Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38828, first published .
Barriers and Facilitators to Implementing a Digital Adherence Technology for Tuberculosis Treatment Supervision in Uganda: Qualitative Study

Barriers and Facilitators to Implementing a Digital Adherence Technology for Tuberculosis Treatment Supervision in Uganda: Qualitative Study

Barriers and Facilitators to Implementing a Digital Adherence Technology for Tuberculosis Treatment Supervision in Uganda: Qualitative Study

Journals

  1. Guo G, Zheng Y, Ma X, Sun L, Wushouer Q, Jia B, Yusufu M, Wen S, Abudureyimu T, Peng X, Liu Z, Mamut X, Chen Y, Zhang J, Yang Y, Huangfu L, Li J, Zhang W. eDOTS: Improving the Treatment of Pulmonary Tuberculosis in Xinjiang, China. Infection and Drug Resistance 2023;Volume 16:7497 View
  2. Leung C, Alacapa J, Tasca B, Villanueva A, Masulit S, Ignacio M, Uy K, Pell C, van Kalmthout K, Powers R, Fielding K, Jerene D. Digital Adherence Technologies and Differentiated Care for Tuberculosis Treatment and Their Acceptability Among Persons With Tuberculosis, Health Care Workers, and Key Informants in the Philippines: Qualitative Interview Study. JMIR Human Factors 2024;11:e54117 View
  3. Ayalew T, Gashu K, Jemere A, Baykemagn N. Intention to use mobile phone-based TB screening among HIV patients in Debre Tabor Town public health facilities, Northwest Ethiopia: a cross-sectional study. BMC Public Health 2025;25(1) View
  4. Chagas M, Aguilar G, Linhares T, Moreira T, Dode A, Fernandes G, Frohlich G, Fernandes D, Constant H, Cabral F. telemedicina está preparada para contornar as barreiras de implementação no Brasil?. Revista Brasileira de Medicina de Família e Comunidade 2025;19(46):4010 View
  5. Madden N, Tadesse A, Leung C, Gonçalves Tasca B, Alacapa J, Deyanova N, Ndlovu N, Mokone N, Onjare B, Mganga A, van Kalmthout K, Jerene D, Fielding K. Process Evaluation of Pragmatic Cluster-Randomized Trials of Digital Adherence Technologies for Tuberculosis Treatment Support: A Mixed-Method Study in Five Countries. Tropical Medicine and Infectious Disease 2025;10(3):68 View
  6. Sivashanmugam M, Mahendran R. A qualitative study on the barriers to tuberculosis treatment adherence using digital adherence technologies (DATs). The Indian Journal of Medical Research 2025;161:354 View
  7. F A K, R D D, Y A G, G T, HSC D, M M, M K, H D. Evaluation of the Involvement of Community Health Workers in Adherence to Anti-Tuberculosis Treatment in Bangui, Central Africa Republic in 2024. International Journal of Innovative Science and Research Technology 2025:4825 View
  8. Dube T, Mboniswa F, de Groot L, Khumalo S, Maraba N, Ndlovu N, Mokone N, Masia L, Fielding K, Jerene D, Shewamene Z, Tasca B, Leung A, Charalambous S, Nieuwoudt S. Acceptability of Digital Adherence Technologies to support people with drug-susceptible TB in South Africa. PLOS One 2025;20(9):e0332103 View
  9. Wambi P, West S, Nabugoomu J, Kityamuwesi A, Crowder R, Kunihira L, Wobudeya E, Cattamanchi A, Jaganath D, Katamba A. A mixed methods evaluation of 99DOTS digital adherence technology uptake among adolescents treated for pulmonary tuberculosis in Uganda. SSM - Health Systems 2025;5:100151 View