25
ASIA Journal of Management (AJM) Vol 1 No 10 November 2018 A Retrospective Analysis of the Drug Prescribing Pattern in the Emergency Department of a Tertiary Care Hospital Mei Ji Chong 1,* , Nurulumi Ahmad 1 , Hariana Haris 1 , Nur Liana Md Nasir 1 1 Faculty of Pharmacy, Asia Metropolitan University, Selangor, Malaysia *Corresponding author: [email protected] ABSTRACT Introduction:Emergency department (ED) is characterised by concurrent treatment of multiple patients with a variety of acute and complicated medical conditions, which leads to complex and extensive drug use. Therefore, it represents an important healthcare facility to conduct drug utilisation studies. This is helpful in improving the drug prescribing practices in the emergency settings, ultimately resulting in better patient outcomes and decreased morbidity and mortality. Objective: This study aims to evaluate the drug prescribing pattern in ED in Malaysia by employing the WHO/INRUD core drug prescribing indicators. Methods: A retrospective cross-sectional study was conducted among 404 patients attended the ED of the study hospital from 1 st January to 31 st December 2017. Medical records of the patients were selected randomly from the hospital information system. In this study, a total of 1518 drugs were prescribed among the patients, with an average of 3.76 ± 2.65 drugs per patient. Results:Generic prescribing rate and antibiotic prescribing rate were found to be 72.93% and 29.21%, respectively. More than half (53.96%) of the encounters had an injection prescribed. Majority (71.60%) of the prescribed drugs were available in the Malaysia National Essential Medicines List. The index of rational drug prescribing (IRDP) obtained in this study was 3.3. Most prevalent morbidities encountered in ED were diseases of the respiratory system (21.78%), circulatory system (18.07%) and digestive system (14.60%). This study exhibited a high utilisation of paracetamol(9.42%), tramadol (4.94%) and metoclopramide (4.87%). Conclusion:According to the study findings, the values of WHO core prescribing

A Retrospective Analysis of the Drug Prescribing Pattern in the Emergency … · 2018. 12. 27. · ASIA Journal of Management (AJM) Vol 1 No 10 November 2018 A Retrospective Analysis

  • Upload
    others

  • View
    2

  • Download
    0

Embed Size (px)

Citation preview

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    A Retrospective Analysis of the Drug Prescribing Pattern in

    the Emergency Department of a Tertiary Care Hospital

    Mei Ji Chong1,*

    , Nurulumi Ahmad1, Hariana Haris

    1, Nur Liana Md Nasir

    1

    1Faculty of Pharmacy, Asia Metropolitan University, Selangor, Malaysia

    *Corresponding author: [email protected]

    ABSTRACT

    Introduction:Emergency department (ED) is characterised by concurrent treatment

    of multiple patients with a variety of acute and complicated medical conditions,

    which leads to complex and extensive drug use. Therefore, it represents an

    important healthcare facility to conduct drug utilisation studies. This is helpful in

    improving the drug prescribing practices in the emergency settings, ultimately

    resulting in better patient outcomes and decreased morbidity and mortality.

    Objective: This study aims to evaluate the drug prescribing pattern in ED in

    Malaysia by employing the WHO/INRUD core drug prescribing indicators.

    Methods: A retrospective cross-sectional study was conducted among 404 patients

    attended the ED of the study hospital from 1st

    January to 31st December 2017.

    Medical records of the patients were selected randomly from the hospital

    information system. In this study, a total of 1518 drugs were prescribed among the

    patients, with an average of 3.76 ± 2.65 drugs per patient.

    Results:Generic prescribing rate and antibiotic prescribing rate were found to be

    72.93% and 29.21%, respectively. More than half (53.96%) of the encounters had an

    injection prescribed. Majority (71.60%) of the prescribed drugs were available in the

    Malaysia National Essential Medicines List. The index of rational drug prescribing

    (IRDP) obtained in this study was 3.3. Most prevalent morbidities encountered in ED

    were diseases of the respiratory system (21.78%), circulatory system (18.07%) and

    digestive system (14.60%). This study exhibited a high utilisation of

    paracetamol(9.42%), tramadol (4.94%) and metoclopramide (4.87%).

    Conclusion:According to the study findings, the values of WHO core prescribing

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    indicators and IRDP showed deviations from the recommended standards, indicating

    that irrational prescribing practices exist in the ED of the study hospital.

    Polypharmacy and high usage of injectable medicines were the two major problems

    identified in the ED. Irrational drug use could lead to various undesirable medical,

    social and economic consequences. In view of this, there is a need for rationalising

    the drug therapy in ED by using the study findings as an evidence-based guidance for

    implementing appropriate interventions to achieve quality medical care for the

    patients.

    Keywords: Emergency department, prescribing pattern, prescribing indicator

    1. INTRODUCTION

    Medicines play a pivotal role in healthcare delivery and they are responsible for

    protecting, maintaining and restoring health. The availability of appropriate

    medicines of high quality, in sufficient quantities and at affordable prices as well

    as their rational use have been the major concerns of various healthcare systems

    across the world [1]

    . The appropriate use of medicines represents a significant

    aspect for ensuring safe and effective drug therapy outcomes. Nonetheless,

    irrational use of medicines remains the leading problem in many health facilities,

    especially in the developing countries due to a myriad of challenges such as

    insufficient funds for drug procurement, insufficient training of prescribers,

    attitudes of prescribers, and patients’ beliefs [2]

    .

    In fact, according to the World Health Organisation (WHO), over half of all

    medicines worldwide are prescribed, dispensed, or sold inappropriately, while half

    of the patients fail to take them correctly [3]

    . Irrational use of medicines results in

    serious consequences for patients in terms of poor health outcomes, increased

    medication errors, increased adverse drug events (ADEs), increased morbidity and

    mortality, accelerating rates of antimicrobial resistance, excessive wastage of

    scarce recourses, and increased healthcare expenditures[2]

    .

    The fundamental step to reduce the irrational use of medicines is to investigate the

    nature and extent of its occurrence in different healthcare settings through

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    appropriate and reliable methods such as drug utilisation studies. Drug utilisation

    research (DUR) is a structured process which is used to describe several aspects of

    drug use and drug prescribing, which include pattern, quality, determinants and

    outcome of drug use [4]

    . The ultimate goal of DUR is to facilitate the rational use

    of drugs in populations. With an adequate knowledge of the usage patterns of

    drugs, measures to improve prescribing habits can be implemented [4]

    . Appropriate

    use of medicines has a major contribution to the global reduction in the morbidity

    and mortality, along with its subsequent medical, social and economic benefits [5]

    .

