Target-based fusion using social determinants of health to enhance suicide prediction with electronic health records

ABSTRACT:

Objective

Preventing suicide in US youth is of paramount concern, with rates increasing over 50% between 2007 and 2018. Statistical modeling using electronic health records may help identify at-risk youth before a suicide attempt. While electronic health records contain diagnostic information, which are known risk factors, they generally lack or poorly document social determinants (e.g., social support), which are also known risk factors. If statistical models are built incorporating not only diagnostic records, but also social determinants measures, additional at-risk youth may be identified before a suicide attempt.

Methods

Suicide attempts were predicted in hospitalized patients, ages 10–24, from the State of Connecticut’s Hospital Inpatient Discharge Database (HIDD; N

SUBMITTER: Sacco S 

PROVIDER: S-EPMC10132649 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature