Change in Patient Comfort Using Mobile Phones Following the Use of an App to Monitor Tuberculosis Treatment Adherence: Longitudinal Study

Journals

1. Koepp J, Baron M, Hernandes Martins P, Brandenburg C, Kira A, Trindade V, Ley Dominguez L, Carneiro M, Frozza R, Possuelo L, De Mello Pinto M, Mahlmann Kipper L, Pinheiro da Costa B. The Quality of Mobile Apps Used for the Identification of Pressure Ulcers in Adults: Systematic Survey and Review of Apps in App Stores. JMIR mHealth and uHealth 2020;8(6):e14266 View
2. Guo X, Yang Y, Takiff H, Zhu M, Ma J, Zhong T, Fan Y, Wang J, Liu S. A Comprehensive App That Improves Tuberculosis Treatment Management Through Video-Observed Therapy: Usability Study. JMIR mHealth and uHealth 2020;8(7):e17658 View
3. Lee Y, Raviglione M, Flahault A. Use of Digital Technology to Enhance Tuberculosis Control: Scoping Review. Journal of Medical Internet Research 2020;22(2):e15727 View
4. Liu Z, Ng M, Gunasekeran D, Li H, Ponampalam K, Ponampalam R. Mobile technology: Usage and perspective of patients and caregivers presenting to a tertiary care emergency department. World Journal of Emergency Medicine 2020;11(1):5 View
5. 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
6. Xing W, Zhang R, Jiang W, Zhang T, Pender M, Zhou J, Pu J, Liu S, Wang G, Chen Y, Li J, Hu D, Tang S, Li Y. Adherence to Multidrug Resistant Tuberculosis Treatment and Case Management in Chongqing, China – A Mixed Method Research Study. Infection and Drug Resistance 2021;Volume 14:999 View
7. Fuad A, Herwanto G, Pertiwi A, Wahyuningtias S, Harsini H, Maula A, Putri D, Probandari A, Ahmad R. Design and prototype of TOMO: an app for improving drug resistant TB treatment adherence. F1000Research 2021;10:983 View
8. Lu Y, Zhang Y, Tian Y. Research progress of intelligent management model application in hospital-at-home care. Journal of Physics: Conference Series 2023;2425(1):012041 View
9. Sekandi J, Kasiita V, Onuoha N, Zalwango S, Nakkonde D, Kaawa-Mafigiri D, Turinawe J, Kakaire R, Davis-Olwell P, Atuyambe L, Buregyeya E. Stakeholders’ Perceptions of Benefits of and Barriers to Using Video-Observed Treatment for Monitoring Patients With Tuberculosis in Uganda: Exploratory Qualitative Study. JMIR mHealth and uHealth 2021;9(10):e27131 View
10. de Groot L, Straetemans M, Maraba N, Jennings L, Gler M, Marcelo D, Mekoro M, Steenkamp P, Gavioli R, Spaulding A, Prophete E, Bury M, Banu S, Sultana S, Onjare B, Efo E, Alacapa J, Levy J, Morales M, Katamba A, Bogdanov A, Gamazina K, Kumarkul D, Ekaterina O, Cattamanchi A, Khan A, Bakker M. Time Trend Analysis of Tuberculosis Treatment While Using Digital Adherence Technologies—An Individual Patient Data Meta-Analysis of Eleven Projects across Ten High Tuberculosis-Burden Countries. Tropical Medicine and Infectious Disease 2022;7(5):65 View
11. Campbell J, Aturinda I, Mwesigwa E, Habinka A, Kanyesigye M, Holden R, Siedner M, Kraemer J. Behavioral Predictors of Intention to Use a Text Messaging Reminder System Among People Living With HIV in Rural Uganda: Survey Study. JMIR Human Factors 2023;10:e42952 View
12. Warsito I, Komosar M, Bernhard M, Fiedler P, Haueisen J. Flower electrodes for comfortable dry electroencephalography. Scientific Reports 2023;13(1) View
13. Wang X, Fu Q, Zhou M, Li Y. How Integrated Digital Tools Can Improve Tuberculosis Medication Adherence: A Longitudinal Study in China. Telemedicine and e-Health 2024;30(2):490 View