acePredicting Self-Harm Events After Emergency Department Visits Associated With Mental or Substance Use Disorder Diagnoses
Objective Using a machine learning model, the authors aimed to predict self-harm events within 90 days of an emergency department (ED) visit associated with a mental or substance use disorder diagnosis. Methods Electronic health record and claims data of patients ages ≥11 years from seven integrated health systems were used to identify ED visits and diagnoses. Data on 1,254 predictors were extracted for the 60 months before an ED visit, and self-harm was measured in the 90 days after this visit. Logistic regress…
A machine learning model using health record and claims data separated emergency department patients by 90-day self-harm risk, which could help target safety planning and follow-up after discharge.
Evidence
- Peer-reviewedPsychiatric Services2026-10-14
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Truvace Impact Record TRV-2026-1993, v1: “Predicting Self-Harm Events After Emergency Department Visits Associated With Mental or Substance Use Disorder Diagnoses.” Truvace, 2026-10-20. /record/TRV-2026-1993 (accessed at citation time). sha256 b0ab3e3bdb4f28c1…
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