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

mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (565) Mobile Health (mhealth) (2939) Formative Studies and eHealth/mHealth Development (524) Usability of Apps and User Perceptions of mHealth (974) Text-messaging (SMS, WeChat etc)-Based Interventions (650) mHealth for Treatment Adherence (397)

Published on in Vol 3, No 1 (2015): Jan-Mar

Qualitative Evaluation of a Text Messaging Intervention to Support Patients With Active Tuberculosis: Implementation Considerations

Qualitative Evaluation of a Text Messaging Intervention to Support Patients With Active Tuberculosis: Implementation Considerations

Qualitative Evaluation of a Text Messaging Intervention to Support Patients With Active Tuberculosis: Implementation Considerations

Authors of this article:

Sarah J Iribarren1 Author Orcid Image ;   Katherine A Sward2 Author Orcid Image ;   Susan L Beck2 Author Orcid Image ;   Patricia F Pearce3 Author Orcid Image ;   Diana Thurston4 Author Orcid Image ;   Cristina Chirico5 Author Orcid Image
Article Authors Cited by (12) Tweetations (2) Metrics

Journals

  1. Iribarren S, Brown W, Giguere R, Stone P, Schnall R, Staggers N, Carballo-Diéguez A. Scoping review and evaluation of SMS/text messaging platforms for mHealth projects or clinical interventions. International Journal of Medical Informatics 2017;101:28 View
  2. Iribarren S, Rodriguez Y, Lin L, Chirico C, Discacciati V, Schnall R, Demiris G. Converting and expanding a mobile support intervention: Focus group and field-testing findings from individuals in active tuberculosis treatment. International Journal of Medical Informatics 2020;136:104057 View
  3. LeBaron V, Iribarren S, Perri S, Beck S. A practical field guide to conducting nursing research in low- and middle-income countries. Nursing Outlook 2015;63(4):462 View
  4. Das Gupta D, Patel A, Saxena D, Koizumi N, Trivedi P, Patel K, Raval D, King A, Chandler K. Choice‐Based Reminder Cues: Findings From an mHealth Study to Improve Tuberculosis (TB) Treatment Adherence Among the Urban Poor in India. World Medical & Health Policy 2020;12(2):163 View
  5. Iribarren S, Wallingford J, Schnall R, Demiris G. Converting and expanding mobile support tools for tuberculosis treatment support: Design recommendations from domain and design experts. Journal of Biomedical Informatics 2020;112:100066 View
  6. Rogers L, De Brún A, McAuliffe E. Defining and assessing context in healthcare implementation studies: a systematic review. BMC Health Services Research 2020;20(1) View
  7. Iribarren S, Milligan H, Goodwin K, Aguilar Vidrio O, Chirico C, Telles H, Morelli D, Lutz B, Sprecher J, Rubinstein F. Mobile Tuberculosis Treatment Support Tools to Increase Treatment Success in Patients with Tuberculosis in Argentina: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2021;10(6):e28094 View
  8. O’Grady M, Kapoor S, Harrison L, Kwon N, Suleiman A, Muench F. Implementing a text-messaging intervention for unhealthy alcohol use in emergency departments: protocol for implementation strategy development and a pilot cluster randomized implementation trial. Implementation Science Communications 2022;3(1) View
  9. Iribarren S, Milligan H, Chirico C, Goodwin K, Schnall R, Telles H, Iannizzotto A, Sanjurjo M, Lutz B, Pike K, Rubinstein F, Rhodehamel M, Leon D, Keyes J, Demiris G. Patient-centered mobile tuberculosis treatment support tools (TB-TSTs) to improve treatment adherence: A pilot randomized controlled trial exploring feasibility, acceptability and refinement needs. The Lancet Regional Health - Americas 2022;13:100291 View
  10. Daniels S, Cheng H, Gray C, Kim B, Stave C, Midboe A. A scoping review of implementation of health-focused interventions in vulnerable populations. Translational Behavioral Medicine 2022;12(9):935 View

Books/Policy Documents

  1. Nathavitharana R, Nardell E. Drug Delivery Systems for Tuberculosis Prevention and Treatment. View
  2. Alverson D. Telemedicine, Telehealth and Telepresence. View