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

Formative Studies and eHealth/mHealth Development (525) Mobile Health (mhealth) (2972) Text-messaging (SMS, WeChat etc)-Based Interventions (655)

Published on in Vol 1, No 2 (2012): Jul-Dec

Technical Implementation of a Multi-Component, Text Message–Based Intervention for Persons Living with HIV

Technical Implementation of a Multi-Component, Text Message–Based Intervention for Persons Living with HIV

Technical Implementation of a Multi-Component, Text Message–Based Intervention for Persons Living with HIV

Authors of this article:

Robert D Furberg1 Author Orcid Image ;   Jennifer D Uhrig1 ;   Carla M Bann1 ;   Megan A Lewis1 Author Orcid Image ;   Jennie L Harris1 ;   Peyton Williams1 ;   Curtis Coomes1 ;   Nicole Martin2 ;   Lisa Kuhns2
Article Authors Cited by (18) Tweetations (1) Metrics

Journals

  1. Kerrigan A, Kaonga N, Tang A, Jordan M, Hong S. Content guidance for mobile phones short message service (SMS)-based antiretroviral therapy adherence and appointment reminders: a review of the literature. AIDS Care 2019;31(5):636 View
  2. Devi B, Syed-Abdul S, Kumar A, Iqbal U, Nguyen P, Li Y, Jian W. mHealth: An updated systematic review with a focus on HIV/AIDS and tuberculosis long term management using mobile phones. Computer Methods and Programs in Biomedicine 2015;122(2):257 View
  3. Pérez-Sánchez I, Candela Iglesias M, Rodriguez-Estrada E, Reyes-Terán G, Caballero-Suárez N. Design, validation and testing of short text messages for an HIV mobile-health intervention to improve antiretroviral treatment adherence in Mexico. AIDS Care 2018;30(sup1):37 View
  4. Finitsis D, Pellowski J, Huedo-Medina T, Fox M, Kalichman S. Visual analogue scale (VAS) measurement of antiretroviral adherence in people living with HIV (PLWH): a meta-analysis. Journal of Behavioral Medicine 2016;39(6):1043 View
  5. Rawat S, Wilkerson J, Lawler S, Patankar P, Rosser B, Shukla K, Butame S, Ekstrand M. Recommendations for the Development of a Mobile HIV Prevention Intervention for Men Who Have Sex With Men and Hijras in Mumbai: Qualitative Study. JMIR Public Health and Surveillance 2018;4(2):e46 View
  6. Anglada-Martinez H, Riu-Viladoms G, Martin-Conde M, Rovira-Illamola M, Sotoca-Momblona J, Codina-Jane C. Does mHealth increase adherence to medication? Results of a systematic review. International Journal of Clinical Practice 2015;69(1):9 View
  7. Jimenez G, Lum E, Huang Z, Theng Y, Boehm B, Car J. Reminders for medication adherence in Type 2 diabetes management apps. Journal of Pharmacy Practice and Research 2020;50(1):78 View
  8. Kannisto K, Koivunen M, Välimäki M. Use of Mobile Phone Text Message Reminders in Health Care Services: A Narrative Literature Review. Journal of Medical Internet Research 2014;16(10):e222 View
  9. Nhavoto J, Grönlund Å, Chaquilla W. SMSaúde: Design, Development, and Implementation of a Remote/Mobile Patient Management System to Improve Retention in Care for HIV/AIDS and Tuberculosis Patients. JMIR mHealth and uHealth 2015;3(1):e26 View
  10. Githinji S, Jones C, Malinga J, Snow R, Talisuna A, Zurovac D. Development of a text-messaging intervention to improve treatment adherence and post-treatment review of children with uncomplicated malaria in western Kenya. Malaria Journal 2015;14(1) View
  11. Brown W, Giguere R, Sheinfil A, Ibitoye M, Balan I, Ho T, Brown B, Quispe L, Sukwicha W, Lama J, Carballo-Diéguez A, Cranston R. Challenges and solutions implementing an SMS text message-based survey CASI and adherence reminders in an international biomedical HIV PrEP study (MTN 017). Journal of Biomedical Informatics 2018;80:78 View
  12. Cooper V, Clatworthy J, Whetham J, Consortium E. mHealth Interventions To Support Self-Management In HIV: A Systematic Review. The Open AIDS Journal 2017;11(1):119 View
  13. Dworkin M, Panchal P, Wiebel W, Garofalo R, Jimenez A, Haberer J. Experience with antiretroviral electronic adherence monitoring among young African American men who have sex with men living with HIV: findings to inform a triaged real-time alert intervention. AIDS Care 2020;32(9):1092 View
  14. Brown III W, Ibitoye M, Bakken S, Schnall R, Balán I, Frasca T, Carballo-Diéguez A. Cartographic Analysis of Antennas and Towers: A Novel Approach to Improving the Implementation and Data Transmission of mHealth Tools on Mobile Networks. JMIR mHealth and uHealth 2015;3(2):e63 View
  15. Ossemane E, Moon T, Were M, Heitman E. Ethical issues in the use of SMS messaging in HIV care and treatment in low- and middle-income countries: case examples from Mozambique. Journal of the American Medical Informatics Association 2018;25(4):423 View
  16. Fuentes L, Johnson M, Holtgrave D. An exploration of weekly patterns in HIV-related behaviors: implications for successful interventions and future research. AIDS Care 2015;27(9):1118 View
  17. Xu X, Fairley C, Chow E, Lee D, Aung E, Zhang L, Ong J. Using machine learning approaches to predict timely clinic attendance and the uptake of HIV/STI testing post clinic reminder messages. Scientific Reports 2022;12(1) View
  18. Wang B, Janamnuaysook R, MacDonell K, Rongkavilit C, Schieber E, Naar S, Phanuphak N. Adapting Effective mHealth Interventions to Improve Uptake and Adherence to HIV Pre-Exposure Prophylaxis Among Thai Young Men Who Have Sex With Men: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2023;12:e46435 View