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

Design and Formative Evaluation of Mobile Apps (694)

Published on in Vol 4, No 3 (2016): Jul-Sept

“Please Don’t Send Us Spam!” A Participative, Theory-Based Methodology for Developing an mHealth Intervention

“Please Don’t Send Us Spam!” A Participative, Theory-Based Methodology for Developing an mHealth Intervention

“Please Don’t Send Us Spam!” A Participative, Theory-Based Methodology for Developing an mHealth Intervention

Authors of this article:

Yoesrie Toefy1, 2 Author Orcid Image ;   Donald Skinner1 Author Orcid Image ;   Sarah Thomsen2 Author Orcid Image
Article Authors Cited by (10) Tweetations (26) Metrics

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  1. Gong E, Gu W, Luo E, Tan L, Donovan J, Sun C, Yang Y, Zang L, Bao P, Yan L. Development and Local Contextualization of Mobile Health Messages for Enhancing Disease Management Among Community-Dwelling Stroke Patients in Rural China: Multimethod Study. JMIR mHealth and uHealth 2019;7(12):e15758 View
  2. Fischer A, Chadyiwa M, Tshuma N, Nkosi V. Acceptability of Mobile Health Interventions to Increase Diabetic Risk Factor Awareness Among the Commuter Population in Johannesburg: Descriptive Cross-Sectional Study. JMIR Diabetes 2019;4(3):e12600 View
  3. Ames H, Glenton C, Lewin S, Tamrat T, Akama E, Leon N. Clients’ perceptions and experiences of targeted digital communication accessible via mobile devices for reproductive, maternal, newborn, child, and adolescent health: a qualitative evidence synthesis. Cochrane Database of Systematic Reviews 2019;2019(10) View
  4. Skinner D, Delobelle P, Pappin M, Pieterse D, Esterhuizen T, Barron P, Dudley L. User assessments and the use of information from MomConnect, a mobile phone text-based information service, by pregnant women and new mothers in South Africa. BMJ Global Health 2018;3(Suppl 2):e000561 View
  5. Sinha Deb K, Tuli A, Sood M, Chadda R, Verma R, Kumar S, Ganesh R, Singh P, Soundy A. Is India ready for mental health apps (MHApps)? A quantitative-qualitative exploration of caregivers’ perspective on smartphone-based solutions for managing severe mental illnesses in low resource settings. PLOS ONE 2018;13(9):e0203353 View
  6. Morrison J, Akter K, Jennings H, Ahmed N, Kumer Shaha S, Kuddus A, Nahar T, King C, Haghparast-Bidgoli H, Khan A, Costello A, Azad K, Fottrell E. Learning from a diabetes mHealth intervention in rural Bangladesh: what worked, what did not and what next?. Global Public Health 2022;17(7):1299 View
  7. Owolabi E, Mac Quene T, Louw J, Davies J, Chu K. Telemedicine in Surgical Care in Low‐ and Middle‐Income Countries: A Scoping Review. World Journal of Surgery 2022;46(8):1855 View
  8. Ouedraogo W, Biau S, Bonnet E, Ridde V. Telephones in public health policy processes in sub-Saharan Africa: a scoping review. Journal of Global Health Reports 2021;5 View
  9. Bondre A, Shrivastava R, Raghuram H, Tugnawat D, Khan A, Gupta S, Kumar M, Mehta U, Keshavan M, Lakhtakia T, Chand P, Thirthalli J, Patel V, Torous J, Rozatkar A, Naslund J, Bhan A. A qualitative exploration of perceived needs and barriers of individuals with schizophrenia, caregivers and clinicians in using mental health applications in Madhya Pradesh, India. SSM - Mental Health 2022;2:100063 View
  10. Kokila , Jain R, Munde A, Ansari Z. Determinants of Adoption of Mobile Health Applications: A Machine Learning Approach. Procedia Computer Science 2024;235:1568 View