Related Experiment Video
Updated: Oct 1, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Predictions made by psychiatrists and psychiatric nurses of violence by patients
Rachel Haim1, Jonathan Rabinowitz, Joseph Lereya
1Department of Social Work, Bar Ilan University, Israel.
Abstract:
Studies have shown that it is difficult for psychiatrists to accurately predict which patients will be violent while hospitalized. The authors compared the predictions of 14 psychiatrists and nine psychiatric nurses who independently evaluated 308 patients consecutively admitted to a hospital in Israel and rated their likelihood of becoming violent. The psychiatrists and nurses also completed a general questionnaire about the criteria they used to predict violence. No significant differences were found in the accuracy of predictions between the two professional groups or in the criteria they used to predict violence. The total predictive value, or proportion of all cases predicted correctly, was 82 percent for the psychiatrists and 84 percent for the nurses. The predictions of the two groups coincided for 83 percent of the patients. The results suggest that psychiatrists and psychiatric nurses make similarly accurate predictions of violence and use similar criteria for making them.
Related Concept Videos
Psychosurgery
Historical Development of Psychosurgery
In the 1930s, Portuguese neurologist Antonio Egas Moniz introduced a surgical procedure designed...
Psychosis: Goals of Pharmacotherapy
Documentation of Nursing Diagnosis
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters assessment...
Psychosis and Antipsychotic Drugs: Overview
Psychological and Sociocultural Causes of Schizophrenia
Borderline Personality Disorder
Genetic and Environmental Contributions
Borderline Personality...
