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Suicide in recently released prisoners: a case-control study

Published online by Cambridge University Press:  01 September 2009

D. Pratt
Affiliation:
Centre for Suicide Prevention, School of Community-Based Medicine, University of Manchester, UK
L. Appleby
Affiliation:
Centre for Suicide Prevention, School of Community-Based Medicine, University of Manchester, UK
M. Piper
Affiliation:
Centre for Suicide Prevention, School of Community-Based Medicine, University of Manchester, UK
R. Webb
Affiliation:
Centre for Suicide Prevention, School of Community-Based Medicine, University of Manchester, UK
J. Shaw*
Affiliation:
Centre for Suicide Prevention, School of Community-Based Medicine, University of Manchester, UK
*
*Address for correspondence: J. Shaw, F.R.C.Psych, Centre for Suicide Prevention, School of Community-Based Medicine, 2nd Floor, Jean McFarlane Building, University of Manchester, Oxford Road, Manchester M13 9PL, UK. (Email: jennifer.shaw@manchester.ac.uk)
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Abstract

Background

Recently released prisoners are at markedly higher risk of suicide than the general population. The aim of this study was to identify key risk factors for suicide by offenders released from prisons in England and Wales.

Method

All suicides committed by offenders within 12 months of their release from prison in England and Wales, between 2000 and 2002, were identified. One control matched on gender and date of release from prison was recruited for each case. Univariate and multivariate logistic regression modelling identified key independent risk factors for suicide.

Results

Of 256 920 released prisoners, 384 suicides occurred within a year of release. Factors significantly associated with post-release suicide were increasing age over 25 years, released from a local prison, a history of alcohol misuse or self-harm, a psychiatric diagnosis, and requiring Community Mental Health Services (CMHS) follow-up after release from prison. Non-white ethnicity and a history of previous imprisonment were protective factors.

Conclusions

There is a need to improve the continuity of care for people who are released from prison and for community health, offender and social care agencies to coordinate care for these vulnerable individuals.

Information

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2009
Figure 0

Table 1. Univariate conditional logistic regression analysis of personal and criminological information for cases and controls

Figure 1

Table 2. Variables considered for entry into the multivariate conditional logistic regression model of personal and criminological information

Figure 2

Table 3. Multivariate conditional logistic regression analysis of personal and criminological information for cases and controls

Figure 3

Table 4. Characteristics of case-control pairs whose Inmate Medical Records (IMRs) were and were not received (years 2001 and 2002)

Figure 4

Table 5. Univariate conditional logistic regression analysis of IMR information for cases and controls

Figure 5

Table 6. Independent variables considered for entry into the multivariate conditional logistic regression model

Figure 6

Table 7. Final multivariate conditional logistic regression model