Www.ifrc.org Saving lives, changing minds. RAMP S urvey Changing the way we collect data in Surveys Presented by Jenny Cervinskas, Bong Duke and Laimi

www.ifrc.orgSaving lives, changing minds.

RAMP Survey < Rapid Mobile Phone-based >

Changing the way we collect data in Surveys

Presented by Jenny Cervinskas, Bong Duke

and Laimi Onesmus

Windhoek, Namibia

February 7, 2012


Outline

• Background to the survey• Preliminary results• Survey report• Q&A/Discussion• Next steps?


With the RAMP you automate your survey

Conduct surveys and enter data

using a standard mobile phone

Manage surveys, people and data from your web-based server


How does it work?

RAMP survey site: Caprivi region, Namibia


Caprivi region (north eastern Namibia) Ongoing NRC project on Communities Fighting Malaria Malaria a serious public health program Malaria prevention and control strategies being implemented RAMP malaria indicators survey provides a measure for some

of the project’s key indicators, and for some of the Namibia’s core malaria indicators

Mobile network coverage (MTC provider)

Site and project identification


Survey Objectives

Estimate ITN ownership Proportion of individuals with access to an ITN in the

household (assuming one ITN covers two persons) Proportion of households with one or more ITNs.


Estimate ITN use Proportion of all persons in the household that slept

under an ITN the previous night Proportion of children < 5 years old who slept under

an ITN the previous night Percentage of ITNs that were used last night.


To assess ITN ownership and usage by household socio-economic status

To measure the proportion of households with at least one ITN and/or sprayed by IRS in the past 12 months.


To measure prompt access to effective treatment and use of diagnostics Proportion of children < 5 years old with fever in the

last two weeks who received anti-malarial treatment according to national policy

Proportion of children < 5 years old with fever in the last two weeks who had a finger or heel stick.


Modeled after the standardized MIS (malaria indicator survey) questionnaires Household questionnaire Person roster/Treatment and diagnosis of fever in

under-fives Net roster◦ Types of bednets, source of nets, age of nets, who

slept under each ne, number of people that slept under each net

Survey questionnaires


Standard survey methodology used in a RAMP survey 1st stage: standard probability-proportional-to-

estimated-size (PPES) selection of clusters Master Sampling frame:, 2008 (from Bureau of Statistics)

2nd stage: PPES to segment the cluster Selection of households- simple random sampling

(SRS) to choose 10 households/cluster

Survey methods

300 Households30 clusters, 10 households/cluster, total of 300 households in the survey sample


NRC volunteers that serve as supervisors in the CFM project (interviewers)

12 of the 18 had been involved in the 2011 RAMP survey in Caprivi

Training – 4 days (January 2012) in Katima Mulilo

Recruitment of surveyors

Training

Adapted from the RAMP survey curriculum and guide

Content Cellphone basics Questionnaires Informed consent Interview techniques Field procedures Field logistics/reporting Supervisor training

Methods Presentations, role play, group

discussion, demonstrations, field practice, energizers

Red Cross volunteers carried out the interviews

Six teams- two interviewers and one supervisor per team

+Survey Supervisory Support Team

Fieldwork

Locating the households Household interview

SENDING DATA TO THE SERVER

SENDING DATA TO THE SERVER

Real-time data editing and cleaning

Data is monitored remotelyDaily data editing and cleaning

Survey Team Debriefing: 1 day after last interviews

Presentation and discussion of preliminary results

Award of certificates

“I feel happy knowing how to collect data with the cellphone”

Organizers are happy the survey was completed successfully


Preliminary Results- RAMP malaria survey

Caprivi region

January-February 2012 survey


Survey results bulletin & report

Survey Report


Results: key indicators, HH questionnaire


Access: Just 52% of ITNs needed to reach universal coverage are present. Gap is 48%.

Key indicators

Target population 46,727

Persons per net 1.88

ITNs needed 11,816

Survey-estimated ITNs in HH of target pop

13,038 (52%)

ITN/LLIN need/gap 11,416 (48%)


Results: High percentage of ITNs are being used. Use gap is due to insufficient ownership of ITNs

Key indicators Point estimate

% ITNs that were slept under last night 94%

% ITNs that were hung last night 94%

ITN use, all ages 44%

ITN use, <5 yo 55%


ITN use by age group


Age in months % Cum. %<1 Year 15 151 Year 28 432 Years 16 583 Years 26 854 Years 6 91>5 Years 5 96

Age of ITNs

* 97% of nets were LLINs


Number of persons sleeping under ITN last night %, nets

1 person 33

2 persons 48

3 persons 16

4 persons 2

Number of persons under a ITN last night


Children Tested and Treated for Malaria

Key indicators %

Children with Fever within the last two weeks 49

% who received a heel or finger stick 25

% who received ACT 29

% who received ACT within 24hrs of fever 22

% who received any anti-malarial 46

- Denominator for all indicators was % of children <5y with fever in the previous two weeks


A main message…

There is an ITN gap The # ITNs in the whole survey domain=

52% of the need The gap is 15,965 nets (11,816+4,149)


So, does the RAMP “work”?

