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Using self-report inventories to assess recidivism risk among prisoners about to be released on parole supervision in Sweden

Vasiljevic, Zoran; Öjehagen, Agneta LU and Andersson, Claes (2017) In Journal of Scandinavian Studies in Criminology and Crime Prevention p.1-9
Abstract

Prison release planning is rarely based on adequate assessment using evidence-based instruments. This study uses well-established self-reports for screening of problem severity and for predicting recidivism, measured as reconvictions during one-year following release, in prisoners about to be conditionally released on probation in Sweden between 2009 and 2010. One Hundred and six prisoners completed the following measures: Karolinska Scales of Personality, Hopkins Symptom Checklist-25, Alcohol Use Disorders Identification Test, Drug Use Disorders Identification Test. Results show frequent mental health and substance use problems and high scores on the KSP psychopathy factor. Anxiety and problematic drug use were the two most important... (More)

Prison release planning is rarely based on adequate assessment using evidence-based instruments. This study uses well-established self-reports for screening of problem severity and for predicting recidivism, measured as reconvictions during one-year following release, in prisoners about to be conditionally released on probation in Sweden between 2009 and 2010. One Hundred and six prisoners completed the following measures: Karolinska Scales of Personality, Hopkins Symptom Checklist-25, Alcohol Use Disorders Identification Test, Drug Use Disorders Identification Test. Results show frequent mental health and substance use problems and high scores on the KSP psychopathy factor. Anxiety and problematic drug use were the two most important factors associated with one-year recidivism. Prior to release, self-reports could be useful for screening of problem severity, and for predicting recidivism.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
epub
subject
keywords
parole, prediction, recidivism, risk factor, screening, Self-report
in
Journal of Scandinavian Studies in Criminology and Crime Prevention
pages
9 pages
publisher
Routledge
external identifiers
  • scopus:85030719330
ISSN
1404-3858
DOI
10.1080/14043858.2017.1386441
language
English
LU publication?
yes
id
f9ff3659-0ae7-48ba-abf6-cf092b49ecd0
date added to LUP
2017-10-16 08:56:52
date last changed
2018-01-07 12:22:27
@article{f9ff3659-0ae7-48ba-abf6-cf092b49ecd0,
  abstract     = {<p>Prison release planning is rarely based on adequate assessment using evidence-based instruments. This study uses well-established self-reports for screening of problem severity and for predicting recidivism, measured as reconvictions during one-year following release, in prisoners about to be conditionally released on probation in Sweden between 2009 and 2010. One Hundred and six prisoners completed the following measures: Karolinska Scales of Personality, Hopkins Symptom Checklist-25, Alcohol Use Disorders Identification Test, Drug Use Disorders Identification Test. Results show frequent mental health and substance use problems and high scores on the KSP psychopathy factor. Anxiety and problematic drug use were the two most important factors associated with one-year recidivism. Prior to release, self-reports could be useful for screening of problem severity, and for predicting recidivism.</p>},
  author       = {Vasiljevic, Zoran and Öjehagen, Agneta and Andersson, Claes},
  issn         = {1404-3858},
  keyword      = {parole,prediction,recidivism,risk factor,screening,Self-report},
  language     = {eng},
  month        = {10},
  pages        = {1--9},
  publisher    = {Routledge},
  series       = {Journal of Scandinavian Studies in Criminology and Crime Prevention},
  title        = {Using self-report inventories to assess recidivism risk among prisoners about to be released on parole supervision in Sweden},
  url          = {http://dx.doi.org/10.1080/14043858.2017.1386441},
  year         = {2017},
}