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The classification of violence risk
John Monahan1, Henry J Steadman, Paul S Appelbaum
1School of Law, University of Virginia, 580 Massie Road, Charlottesville, VA 22903-1789, USA. jmonahan@virginia.edu
The Classification of Violence Risk (COVR) software helps estimate patient violence risk using chart reviews and interviews. It provides a statistically valid risk percentage and identifies contributing risk factors for mental health professionals.
Area of Science:
- Forensic Psychology
- Clinical Psychology
- Psychiatric Risk Assessment
Background:
- Accurate violence risk assessment is crucial for managing patients with mental disorders.
- Existing methods for violence risk assessment can be time-consuming and subjective.
- There is a need for reliable, evidence-based tools to aid clinical judgment.
Purpose of the Study:
- To introduce the Classification of Violence Risk (COVR) software.
- To describe the development and administration of the COVR software.
- To discuss practical issues encountered during COVR implementation.
Main Methods:
- Development of an interactive software program, COVR.
- Utilizing patient chart review and brief interviews for data collection.
- Generating a statistically valid violence risk estimate with confidence intervals.
Main Results:
- COVR provides a violence risk estimate ranging from 1% to 76%.
- The software generates a report detailing the risk estimate and identified risk factors.
- The development process and administrative considerations are discussed.
Conclusions:
- COVR offers a structured, data-driven approach to violence risk assessment in psychiatric settings.
- The software aims to enhance the accuracy and efficiency of risk evaluations.
- Further discussion on COVR administration addresses practical implementation challenges.
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