    In the early nineties, WHO collaborated with the International Network for

    Rational Use of Drugs (INRUD) to develop a set of core drug use indicators,

    which can be used to explore the prescribing patterns in developing and

    transitional countries [6]

    . These indicators are intended to serve as effective tools

    for the policymakers and healthcare administrators to assess and monitor the

    extent of rational medicine use. At the same time, they enable the comparison of

    the differences in the drug use practices across facilities, districts or regions as

    well as allowing the evaluation of changes over time [7]

    . Prescribing practices,

    patient care, and facility-specific factors represent the three main areas related to

    the rational use of drugs that are assessed by using these indicators [8]

    .

    Emergency departments (EDs) are characterised by concurrent treatment of

    multiple patients with a variety of complicated medical conditions, in which most

    of them are acutely ill [9]

    . Clinicians often experience difficulties in selecting,

    initiating and individualizing optimal drug therapy for patients admitted to the

    emergency room [10]

    . Due to the need for correct and rapid diagnosis of a large

    number of acute and unexpected cases of illness and injury, a high frequency of

    drug prescription errors including medication errors and ADEs are encountered in

    ED, which are associated with poor patient outcomes and increased cost of therapy

    [1]. As a result of its complex and extensive drug use, ED represents an important

    medical treatment facility to conduct drug utilisation studies [1]

    . The evaluation of

    drug prescribing behaviour and usage patterns in the emergency settings can

    provide valuable insights into the rationality of the prescribed drug therapy [1]

    .

    This is likely helpful in improving the drug prescribing practices in the emergency

    settings, ultimately resulting in better patient outcomes and decreased morbidity

    and mortality [10]

    .

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    Plentiful research studies have been conducted globally to determine the trends of

    drug use in various healthcare facilities,with very few investigating the prescribing

    trends specifically in the emergency units. Currently, there is no published

    literature in Malaysia regarding the prescribing practices in ED. In view of this,

    the main purpose of this study is to evaluate the drug prescribing patterns and the

    rationality of drug use in the ED in Malaysia by employing the WHO/INRUD core

    drug prescribing indicators.

    2. METHODS

    2.1. Study Design

    A retrospective cross-sectional study was conducted among 404 patients attended the

    ED of the study hospital from 1st January to 31

    st December 2017. Medical records of

    the patients were selected from the electronic hospital information system (e-HIS) by

    systematic random sampling method.

    Data obtained from all the patient encounters were recorded in a modified prescribing

    indicator form. The WHO/INRUD core drug prescribing indicators were then

    calculated based on the collected data to evaluate the level of appropriateness of the

    prescriptions. These indicators included average number of drugs per encounter,

    percentage of drugs prescribed by generic name, percentage of encounters with an

    antibiotic prescribed, percentage of encounters with an injection prescribed and

    percentage of drugs prescribed from essential drug list (EDL) or formulary. The core

    prescribing indicators measure only the general prescribing tendencies at a particular

    healthcare setting which is independent of the specific diagnoses. Therefore, the

    collection of information on the patients’ signs and symptoms was not required during

    the study [8]

    .

    On the other hand, the morbidity pattern and drug utilisation pattern in ED were also

    analysed. The diagnoses were classified using the International Classification of

    Disease, Tenth Edition (ICD-10) coding system, while the Anatomical Therapeutic

    Chemical (ATC) classification was used to classify all the medications prescribed to

    the patients. Malaysia National Essential Medicines List (NEML) 4th Edition, 2014

    was used to access the number of medicines prescribed from the EDL/ formulary. For

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    the purpose of this study, intravenous fluids and blood transfusions were not

    considered as prescribed medications.

    2.2. Study Setting

    This study was conducted in the ED of a tertiary care hospital in Selangor, Malaysia.

    2.3. Study Population

    Inclusion criteria: All patients attending the ED of the study hospital from 1st

    January

    to 31st

    December 2017 irrespective of age, gender, ethnicity, and nationality with at

    least one prescribed medication during their stay at ED or at discharge.

    Exclusion criteria: Patients who were not prescribed with any medication during

    their stay at ED or at discharge.

    2.4. Ethical Consideration

    Registration of National Medical Research Register (NMRR) was done before

    conducting the study. An ethical approval for this study was obtained from the Medical

    Research and Ethics Committee (MREC) Ministry of Health Malaysia prior to data

    collection. The approval to conduct the study was obtained with the guidance of the

    Clinical Research Centre (CRC) of the study hospital to conduct the study.

    2.5. Data Analysis

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    2.5.1. Calculation of WHO/INRUD Core Drug Prescribing Indicators

    The WHO core drug prescribing indicators were calculated using the methods shown

    in Table 1.

    Table 1: Calculation of WHO/INRUD Core Drug Prescribing Indicators[8]

    No. Prescribing Indicators Calculation

    1 Average number of drugs per encounter Total number of drugs prescribed/ Total number of encounters surveyed

    2 Percentage of drugs prescribed by generic name

    (Number of drugs prescribed by generic name/ Total number of drugs

    prescribed) × 100

    3 Percentage of encounters with an antibiotic prescribed

    (Number of patient encounters with an antibiotic prescribed/ Total number of

    encounters surveyed) × 100

    4 Percentage of encounters with an injection prescribed

    (Number of patient encounters with an injection prescribed/ Total number of

    encounters surveyed) × 100

    5 Percentage of drugs prescribed from the EDL/ formulary

    (Total number of drugs prescribed from the EDL or local formulary/ Total

    number of drugs prescribed) × 100

    2.5.2. Outcome Measures

    Further assessment of the extent of rational drug prescribing was done by employing

    the Index of Rational Drug Prescribing (IRDP) [11]

    . The method consists of five

    indices derived from the WHO/INRUD core prescribing indicators. The optimal

    values and index scores for all the indicators are given in Table 2.

    For the calculation of the index of non-polypharmacy, index of rational antibiotic

    prescribing and index of rational injection prescribing, the following formula was

    used;

    𝐈𝐧𝐝𝐞𝐱 =Optimal value

    Observed value

    The index of generic prescribing and index of EDL were calculated by using the

    following formula;

    𝐈𝐧𝐝𝐞𝐱 =Observed value

    Optimal value

    The total index (IRDP) which has an optimal value of 5 was then calculated by adding

    up all the five component indices [12]. The closer the value is to 5, the more rational

    the drug prescribing practice in the ED of the study hospital.

    Microsoft Excel 2016 was used for the statistical analysis of the collected data,

    generation of graphs, tables and others. Descriptive statistics were used to describe the

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    data. Continuous variables were expressed as mean ± standard deviation (SD)

    whereas categorical variables were expressed as frequencies and percentages.

