Pilot Testing Suicide Risk Prediction Algorithms in Primary Care

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

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).

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 10/6/25-4/30/26 (post-period or implementation period).

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