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Risk Model-Guided Clinical Decision Support for Suicide Screening: A Randomized Clinical Trial
Colin G Walsh1,2,3, Michael A Ripperger1, Laurie Novak1
1Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.
JAMA Network Open
|January 3, 2025
Summary
Interruptive clinical decision support (CDS) significantly increased suicide risk assessments compared to noninterruptive CDS. This finding highlights the potential of targeted alerts in suicide prevention strategies.
Area of Science:
- Clinical Informatics
- Psychiatry
- Public Health
Background:
- Effective suicide prevention necessitates robust risk identification, intervention, and follow-up protocols.
- Current risk identification methods, including self-reporting and clinical screening, have limitations.
- Statistical risk models offer potential but face integration challenges within clinical workflows, particularly concerning alert burden and clinical decision support (CDS) effectiveness.
Purpose of the Study:
- To evaluate the effectiveness of risk model-driven clinical decision support (CDS) in prompting suicide risk assessments.
- To compare interruptive versus noninterruptive CDS alert systems for suicide risk assessment.
Main Methods:
- A comparative effectiveness randomized clinical trial involving 561 patients across neurology divisions at an academic medical center.
- Patients were randomized to either interruptive or noninterruptive CDS systems designed to prompt further suicide risk assessment using a real-time, validated statistical suicide attempt risk model.
- Suicide risk assessment documentation was manually reviewed to determine the main outcome (decision to assess risk in person) and secondary outcomes (rates of suicidal ideation and attempts).
Main Results:
- Interruptive CDS resulted in significantly more decisions to screen for suicide risk (42%) compared to noninterruptive CDS (4%) and the prior year's baseline rate (8%).
- The odds ratio for decisions to screen with interruptive CDS versus noninterruptive CDS was 17.70 (95% CI, 6.42-48.79; P < .001).
- No documented episodes of suicidal ideation or attempts were observed in either treatment arm during the study period.
Conclusions:
- Interruptive clinical decision support (CDS) significantly increases the rate of documented suicide risk assessments.
- The findings support the use of interruptive CDS for prompting in-person suicide risk evaluations.
- Further large-scale trials comparing interruptive CDS with standard care are recommended to assess its effectiveness in reducing suicidal self-harm.
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