Building mental health professionals' decisional models into tests of predictive validity: the accuracy of contextualized predictions of violence
Department of Psychiatry
Adolescent; Adult; Alcohol Drinking; Case-Control Studies; *Decision Support Techniques; *Emergency Services, Psychiatric; Female; Humans; Linear Models; Male; Matched-Pair Analysis; Mental Disorders; Middle Aged; Reproducibility of Results; Risk Assessment; *Violence
Behavioral Disciplines and Activities | Behavior and Behavior Mechanisms | Health Services Research | Mental and Social Health | Psychiatry | Psychiatry and Psychology
To safely manage potentially violent patients in the community, mental health professionals (MHPs) must assess when and under what conditions a patient may be involved in a violent act. This study applies a more ecologically sensitive approach than past research by building the conditions that MHPs believe make patient violence more likely into tests of their predictive validity. In specific, the accuracy of MHPs' predictions that patients were more likely to become violent when they consumed alcohol was assessed based on a sample of 714 patients. The results indicate that MHPs do not discriminate well between patients who are likely to become violent during periods in which they drink from those who are not. MHPs' predictions appear more descriptive of the drinking behavior of a high-risk group than predictive of alcohol-related violent incidents. Thus, even when their apparent decisional processes are considered in tests of accuracy, MHPs' predictions of violence are only moderately more accurate than chance. This paper analyzes the implications of these findings for risk assessment practice and for conducting further clinically relevant research.
Law Hum Behav. 2000 Dec;24(6):607-28. Reprinted in: H. Bloom and C. Webster, Essential Writings in Violence Risk Assessment and Management, Centre for Addiction and Mental Health, 2007.
Law and human behavior
Skeem, Jennifer L.; Mulvey, Edward P.; and Lidz, Charles W., "Building mental health professionals' decisional models into tests of predictive validity: the accuracy of contextualized predictions of violence" (2000). Systems and Psychosocial Advances Research Center Publications and Presentations. 100.