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

Formative Evaluation of Digital Health Interventions (3272) Research Instruments, Questionnaires, and Tools (742) Web-based and Mobile Health Interventions (4050) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2145) Anxiety and Stress Disorders (1336) Diagnostic Tools in Mental Health (328) Depression and Mood Disorders; Suicide Prevention (1703) Artificial Intelligence (2162)

Published on in Vol 5, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30313, first published .
Development of a Severity Score and Comparison With Validated Measures for Depression and Anxiety: Validation Study

Development of a Severity Score and Comparison With Validated Measures for Depression and Anxiety: Validation Study

Development of a Severity Score and Comparison With Validated Measures for Depression and Anxiety: Validation Study

Authors of this article:

William Lynch1 Author Orcid Image ;   Michael L Platt2, 3, 4 Author Orcid Image ;   Adam Pardes1 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Saik P, Tsopa V, Cheberyachko S, Deryugin O, Sokurenko S, Suima I, Lozynskyi V. Improving the Process of Managing Psychosocial Risks in Organizations. Risk Management and Healthcare Policy 2024;Volume 17:2997 View
  2. Taha S, El-Sayed M, Khedr M, El-Ashry A, Abdelraof A, Sonbol H, Hawash M, Elhay E. Unraveling the power of sense of coherence: a key predictor of symptom severity among depressive disorders clients. BMC Nursing 2025;24(1) View
  3. Alshowkan A, Shdaifat E. Impact of AI Literacy on Well-Being Among Nursing Students—Mediating Roles of Empowerment and Anxiety: Cross-Sectional Study. JMIR Nursing 2025;8:e79789 View