This paper is in the following e-collection/theme issue:

JHU Theme Issue (2017): Use of mobile technologies for national-scale population surveys (Guest Editors: Rosskam, Hyder) (10) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (658) Formative Studies and eHealth/mHealth Development (498) Development of Instruments and Surveys (64) mHealth for Data Collection and Research (745) Usability of Apps and User Perceptions of mHealth (770) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (448) Health Services in Resource-Poor Settings and LMICs (327)

Published on in Vol 19 , No 5 (2017) :May

The Development of an Interactive Voice Response Survey for Noncommunicable Disease Risk Factor Estimation: Technical Assessment and Cognitive Testing

The Development of an Interactive Voice Response Survey for Noncommunicable Disease Risk Factor Estimation: Technical Assessment and Cognitive Testing

The Development of an Interactive Voice Response Survey for Noncommunicable Disease Risk Factor Estimation: Technical Assessment and Cognitive Testing

Authors of this article:

Dustin G Gibson 1 Author Orcid Image ;   Brooke A Farrenkopf 1 Author Orcid Image ;   Amanda Pereira 1 Author Orcid Image ;   Alain B Labrique 1 Author Orcid Image ;   George William Pariyo 1 Author Orcid Image
Article Authors Cited by (9) Tweetations (5) Metrics

Journals

  1. Rosskam E, Hyder A. Using mHealth to Predict Noncommunicable Diseases: A Public Health Opportunity for Low- and Middle-Income Countries. Journal of Medical Internet Research 2017;19(5):e129 View
  2. Scott K, Gharai D, Sharma M, Choudhury N, Mishra B, Chamberlain S, LeFevre A. Yes, no, maybe so: the importance of cognitive interviewing to enhance structured surveys on respectful maternity care in northern India. Health Policy and Planning 2019 View
  3. Ssemugabo C, Rutebemberwa E, Kajungu D, Pariyo G, Hyder A, Gibson D. Acceptability and Use of Interactive Voice Response Mobile Phone Surveys for Noncommunicable Disease Behavioral Risk Factor Surveillance in Rural Uganda: Qualitative Study. JMIR Formative Research 2019;3(4):e15000 View
  4. Torres-Quintero A, Vega A, Gibson D, Rodriguez-Patarroyo M, Puerto S, Pariyo G, Ali J, Hyder A, Labrique A, Selig H, Peñaloza R, Vecino-Ortiz A. Adaptation of a mobile phone health survey for risk factors for noncommunicable diseases in Colombia: a qualitative study. Global Health Action 2020;13(1):1809841 View
  5. Vecino-Ortiz A, Nagarajan M, Katumba K, Akhter S, Tweheyo R, Gibson D, Ali J, Rutebemberwa E, Khan I, Labrique A, Pariyo G. A cost study for mobile phone health surveys using interactive voice response for assessing risk factors of noncommunicable diseases. Population Health Metrics 2021;19(1) View
  6. Gibson D, Kibria G, Pariyo G, Ahmed S, Ali J, Labrique A, Khan I, Rutebemberwa E, Flora M, Hyder A. Promised and Lottery Airtime Incentives to Improve Interactive Voice Response Survey Participation Among Adults in Bangladesh and Uganda: Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(5):e36943 View
  7. Ali J, Nagarajan M, Mwaka E, Rutebemberwa E, Vecino-Ortiz A, Quintero A, Rodriguez-Patarroyo M, Maniar V, Al Kibria G, Labrique A, Pariyo G, Gibson D, Rashid T. Remote consent approaches for mobile phone surveys of non-communicable disease risk factors in Colombia and Uganda: A randomized study. PLOS ONE 2022;17(12):e0279236 View
  8. Gibson D, Wosu A, Pariyo G, Ahmed S, Ali J, Labrique A, Khan I, Rutebemberwa E, Flora M, Hyder A. Effect of airtime incentives on response and cooperation rates in non-communicable disease interactive voice response surveys: randomised controlled trials in Bangladesh and Uganda. BMJ Global Health 2019;4(5):e001604 View
  9. Umar N, Hill Z, Schellenberg J, Tuncalp Ö, Muzigaba M, Sambo N, Shuaibu A, Marchant T, Tappis H. Women’s perceptions of telephone interviews about their experiences with childbirth care in Nigeria: A qualitative study. PLOS Global Public Health 2023;3(4):e0001833 View