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

Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (377)

Published on in Vol 8, No 4 (2020): April

Mobile Health Apps for Improvement of Tuberculosis Treatment: Descriptive Review

Mobile Health Apps for Improvement of Tuberculosis Treatment: Descriptive Review

Mobile Health Apps for Improvement of Tuberculosis Treatment: Descriptive Review

Authors of this article:

Lina Keutzer1 Author Orcid Image ;   Sebastian G Wicha2 Author Orcid Image ;   Ulrika SH Simonsson1 Author Orcid Image
Article Authors Cited by (28) Tweetations (8) Metrics

Journals

  1. Du L, Wu R, Chen X, Xu J, Ji H, Zhou L. <p>Role of Treatment Adherence, Doctor–Patient Trust, and Communication in Predicting Treatment Effects Among Tuberculosis Patients: Difference Between Urban and Rural Areas</p>. Patient Preference and Adherence 2020;Volume 14:2327 View
  2. Margineanu I, Louka C, Vincenti-Gonzalez M, Saktiawati A, Schierle J, Abass K, Akkerman O, Alffenaar J, Ranchor A, Stienstra Y. Patients and Medical Staff Attitudes Toward the Future Inclusion of eHealth in Tuberculosis Management: Perspectives From Six Countries Evaluated using a Qualitative Framework. JMIR mHealth and uHealth 2020;8(11):e18156 View
  3. Almalki M, Giannicchi A. Health Apps for Combating COVID-19: Descriptive Review and Taxonomy. JMIR mHealth and uHealth 2021;9(3):e24322 View
  4. Milligan H, Iribarren S, Chirico C, Telles H, Schnall R. Insights from participant engagement with the tuberculosis treatment support tools intervention: Thematic analysis of interactive messages to guide refinement to better meet end user needs. International Journal of Medical Informatics 2021;149:104421 View
  5. 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
  6. Majam M, Msolomba V, Venter F, Scott L, Kahamba T, Stevens W, Rademeyer M, van Tonder T, Karim S, Kadam R, Akugizibwe P. Monitored Implementation of COVID-19 Rapid Antigen Screening at Taxi Ranks in Johannesburg, South Africa. Diagnostics 2022;12(2):402 View
  7. Needamangalam Balaji J, Prakash S, Park Y, Baek J, Shin J, Rajaguru V, Surapaneni K. A Scoping Review on Accentuating the Pragmatism in the Implication of Mobile Health (mHealth) Technology for Tuberculosis Management in India. Journal of Personalized Medicine 2022;12(10):1599 View
  8. Bao Y, Wang C, Xu H, Lai Y, Yan Y, Ma Y, Yu T, Wu Y. Effects of an mHealth Intervention for Pulmonary Tuberculosis Self-management Based on the Integrated Theory of Health Behavior Change: Randomized Controlled Trial. JMIR Public Health and Surveillance 2022;8(7):e34277 View
  9. Rahayu S, Zainafree I, Merzistya A, Cahyati W, Farida E, Wandastuti A, Isbandi , Wahidah N, Saefurrohim M, Islam M, Fajri A, Subagja M. Development of the SIKRIBO Mobile Health Application for Active Tuberculosis Case Detection in Semarang, Indonesia. Healthcare Informatics Research 2022;28(4):297 View
  10. Alffenaar J, de Steenwinkel J, Diacon A, Simonsson U, Srivastava S, Wicha S. Pharmacokinetics and pharmacodynamics of anti-tuberculosis drugs: An evaluation of in vitro, in vivo methodologies and human studies. Frontiers in Pharmacology 2022;13 View
  11. Hedrich N, Lovey T, Kuenzli E, Epéron G, Blanke U, Schlagenhauf P. Infection tracking in travellers using a mobile app (ITIT): The pilot study. Travel Medicine and Infectious Disease 2023;52:102526 View
  12. Adje Y, Brooks K, Castillo-Mancilla J, Wyles D, Anderson P, Kiser J. The use of technology-based adherence monitoring in the treatment of hepatitis C virus. Therapeutic Advances in Infectious Disease 2022;9 View
  13. Kim A, Yang J, Jang Y, Baek J. Acceptance of an Informational Antituberculosis Chatbot Among Korean Adults: Mixed Methods Research. JMIR mHealth and uHealth 2021;9(11):e26424 View
