The SAVRY Improves Prediction of Reoffending

Author:

Åström Therese1,Gumpert Clara Hellner1,Andershed Anna-Karin2,Forster Martin3

Affiliation:

1. Department of Clinical Neuroscience, Centre for Psychiatry Research and Education, Karolinska Institutet, Stockholm, Sweden

2. Center for Criminological and Psychosocial Research, School of Law, Psychology and Social Work, Örebro University, Örebro, Sweden

3. Department of Clinical Neuroscience, Division of Psychology, Karolinska Institutet, Stockholm, Sweden

Abstract

Purpose: This study investigated the utility of the risk assessment “Structured Assessment of Violence Risk in Youth” (SAVRY) within the social services in Stockholm County, Sweden. Method: SAVRY assessments of 56 adolescents were compared to assessments guided by another instrument (Adolescent Drug Abuse Diagnosis [ADAD]; n = 38) and assessments without support of a structured method ( n = 38). Results: The results showed that social workers conducting SAVRY assessments documented a significantly larger number of risk and protective factors compared to the other assessments, and these factors predicted, with a few exceptions, reoffending to a larger extent. SAVRY summary risk rating significantly predicted the occurrence of serious violent crimes (area under the curve [AUC] = .80, p < .01) and less serious violence (AUC = .70, p < .05). Conclusions: SAVRY performed at least as well in naturalistic settings as in previous studies conducted in more controlled environments. Furthermore, the SAVRY performed better than the other structured instrument (ADAD).

Publisher

SAGE Publications

Subject

General Psychology,Sociology and Political Science,Social Sciences (miscellaneous)

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3