Predicting suicide death after emergency department visits with mental health or self-harm diagnoses.

ABSTRACT:

Objective

Use health records data to predict suicide death following emergency department visits.

Methods

Electronic health records and insurance claims from seven health systems were used to: identify emergency department visits with mental health or self-harm diagnoses by members aged 11 or older; extract approximately 2500 potential predictors including demographic, historical, and baseline clinical characteristics; and ascertain subsequent deaths by self-harm. Logistic regression with lasso and random forest models predicted self-harm death over 90 days after each visit.

Results

Records identified 2,069,170 eligible visits, 899 followed by suicide death within 90 days. The best-fitting logistic regression with lasso model yielded an area under the receiver operati

SUBMITTER: Simon GE 

PROVIDER: S-EPMC10939795 | biostudies-literature | 2024 Mar-Apr

REPOSITORIES: biostudies-literature