  14. Jang Y, Im S, Kang Y, Baek J. Relational Agents for the Homeless with Tuberculosis Experience: Providing Social Support Through Human–agent Relationships. ACM Transactions on Interactive Intelligent Systems 2022;12(2):1 View
  15. 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
  16. Karanja S, Aduda J, Thuo R, Wamunyokoli F, Oyier P, Kikuvi G, Kissinger H, Gachohi J, Mburugu P, Kamau D, Matheri J, Mwelu S, Machua J, Amoth P, Mariga D, Were I, Mohamed M, Kimuyu J, Saigilu S, Wangeci R, Mubadi K, Ndung’u J, Suleiman K, Kadam R, Akugizibwe P, Olu O. Utilization of digital tools to enhance COVID-19 and tuberculosis testing and linkage to care: A cross-sectional evaluation study among Bodaboda motorbike riders in the Nairobi Metropolis, Kenya. PLOS ONE 2023;18(9):e0290575 View
  17. Anenmose Maro R, Mtenga A, Mtesha B, Wilhelm K, Lekashingo N, Sumari-de Boer M, Ngowi K. Implementation bottlenecks of real time medication monitoring (evriMED) for improving adherence to anti-TB drugs among people with tuberculosis in Kilimanjaro, Tanzania. Journal of Clinical Tuberculosis and Other Mycobacterial Diseases 2024;34:100409 View
  18. Stabile A, Iribarren S, Sonney J, Demiris G, Schnall R. Usability testing of a mobile health application to support individuals with active tuberculosis: a mixed methods study. Informatics for Health and Social Care 2024;49(2):136 View
  19. Zou X, Sun P, Chen M, Nan J, Gao J, Huang X, Hou Y, Jiang Y. Experience of Older Patients with COPD Using Disease Management Apps: A Qualitative Study. Healthcare 2024;12(7):802 View
  20. Figueiredo Pequeno R, Dos Santos Coura R, Couto Sant'Anna C, Pombo Sant’Anna M. LACUNAS DE CONHECIMENTO DA TUBERCULOSE LATENTE E DESENVOLVIMENTO DE APLICATIVO PARA DIAGNOSTICAR E TRATAR TUBERCULOSE E TUBERCULOSE LATENTE NA INFÂNCIA. RECISATEC - REVISTA CIENTÍFICA SAÚDE E TECNOLOGIA - ISSN 2763-8405 2024;4(2):e42348 View
  21. Arconada Alvarez S, Hoover A, Greenleaf M, Ray S, Schechter M, Blumberg H, Lam W, Bernasconi A. “An app is just available at all times”—the process and outcomes of converting the Georgia Tuberculosis Reference Guide into a mobile application. PLOS ONE 2024;19(5):e0298758 View
  22. Liao H, Lyon C, Ying B, Hu T. Climate change, its impact on emerging infectious diseases and new technologies to combat the challenge. Emerging Microbes & Infections 2024;13(1) View
  23. Zhou P, Li H, Pang X, Wang T, Wang Y, He H, Zhuang D, Zhu F, Zhu R, Hu S. Effect of a Mobile Health–Based Remote Interaction Management Intervention on the Quality of Life and Self-Management Behavior of Patients With Low Anterior Resection Syndrome: Randomized Controlled Trial. Journal of Medical Internet Research 2024;26:e53909 View
  24. Shrivastava S, Bobhate P, Petkar P, Mendhe H, Bandre G. Strengthening Tuberculosis Control Among Migrant Workers. Tropical Medicine and Infectious Disease 2024;9(11):274 View
  25. Diallo N, Bobo M, Diallo A, Baldé A, Bah A, Kourouma M, Cisse M, Banks N, Kadam R, Suleiman K, Akugizibwe P. Feasibility and acceptability of a digital tool to support community-based screening for COVID-19 and other priority medical conditions across rural and peri-urban communities in Guinea. Oxford Open Digital Health 2024;2 View
  26. Husna A, Nursalam N, Hidayat A, Makhfudli M. Patient-Centered Digital Interventions for Self-Care Ability Among People with Pulmonary Tuberculosis: A Systematic Review. Pacific Rim International Journal of Nursing Research 2024;29(1):24 View

Books/Policy Documents

  1. Palanivel J, Manikkam R, Sounderrajan V, Jayaraj S, Rao S, Thangam T, Parthasarathy K. Translational Research in Biomedical Sciences: Recent Progress and Future Prospects. View