Too risky to use, or too risky not to? Lessons learned from over 30 years of research on forensic risk assessment with Indigenous persons

Bibliographic Data

ID4420274
AuthorsMark E Olver (0000-0002-2265-0034, University of Saskatchewan), Keira C Stockdale (0009-0003-2676-0294, University of Saskatchewan), L Maaike Helmus (0000-0002-5032-2548, Simon Fraser University), Phil Woods (0000-0002-5584-3561, University of Saskatchewan), Jordan Termeer (0000-0001-7859-8928, University of Saskatchewan), Jeremy Prince (0000-0003-1293-9595, University of Saskatchewan)
Year2024
Volume150
Issue5
Pages487-553
Publication date2024-05-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenuePsychological Bulletin (JOURNAL)
Journal identifiersISSN: 0033-2909 • E-ISSN: 1939-1455
PublisherAmerican Psychological Association (APA) (PUBLISHER)
DOI10.1037/bul0000414
PMID38358684
OpenAlexW4391846860
LanguageEN
Citations received13

237,729, non-Indigenous/White) and four documents identifying culturally relevant factors. Most measures demonstrated moderate predictive validity but often had significant ethnoracial differences, particularly for static measures. The Service Planning Instrument/Youth Assessment Screening Inventory, Level of Service Inventory youth variants, Psychopathy Checklist-Revised and Youth Version, and the Violence Risk Scale and its Sexual Offense version had the strongest predictive validity and least ethnoracial discrepancy. The Static Factors Assessment and Dynamic Factors Identification and Analysis-Revised had the weakest predictive validity. For Indigenous persons, the strongest individual predictors of recidivism were low education/employment, substance abuse, antisocial pattern, and poor community functioning, while mitigating factors that predicted decreased recidivism were measures of risk change (i.e., from culturally integrated programs combining mainstream and traditional healing approaches), cultural engagement/connectedness, and protective factors. In practice, static measures need to be supplemented with dynamic ones, and assessors should select measures with at least moderate predictive validity and ideally the least ethnoracial bias. These conclusions are tempered by the quantity and quality of the literature coupled with the circumstance that some study authors have coauthored tools in this review. (PsycInfo Database Record (c) 2024 APA, all rights reserved)

Computer security · Environmental health · Indigenous · Population · Predictive validity · Recidivism · Risk assessment · Applied Psychology · Clinical Psychology · Medicine · Psychology · Resilience and Mental Health · Social Psychology

Tools

Open DOI