Published on in Vol 8 (2024)

This is a member publication of University of Cambridge (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48881, first published .
Perception of Apps for Mental Health Assessment With Recommendations for Future Design: United Kingdom Semistructured Interview Study

Perception of Apps for Mental Health Assessment With Recommendations for Future Design: United Kingdom Semistructured Interview Study

Perception of Apps for Mental Health Assessment With Recommendations for Future Design: United Kingdom Semistructured Interview Study

Journals

  1. Funnell E, Martin-Key N, Benacek J, Spadaro B, Bahn S. Preferences for and intention to use an app for premenstrual mental health symptoms using the Health Behaviour Model (HBM). npj Women's Health 2024;2(1) View
  2. Martin-Key N, Funnell E, Benacek J, Spadaro B, Bahn S. Intention to Use a Mental Health App for Menopause: Health Belief Model Approach. JMIR Formative Research 2024;8:e60434 View
  3. Salcedo-Callado T, Hernández-Llanes N, Sánchez-Domínguez R, Saracco-Alvarez R, Marín-Navarrete R. IRT analysis of the BDI-II for early online depression detection: validation in a Mexican population. Frontiers in Psychology 2025;16 View
  4. Bapat C, Jog S. Data-driven ethical guidelines for digitized mental health services: principal components analysis. Frontiers in Human Dynamics 2025;7 View
  5. Quiram N, Salam T, Sadjadpour F, Hosseinichimeh N, Jarvis L, Soghier L. A literature review of remote mental health screening: barriers, potential solutions, and tools. Frontiers in Digital Health 2025;7 View

Conference Proceedings

  1. Zuo L, Che M, Chen J. 2025 3rd International Conference on Data Science and Information System (ICDSIS). Intelligent Assessment Algorithm of Mental Health Status based on Multimodal Data Fusion View