Use of Narrative Voice and Introduction Content to Improve Interactive Voice Response Surveys in Bangladesh and Uganda
A Randomized Controlled Trial of Narrative Voice and Introduction Content to Improve Interactive Voice Response (IVR) Survey Performance in Bangladesh and Uganda
1 other identifier
interventional
5,580
2 countries
2
Brief Summary
This study evaluates the effect of two different narrative voices (one male and one female) and two different introductions (one with informational content and the other with additional motivational content) on interactive voice response (IVR) survey cooperation, response, refusal, and contact rates, as compared to a control group (male, informational), 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
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
March 26, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 17, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
July 17, 2017
CompletedFirst Submitted
Initial submission to the registry
December 10, 2018
CompletedFirst Posted
Study publicly available on registry
December 11, 2018
CompletedMay 10, 2023
December 1, 2018
4 months
December 10, 2018
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 (4)
Male Informational
EXPERIMENTALMale voice, informational introduction
Male Motivational
EXPERIMENTALMale voice, motivational introduction
Female Informational
EXPERIMENTALFemale voice, informational introduction
Female Motivational
EXPERIMENTALFemale voice, motivational introduction
Interventions
The survey introduction was worded to include motivational content
The survey introduction was worded to include informational content
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
- Johns Hopkins Bloomberg School of Public Healthlead
- The Bloomberg Family Foundation, Inc.collaborator
- Makerere Universitycollaborator
- Institute of Epidemiology, Disease Control and Researchcollaborator
Study Sites (2)
Institute of Epidemiology Disease Control and Research
Dhaka, Bangladesh
Makerere University School of Public Health
Kampala, Uganda
Related Publications (5)
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: 28476722BACKGROUNDLabrique A, Nagarajan M, Kibria GMA, Vecino-Ortiz A, Pariyo GW, Ali J, Kaufman MR, Gibson D. Improving success of non-communicable diseases mobile phone surveys: Results of two randomized trials testing interviewer gender and message valence in Bangladesh and Uganda. PLoS One. 2023 May 24;18(5):e0285155. doi: 10.1371/journal.pone.0285155. eCollection 2023.
PMID: 37224125DERIVED
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
December 10, 2018
First Posted
December 11, 2018
Study Start
March 26, 2017
Primary Completion
July 17, 2017
Study Completion
July 17, 2017
Last Updated
May 10, 2023
Record last verified: 2018-12
Data Sharing
- IPD Sharing
- Will not share