|
A systematic review of risk assessment strategies for populations at high risk of engaging in violent behaviour: update 2002-8 |
Whittington R, Hockenhull JC, McGuire J, Leitner M, Barr W, Cherry MG, Flentje R, Quinn B, Dundar Y, Dickson R |
|
|
Record Status This is a bibliographic record of a published health technology assessment from a member of INAHTA. No evaluation of the quality of this assessment has been made for the HTA database. Citation Whittington R, Hockenhull JC, McGuire J, Leitner M, Barr W, Cherry MG, Flentje R, Quinn B, Dundar Y, Dickson R. A systematic review of risk assessment strategies for populations at high risk of engaging in violent behaviour: update 2002-8. Health Technology Assessment 2013; 17(50) Authors' objectives To address two questions: (1) what study characteristics are associated with a risk assessment
instrument score being significantly associated with a violent outcome? and (2) which risk assessment
instruments have the highest level of predictive validity for a violent outcome? Authors' conclusions A very large number of studies examining the relationship between a structured instrument and a violent outcome were published in this relatively short 7-year period. The general quality of the literature is weak in places (e.g. over-reliance on cross-sectional designs) and a vast range of distinct instruments have been tested to varying degrees. However, there is evidence of some convergence around a small number of high-performing instruments and identification of the components of a high-quality evaluation approach, including AUC analysis. The upper limits (AUC 0.85) of instrument-based prediction have probably been achieved and are unlikely to be exceeded using instruments alone. Indexing Status Subject indexing assigned by NLM MeSH Adolescent; Adult; Cross-Sectional Studies; Females; Male; Mental Disorders /diagnosis; Mental Health Services; Middle Aged; Reproducibility of Results; Risk Assessment; Violence /psychology; Young Adult Language Published English Country of organisation England English summary An English language summary is available. Address for correspondence NETSCC, Health Technology Assessment, Alpha House, University of Southampton Science Park, Southampton, SO16 7NS UK Tel: +44 23 8059 5586 Email: hta@hta.ac.uk AccessionNumber 32013000806 Date abstract record published 06/11/2013 |
|
|
|