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| Name | Class |
|---|---|
| Ifakara Health Institute | OTHER |
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This study focuses on mechanisms to adapt the performance of interactive voice response (IVR) and short message service (SMS) surveys conducted in low-and middle-income (LMIC) setting (Tanzania) and evaluates how the two survey modalities (IVR and SMS) affect survey metrics, including response, completion and attrition rates.
Using random digit dialing (RDD) sampling technique, participants will be randomized to one of two arms : 1) IVR or 2) SMS. Participants in the first study arm will receive an IVR survey. Participants in the second study arm will receive a SMS survey. The IVR and SMS questionnaires contain a set of demographic questions and one non-communicable disease (NCD) module (alcohol, or tobacco, or diet, or physical activity, or blood pressure and diabetes). We will examine contact, response, refusal and cooperation rates and demographic representativeness by each study arm.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| IVR survey | Experimental | Participants will receive an IVR survey |
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| SMS survey | Experimental | Participants will receive an SMS survey |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| IVR survey | Other | Participants will receive an IVR survey |
| |
| Measure | Description | Time Frame |
|---|---|---|
| Cooperation Rate #1 | As defined by American Association for Public Opinion Research, cooperation rate is defined as I/(I+P+R) where I is the number of participants with complete interviews, P is the number of participants with partial interviews, and R is the number of participants with 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 the number of participants with complete interviews, P is the number of participants with partial interviews, R is the number of participants with refusals and breakoffs, and eU is the estimated eligible proportion of unknowns | Through study completion, an average of one month |
| Measure | Description | Time Frame |
|---|---|---|
| Refusal Rate #2 | As defined by American Association for Public Opinion Research, refusal rate is defined as (R)/(I+P+R+eU) where R is the number of participants with refusals and breakoffs, I is the number of participants with complete interviews, P is the number of participants with partial interviews, and eU is the estimated eligible proportion of unknowns | Through study completion, an average of one month |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Dustin Gibson, PhD | Johns Hopkins University Bloomberg School of Public Health | Principal Investigator |
| Honorati Masanja, PhD | Ifakara Health Institute | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Ifakara Health Institute | Dar es Salaam | Tanzania |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 28476729 | Background | 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. | |
| 28476725 | Background |
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| ID | Term |
|---|---|
| D000073296 | Noncommunicable Diseases |
| ID | Term |
|---|---|
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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Participants will be randomized to one of two arms : 1) IVR or 2) SMS. Participants in the first study arm will receive an IVR survey. Participants in the second study arm will receive a SMS survey.
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| SMS survey |
| Other |
Participants will receive a SMS survey |
|
| Contact Rate #2 | As defined by American Association for Public Opinion Research, contact rate is defined as (I+P+R)/(I+P+R+eU) where I is the number of participants with complete interviews, P is the number of participants with partial interviews, R is the number of participants with refusals and breakoffs, and eU is the estimated eligible proportion of unknowns | Through study completion, an average of one month |
| Gibson 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. |
| 28476724 | Background | Gibson 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. |
| 28476722 | Background | Hyder 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. |