Pilot Testing Suicide Risk Prediction Algorithms in Primary Care
Enrolling by invitation · Not applicable
Conditions studied: Suicide Prevention, Suicide Risk | Patient
In brief
The goal of this pilot study is to learn whether the use of suicide risk prediction algorithms in primary care can help identify people who may benefit from extra mental health monitoring. Specifically, this study aims to measure how use of the suicide risk prediction algorithm to prompt extra mental health monitoring among adult primary care patients impacts proportions of patients identified at risk of suicide and engaged in safety planning. Secondarily, we plan to measure proportions of patients identified at risk of suicide via mental health monitoring (irrespective of engagement in safety planning).
Key facts
- Study ID
- NCT07068685
- Run by
- Kaiser Permanente
- People needed
- 500000
- Starts
- 2025-03-05
- Expected to finish
- 2027-04-01
- Last updated by the study team
- 2026-08-06
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: accepted.
Where it is running
- Kaiser Permanente Washington Health Research Institute — Seattle, Washington, United States
Full record on ClinicalTrials.gov
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