Risk Model-Guided Clinical Decision Support for Suicide Screening: A Randomized Clinical Trial.

ABSTRACT:

Importance

Suicide prevention requires risk identification, intervention, and follow-up. Traditional risk identification relies on patient self-reporting, support network reporting, or face-to-face screening. Statistical risk models have been studied and some have been deployed to augment clinical judgment. Few have been tested in clinical practice via clinical decision support (CDS). Barriers to effective CDS include potential alert burden for a stigmatized clinical problem and lack of data on how best to integrate scalable risk models into clinical workflows.

Objective

To evaluate the effectiveness of risk model-driven CDS on suicide risk assessment.

Design, setting, and participants

This comparative effectiveness randomized clinical trial was performed from August

SUBMITTER: Walsh CG 

PROVIDER: S-EPMC11699529 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature