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 (916) Formative Studies and eHealth/mHealth Development (543) Development of Instruments and Surveys (92) mHealth for Data Collection and Research (1080) Usability of Apps and User Perceptions of mHealth (1081) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (633) Health Services in Resource-Poor Settings and LMICs (461)

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 Gibson1 Author Orcid Image ;   Brooke A Farrenkopf1 Author Orcid Image ;   Amanda Pereira1 Author Orcid Image ;   Alain B Labrique1 Author Orcid Image ;   George William Pariyo1 Author Orcid Image
Article Authors Cited by (15) 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) 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
  10. Kibria G, Nayeem J, Malta M. Trends and factors associated with mobile phone ownership among women of reproductive age in Bangladesh. PLOS Global Public Health 2023;3(5):e0001889 View
  11. Labrique A, Nagarajan M, Kibria G, Vecino-Ortiz A, Pariyo G, Ali J, Kaufman M, Gibson D, Pry J. 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;18(5):e0285155 View
  12. Khan I, Shano S, Islam K, Shahnaz S, Al Kibria G, Pariyo G, Ali J, Gibson D, Rahman M. Understanding community perception and acceptability of interactive voice response survey method: findings from formative research in Bangladesh.. Oxford Open Digital Health 2023;1 View
  13. Umar N, Hill Z, Schellenberg J, Sambo N, Shuaibu A, Aliyu A, Kulani K, Abdullahi M, Usman A, Mohammed H, Adamu H, Ibrahim M, Mohammed A, Abdulhamid A, Muhammed Z, Alfayo A, Marchant T. Understanding rural women's preferences for telephone call engagement with primary health care providers in Nigeria: a discrete choice experiment. BMJ Global Health 2023;8(12):e013498 View
  14. Vecino-Ortiz A, Guzman-Tordecilla D, Maniar V, Agudelo-Londoño S, Franco-Suarez O, Aya Pastrana N, Rodríguez-Patarroyo M, Mejía-Rocha M, Cardona J, Chavez Chamorro M, Gibson D. Mobile Phone Syndromic Surveillance for Respiratory Conditions in an Emergency (COVID-19) Context in Colombia: Representative Survey Design. Journal of Medical Internet Research 2024;26:e50184 View
  15. Shamebo D, Derseh Mebratie A, Arsenault C. Using an Interactive Voice Response Survey to Assess Patient Satisfaction in Ethiopia: Development and Feasibility Study. JMIR Formative Research 2025;9:e67452 View