
Activity Introduction
Brief, feasible screening remains central to suicide risk assessment in clinical practice. This activity, based on a study published in The Journal of Clinical Psychiatry, compares the PHQ-2 sum score with machine learning models of increasing complexity for predicting suicidal ideation in US veterans. It addresses the interpretation of brief screening results and their integration into clinical workflows with a defined follow-up pathway.
CME Objectives
After reading this article, participants will be better able to:
- Compare the performance of the PHQ-2 sum score with machine learning–based models for predicting suicidal ideation and recognize when added model complexity does or does not provide clinically meaningful benefit.
- Interpret the sensitivity, specificity, positive predictive value, and negative predictive value of a brief screen to determine appropriate next steps after positive and negative results.
- Integrate brief, feasible screening such as the PHQ-2 into clinical workflows that include a defined follow-up pathway for patients who screen positive.
Available Credit
- 1.0 AMA PRA Category 1 Credit™
- 1.0 Participation

