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

mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (565) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) mHealth for Data Collection and Research (955)

Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17891, first published .
Automated and Interviewer-Administered Mobile Phone Surveys in Burkina Faso: Sociodemographic Differences Among Female Mobile Phone Survey Respondents and Nonrespondents

Automated and Interviewer-Administered Mobile Phone Surveys in Burkina Faso: Sociodemographic Differences Among Female Mobile Phone Survey Respondents and Nonrespondents

Automated and Interviewer-Administered Mobile Phone Surveys in Burkina Faso: Sociodemographic Differences Among Female Mobile Phone Survey Respondents and Nonrespondents

Authors of this article:

Abigail R Greenleaf1 Author Orcid Image ;   Aliou Gadiaga2 Author Orcid Image ;   Yoonjoung Choi3 Author Orcid Image ;   Georges Guiella2 Author Orcid Image ;   Shani Turke4 Author Orcid Image ;   Noelle Battle4 Author Orcid Image ;   Saifuddin Ahmed4 Author Orcid Image ;   Caroline Moreau4, 5 Author Orcid Image
Article Authors Cited by (9) Tweetations (3) Metrics

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  2. Allen L, Mackinnon S, Gordon I, Blane D, Marques A, Gichuhi S, Mwangi A, Burton M, Bolster N, Macleod D, Kim M, Ramke J, Bastawrous A. Performance and Resource Requirements of In-Person, Voice Call, and Automated Telephone-Based Socioeconomic Data Collection Modalities for Community-Based Health Programs. JAMA Network Open 2022;5(11):e2243883 View
  3. Ndashimye F, Hebie O, Tjaden J. Effectiveness of WhatsApp for Measuring Migration in Follow-Up Phone Surveys. Lessons from a Mode Experiment in Two Low-Income Countries during COVID Contact Restrictions. Social Science Computer Review 2024;42(2):460 View
  4. Brubaker J, Kilic T, Wollburg P, Van Campenhout B. Representativeness of individual-level data in COVID-19 phone surveys: Findings from Sub-Saharan Africa. PLOS ONE 2021;16(11):e0258877 View
  5. Guzman-Tordecilla D, Vecino-Ortiz A, Torres-Quintero A, Solorzano-Barrera C, Ali J, Peñaloza-Quintero R, Ahmed S, Pariyo G, Maniar V, Gibson D. Examination of the demographic representativeness of a cross-sectional mobile phone survey in collecting health data in Colombia using random digit dialling. BMJ Open 2023;13(6):e073647 View
  6. Shea A, Thornburg J, Vitzthum V. Assessment of App-Based Versus Conventional Survey Modalities for Reproductive Health Research in India, South Africa, and the United States: Comparative Cross-Sectional Study. JMIR Formative Research 2023;7:e44705 View
  7. Moucheraud C, Ochieng E, Ogutu V, Chang L, Golub G, Crespi C, Szilagyi P. Intervention-amenable factors associated with lack of HPV vaccination in Kenya: Results from a large national phone survey. Vaccine 2024;42(26):126410 View
  8. Greenleaf A, Nhlabatsi B, Mahlalela K, Masangane Z, Ndlangamandla M, Philips N, Nuwagaba‑Biribonwoha H. DYnamics of Contraception in Eswatini (DYCE): protocol for a high-frequency, longitudinal cell phone survey. BMJ Open 2024;14(11):e090686 View