    Table 2: Optimal Values and Index Scores of WHO/INRUD Core Drug Prescribing Indicators [12]

    No. Prescribing Indicators Optimal Value Optimal Index Score

    1 Average number of drugs per encounter 1.6-1.8 1 2 Percentage of drugs prescribed by generic name 100% 1

    3 Percentage of encounters with an antibiotic prescribed 20.0%-26.8% 1

    4 Percentage of encounters with an injection prescribed 13.4%-24.1% 1

    5 Percentage of drugs prescribed from the EDL/ formulary 100% 1

    3. RESULTS

    3.1. Demographic Characteristics

    Among the 404 patients included in this study, 226 (55.94%) were males and 178

    (44.06%) were females, with a male: female ratio of 1.27 : 1. All the patients were

    categorised into seven age groups. The average age of patients admitted was 41 ± 24

    years, ranging from 1 to 92 years. Majority of the patients (19.80%) presented to ED

    were elderly, belonging to the age group of 65 years and above. This is followed by

    younger patients aged less than 18 years (18.81%). Table 3 shows the age and gender

    distribution of the patients (n=404).

    Table 3: Demographic Characteristics of Patients

    M= Male; F= Female

    3.2. Patients’ Outcomes

    Characteristics Gender Wise

    Distribution

    of Frequency

    Frequency

    (n)

    Percentage

    (%)

    Gender Male - 226 55.94

    Female - 178 44.06

    Age

    Range

    (Years)

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    Out of 404 patients, almost half of them (45.3%) were admitted to the hospital as

    inpatients. 36.14% of the patients were discharged whereas 18.56% of the patients

    were referred to other departments of the hospital or other health facilities for further

    management. The average duration of stay of the patients in ED was 8 ± 6.73 hours.

    The outcomes of patients admitted to ED are illustrated in Figure 1.

    Figure1: Patients' outcomes

    3.3. Morbidity Pattern

    3.3.1. Morbidity Pattern, Prescribing Trend and Duration of Stay of Patients

    The morbidity pattern of patients admitted to ED is demonstrated in Table 4.

    According to the ICD-10 coding system, there were 16 major categories of diseases

    encountered in the ED. It was found most patients were presented with diseases of the

    respiratory system (21.78%), circulatory system (18.07%) and digestive system

    (13.60%). Average number of drugs per patient was the highest among patients

    diagnosed with diseases of the circulatory system (5.77 ± 3.86), followed by

    neoplasms (4.20 ± 4.09) and diseases of the respiratory system (4.07 ± 2.09). Out of

    all morbidities, diagnoses that caused significantly longer duration of stay in ED (>10

    hours) were diseases of the blood and blood-forming organs and certain disorders

    involving the immune mechanism (11.28 ± 6.36 hours), diseases of the circulatory

    system (10.66 ± 9.41 hours), nervous system (10.32 ± 2.93 hours), and genitourinary

    system (10.31 ± 7.44 hours).

    Table 4: Morbidity Pattern, Prescribing Trends and Duration of Stay of Patients in ED

    ICD-10 Description Frequency Percentage Average No. Average

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    Class of Drugs/

    Encounter

    Duration of Stay

    in ED (Hours)

    J00–J99 Diseases of the respiratory system 88 21.78 4.07 ± 2.09 8.75 ± 6.10

    I00–I99 Diseases of the circulatory system 73 18.07 5.77 ± 3.86 10.66 ± 9.41

    K00–K93 Diseases of the digestive system 59 14.60 3.02 ± 1.72 4.53 ± 3.61

    A00–B99 Certain infectious and parasitic diseases 38 9.41 2.18 ± 1.45 7.26 ± 6.40

    N00–N99 Diseases of the genitourinary system 37 9.16 3.68 ± 2.51 10.31 ± 7.44

    S00–T98 Injury, poisoning and certain other

    consequences of external causes

    21 5.20 3.81 ± 1.81 8.39 ± 5.92

    R00–R99 Symptoms, signs and abnormal clinical

    and laboratory findings, not elsewhere classified

    19 4.70 2.95 ± 2.12 6.32 ± 4.70

    L00–L99 Diseases of the skin and subcutaneous

    tissue

    17 4.21 2.65 ± 1.32 5.81 ± 5.83

    M00–M99 Diseases of the musculoskeletal system and connective tissue

    11 2.72 2.18 ± 1.94 6.51 ± 5.50

    E00–E90 Endocrine, nutritional and metabolic

    diseases

    10 2.48 2.80 ± 1.75 8.49 ± 4.75

    G00–G99 Diseases of the nervous system 10 2.48 3.2 ± 1.75 10.32 ± 2.93

    D50–D89 Diseases of the blood and blood-forming

    organs and certain disorders involving the

    immune mechanism

    6 1.49 3.83 ± 2.32 11.28 ± 6.36

    O00–O99 Pregnancy, childbirth and the puerperium 6 1.49 1.33 ± 0.52 4.35 ± 1.35

    C00–D48 Neoplasms 5 1.24 4.20 ± 4.09 6.07 ± 3.93

    H60–H95 Diseases of the ear and mastoid process 3 0.74 1.67 ± 1.15 2.51 ± 1.08

    F00–F99 Mental and behavioural disorders 1 0.25 2 6.75

    Total 404 100 3.76 ± 2.65 8 ± 6.73

    3.3.2. Ten Most Frequently Encountered Diagnoses in ED and Their Prescribing

    Trends

    Table 5 presents the ten most frequently encountered diagnoses in ED along with the

    top three drugs prescribed for each of these diagnoses. Asthma (6.93%), pneumonia

    (6.44%) and dengue fever (6.19%) were among the most prevalent diagnoses in ED.

    Table 5: Ten Most Frequently Encountered Diagnoses in ED and Their Prescribing Trends

    No. Diagnosis Frequency Percentage Most Commonly Prescribed Drugs (Percentage of Drug

    Prescription)

    1 Asthma 28 6.93 Salbutamol (26.71%), Ipratropium bromide (13.70%), Hydrocortisone (11.64 %)

    2 Pneumonia 26 6.44 Salbutamol (15.05%), Amoxicillin/clavulanate (13.98%), Paracetamol (10.75%)

    3 Dengue fever 25 6.19 Paracetamol (41.86%), Oral rehydration salts (23.26%), Metoclopramide (11.63%)

    4 Ischemic heart disease 24 5.94 Aspirin (18.09%), Clopidogrel (12.77%), Glyceryltrinitrate (6.38%)

    5 Gastritis 17 4.21 Magnesium trisilicate mixture (23.81%), Ranitidine (23.81%), Metoclopramide (19.05%)

    6 Injuries 15 3.71 Tramadol (24.14%), Paracetamol (17.24%), Metoclopramide (12.07%)

    7 Stroke 12 2.97 Aspirin (18.00%), Simvastatin (18.00%), Ranitidine (10.00%)

    8 Acute heart failure 12 2.97 Frusemide (25.93%), Aspirin (7.41%), Bisoprololfumarate (7.41%), Clopidogrel (7.41%)

    9 Acute tonsillitis 10 2.48 Paracetamol (45.45%), Amoxicillin/clavulanate (18.18%), Amoxicillin trihydrate (18.18%)

    10 Urinary tract infection 9 2.23 Cephalexin (25.00 %), Paracetamol (17.86%), Ural sachet (17.86%)

    11 Others 226 55.94

    Total 404 100

    3.4. Drug Prescribing Pattern

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    3.4.1. Distribution of Drugs among the Patients Presented to ED

    The distribution of drugs among the patients presented to ED is depicted in Figure 2.

