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Prediction of Suicide Attempts Using Clinician Assessment, Patient Self-report, and Electronic Health Records

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Key Points Question What is the best method to predict which patients presenting to the emergency department will make a suicide attempt within 1 and 6 months after the visit?… Click to show full abstract

Key Points Question What is the best method to predict which patients presenting to the emergency department will make a suicide attempt within 1 and 6 months after the visit? Findings This prognostic study of 1818 patients found that prediction of suicide attempts in the 1 month and 6 months after a patient visited an emergency department was significantly improved using machine learning models applied to data from a brief patient self-report scale, especially when supplemented with data from patients’ electronic health records and/or clinicians’ assessments. Meaning This study suggests that clinicians can improve their ability to identify patients at high risk of suicide by using data from a brief patient self-report scale and electronic health records.

Keywords: self report; health records; prediction suicide; electronic health; patient self

Journal Title: JAMA Network Open
Year Published: 2022

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