RAMPS Namibia February 2012 Daily data cleaning accomplished Preliminary survey results bulletin finished within

24 hours Preliminary report finished within 72 hours Provided excellent management information on

the key indicators

RAMP has made surveying EASY!!!

“I feel happy knowing how to collect data with the cellphone”

Organizers are happy the survey was completed successfully


Take time to prepare cellphones prior to the survey Establish strong working partnerships Develop and implement a capacity building plan, with

dedicated human resources Data entry: worked well, all teams were able to collect

data using the cellphone and send to server Red Cross volunteers with secondary school education

can collect data in the field

Lessons learned


What’s next?

Extract lessons learned from Namibia and apply in next survey Implement RAMP malaria and other health surveys in Africa

and other continents Finalize and disseminate the RAMP survey technical manual

and the training manual Continue developing strategies for technical support in order to

gradually reduce external support Test the RAMP in other sectors and disciplines if appropriate Continue searching for innovative ways to collect data in a

timely fashion in order to better serve the communities we work in


Thank youAny questions?


THANK

YOU


THANK

YOU


Thank you!


Extra Photos & Information


Purpose of the RAMP survey

To provide a survey methodology in which Red Cross and Red Crescent National Societies, governments and other partners can conduct health surveys at reduced cost, with limited external technical assistance achieve high standards of survey design and quality

To dramatically decrease the time that data is available for decision making

To use mobile phones and a web-based, freely accessible software domain as a data collection technique to conduct health surveys.


Key Features of the RAMP survey

Web based questionnaire design using EpiSurveyor Questionnaire forms are uploaded to standard mobile

phones Data is collected using low cost, familiar and widely

available mobile phones (e.g. Nokia, Samsung) Has an accompanying training manual, technical manual,

and tools adaptable to your setting/your environment Data can be exported to Microsoft Excel, as a text file,

and in Mdb format Allows for rapid analysis and reporting of survey results


Traditional Paper and Pencil Questionnaire

The time and monetary costs of data collection can be substantially reduced if mobile phone data collection is used in place of the traditional paper and pencil method that has been the best practice in health surveys for decades


Web Based Server

Create a free account using EpiSurveyor software

Access your web based server from a web browser anywhere in the world

Design your questionnaire with single or multiple languages

Monitor, manage and communicate with your team

Export data and analyze results in real-time.



Why use mobile phones to collect data? Real-time data entry on cell phones Limitless upload of data from cell phone over cell network to

internet database Real-time data monitoring and data quality checks Real-time data cleaning and analysis Rapid production of survey results within minutes of last

interview


Stakeholder benefits

Decision Makers• No software licensing or subscriptions • Optimizes resource usage and reduces environmental impact• Maintain data security and respondent confidentiality• Scalable solution for teams and studies of varying sizes

Evaluators/Researchers• Incorporate a multitude of question types with custom logic and validation• Manage and upload surveys in multiple languages• Monitor staff work rate, productivity and quality• Export data for custom analysis with your favourite statistical analysis package

Fieldworkers• Conduct surveys anywhere, even in areas with no network coverage• Use standard and familiar mobile phones• Minimal training requirements• No more paper to collect, transport or return• Automated submission of data when network reception is available


RAMP malaria survey: Namibia provides leadership


Cellphone-based Surveys: Summary Points

REAL-TIME DATA AVAILABILITY AND ANALYSIS Via your web-based server, responses may be viewed, monitored and exported

instantly

IMPROVED DATA INTEGRITYThe removal of paper from the research process reduces the number of points at which error can be introduced

FIELDWORKER MONITORING/MANAGEMENT Monitor the productivity and quality of research conducted by field staff (GPS, time

and date stamp)

ENHANCED MOBILITY Do not need network coverage to conduct surveys, responses are stored securely on

the mobile phone, thus can reach even the most remote communities

OPTIMISED RESOURCE USAGE Save on survey printing, distribution and collection costs

49% of households are headed by women


Morning briefing (“quality round”)

Locating the chosen cluster and selecting the

households to be interviewed

Conduct interviews at HH level

Supervisor sends data to server

Data cleaning and analysis

A day’s schedule

Documents

Www.ifrc.org Saving lives, changing minds. RAMP S urvey Changing the way we collect data in Surveys Presented by Jenny Cervinskas, Bong Duke and Laimi