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Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47321, first published .
Close-up of a hand holding a smartphone displaying a "Good Morning Holly" mental wellness app with worry diary and reflection features.

Use and Engagement With Low-Intensity Cognitive Behavioral Therapy Techniques Used Within an App to Support Worry Management: Content Analysis of Log Data

Use and Engagement With Low-Intensity Cognitive Behavioral Therapy Techniques Used Within an App to Support Worry Management: Content Analysis of Log Data

Journals

  1. Reuther C, von Essen L, Mustafa M, Saarijärvi M, Woodford J. Engagement With an Internet-Administered, Guided, Low-Intensity Cognitive Behavioral Therapy Intervention for Parents of Children Treated for Cancer: Analysis of Log-Data From the ENGAGE Feasibility Trial. JMIR Formative Research 2025;9:e67171 View
  2. Hua Y, Siddals S, Ma Z, Galatzer‐Levy I, Xia W, Hau C, Na H, Flathers M, Linardon J, Ayubcha C, Torous J. Charting the evolution of artificial intelligence mental health chatbots from rule‐based systems to large language models: a systematic review. World Psychiatry 2025;24(3):383 View
  3. Qian Y, Tang W, Xu T, Zhu D, Hua W. Emotional support powered by artificial intelligence in healthcare settings: A scoping review of technologies, contents, and outcomes. International Journal of Nursing Studies 2025;172:105243 View
  4. Farrand P, Bacon A, Janbakhsh M, Flay N, Turnbull E, Baker J. Adaptation and Acceptability of a Low-Intensity Cognitive Behavioral Therapy App to Support Low Mood and Worry Management in Female Forces Veterans: Mixed Methods Study. JMIR Human Factors 2026;13:e84365 View

Conference Proceedings

  1. Gong J, Wen X, Tao F, Wang X, Yang X, Tang Y. Proceedings of the 2025 International Conference on Human-Engaged Computing. Evaluating Text-based Conversational Agents for Mental Health: A Systematic Review of Metrics, Methods and Usage Contexts View