Premium
Risk Assessment: Actuarial Prediction and Clinical Judgement of Offending Incidents and Behaviour for Intellectual Disability Services
Author(s) -
Lindsay William R.,
Beail Nigel
Publication year - 2004
Publication title -
journal of applied research in intellectual disabilities
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.056
H-Index - 63
eISSN - 1468-3148
pISSN - 1360-2322
DOI - 10.1111/j.1468-3148.2004.00212.x
Subject(s) - judgement , psychology , intellectual disability , actuarial science , risk assessment , predictive validity , clinical judgement , mainstream , applied psychology , computer science , clinical psychology , medicine , psychiatry , economics , political science , emergency medicine , computer security , law
Background Research on prediction of violent and sexual offending behaviour has developed considerably in the mainstream criminological literature. Apart from one publication [Quinsey (2004) Offenfers with Developmental Disabilities , pp. 131–142] this has not been extended to the field of intellectual disabilities. Methods Work on actuarial instruments, dynamic variables, clinical judgement and structured clinical judgement is reviewed. Results A number of studies comparing actuarial instruments in terms of their predictive validity are reviewed. Relative effectiveness and applicability to intellectual disability is considered. A framework for dynamic variables is outlined and the importance of dynamic variables for inclusion in risk prediction is established. Strengths and limitations of clinical judgement are reported and the importance of reliability is noted. Finally, structured clinical judgement is reviewed in terms of the way in which it combines the other three groups of variables. Conclusions The information regarding different methods of risk assessment is integrated with research and opinion contained in the Special Issue. Risk prediction will always be a judgement and as such there will always be errors in judgement. As clinicians, researchers and policy makers it is our duty to employ the latest research information to make predictions that are as accurate as possible. However, we must also help to promote a culture that can be tolerant of inevitable errors.