Risk assessment in offenders with mental disorders: relative efficacy of personal demographic, criminal history, and clinical variables
Autor: | Nicola S. Gray, Julie Taylor, Phil Huckle, Simon Christopher Moore, Malcolm Macculloch, Sophie I. MacCulloch, Helen K. Phillips |
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Rok vydání: | 2005 |
Předmět: |
Adult
Male medicine.medical_specialty Adolescent Poison control Suicide prevention Personality Disorders Risk Assessment Severity of Illness Index Occupational safety and health 03 medical and health sciences 0302 clinical medicine Predictive Value of Tests Risk Factors Injury prevention medicine Secondary Prevention Humans Medical history 030216 legal & forensic medicine Psychiatry Applied Psychology Aged Analysis of Variance Recidivism Criminal record Mental Disorders Sex Offenses Human factors and ergonomics Forensic Psychiatry Middle Aged United Kingdom 030227 psychiatry Clinical Psychology Female Psychology |
Zdroj: | Journal of interpersonal violence. 20(7) |
ISSN: | 0886-2605 |
Popis: | Following the meta-analysis by Bonta, Law, and Hanson, (1998) this study examined the ability of personal demographic, criminal history, and clinical variables to predict reoffending in offenders in the United Kingdom who had mental disorders. The efficacy of each variable in predicting rate of general reoffending and violent reoffending was investigated. Age on admission, number of days hospitalized, and number of previous offenses were the most effective variables in predicting re-offending, with number of previous offenses being the strongest predictor. Clinical diagnosis was not predictive of reoffending when the variance attributable to these other predictors was controlled for. None of the variables were able to discriminate between general offenders and violent offenders indicating that the same variables predict both types of reoffending. The results showed that reconviction in offenders with mental disorders can be predicted using the same criminogenic variables that are predictive in offenders without mental disorders. |
Databáze: | OpenAIRE |
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