Literature DB >> 19309193

Gender differences in structured risk assessment: comparing the accuracy of five instruments.

Jeremy Coid1, Min Yang, Simone Ullrich, Tianqiang Zhang, Steve Sizmur, Colin Roberts, David P Farrington, Robert D Rogers.   

Abstract

Structured risk assessment should guide clinical risk management, but it is uncertain which instrument has the highest predictive accuracy among men and women. In the present study, the authors compared the Psychopathy Checklist-Revised (PCL-R; R. D. Hare, 1991, 2003); the Historical, Clinical, Risk Management-20 (HCR-20; C. D. Webster, K. S. Douglas, D. Eaves, & S. D. Hart, 1997); the Risk Matrix 2000-Violence (RM2000[V]; D. Thornton et al., 2003); the Violence Risk Appraisal Guide (VRAG; V. L. Quinsey, G. T. Harris, M. E. Rice, & C. A. Cormier, 1998); the Offenders Group Reconviction Scale (OGRS; J. B. Copas & P. Marshall, 1998; R. Taylor, 1999); and the total previous convictions among prisoners, prospectively assessed prerelease. The authors compared predischarge measures with subsequent offending and instruments ranked using multivariate regression. Most instruments demonstrated significant but moderate predictive ability. The OGRS ranked highest for violence among men, and the PCL-R and HCR-20 H subscale ranked highest for violence among women. The OGRS and total previous acquisitive convictions demonstrated greatest accuracy in predicting acquisitive offending among men and women. Actuarial instruments requiring no training to administer performed as well as personality assessment and structured risk assessment and were superior among men for violence.

Entities:  

Mesh:

Year:  2009        PMID: 19309193     DOI: 10.1037/a0015155

Source DB:  PubMed          Journal:  J Consult Clin Psychol        ISSN: 0022-006X


  9 in total

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Journal:  Neuroethics       Date:  2012-04-01       Impact factor: 1.480

2.  Women convicted for violent offenses: adverse childhood experiences, low level of education and poor mental health.

Authors:  Astrid Rossegger; Nicole Wetli; Frank Urbaniok; Thomas Elbert; Franca Cortoni; Jérôme Endrass
Journal:  BMC Psychiatry       Date:  2009-12-22       Impact factor: 3.630

3.  Predictive and incremental validity of the Violence Risk Appraisal Guide scores with male and female jail inmates.

Authors:  Mark E Hastings; Shilpa Krishnan; June P Tangney; Jeffrey Stuewig
Journal:  Psychol Assess       Date:  2011-03

4.  Predicting community violence from patients discharged from acute mental health units in England.

Authors:  Michael Doyle; Stuart Carter; Jenny Shaw; Mairead Dolan
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2011-03-10       Impact factor: 4.328

5.  The utility of the Historical Clinical Risk-20 Scale as a predictor of outcomes in decisions to transfer patients from high to lower levels of security--a UK perspective.

Authors:  Mairead Dolan; Regine Blattner
Journal:  BMC Psychiatry       Date:  2010-09-29       Impact factor: 3.630

6.  Structural analysis of the PCL-R and relationship to BIG FIVE personality traits and parenting characteristics in an Hispanic female offender sample.

Authors:  Hedwig Eisenbarth; Sandy Krammer; Bethany G Edwards; Kent A Kiehl; Craig Neumann
Journal:  Pers Individ Dif       Date:  2018-03-20

7.  Assessing the risk of imminent aggression in institutionalized youth offenders using the dynamic appraisal of situational aggression.

Authors:  Chi Meng Chu; Eric Hoo; Michael Daffern; Jolie Tan
Journal:  J Forens Psychiatry Psychol       Date:  2012-03-15

8.  Treatment of psychosis in prisons and violent recidivism.

Authors:  Artemis Igoumenou; Constantinos Kallis; Jeremy Coid
Journal:  BJPsych Open       Date:  2015-11-09

Review 9.  Patient outcomes following discharge from secure psychiatric hospitals: systematic review and meta-analysis.

Authors:  Seena Fazel; Zuzanna Fimińska; Christopher Cocks; Jeremy Coid
Journal:  Br J Psychiatry       Date:  2016-01       Impact factor: 9.319

  9 in total

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