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

Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (438) Mobile Health (mhealth) (3732) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2346) mHealth for Wellness, Behavior Change and Prevention (3476) Mobile Health in Psychiatry (563)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64622, first published .
Users’ Needs for Mental Health Apps: Quality Evaluation Using the User Version of the Mobile Application Rating Scale

Users’ Needs for Mental Health Apps: Quality Evaluation Using the User Version of the Mobile Application Rating Scale

Users’ Needs for Mental Health Apps: Quality Evaluation Using the User Version of the Mobile Application Rating Scale

Authors of this article:

Siyeon Ko1 Author Orcid Image ;   Hyekyung Woo1, 2 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Petersen F, Tom S. User dissatisfaction with a mental health application: Insights from Google Reviews. South African journal of information management 2025;27(1) View
  2. Meng F, Jia Y. Data-Driven Prioritization of User Requirements in Health E-Commerce: An Explainable Machine Learning Study. Journal of Theoretical and Applied Electronic Commerce Research 2026;21(4):104 View
  3. Laiti J, Javadpour S, Mullen J, Conway C, Byrne E, Dunne P. Evaluation of Wellby, a Cocreated Mobile App and Wearable to Support Stress Management and Overall Well-Being: Mixed Methods Acceptability and Usability Study. JMIR Human Factors 2026;13:e79381 View
  4. Reyes M, Teo S, Hartanto A. The Emerging Roles of AI in Self-Directed Stress-Management: A Systematic Review (Preprint). Journal of Medical Internet Research 2026 View