Pilot Testing Suicide Risk Prediction Algorithms in Primary Care

Kaiser Permanente

Status: Invitation-only

Conditions: Suicide Prevention; Suicide Risk | Patient

Treatments: Other: Suicide risk prediction algorithm

Study type: Interventional

Funder types: Other; NIH

Identifiers

NCT07068685

2019330

R34MH132829 (U.S. NIH Grant/Contract)

Details and patient eligibility

About

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).

Enrollment: 500,000 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria: Any type of adult primary care visit/encounter at Kaiser Permanente Washington (KPWA) between 3/5/25-10/5/25 (pre-period) and '10/6/25-4/5/26 (post-period or implementation period).

Exclusion Criteria: Primary care visit/encounter among people under 18 years old.

Trial design

Primary purpose: Health Services Research

Allocation: Non-Randomized

Interventional model: Crossover Assignment

Masking: None (Open label)

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500,000 participants in 2 patient groups

Suicide risk monitoring

Experimental group

Description:

Quality improvement intervention: 6 months following implementation of the suicide risk prediction algorithm in primary care to prompt extra mental health monitoring.

Treatment:

Other: Suicide risk prediction algorithm

Usual Care

No Intervention group