NCT07068685

Pilot Testing Suicide Risk Prediction Algorithms in Primary Care

Pilot Testing Implementation of Suicide Risk Prediction Algorithms to Support Suicide Prevention in Primary Care

• Status: Enrolling By Invitation
• Phase: N/A
• Study type: Interventional
• Enrollment: 500,000 (estimated)
• Sponsor: Kaiser Permanente · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

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).

Conditions

• Suicide Prevention
• Suicide Risk | Patient

Interventions

Type	Name	Description
OTHER	Suicide risk prediction algorithm	Use of a suicide risk prediction algorithm, developed by the Mental Health Research Network (MHRN), will be used to prompt additional mental health monitoring. Mental health monitoring will include asking patients about suicidal thoughts (via the ninth question of the Patient Health Questionnaire-9, PHQ-9), followed by suicide risk assessment (via use of a brief self-administered version of the Columbia Suicide Risk Severity Rating Scale, C-SSRS), followed by Safety Planning with a designated member of the primary care team.

Timeline

• Start date: 2025-03-05
• Primary completion: 2026-04-30
• Completion: 2027-04-01
• First posted: 2025-07-16
• Last updated: 2026-03-20

Locations

1 site across 1 country: United States