    Most of the patients (n=251, 62.13%) were prescribed with more than two drugs.

    Figure2: Distribution of drugs among the patients presented to ED

    3.4.2. Consumption of Drugs and Average Duration of Stay in ED by Different

    Age Groups

    Table 6 compares the average number of drugs per encounter and average duration of

    stay in ED between the patients of different age groups. Among the seven age groups,

    patients who were less than 18 years old had been prescribed with the lowest number

    of drugs per encounter (2.59 ± 1.40) and their average duration of stay in ED (6.17 ±

    5.11 hours) was the shortest as compared to other patients. In contrast, average

    number of drugs prescribed to the older patients aged 45 years and above (4.49 ±

    3.05) was higher than that of the younger patients. Besides, the patients within this

    age range spent longer time in the ED (9.29 ± 7.64 hours) before being admitted as

    inpatients or discharged.

    Table 6: Consumption of Drugs and Average Duration of Stay in ED by Different Age Groups

    3.4.3. Routes of Drug Administration

    Age

    (Years)

    No. of

    Patients

    Percentage of

    Patients

    Average No. of

    Drugs/ Encounter

    Total No. of

    Drugs Prescribed

    Percentage of

    Drugs Prescribed

    Average Duration of

    Stay in ED (Hours)

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    There were five main routes of administration for the prescribed drugs as presented in

    Table 7. Out of 1518 drugs prescribed, majority of the drugs were administered

    enterally (55.80%) and parenterally (32.87%).

    Table 7: Routes of Drug Administration

    Routes Subclass Frequency Percentage Total Frequency Total Percentage

    Enteral Oral Solid 709 46.71 847 55.80

    Liquid 120 7.91

    Sublingual (SL) 18 1.19

    Parenteral Intravenous (IV) 423 27.87 499 32.87

    Intramuscular (IM) 14 0.92

    Subcutaneous (SC) 62 4.08

    Inhalation - 119 7.84 119 7.84

    Topical - 33 2.17 33 2.17

    Rectal - 20 1.32 20 1.32

    3.4.4. Drug Classes and Prescribing Frequency

    Table 8 summarises the major classes of drugs prescribed to the patients and their

    relative frequency and percentage of prescription. The ATC classification was used to

    divide all drugs into 14 main groups based on the organ or system on which they act.

    Generally, drugs from the alimentary tract and metabolism class (23.32%) accounted

    for the largest proportion of all the prescribed drugs, followed by drugs acting on the

    nervous system (17.59%) and cardiovascular system (15.09%).

    Table 8: Drug Classes and Prescribing Frequency

    ATC Class ATC

    Code

    Frequency

    of Class

    Prescription

    Percentage

    of Class

    Prescription

    Most Frequently Prescribed Subclass

    (Percentage of Subclass Prescription)

    Alimentary tract and metabolism A 354 23.32 Drugs for acid related disorders (38.98%), Propulsives (20.90%), Antidiabetics

    (12.15%)

    Nervous system N 267 17.59 Analgesics (87.64%), Antiepileptics (4.49%), Anxiolytics (4.12%)

    Cardiovascular system C 229 15.09 Diuretics (24.89%), Lipid modifying

    agents (16.16%), Vasodilators used in

    cardiac diseases (12.23%)

    Blood and blood forming organs B 179 11.79 Antithrombotic agents (78.77%),

    Antianemic preparations (11.73%),

    Antihemorrhagics (6.15%)

    Antiinfectives for systemic use J 168 11.07 Antibacterials for systemic use (94.05%),

    Vaccines (3.57%), Antivirals for systemic

    use (1.79%)

    Respiratory system R 167 11.00 Drugs for obstructive airway diseases (78.44%), Antihistamines for systemic use

    (16.77%), Mucolytics (4.79%)

    Systemic hormonal preparations, excluding sex hormones and

    insulins

    H 76 5.01 Corticosteroids for systemic use (96.05 %)

    Musculo-skeletal system M 47 3.10 Anti-inflammatory and antirheumatic

    products (53.19%)

    Dermatologicals D 14 0.92 Antipruritics (35.71%)

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    Various V 8 0.53 Drugs for treatment of hyperkalemia and

    hyperphosphatemia (87.50%)

    Sensory organs S 4 0.26 Ophthalmologicals (100%)

    Genitourinary system and sex

    hormones

    G 2 0.13 Progestogens (100%)

    Antiparasitic products,

    insecticides and repellents

    P 2 0.13 Antiprotozoals (100%)

    Antineoplastic and

    immunomodulating agents

    L 1 0.07 Immunosuppressants (100%)

    Total 1518 100

    3.4.5. Top Ten Drugs Prescribed

    Table 9 shows the top ten drugs prescribed in ED. This study demonstrates a high

    utilisation of paracetamol (9.42%), followed by tramadol (4.94%), metoclopramide

    (4.87%) and salbutamol (4.61%) in the ED.

    Table 9: Top Ten Drugs Prescribed

    No. Name of Drug ATC Code Frequency of Drug

    Prescription

    Percentage of Drug

    Prescription

    1 Paracetamol N02BE01 143 9.42 2 Tramadol N02AX02 75 4.94 3 Metoclopramide A03FA01 74 4.87 4 Salbutamol R03AC02 70 4.61 5 Aspirin B01AC06 62 4.08 6 Ranitidine A02BA02 61 4.02 7 Frusemide C03CA01 53 3.49 8 Amoxicillin/clavulanate J01CR02 36 2.37 9 Prednisolone H02AB06 36 2.37 10 Clopidogrel B01AC04 35 2.31 11 Others 873 57.51

    Total 1518 100.00

    3.4.6. Antibiotic Prescribing Pattern

    Figure 3 outlines the prescribing pattern of antibiotics in ED. A total of 118 (29.21%)

    patients admitted to the ED had at least one antibiotic prescribed. Out of 1518 drugs

    prescribed, 159 (10.47%) were antibiotics. Some of the most frequently prescribed

    antibiotics were amoxicillin/clavulanate (n=36, 22.64%), cefuroxime (n=23, 14.47%)

    and cloxacillin (n=19,

    11.95%). Most of the

    antibiotics prescribed were

    from the penicillin and

    cephalosporin classes.

