Use of Airtime Timing to Improve Interactive Voice Response Surveys in Bangladesh and Uganda
A Randomized Controlled Trial of Varying Airtime Incentive Timing to Improve Interactive Voice Response (IVR) Survey Performance in Bangladesh and Uganda
1 other identifier
interventional
2,287
2 countries
2
Brief Summary
This study evaluates the effect of two different airtime incentive timings on interactive voice response (IVR) survey cooperation, response, refusal and contact rates, as compared to a control group, in Bangladesh and Uganda.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Mar 2017
Shorter than P25 for not_applicable
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
March 26, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 1, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
November 1, 2017
CompletedFirst Submitted
Initial submission to the registry
August 12, 2020
CompletedFirst Posted
Study publicly available on registry
August 14, 2020
CompletedMay 10, 2023
August 1, 2020
7 months
August 12, 2020
May 9, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Cooperation Rate #1
As defined by American Association for Public Opinion Research, cooperation rate is defined as I/(I+P+R) where I is complete interviews, P is partial interviews, and R is refusals and breakoffs.
Through study completion, an average of one month
Response Rate #4
As defined by American Association for Public Opinion Research, response rate is defined as (I+P)/(I+P+R+eU) where I is complete interviews, P is partial interviews, R is refusals and breakoffs, and eU is the estimated eligible proportion of unknowns
Through study completion, an average of one month
Secondary Outcomes (2)
Refusal Rate #2
Through study completion, an average of one month
Contact Rate #2
Through study completion, an average of one month
Study Arms (3)
Control
NO INTERVENTIONNo Airtime Incentive was given for completing the survey
Pre-survey incentive
EXPERIMENTAL0.1X incentive before the survey, 1X afterwards
Post-survey incentive
EXPERIMENTAL1X incentive after the survey
Interventions
An incentive of is given in the form of airtime to motivate participants to complete the survey. Participants were sent 0.1X before the were sent a mobile phone survey and an additional 1X after completing the survey.
An incentive in the form of airtime to motivate participants to complete the survey. Participants were given Bangladeshi Taka or Ugandan Shillings worth of certain airtime for completing the survey.
Eligibility Criteria
You may qualify if:
- Access to a mobile phone
- Greater or equal to 18 years of age
- In Bangladesh, conversant in either English or Bangla language. In Uganda, conversant in either Luo, Luganda, Runyakitara, or English languages.
You may not qualify if:
- Less than 18 years of age
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (2)
Institute of Epidemiology Disease Control and Research
Dhaka, Bangladesh
Makerere University School of Public Health
Kampala, Uganda
Related Publications (4)
Gibson DG, Pariyo GW, Wosu AC, Greenleaf AR, Ali J, Ahmed S, Labrique AB, Islam K, Masanja H, Rutebemberwa E, Hyder AA. Evaluation of Mechanisms to Improve Performance of Mobile Phone Surveys in Low- and Middle-Income Countries: Research Protocol. JMIR Res Protoc. 2017 May 5;6(5):e81. doi: 10.2196/resprot.7534.
PMID: 28476729BACKGROUNDGibson DG, Pereira A, Farrenkopf BA, Labrique AB, Pariyo GW, Hyder AA. Mobile Phone Surveys for Collecting Population-Level Estimates in Low- and Middle-Income Countries: A Literature Review. J Med Internet Res. 2017 May 5;19(5):e139. doi: 10.2196/jmir.7428.
PMID: 28476725BACKGROUNDGibson DG, Farrenkopf BA, Pereira A, Labrique AB, Pariyo GW. The Development of an Interactive Voice Response Survey for Noncommunicable Disease Risk Factor Estimation: Technical Assessment and Cognitive Testing. J Med Internet Res. 2017 May 5;19(5):e112. doi: 10.2196/jmir.7340.
PMID: 28476724BACKGROUNDHyder AA, Wosu AC, Gibson DG, Labrique AB, Ali J, Pariyo GW. Noncommunicable Disease Risk Factors and Mobile Phones: A Proposed Research Agenda. J Med Internet Res. 2017 May 5;19(5):e133. doi: 10.2196/jmir.7246.
PMID: 28476722BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Adnan A Hyder, PhD, MBBS
Johns Hopkins University Bloomberg School of Public Health
- PRINCIPAL INVESTIGATOR
George W. Pariyo, PhD
Johns Hopkins University Bloomberg School of Public Health
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Purpose
- OTHER
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
August 12, 2020
First Posted
August 14, 2020
Study Start
March 26, 2017
Primary Completion
November 1, 2017
Study Completion
November 1, 2017
Last Updated
May 10, 2023
Record last verified: 2020-08
Data Sharing
- IPD Sharing
- Will not share