Building mental health professionals\u27 decisional models into tests of predictive validity: the accuracy of contextualized predictions of violence

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\u27 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\u27 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\u27 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