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NCJRS Abstract

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  NCJ Number: NCJ 241679     Find in a Library
  Title: Can Standardized Measures of Risk Predict Inpatient Violence?: Combining Static and Dynamic Variables to Improve Accuracy
  Document URL: HTML 
  Author(s): Michael J. Vitacco ; Valerie Gonsalves ; James Tomony ; Brad E. R. Smith ; David A. Lishner
  Journal: Criminal Justice and Behavior  Volume:39  Issue:5  Dated:May 2012  Pages:589 to 606
  Date Published: 05/2012
  Page Count: 18
  Annotation: This present study examined the utility of static and dynamic measures used in risk assessment to predict aggressive behavior in a sample of 103 inpatients committed to a forensic hospital after being found not guilty by reason of insanity.
  Abstract: Predicting which forensic inpatients are likely to be violent is necessary if forensic hospitals are to implement effective risk management techniques. When conducting risk assessments, clinicians have at their disposal standardized risk assessment instruments that have demonstrated ability to predict violence. The present study examined the utility of static and dynamic measures used in risk assessment to predict aggressive behavior in a sample of 103 inpatients committed to a forensic hospital after being found not guilty by reason of insanity. Results indicated that both static and dynamic measures, including psychopathy, predicted inpatient aggression; however, neither type of measure provided incremental predictive validity above and beyond the other. Implications for predicting violence with forensic inpatients is discussed with the ultimate goal of implementing effective treatment interventions aimed at reducing violence. Abstract published by arrangement with Sage Journals.
  Main Term(s): Mentally ill inmates
  Index Term(s): Forensic psychiatry ; Aggression ; Threat assessment ; Instrument validation ; Violence prediction
  Type: Report (Study/Research)
  Country: United States of America
  Language: English
   
  To cite this abstract, use the following link:
https://www.ncjrs.gov/App/Publications/abstract.aspx?ID=263770

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