Predicting suicidal behavior and self-harm after general hospitalization of adults with serious mental illness.

ABSTRACT: Individuals with psychiatric disorders are vulnerable to adverse mental health outcomes following physical illness. This longitudinal cohort study defined risk profiles for readmission for suicidal behavior and self-harm after general hospitalization of adults with serious mental illness. Structured electronic health record data were analyzed from 15,644 general non-psychiatric index hospitalizations of individuals with depression, bipolar, and psychotic disorders admitted to an urban health system in the southwestern United States between 2006 and 2017. Using data from one-year prior to and including index hospitalization, supervised machine learning was implemented to predict risk of readmission for suicide attempt and self-harm in the following year. The Classification and Regression Tr

SUBMITTER: Edgcomb JB 

PROVIDER: S-EPMC8009812 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature