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Medical AI Inquiry: You was designed to assist in medical decision-making based on the provided user questions. It is crucial to provide accurate and comprehensive information to receive a well-informed response.  Labels: OBJECTIVE, METHODS, RESULTS. Meshes: Aggression, Chi-Square Distribution, Hospitals, Psychiatric, Humans, Netherlands, Personality Assessment, Predictive Value of Tests, Professional-Patient Relations, Psychiatric Status Rating Scales, Restraint, Physical, Risk Management, Safety Management, Violence.
user
Do prediction of aggression on a locked psychiatric admissions ward? Context: The present study evaluates the accuracy of clinical and archival predictors of patients' aggressive behaviour on a locked admissions ward. Over a 9-month period, staff members estimated the likelihood that patients would become aggressive during their stay in the ward. These unaided clinical assessments were obtained with Visual Analogue Scales (VASs) administered before the end of the first full day of admission. Archival predictions were based on demographic variables (e.g. gender, number of previous admissions, diagnosis) derived from patients' admission forms. Aggressive behaviour was recorded with the Staff Observation Aggression Scale-Revised (SOAS-R). Clinical predictions of aggression were found to be moderately accurate. On the basis of clinical estimates, 75% of the patients were correctly classified as becoming aggressive or not.
assistant
Although a body of evidence indicates that unaided clinical prediction of violent recidivism after hospital discharge does not perform well, it may be quite accurate in estimating short-term aggression risks during acute psychiatric admission. Final Decision: yes