Published on in Vol 6, No 5 (2017): May

Evaluation of Mechanisms to Improve Performance of Mobile Phone Surveys in Low- and Middle-Income Countries: Research Protocol

Evaluation of Mechanisms to Improve Performance of Mobile Phone Surveys in Low- and Middle-Income Countries: Research Protocol

Evaluation of Mechanisms to Improve Performance of Mobile Phone Surveys in Low- and Middle-Income Countries: Research Protocol

Journals

  1. Islam Bhuyian M, Saxton R, Hasan K, Masud J, Zohura F, Monira S, Kumar Biswas S, Tasdik Hasan M, Parvin T, Minhaj I, Md. Zillur Rahman K, Papri N, Rashid M, Sharin L, Teman A, Thomas E, Alland K, Labrique A, Sack D, Perin J, Alam M, George C. Process evaluation for the delivery of a water, sanitation and hygiene mobile health program: findings from the randomised controlled trial of the CHoBI7 mobile health program. Tropical Medicine & International Health 2020;25(8):985 View
  2. 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
  3. LeFevre A, Scott K, Mohan D, Shah N, Bhatnagar A, Labrique A, Dhar D, Chamberlain S, Ved R. Development of a Phone Survey Tool to Measure Respectful Maternity Care During Pregnancy and Childbirth in India: Study Protocol. JMIR Research Protocols 2019;8(4):e12173 View
  4. Greenleaf A, Gibson D, Khattar C, Labrique A, Pariyo G. Building the Evidence Base for Remote Data Collection in Low- and Middle-Income Countries: Comparing Reliability and Accuracy Across Survey Modalities. Journal of Medical Internet Research 2017;19(5):e140 View
  5. Pariyo G, Greenleaf A, Gibson D, Ali J, Selig H, Labrique A, Al Kibria G, Khan I, Masanja H, Flora M, Ahmed S, Hyder A, Maulik P. Does mobile phone survey method matter? Reliability of computer-assisted telephone interviews and interactive voice response non-communicable diseases risk factor surveys in low and middle income countries. PLOS ONE 2019;14(4):e0214450 View
  6. Greenleaf A, Gadiaga A, Guiella G, Turke S, Battle N, Ahmed S, Moreau C, Ngure K. Comparability of modern contraceptive use estimates between a face-to-face survey and a cellphone survey among women in Burkina Faso. PLOS ONE 2020;15(5):e0231819 View
  7. 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
  8. Tweheyo R, Selig H, Gibson D, Pariyo G, Rutebemberwa E. User Perceptions and Experiences of an Interactive Voice Response Mobile Phone Survey Pilot in Uganda: Qualitative Study. JMIR Formative Research 2020;4(12):e21671 View
  9. Ashigbie P, Rockers P, Laing R, Cabral H, Onyango M, Mboya J, Arends D, Wirtz V. Phone-based monitoring to evaluate health policy and program implementation in Kenya. Health Policy and Planning 2021;36(4):444 View
  10. 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
  11. Greenleaf A, Mwima G, Lethoko M, Conkling M, Keefer G, Chang C, McLeod N, Maruyama H, Chen Q, Farley S, Low A. Participatory surveillance of COVID-19 in Lesotho via weekly calls: Protocol for cell phone data collection (Preprint). JMIR Research Protocols 2021 View