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

Wearables and MHealth Reviews (273) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (565) mHealth in a Clinical Setting (615) Clinical Informatics in Low-Resource Settings and the Developing World (101)

Published on in Vol 7, No 2 (2019): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12385, first published .
Toward Developing a Standardized Core Set of Outcome Measures in Mobile Health Interventions for Tuberculosis Management: Systematic Review

Toward Developing a Standardized Core Set of Outcome Measures in Mobile Health Interventions for Tuberculosis Management: Systematic Review

Toward Developing a Standardized Core Set of Outcome Measures in Mobile Health Interventions for Tuberculosis Management: Systematic Review

Authors of this article:

Seohyun Lee1 Author Orcid Image ;   Youngji Lee2 Author Orcid Image ;   Sangmi Lee2 Author Orcid Image ;   Sheikh Mohammed Shariful Islam3 Author Orcid Image ;   Sun-Young Kim2 Author Orcid Image
Article Authors Cited by (11) Tweetations Metrics

Journals

  1. Stagg H, Lewis J, Liu X, Huan S, Jiang S, Chin D, Fielding K. Temporal Factors and Missed Doses of Tuberculosis Treatment. A Causal Associations Approach to Analyses of Digital Adherence Data. Annals of the American Thoracic Society 2020;17(4):438 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. 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
  4. 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
  5. Ming L, Untong N, Aliudin N, Osili N, Kifli N, Tan C, Goh K, Ng P, Al-Worafi Y, Lee K, Goh H. Mobile Health Apps on COVID-19 Launched in the Early Days of the Pandemic: Content Analysis and Review. JMIR mHealth and uHealth 2020;8(9):e19796 View
  6. Alam M, Khanam L. Comparison of the young aged and elderly female users’ adoption of mHealth services. Health Care for Women International 2022;43(10-11):1259 View
  7. Rashid T, Haque M. Combatting Drug-Resistant Tuberculosis in the Midst of the Ongoing COVID-19 Pandemic. Advances in Human Biology 2022;12(3):215 View
  8. Sadeghi M, Kahouei M, Pahlevanynejad S, Valinejadi A, Momeni M, Kermani F, Seddighi H. Mobile applications for prematurity: a systematic review protocol. BMJ Paediatrics Open 2021;5(1):e001183 View
  9. de Souza Ferreira E, de Aguiar Franco F, dos Santos Lara M, Levcovitz A, Dias M, Moreira T, de Oliveira A, Cotta R. The effectiveness of mobile application for monitoring diabetes mellitus and hypertension in the adult and elderly population: systematic review and meta-analysis. BMC Health Services Research 2023;23(1) View
  10. Heydari M, Mehraeen E, Javaherikiyan E, Mehrabi N, Langarizadeh M, Aghamohammadi V, Moghaddam H, Nasiri K. Design, development and evaluation of a mobile-based self-care application for patients with COVID-19 not requiring hospitalization; a study of Northwest of Iran. BMC Medical Informatics and Decision Making 2023;23(1) View
  11. Syahrul S, Irwan A, Saleh A, Syam Y, Fiqri A, Jannah S. Effectiveness of Mobile Application–Based Intervention on Medication Adherence Among Pulmonary Tuberculosis Patients. CIN: Computers, Informatics, Nursing 2024 View