to help improve the quality of care in clinics especially in remote and
iIICCClSiblle localities of Sarawak by bringing specialist care closer to patients and reducing
__cgtnal isolation of health staff working there (Sarawak State Health Department 2009)
The TPC application integrates various services available in health clinics and links
to related specialist clinics in larger hospitals Presently TPC only involves disciplines
are available in primary healthcare clinics such as internal medicine paediatrics
3