Clinician Suicide Risk Assessment for Prediction of Suicide Attempt in a Large Health Care System
Clinicians stratify patients for suicide risk at levels significantly above chance. However, the predictive accuracy improves significantly by statistically incorporating information about recent suicidal thoughts and behaviors and other factors routinely assessed during clinical suicide risk assessment.
Authors
- Jasmin R. Brooks (ORCID: https://orcid.org/0000-0002-4222-5721)
- Hyunjoon Lee (ORCID: https://orcid.org/0000-0003-4694-7016)
- Taylor A. Burke (ORCID: https://orcid.org/0000-0001-8816-1463)
- Emily Madsen (ORCID: https://orcid.org/0000-0003-4632-3027)
- Kate H. Bentley (ORCID: https://orcid.org/0000-0002-6875-6440)
- Chris J. Kennedy (ORCID: https://orcid.org/0000-0001-7444-2766)
- Jordan W. Smoller
- Pratik N. Khadse
- Matthew J. Flics
Institutions
- Harvard University (US)
- Massachusetts General Hospital (US)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- JAMA Psychiatry
- Published
- 2025-04-09
- DOI
- https://doi.org/10.1001/jamapsychiatry.2025.0325
- Citations
- 14
- Primary Topic
- Suicide and Self-Harm Studies
- Type
- article
- Field-Weighted Citation Impact
- 32.30