HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS Psychiatric Bulletin Advances in Psychiatric Treatment All RCPsych Journals		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Full Text Full Text (PDF) Submit an eLetter Alert me when this article is cited Alert me when eLetters are posted Alert me if a correction is posted Citation Map Services Email this article to a friend Related articles in BJP Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via CrossRef Citing Articles via Google Scholar Google Scholar Articles by BUCHANAN, A. Articles by LEESE, M. Search for Related Content PubMed PubMed Citation Articles by BUCHANAN, A. Articles by LEESE, M.

Quantifying the contributions of three types of information to the prediction of criminal conviction using the receiver operating characteristic

Yale University Department of Psychiatry, New Haven, Connecticut, USA

MORVEN LEESE, PhD

Health Services Research Department, David Goldberg Centre, Institute of Psychiatry, London, UK

Correspondence: Dr Alec Buchanan, Yale University Department of Psychiatry, 34 Park Street, New Haven,CT 06519, USA. E-mail: alec.buchanan{at}yale.edu

Declaration of interest None.

Background Quantifying the contributions that different types of information make to the accurate prediction of offending offers the prospects of improved practice and better use of resources.

Aims To quantify the contributions made by three types of information — demographic data alone, demographic and criminal record and demographic, criminal record and legal class of disorder — to the prediction of criminal conviction in patients.

Method All 425 patients discharged from the three special (high secure) hospitals in England and Wales over 2 years were followed for 10.5 years. The contribution of eachtype of information was described in terms of the area under the receiver operating characteristic curve (AUC) and the number needed to detain (NND).

Results The AUCvalues using the three types of information were 0.66, 0.72 and 0.73 respectively. Prediction based on the full model using an optimal probability cut-off implies an NND of 2. The AUCs for serious offences were 0.67, 0.69 and 0.75 respectively.

Conclusions For long-term prediction of conviction on any charge, information on legal class adds little to the accuracy of predictions made using only a patient’s age, gender and criminal record. In the prediction of serious offences alone the contribution of legal class is significant.

Related articles in BJP:

Highlights of this issue

SUKHWINDER S. SHERGILL
BJP 2006 188: 401-a17. [Full Text]  

PETER TYRER
BJP 2006 188: 500. [Full Text]  

This article has been cited by other articles:

				A. Buchanan Risk of Violence by Psychiatric Patients: Beyond the "Actuarial Versus Clinical" Assessment Debate Psychiatr Serv, February 1, 2008; 59(2): 184 - 190. [Abstract] [Full Text] [PDF]

				P. T Tyrer An agitation of contrary opinions The British Journal of Psychiatry, May 1, 2007; 190(49): s1 - s2. [Abstract] [Full Text] [PDF]