Related Experiment Video
Updated: Jun 3, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
The predictive ability of the Classification of Violence Risk (COVR) in a forensic psychiatric hospital
Barbara E McDermott1, Isah V Dualan, Charles L Scott
1Division of Psychiatry and the Law, Department of Psychiatry, University of California, Davis, Sacramento, CA 95817, USA. bemcdermott@ucdavis.edu
Objective:
Aggression is a common problem in psychiatric and correctional facilities. An actuarial instrument, the Classification of Violence Risk (COVR), has demonstrated utility in predicting community aggression among civilly committed psychiatric patients and, more recently, an ability to predict institutional aggression in a forensic facility. This prospective study aimed to extend validation of the use of the COVR in a forensic facility.
Methods:
The study, conducted at a large U.S. forensic facility, used nursing records to document incidents of physical aggression by 146 patients for 20 weeks after COVR administration. Correlational and chi square analyses were conducted to evaluate the efficacy of the COVR in predicting aggression.
Results:
The COVR showed modest predictive ability for institutional aggression, with a correlation of .331 and an area under the curve of .725.
Conclusions:
Results support use of the COVR in a forensic facility; its ability to predict institutional aggression is similar to that found for community aggression.
Related Concept Videos
Relative Risk
Sensitivity, Specificity, and Predicted Value
Sensitivity is the...
Hazard Ratio
For example, in a clinical trial evaluating a...
Receiver Operating Characteristic Plot
Diagnostic and Statistical Manual of Mental Disorders (DSM)
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
The...