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    Figure3: Commonly prescribed antibiotics

    3.4.7. Injection Prescribing Pattern

    Figure 4 illustrates the prescribing pattern of injectable medicines in ED. Injections

    were prescribed in over half (n=218, 53.96%) of the patients. 26.88% (n=408) of the

    total number of drugs prescribed were in the injectable forms. Metoclopramide (n=47,

    11.52%), tramadol (n=40, 9.8%) and ranitidine (n=40, 9.8%) were among the most

    commonly prescribed injectable preparations in ED.

    Figure 4: Commonly prescribed injections

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    3.5. WHO/INRUD Core Drug Prescribing Indicators

    The core prescribing indicators were calculated according to WHO specifications.

    Table 10 presents the results of the five prescribing indicators obtained in the ED in

    this study, along with their respective optimal levels suggested by WHO.

    Table 10: WHO/INRUD Core Drug Prescribing Indicators

    No. Prescribing indicators Frequency Obtained Value WHO Optimal Value

    1 Average number of drugs per encounter 1518 3.76 ± 2.65 1.6-1.8 2 Percentage of drugs prescribed by

    generic name

    1107 72.93 100%

    3 Percentage of encounters with an antibiotic prescribed

    118 29.21 20.0%-26.8%

    4 Percentage of encounters with an injection prescribed

    218 53.96 13.4%-24.1%

    5 Percentage of drugs prescribed from the Malaysia NEML

    1087 71.60 100%

    3.6. Index of Rational Drug Prescribing (IRDP)

    IRDP indicates the extent to which the prescribing practices meet the optimal level of

    rational drug prescribing. The calculated indices of rational drug prescribing obtained

    in the current study is shown in Table 11.

    Table 11: Index of Rational Drug Prescribing (IRDP)

    3.7. Comparison of the WHO/INRUD Core Drug Prescribing Indicators and

    IRDP of the Current Study with Other Similar Studies

    Table 12 compares the values of the WHO core prescribing indicators of this study

    with the findings reported by other studies conducted in India and Arab. On the other

    hand, Table 13 demonstrates the comparison of the calculated indices of rational drug

    prescribing obtained in the current study with that reported by other studies. The EDs

    in all these studies were ranked according to their respective IRDP, which enables the

    rational drug use in all the EDs to be compared comprehensively.

    Table 12: Comparison of the WHO/INRUD Core Drug Prescribing Indicators between the Current Study and Other

    Studies

    No. Index Obtained Value Optimal Index

    1 Non-polypharmacy index 0.48 1 2 Generic prescribing index 0.73 1 3 Rational antibiotic prescribing index 0.92 1 4 Rational injection prescribing index 0.45 1 5 Essential drugs list index 0.72 1

    IRDP 3.3 5

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    Studies on

    Drug

    Utilisation

    Pattern in ED

    Countries WHO Core Prescribing Indicators Average

    Duration

    of Stay in

    ED

    Average

    number of

    drugs per encounter

    Percentage

    of drugs

    prescribed by generic

    names

    Percentage

    of

    encounters with an

    antibiotic

    prescribed

    Percentage

    of

    encounters with an

    injection

    prescribed

    Percentage

    of drugs

    prescribed from the

    EDL/

    formulary

    Current Study Malaysia 3.76 ± 2.65 72.93 29.21 53.96 71.60 8 ± 6.73 hr Cheekavoluet

    al., 2011 [13]

    India 4.2 ± 1.2 5.00 21.78 79.96 63.45 2.8 ± 1.4 hr

    Barotet al., 2013 [10]

    India 9.99 ± 2.55 12 74 - 84.5 2 days

    Pandey&

    Khan, 2013 [5]

    India 8.02 ± 1.94 18.86 93.6 97.6 52.14 3.03 ± 1.01

    days Al Balushiet

    al., 2014 [20]

    Arab 3.16 ± 1.89 - 10 38 58 3.38 hr

    Kauret al., 2014 [14]

    India 4.9 29.27 14.89 75.17 64.94 2.23 ± 1.3 days

    SulaimanSaite

    t al., 2014 [15]

    India 2.60 ± 1.41 37.63 15 67.5 16.94 -

    Patidar&Pichh

    oliya, 2016 [16]

    India 2.4 20 23.11 67.49 92.6 -

    Binuet al., 2017 [1]

    India 6.4 20.9 78.84 87.88 83.88 -

    Mamanthaet

    al., 2017 [17]

    India 6.76 41 76 100 64.8 2 days

    Alkahtani,

    2018 [21]

    Arab 2.39 ± 0.55 - 23 33 65 2 ± 0.5 hr

    WHO

    Optimal

    Value

    1.6-1.8 1 20.0%-

    26.8%

    13.4%-

    24.1%

    1

    Table 13: Comparison of the IRDP between the Current Study and Other Studies

    Studies on

    Drug

    Utilisation

    Pattern in ED

    Countries Index IRDP Rank

    Non-

    polypharmacy index

    Generic

    prescribing index

    Rational

    antibiotic prescribing

    index

    Rational

    injection prescribing

    index

    Essential

    drugs list index

    Current Study Malaysia 0.48 0.73 0.92 0.45 0.72 3.3 1

    Cheekavoluet

    al., 2011 [13]

    India 0.43 0.05 1 0.3 0.63 2.41 7

    Barotet al.,

    2013 [10]

    India 0.18 0.12 0.36 - 0.85 1.51 10

    Pandey& Khan, 2013 [5]

    India 0.23 0.19 0.29 0.25 0.52 1.48 11

    Al Balushiet

    al., 2014 [20]

    Arab 0.57 - 1 0.63 0.58 2.78 4

    Kauret al., 2014 [14]

    India 0.37 0.29 1 0.32 0.65 2.63 5

    SulaimanSaitet al., 2014 [15]

    India 0.69 0.38 1 0.36 0.17 2.6 6

    Patidar&Pichholiya, 2016 [16]

    India 0.75 0.2 1 0.36 0.93 3.24 2

    Binuet al., 2017 [1]

    India 0.28 0.21 0.34 0.27 0.84 1.94 8

    Mamanthaet

    al., 2017 [17]

    India 0.27 0.41 0.35 0.24 0.65 1.92 9

    Alkahtani, 2018 [21]

    Arab 0.75 - 1 0.73 0.65 3.13 3

    Optimal Index 1 1 1 1 1 5

    4. DISCUSSION

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    4.1. WHO/INRUD Core Drug Prescribing Indicators and IRDP

    This study provides baseline information on the drug prescribing pattern in the ED of

    the study hospital by employing the WHO/INRUD core drug prescribing indicators.

    These indicators evaluate the performance of health care providers in five key aspects

    related to the rational use of drugs [8]

    . Therefore, the potential drug use problems that

    require further improvement in the emergency care setting in Malaysia can be

    identified, so that appropriate interventions can be implemented in order to optimise

    the current prescribing practices.

