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

RCTs - Protocols/Proposals (funded, already peer-reviewed, eHealth) (392) Infectious Diseases (non-STD/STI) (1726) mHealth for Treatment Adherence (467) Usability of Apps and User Perceptions of mHealth (1188) Focus Groups and Qualitative Research for Human Factors Research (1220) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (717)

Published on in Vol 10, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28094, first published .
Mobile Tuberculosis Treatment Support Tools to Increase Treatment Success in Patients with Tuberculosis in Argentina: Protocol for a Randomized Controlled Trial

Mobile Tuberculosis Treatment Support Tools to Increase Treatment Success in Patients with Tuberculosis in Argentina: Protocol for a Randomized Controlled Trial

Mobile Tuberculosis Treatment Support Tools to Increase Treatment Success in Patients with Tuberculosis in Argentina: Protocol for a Randomized Controlled Trial

Authors of this article:

Sarah Iribarren1 Author Orcid Image ;   Hannah Milligan1 Author Orcid Image ;   Kyle Goodwin1 Author Orcid Image ;   Omar Alfonso Aguilar Vidrio1 Author Orcid Image ;   Cristina Chirico2 Author Orcid Image ;   Hugo Telles2 Author Orcid Image ;   Daniela Morelli3 Author Orcid Image ;   Barry Lutz4 Author Orcid Image ;   Jennifer Sprecher1 Author Orcid Image ;   Fernando Rubinstein3 Author Orcid Image
Article Authors Cited by (7) Tweetations (3) Metrics

Journals

  1. Jamwal A, Mohanty A, Swami A, Turbadkar D. Impact of COVID-19 on tuberculosis services: an experience from a tertiary care hospital. Journal of Medical Microbiology 2022;71(6) View
  2. Wu Z, Lu L, Li Y, Chen J, Zhang Z, Ning C, Yuan Z, Pan Q, Shen X, Zhang W. Effect of mobile health reminders on tuberculosis treatment outcomes in Shanghai, China: A prospective cohort study. Frontiers in Public Health 2023;11 View
  3. Olawade D, Eberhardt J, David-Olawade A, Balogun M, Bolarinwa O, Esan D. Transforming multidrug-resistant tuberculosis care: The potentials of telemedicine in resource-limited settings. Health Sciences Review 2024;12:100185 View
  4. Iribarren S, Aguilar Vidrio O, Roberti J, Goodwin K, Chirico C, Telles H, Lutz B, Bornengo F, Rubinstein F. User-Centered Refinement of a Digital Tool for Tuberculosis Treatment Support: Iterative Mixed Methods Study. Journal of Medical Internet Research 2025;27:e76742 View
  5. Yusransyah Y, Stiani S, Chairani F, Adini S, Subchan M, Ferdiyansyah F, Putri N, Pratiwi R, Udin B. Effectiveness of TB-Reminder Application in Improving Medication Adherence and Quality of Life of Lung Tuberculosis Patients in Indonesia. Sciences of Pharmacy 2025;4(3):117 View
  6. Roberti J, Carmiol-Rodríguez P, Chan-Liang E, Aguilar-Vidrio O, Suyanto A, Sprecher J, Rubinstein F, Iribarren S, Carandang R. Enhancing tuberculosis treatment support: A thematic analysis of interactive messages in a digital adherence technology trial to identify needs, challenges, and strategies for improvement. PLOS One 2025;20(7):e0326492 View
  7. Roberti J, Morelli D, Aguilar-Vidrio O, Suyanto A, Carmiol-Rodriguez P, Tolentino A, Chen-Liang E, Sprecher J, Rubinstein F, Iribarren S. Improving tuberculosis treatment adherence: a qualitative study of patients’ perspectives from a pragmatic trial of the tuberculosis treatment support tools intervention. BMJ Open 2025;15(9):e095878 View