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

Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (374) Participatory Medicine & E-Patients (773) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) mHealth for Wellness, Behavior Change and Prevention (2871)

Published on in Vol 8, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13808, first published .
Limitations of Existing Dialysis Diet Apps in Promoting User Engagement and Patient Self-Management: Quantitative Content Analysis Study

Limitations of Existing Dialysis Diet Apps in Promoting User Engagement and Patient Self-Management: Quantitative Content Analysis Study

Limitations of Existing Dialysis Diet Apps in Promoting User Engagement and Patient Self-Management: Quantitative Content Analysis Study

Authors of this article:

Jun-Hao Lim1 Author Orcid Image ;   Cordelia-Kheng-May Lim1 Author Orcid Image ;   Imliya Ibrahim1 Author Orcid Image ;   Jazlina Syahrul1 Author Orcid Image ;   Mohd Hazli Mohamed Zabil2 Author Orcid Image ;   Nor Fadhlina Zakaria3 Author Orcid Image ;   Zulfitri Azuan Mat Daud1, 4 Author Orcid Image
Article Authors Cited by (9) Tweetations (2) Metrics

Journals

  1. Albertus R, Makoza F. An analysis of the COVID-19 contact tracing App in South Africa: Challenges experienced by users. African Journal of Science, Technology, Innovation and Development 2023;15(1):124 View
  2. Deinboll A, Moe C, Ludvigsen M. Interventions, Participative Role, Barriers, and Facilitators for Involvement in eHealth Communication for People Undergoing Hemodialysis: Protocol for a Scoping Review. JMIR Research Protocols 2022;11(7):e38615 View
  3. Widiasih E, Setyonugroho W, Ulfa M. Nutrition Telemonitoring for CKD-HD Patients: A Qualitative Study on Patients, Patients’ Families, Medical Teams, and Hospital Management. Open Access Macedonian Journal of Medical Sciences 2022;10(B):1950 View
  4. Kowal A, Wojczuk M, Grabowska M, Szaran J, Kowal M, Pawłowicz-Szlarska E, Pęczek-Bartyzel K, Nowicki M. Activity and Profile of the Users of a Novel Mobile Application Supporting Proper Diet Among Maintenance Hemodialysis Patients. Journal of Renal Nutrition 2023;33(4):592 View
  5. Chikwetu L, Daily S, Mortazavi B, Dunn J. Automated Diet Capture Using Voice Alerts and Speech Recognition on Smartphones: Pilot Usability and Acceptability Study. JMIR Formative Research 2023;7:e46659 View
  6. Lim J, Ali N, Rajikan R, Amit N, Hamid H, Leong H, Mohamad M, Koh B, Musa A. Need analysis of a dietary application among caregivers of patients with disorders of amino acid metabolism (AAMDs): A mixed-method approach. International Journal of Medical Informatics 2023;177:105120 View
  7. Paneerselvam G, Lin Lua P, Chooi W, Rehman I, Goh K, Chiau Ming L. Effectiveness of Mobile Applications in Improving Medication Adherence among Chronic Kidney Disease Patients: A Systematic Review (Preprint). Journal of Medical Internet Research 2023 View

Books/Policy Documents

  1. Nagarajan B, Khatun R, Bolaños M, Aguilar E, Angelini L, El Kamali M, Mugellini E, Khaled O, Boqué N, Tarro L, Radeva P. Digital Health Technology for Better Aging. View