    The average duration of stay of patients in ED was 8 ± 6.73 hours, which is much

    shorter as compared to the findings reported by Pandey& Khan (2013), 3.03 ± 1.01

    days, Kauret al. (2014), 2.23 ± 1.3 days and Barotet al. (2013), 2 days. This indicates

    a rapid and efficient management of patients admitted to ED. In spite of that, in two

    studies conducted in Arab by Al Balushiet al. (2014) and Alkahtani (2018), the

    patients had spent comparatively shorter time in ED, which were only 3.38 hours and

    2 ± 0.5 hours, respectively. Therefore, the efficiency of working in ED and thus the

    time of disposition of patients from the ED in this study can be further improved to

    prevent the problem of overcrowding in ED.

    Among the 404 patients, a total of 1518 drugs were prescribed. The mean number of

    drugs per prescribing encounter, which reflects the standard of prescribing in ED, was

    found to be 3.76 ± 2.65, with a significant percentage (62.13%) of patients prescribed

    with more than 2 drugs. This value is considerably higher than the WHO

    recommended standard range of 1.6-1.8 drugs per encounter, which indicates

    tendency for polypharmacy in the prescribing practices. However, in the emergency

    settings, most of the patients are presenting with acute life-threatening conditions or

    multiple comorbidities and the diagnosis may not be confirmed at the time of initial

    contact. Therefore, it is reasonable to prescribe higher number of drugs per encounter

    for the effective management of acute conditions. Nevertheless, it is always advisable

    to keep the mean number of drugs per prescription as low as possible, because

    polypharmacy could potentially lead to higher risks of drug-drug interactions and

    adverse drug reactions (ADRs) and increased cost of therapy. In comparison to the

    present study, Barotet al. (2013), Pandey& Khan (2013), Mamantha,

    Parashivamurthy&Suneetha (2017) and Binuet al. (2017) had reported markedly

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    higher incidence of polyparmacy in the EDs in India, in which the average number of

    drugs per prescription were as high as 9.99 ± 2.55, 8.02 ± 1.94, 6.7 and 6.4,

    respectively. This could be due to the longer duration of stay of the patients in ED as

    compared to this study.

    Out of all drugs prescribed, majority (72.93%) of the drugs were prescribed by

    generic name. This finding portrays the highest rate of generic prescribing as

    compared to the results obtained in the previous studies in India. which were

    generally less than 45%[1,5,10,13-17]

    . However, WHO recommended that all drugs

    (100%) should be prescribed by generic name. Generic prescribing is greatly

    encouraged because it is associated with lower healthcare costs as generic products

    are often cheaper than their branded equivalents. Besides, prescribing generically may

    also minimise the risks of medication errors during prescribing or dispensing due to

    similar drug names and prevent the duplication of drug products [18]

    .

    In this study, the percentage of encounters with an antibiotic prescribed was 29.21%.

    This is slightly higher than the ideal standard of 20.0%-26.8%. The problem of

    overprescribing of antibiotics was found to be more prevalent in some of the EDs in

    India, as reported by Pandey& Khan (2013), 93.6%, Binuet al. (2017), 78.84%,

    Mamanthaet al. (2017), 76% and Barotet al. (2013), 74%. Acute tonsillitis, cellulitis,

    pneumonia and urinary tract infections were the frequently encountered indications in

    ED which were prescribed with at least one antibiotic. The major classes of antibiotics

    prescribed were aminopenicillins (30.2%), second generation cephalosporins (14.5%)

    and third generation cephalosporins (13.2%). Amoxicillin/clavulanate, cefuroxime

    and ceftriaxone were the widely prescribed antibiotics from these classes,

    respectively. The antibiotic prescribing pattern in this study was similar to that

    observed in the EDs in Arab and India. For instance, according to Al Balushiet al.

    (2014), Kauret al. (2014), Patidar&Pichholiya (2016) and Alkahtani (2018),

    amoxicillin/clavulanate was the maximally prescribed antibiotic in ED whereas

    Cheekavoluet al. (2011) and Barotet al. (2013) had revealed that a third generation

    cephalosporin, namely ceftriaxone was the most frequently used antibiotic in ED.

    From these findings, it can be inferred that broad-spectrum antibiotics are frequently

    used for the empiric treatment of infections in the emergency set-ups before the

    causative organism is known through the culture and sensitivity test.

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    More than half (53.96%) of the encounters had an injection prescribed. This shows

    significant deviation from the WHO reference range of 13.4%-24.1%. Similarly, in

    the EDs in other studies, the usage of injectable preparations was on the higher end,

    which ranged from 67% to 100%[1,5,13-17]

    . This indicates that parenteral administration

    is preferred in the emergency management of patients due to its rapid onset of action

    and high bioavailability. Furthermore, high injection prescribing rate in ED may be

    attributed to patients’ conditions, such as in nauseous or unconscious cases, where

    drugs cannot be administered orally. Nonetheless, excessive and indiscriminate use of

    injectable medicines can increase the risk of transmitting blood borne diseases such as

    hepatitis and HIV/AIDS, especially in the settings with high prevalence of infectious

    diseases. In addition, the overuse of injections when oral formulations would be more

    appropriate seems to be irrational because injectable preparations are often more

    expensive than the oral medications. Consequently, there is a need to reduce

    unnecessary injections as a way to reduce the risks associated with non-sterile

    injections and to reduce healthcare costs associated with ED visits.

    Drugs prescribed from the Malaysia NEML comprised 71.60% of the total number of

    drugs prescribed. This finding is notably higher than that reported by other studies:

    SulaimanSaitet al. (2014), 16.94%, Pandey& Khan (2013), 52.14% and Al Balushiet

    al. (2014), 58%. Despite that, 100% of drugs should be prescribed from EDL or

    formulary as recommended by WHO, because drugs listed in EDL or formulary have

    assured safety and efficacy based on the clinical studies and are available in

    affordable prices [19].

    Taking all five prescribing indicators into consideration, the overall IRDP obtained in

    the present study (3.3) was the highest, thus the ED in this study was ranked first

    among all the 11 studies included in the comparison. As a whole, the prescribing

    practices in this study are better than that observed in the EDs in India. However, both

    reports from Arab had demonstrated more rational prescribing in terms of the average

    number of drugs per prescription, antibiotic prescribing rate and injection prescribing

    rate as compared to this study[20,21]

    . Indeed, the IRDP of 3.3 was relatively lower than

    the optimal value of 5, suggesting that there is still room for improvement in the drug

    prescribing pattern in the ED in this study.

