Web Survey Bibliography
Title Collecting Data from mHealth Users via SMS Surveys: A Case Study in Kenya
Author Johnson, D.
Source Survey Practice, 9, 1
Year 2016
Access date 14.03.2016
Full text pdf (645 KB)
Abstract We report results from a set of experimental surveys designed to assess the feasibility of using SMS surveys to collect data on users of a mHealth service in Kenya. We sent a short set of five or six questions to all new users of Mobiles for Reproductive Health, an SMS-based service in Kenya which provides information on family planning methods. The timing of the survey, the talk-time incentive offered for completing the survey, and access to the family planning service were randomized to estimate the impact of these factors on response rates. In addition, a subset of users was sent a second follow-up survey 5 to 11 weeks later. We find that 39.5 percent of users began the first survey and 20.9 percent of users completed all questions on the first survey. In contrast, 28.4 percent of users began the second survey and 14.1 percent of users completed the second survey. The vast majority of responses received were properly formatted and comprehensible. Survey timing, survey incentives for completion, and access to treatment had no effect on the response rates for either the first or second surveys. Our results indicate that SMS surveys are a feasible mode of data collection for our population of interest and, for this population, do not require individual financial incentives to encourage response.
Access/Direct link Journal Homepage (Abstract) / (Full text)
Year of publication2016
Bibliographic typeJournal article
Web survey bibliography - Mobile phone surveys (305)
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- Short and Sweet? Length and Informative Content of Open-Ended Responses Using SMS as a Research Mode; 2016; Walsh, E.; Brinker, J. K.
- Collecting Data from mHealth Users via SMS Surveys: A Case Study in Kenya; 2016; Johnson, D.
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- Using Mobile Phones for High-Frequency Data Collection; 2015; Azevedo, J. P.; Ballivian, A.; Durbin, W.
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- Emerging Technologies: The Rise of Mobile Devices: From Smartphones to Smart Surveys; 2015; Buskirk, T. D.
- PayPal? An Incentive to Check-out?; 2015; Franklin, J.; Rasmussen, C.; Pruitt, J.; Waller, D.
- Designing Bonsai Surveys: The small but perfectly formed survey experience to meet the needs of the...; 2015; Puleston, J.
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- The need of and the demand for completing surveys on mobile devices; 2014; Toninelli, D., Revilla, M., Ochoa, C.
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- Keeping Surveys Valid, Reliable, and Useful: A Tutorial; 2014; Greenberg, M. R., Weiner, M. D.
- Improving Response Rates and Questionnaire Design for Mobile Web Surveys; 2014; de Bruijne, M., Wijnant, A.
- Does Survey Mode Still Matter? Findings from a 2010 Multi-Mode Comparison; 2014; Ansolabehere, S., Schaffner, B. F.
- Nonresponse and Mode Effects in Self- and Interviewer-Administered Surveys; 2014; Atkeson, L. R.; Adams, A. N.; Alvarez, M. R.
- Do Web surveys facilitate reporting less favourable opinions about law enforcement?; 2014; Boivin, R., Cordeau, G.
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- The Grouping of Items in Mobile Web Surveys; 2014; Mavletova, A. M., Couper, M. P.
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- Students First Choice – the influence of mobile mode on results; 2014; Maxl, E.
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- Moving towards mobile ready web panels; 2014; Wijnant, A., de Bruijne, M.
- Online mobile surveys in Italy: coverage and other methodological challenges; 2014; Poggio, T.
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