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

Building the Evidence Base for Remote Data Collection in Low- and Middle-Income Countries: Comparing Reliability and Accuracy Across Survey Modalities

Building the Evidence Base for Remote Data Collection in Low- and Middle-Income Countries: Comparing Reliability and Accuracy Across Survey Modalities

Building the Evidence Base for Remote Data Collection in Low- and Middle-Income Countries: Comparing Reliability and Accuracy Across Survey Modalities

Journals

  1. Shah N, Mohan D, Agarwal S, Scott K, Chamberlain S, Bhatnagar A, Labrique A, Indurkar M, Ved R, LeFevre A, Evans D. Novel approaches to measuring knowledge among frontline health workers in India: Are phone surveys a reliable option?. PLOS ONE 2020;15(6):e0234241 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. Lamanna C, Hachhethu K, Chesterman S, Singhal G, Mwongela B, Ng’endo M, Passeri S, Farhikhtah A, Kadiyala S, Bauer J, Rosenstock T, West B. Strengths and limitations of computer assisted telephone interviews (CATI) for nutrition data collection in rural Kenya. PLOS ONE 2019;14(1):e0210050 View
  4. Cheelo M, Brugha R, Bijlmakers L, Kachimba J, McCauley T, Gajewski J. Surgical Capacity at District Hospitals in Zambia: From 2012 to 2016. World Journal of Surgery 2018;42(11):3508 View
  5. LeFevre A, Shah N, Bashingwa J, George A, Mohan D. Does women’s mobile phone ownership matter for health? Evidence from 15 countries. BMJ Global Health 2020;5(5):e002524 View
  6. 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
  7. 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
  8. Pima F, Oshosen M, Ngowi K, Habte B, Maro E, Teffera B, Kisigo G, Swai I, Msangi S, Ermias A, Mmbaga B, Both R, Sumari-de Boer M. Feasibility of Using Short Message Service and In-Depth Interviews to Collect Data on Contraceptive Use Among Young, Unmarried, Sexually Active Men in Moshi, Tanzania, and Addis Ababa, Ethiopia: Mixed Methods Study With a Longitudinal Follow-Up. JMIR Formative Research 2019;3(2):e12657 View
  9. Greenleaf A, Gadiaga A, Choi Y, Guiella G, Turke S, Battle N, Ahmed S, Moreau C. Automated and Interviewer-Administered Mobile Phone Surveys in Burkina Faso: Sociodemographic Differences Among Female Mobile Phone Survey Respondents and Nonrespondents. JMIR mHealth and uHealth 2020;8(7):e17891 View
  10. Greenleaf A, Ahmed S, Moreau C, Guiella G, Choi Y. Cell phone ownership and modern contraceptive use in Burkina Faso: implications for research and interventions using mobile technology. Contraception 2019;99(3):170 View
  11. Pattnaik A, Mohan D, Chipokosa S, Wachepa S, Katengeza H, Misomali A, Marx M. Testing the validity and feasibility of using a mobile phone-based method to assess the strength of implementation of family planning programs in Malawi. BMC Health Services Research 2020;20(1) View
  12. Drake A, Rothschild C, Jiang W, Ronen K, Unger J. Utility of Short Message Service (SMS) for Remote Data Collection for HIV in Low- and Middle-Income Countries. Current HIV/AIDS Reports 2020;17(6):654 View
  13. Cowley E, Watson P, Foweather L, Belton S, Mansfield C, Whitcomb-Khan G, Cacciatore I, Thompson A, Thijssen D, Wagenmakers A. Formative Evaluation of a Home-Based Physical Activity Intervention for Adolescent Girls—The HERizon Project: A Randomised Controlled Trial. Children 2021;8(2):76 View
  14. Mehta K, Ward V, Darmstadt G. Best practices in global health evaluation: Reflections on learning from an independent program analysis in Bihar, India. Journal of Global Health 2020;10(2) View
  15. Hensen B, Mackworth-Young C, Simwinga M, Abdelmagid N, Banda J, Mavodza C, Doyle A, Bonell C, Weiss H. Remote data collection for public health research in a COVID-19 era: ethical implications, challenges and opportunities. Health Policy and Planning 2021;36(3):360 View
  16. 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
  17. Suich H, Yap M, Pham T. Coverage bias: the impact of eligibility constraints on mobile phone-based sampling and data collection. International Journal of Social Research Methodology 2021:1 View
  18. 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