User Perceptions of an mHealth Medicine Dosing Tool for Community Health Workers

User Perceptions of an mHealth Medicine Dosing Tool for Community Health Workers

User Perceptions of an mHealth Medicine Dosing Tool for Community Health Workers

Journals

  1. Rajan J, Moura J, Gourley G, Kiso K, Sizilio A, Cortez A, Riley L, Veras M, Sarkar U. Understanding the barriers to successful adoption and use of a mobile health information system in a community health center in São Paulo, Brazil: a cohort study. BMC Medical Informatics and Decision Making 2016;16(1) View
  2. Duclos V, Yé M, Moubassira K, Sanou H, Sawadogo N, Bibeau G, Sié A. Situating mobile health: a qualitative study of mHealth expectations in the rural health district of Nouna, Burkina Faso. Health Research Policy and Systems 2017;15(S1) View
  3. Thomas D, Daly K, Nyanza E, Ngallaba S, Bull S. Health worker acceptability of an mHealth platform to facilitate the prevention of mother-to-child transmission of HIV in Tanzania. DIGITAL HEALTH 2020;6 View
  4. Gagnon M, Ngangue P, Payne-Gagnon J, Desmartis M. m-Health adoption by healthcare professionals: a systematic review. Journal of the American Medical Informatics Association 2016;23(1):212 View
  5. Patterson V, Samant S, Jain Y, Singh M. Computer-naïve health workers can use a tablet-based epilepsy diagnosis app. Epilepsy & Behavior 2017;70:274 View
  6. Smith C, van Velthoven M, Truong N, Nam N, Anh V, AL-Ahdal T, Hassan O, Kouz B, Huy N, Brewster M, Pakenham-Walsh N. How primary healthcare workers obtain information during consultations to aid safe prescribing in low-income and lower middle-income countries: a systematic review. BMJ Global Health 2020;5(4):e002094 View
  7. Rahman A, Akhtar P, Hamdani S, Atif N, Nazir H, Uddin I, Nisar A, Huma Z, Maselko J, Sikander S, Zafar S. Using technology to scale-up training and supervision of community health workers in the psychosocial management of perinatal depression: a non-inferiority, randomized controlled trial. Global Mental Health 2019;6 View
  8. Segal J, Arevalo J, Franke M, Palazuelos D. Reducing dosing errors and increasing clinical efficiency in Guatemala: first report of a novel mHealth medication dosing app in a developing country. BMJ Innovations 2015;1(3):111 View
  9. Abreu F, Bissaco M, Silva A, Boschi S, Scardovelli T, Santos M, Rodrigues C, Martini S. The use and impact of mHealth by community health workers in developing and least developed countries: a systematic review. Research on Biomedical Engineering 2021;37(3):563 View
  10. Shukla R, Kapur A. Methods and Lessons From Costing a Large mHealth Intervention at Scale in India. Frontiers in Public Health 2022;10 View
  11. Zhang L, Li P. Problem-Based mHealth Literacy Scale (PB-mHLS): Development and Validation. JMIR mHealth and uHealth 2022;10(4):e31459 View
  12. Eze E, Gleasure R, Heavin C. Worlds apart: a socio-material exploration of mHealth in rural areas of developing countries. Information Technology & People 2022;35(8):99 View
  13. Omorou A, Ndishimye P, Hoen B, Mutesa L, Karame P, Nshimiyimana L, Galmiche S, Mugabo H, Murayire J, Mugisha M, Umulisa M, Uwera Y, Musanagabanwa C, Bigirimana N, Nsanzimana S, Guillemin F, Rwabihama J. Feasibility, acceptability, satisfaction and challenges of mHealth for community-based COVID-19 screening by community health workers in Rwanda: Insight from the e-ASCov project (Preprint). JMIR mHealth and uHealth 2023 View
  14. O'Donovan J, Bersin A, O'Donovan C. The effectiveness of mobile health (mHealth) technologies to train healthcare professionals in developing countries: a review of the literature. BMJ Innovations 2015;1(1):33 View