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Evaluating Suicide Risk Stratification in Outpatient Settings: A Vignette-Based Approach
Melissa A Litschi1, Steven L Lancaster1, David J Linkh1
1Institute for Quality, Cohen Veterans Network, Stamford, Connecticut, USA.
Therapists can assess suicide risk reliably, but treatment decisions often prioritize case specifics over risk model guidelines. This highlights needs for consistent training in suicide risk assessment and stratification for military personnel and veterans.
Area of Science:
- Mental Health Research
- Clinical Psychology
- Military Suicide Prevention
Background:
- Suicide risk assessment and stratification are critical for preventing suicide in military service members and veterans.
- Understanding how mental health therapists make clinical decisions in this area is essential but understudied.
Purpose of the Study:
- To investigate how therapists assess suicide risk and determine treatment dispositions using standardized risk levels.
- To identify factors influencing therapists' clinical decision-making in suicide risk stratification.
Main Methods:
- A mixed-method approach using six vignettes with varying risk levels based on the Rocky Mountain MIRECC Risk Stratification Table.
- Mental health therapists evaluated vignette risk, determined treatment, and provided justifications.
- Qualitative analysis explored conceptual understanding and decision-making processes.
Main Results:
- Therapists demonstrated reliability in assessing suicide risk levels across vignettes.
- Treatment planning was influenced more by vignette-specific details than by the core risk stratification model.
- Qualitative data revealed inconsistencies in defining and perceiving key concepts related to suicide risk.
Conclusions:
- Vignettes are a viable tool for assessing clinical decision-making in suicide risk assessment.
- Findings indicate a need for enhanced training and research to standardize the application of suicide risk models.
- Addressing conceptual variations is crucial for improving suicide prevention strategies for military populations.
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