Patient expectations of and experiences with a suicide risk identification algorithm in clinical practice.

ABSTRACT:

Background

Suicide risk prediction models derived from electronic health records (EHR) and insurance claims are a novel innovation in suicide prevention but patient perspectives on their use have been understudied.

Methods

In this qualitative study, between March and November 2020, 62 patients were interviewed from three health systems: one anticipating implementation of an EHR-derived suicide risk prediction model and two others piloting different implementation approaches. Site-tailored interview guides focused on patients' perceptions of this technology, concerns, and preferences for and experiences with suicide risk prediction model implementation in clinical practice. A constant comparative analytic approach was used to derive themes.

Results

Interview participan

SUBMITTER: Yarborough BJH 

PROVIDER: S-EPMC9308306 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature