Clinical Note–Extracted Psychosocial Factors for Predicting Suicide Attempt Among ED Patients With Suicidal Ideation
In this prognostic study of patients discharged from the ED after presentation for SI, augmenting a clinical data-based suicide risk prediction model with clinical note-extracted psychosocial factors was associated with significantly higher predictive performance. These findings suggest that psychosocial factors can enhance risk stratification and support targeted interventions, such as therapies addressing chronic stress.
Authors
- Michael Ripperger (ORCID: https://orcid.org/0000-0002-9613-346X)
- Qingxia M Chen
- Cosmin Adrian Bejan (ORCID: https://orcid.org/0000-0001-5107-0584)
- Samuel A. Palmer
- Colin G. Walsh (ORCID: https://orcid.org/0000-0002-9379-2056)
- Theodore Morley (ORCID: https://orcid.org/0009-0004-6006-5903)
- Peyton L. Coleman (ORCID: https://orcid.org/0000-0001-5388-6886)
- Ketan Jadhav
- Hyunjoon Lee
- Lide Han
- Douglas M. Ruderfer
Institutions
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- JAMA Network Open
- Published
- 2026-03-04
- DOI
- https://doi.org/10.1001/jamanetworkopen.2026.0589
- Primary Topic
- Suicide and Self-Harm Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00