Version 3 of the Historical-Clinical-Risk Management-20 (HCR-20V3): Relevance to Violence Risk Assessment and Management in Forensic Conditional Release Contexts

2014 ◽  
Vol 32 (5) ◽  
pp. 557-576 ◽  
Author(s):  
Kevin S. Douglas
2019 ◽  
Vol 46 (4) ◽  
pp. 528-549 ◽  
Author(s):  
Vivienne de Vogel ◽  
Mieke Bruggeman ◽  
Marike Lancel

Most violence risk assessment tools have been validated predominantly in males. In this multicenter study, the Historical, Clinical, Risk Management–20 (HCR-20), Historical, Clinical, Risk Management–20 Version 3 (HCR-20V3), Female Additional Manual (FAM), Short-Term Assessment of Risk and Treatability (START), Structured Assessment of Protective Factors for violence risk (SAPROF), and Psychopathy Checklist–Revised (PCL-R) were coded on file information of 78 female forensic psychiatric patients discharged between 1993 and 2012 with a mean follow-up period of 11.8 years from one of four Dutch forensic psychiatric hospitals. Notable was the high rate of mortality (17.9%) and readmission to psychiatric settings (11.5%) after discharge. Official reconviction data could be retrieved from the Ministry of Justice and Security for 71 women. Twenty-four women (33.8%) were reconvicted after discharge, including 13 for violent offenses (18.3%). Overall, predictive validity was moderate for all types of recidivism, but low for violence. The START Vulnerability scores, HCR-20V3, and FAM showed the highest predictive accuracy for all recidivism. With respect to violent recidivism, only the START Vulnerability scores and the Clinical scale of the HCR-20V3 demonstrated significant predictive accuracy.


2002 ◽  
Vol 29 (5) ◽  
pp. 617-658 ◽  
Author(s):  
Kevin S. Douglas ◽  
P. Randall Kropp

The rationale for this article was to outline and describe an emerging model of prevention-based violence risk assessment and management and to discuss attendant clinical and research implications. This model draws on structured professional judgment rather than on actuarial prediction or unstructured clinical prediction. Its purpose is to prevent violence through the assessment of relevant violence risk factors and the application of risk management and intervention strategies that flow directly from these factors. The authors discuss the nature of the clinical tasks that stem from the model as well as a four-step validation procedure required to evaluate it.


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