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    4.2. Morbidity Pattern and Drug Prescribing Pattern

    Most prevalent categories of morbidities encountered in ED according to the ICD-10

    classification were diseases of the respiratory system, constituting 21.78% of the 404

    cases, followed by diseases of the circulatory system (18.07%) and digestive system

    (14.60%). This is comparable to the results obtained by Pandey& Khan (2013) in a

    tertiary care teaching hospital in India, in which these diseases were also found to be

    the top morbidities among the patients admitted to ED. Besides, several studies on

    drug utilisation pattern in ED [1,14,15,21,22]

    had demonstrated similar morbidity pattern

    among the admitted patients, in which respiratory system, cardiovascular system and

    gastrointestinal system were among the principal organ systems involved.

    In the present study, asthma (6.93%), and pneumonia (6.44%) represented the leading

    diagnoses among the respiratory disorders and they were listed as the first and second

    top reasons of admission to ED, respectively. Following next was dengue fever which

    was diagnosed in 6.19% patients. Ischemic heart disease, comprising about 5.94% of

    total encounters was the most frequently encountered circulatory system disorder and

    it was ranked as the fourth most prevalent disease in ED. Besides, gastritis that

    contributed to 4.21% of all cases was the most common complaint associated with the

    gastrointestinal system.

    Patients presented with diseases of the circulatory system had been prescribed with

    the highest average number of drugs per encounter. Similarly, reports from studies

    carried out by Cheekavolu et al. (2011), Barot et al. (2013) and Al Balushi et al.

    (2014) had shown that the average number of drugs per prescription was the highest

    in the cases of cardiovascular emergencies. Out of all morbidities, patients diagnosed

    with diseases of the blood and blood-forming organs and certain disorders involving

    the immune mechanism, diseases of the circulatory system, nervous system and

    genitourinary system had spent significantly longer time in ED (>10 hours) as

    compared to other patients. In contrast to these findings, Cheekavoluet al. (2011) had

    demonstrated that traumatic disorders, respiratory disorders and cardiovascular

    disorders were among the diagnoses that led to longer duration of stay in ED.

    With regards to the prescribing pattern, drugs acting on the alimentary tract and

    metabolism which comprised about 23.32% of all drugs prescribed were the most

    frequently prescribed class of medications in ED. Examples of widely prescribed

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    drugs from this class were metoclopramide, ranitidine and oral rehydration salts. In

    contrast, in the studies conducted in India by Barot et al. (2013), Pandey& Khan

    (2013), SulaimanSait et al. (2014) and Mamantha et al. (2017), ondansetron and

    pantoprazole were found to be the maximally prescribed drugs acting on the

    gastrointestinal tract among the patients admitted to ED. Next, drugs classified under

    the ATC classes of nervous system (17.59%) and cardiovascular system (15.09%)

    represented the second and third most common groups of drugs prescribed in the ED

    in this study.

    This study exhibited a high utilisation of paracetamol in ED, constituting 9.42% of the

    total drugs prescribed. Dengue fever, injuries and infections such as pneumonia, acute

    tonsillitis and urinary tract infections were the common indications where

    paracetamol was routinely being prescribed. Likewise, Al Balushi et al. (2014),

    Patidar & Pichholiya (2016) and Alkahtani (2018) had reported high usage of

    paracetamol in ED. Next in order were tramadol (4.94%), metoclopramide (4.87%)

    and salbutamol (4.61%).

    One pronounced difference in the drug prescribing trend observed in the current study

    as compared to a number of studies conducted in India [16,22]

    and Arab [20,[21]

    was the

    frequent utilisation of tramadol as analgesic in ED instead of NSAIDs, particularly

    diclofenac. In terms of the prescribing pattern of antiemetics, metoclopramide was the

    most common drug of choice in this study, while ondansetron was found to be the

    first-line antiemetic agent prescribed in the ED according to the studies conducted in

    India[1,5,10,13,15-17]

    . On top of that, excessive and often inappropriate utilisation of

    pantoprazole for gastrointestinal prophylaxis, which was found to be a common

    irrational prescribing practice in the EDs in India[1,5,10,13,15,17]

    was less frequently

    encountered in the ED in this study.

    5. LIMITATIONS

    This study also had some limitations in addition to other limitations usually associated

    with retrospective studies. Firstly, the information on the patients’ signs and

    symptoms were not collected, so the adequacy of drug choices based on the patients’

    underlying health problems cannot be determined. Secondly, the study was limited to

    the ED of only one hospital, thus the prescribing practices in the EDs of different

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    hospitals cannot be compared. Besides, due to the differences in disease trends, the

    results of this study cannot be generalised to other countries. Finally, the prescribing

    pattern in the ED, particularly average number of drugs per encounter and injection

    use rate was usually higher than that observed in other health facilities. Therefore, the

    standard optimal values recommended by WHO for these prescribing indicators may

    not be able to accurately assess the rationality of drug use in these areas in the ED.

    6. CONCLUSION

    In reference to the study findings, the values of WHO core drug prescribing indicators

    and IRDP were not in accordance to the recommended standards, indicating that

    irrational prescribing practices exist in the ED of the study hospital. Two priority drug

    use problems identified in the ED in the present study were tendency for

    polypharmacy and high usage of injectable medicines. Besides, generic prescribing,

    antibiotic prescribing and prescribing from EDL were also found to be suboptimal but

    to a lesser extent. These problems could potentially lead to various undesirable

    medical, social and economic consequences. In view of this, there is a need for

    rationalising the drug therapy in the emergency setting to ensure more cost-effective

    treatment of the patients.

    7. RECOMMENDATIONS

    Physicians play a pivotal role in improving the prescribing practices, thus continuous

    training and educational programs among the physicians are highly recommended in

    order to promote rational drug prescribing in ED. These programs should focus on

    encouraging the use of standard treatment guidelines, which help the prescribers to

    make decisions about appropriate treatment choices for specific health problems.

    Eventually, this could help to establish good prescribing habits, which lead to delivery

    of better healthcare services in the ED through the safe and cost-effective use of

    medicines.

    A variation in the drug utilisation pattern may exist between different health facilities.

    Therefore, further studies are required to compare the prescribing practices in the

    emergency settings in different hospitals. Through better knowledge of the nature and

    extent of irrational drug use, appropriate interventions and strategies to optimize the

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    use of medicines can be developed and implemented in order to achieve quality

    medical care for the patients. Besides, future studies should focus on investigating the

    factors contributing to the irrational prescribing practices as well as appropriate

    interventions to improve the rational use of drugs in ED.

    REFERENCES

    [1] Binu, K., Panavila, L., Sagar, V., Patil, S., & Doddayya, H. (2017). A

    prospective study on prescribing practices in emergency department of a tertiary

    care teaching hospital. European Journal of Pharmaceutical, 4(8), 287-291.

    Retrieved from

    http://www.ejpmr.com/admin/assets/article_issue/1501484601.pdf

    [2] Afriyie, D. K., Tetteh, & Raymond. (2014). A description of the pattern of

    rational drug use in Ghana Police Hospital. International Journal of Pharmacy

    and Pharmacology, 3(1), 143-148. Retrieved from

    https://www.researchgate.net/publication/259616919_A_description_of_the_pat

    tern_of_rational_drug_use_in_Ghana_Police_Hospital

    [3] WHO. (2002). Promoting rational use of medicines: core components. WHO

    policy perspectives on medicines. Geneva: World Health Organisation.

    Retrieved from Essential Medicines and Health Products Information Portal:

    http://apps.who.int/medicinedocs/en/d/Jh3011e/2.html

    [4] WHO. (2003). Introduction to drug utilization research. Geneva: World Health

    Organisation. Retrieved from http://apps.who.int/medicinedocs/en/d/Js4876e/

    [5] Pandey, K., & Khan, I. (2016). Drug prescribing patterns in patients visiting the

    emergency medicine department at a tertiary care teaching hospital: a

    prospective study. International Journal of Basic & Clinical Pharmacology,

    5(1), 163-168. doi:http://dx.doi.org/10.18203/2319-2003.ijbcp20160121

    [6] WHO. (2009). Medicines use in primary care in developing and transitional

    countries: Fact Book summarizing results from studies reported between 1990

    and 2006. Geneva: World Health Organisation. Retrieved from

    http://www.who.int/iris/handle/10665/70032

    [7] Nguyen, H., Wirtz, V., Haaijer-Ruskamp, F., & Taxis, K. (2012). Indicators of

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    quality use of medicines in South-East Asian countries: A systematic review.

    Tropical Medicine and International Health, 1552-1566. doi:10.1111/j.1365-

    3156.2012.03081.x

    [8] WHO. (1993). How to investigate drug use in health facilities: Selected drug use

    indicators – EDM research series No. 007. Geneva: World Health Organisation.

    Retrieved from http://www.apps.who.int/medicinedocs/en/d/Js2289e/

    [9] Zeraatchi, A., Talebian, M. T., Nejati, A., & Dashti-Khavidaki, S. (2013).

    Frequency and types of the medication errors in an academic emergency

    department in Iran: The emergent need for pharmacy services in emergency

    departments. Journal of Research in Pharmacy Practice, 2(3), 118-122.

    doi:10.4103/2279-042X.122384

    [10] Barot, P., Malhotra, S., Rana, D., Patel, V., & Patel, K. (2013). Drug utilization

    in emergency medicine department at a tertiary care teaching hospital: A

    prospective study. Journal of Basic and Clinical Pharmacy, 4(4), 78-81.

    doi:10.4103/0976-0105.121650

    [11] Dong, L., Yan, H., & Wang, D. (2010). Drug prescribing indicators in village

    health clinics across 10 provinces of Western China. Oxford University Press,

    63-67. doi:10.1093/fampra/cmq077

    [12] Atif, M., Scahill, S., Azeem, M., Sarwar, M. R., & Babar, Z. U. (2017). Drug

    utilization patterns in the global context: A systematic review. Health Policy and

    Technology, 457-470. doi:https://doi.org/10.1016/j.hlpt.2017.11.001

    [13] Cheekavolu, C., Pathapati, R., Laxmansingh, K., Saginela, S., Makineedi, V.,

    Siddalingappa, & Kumar, A. (2011). Evaluation of drug utilization patterns

    during initial treatment in the emergency room: A Retroprospective

    pharmacoepidemiological study. ISRN Pharmacology, 1-3.

    doi:10.5402/2011/261585

    [14] Kaur, S., Rajagopalan, S., Kaur, N., Shafiq, N., Bhalla, A., Pandhi, P., &

    Malhotra, S. (2014). Drug utilization study in medical emergency unit of a

    tertiary care hospital in North India. Emergency Medicine International, 1-5.

    doi:http://dx.doi.org/10.1155/2014/973578

    [15] Sulaiman Sait, M., Sarumathy, S., Anbu, J., & Ravichandiran, V. (2014). Study

    of drug utilization pattern in a tertiary care hospital during the inpatient

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018

    admittance in the emergency care department. Asian Journal of Pharmaceutical

    and Clinical Research, 7(1), 146-148

    [16] Patidar, R., & Pichholiya, M. (2016). Analysis of drugs prescribed in emergency

    medicine department in a tertiary care teaching hospital in southern Rajasthan.

    International Journal of Basic & Clinical Pharmacology, 5(6), 2496-2499.

    doi:http://dx.doi.org/10.18203/2319-2003.ijbcp20164111

    [17] Mamatha, V., Parashivamurthy, B., & Suneetha, D. (2017). Study of drug

    utilization pattern in emergency medicine ward at a tertiary care teaching

    hospital. International Journal of Basic & Clinical Pharmacology, 6(4), 868-

    873. doi:http://dx.doi.org/10.18203/2319-2003.ijbcp20171095

    [18] GMMMG. (2013). Benefits of Generic Prescribing. Generic Prescribing

    Guidelines. Retrieved from

    http://gmmmg.nhs.uk/docs/guidance/GMMMG%20Generic%20Prescribing%20

    Guidelines

    [19] WHO. (2000). The Use of Essential Drugs: Ninth Report of the WHO Expert

    Committee. Geneva: World Health Organisation. Retrieved from

    http://apps.who.int/medicinedocs/en/d/Js2281e/1.html

    [20] Al Balushi, K., Al-Shibli, S., & Al-Zakwani, I. (2014). Drug utilization patterns

    in the emergency department: A retrospective study. Journal of Basic and

    Clinical Pharmacy, 5(1), 1-6. doi:10.4103/0976-0105.128226

    [21] Alkahtani, S. (2018). Drug utilization patterns in the emergency department of

    Najran University Hospital, Najran. Journal of Pharmacy Practice and

    Community Medicine, 4(1), 12-15. doi:http://dx.doi.org/10.5530/jppcm.2018.1.4

    [22] Yadav, A., Bhandari, R., Rai, B., Giri, S., Baral, D., & Mandal, M. (2014).

    Presentation, prescription pattern and time taken to discharge from an

    emergency department of Eastern Nepal. Health Renaissance, 12(3), 209-214.

    [23] Zhang, Y., & Zhi, M. (1995). Index system, appraising method for

    comprehensive appraisal. J North Jiaotong Univ, 19, 393-400.

    [24] Trostle, J. (1996). Inappropriate distribution of medicines by professionals in

    developing countries. Soc Sci Med, 42(8), 1117-1120.

    doi:https://doi.org/10.1016/0277-9536(95)00384-3

  • ASIA Journal of Management (AJM) Vol 1 No 10 November 2018