Dynamic risk as a predictor of treatment non‐completion in sexual offenders: An evaluation of the static‐ <scp>99R</scp> , Stable‐2007 and <scp>URICA</scp>

Abstract Purpose The present study examined whether three commonly used assessment instruments can predict treatment non‐completion from a community treatment programme for individuals convicted of sexual offences. Method All 289 male sexual offenders in the sample completed a standard intake assessment, which included a clinical interview, completion of the URICA, the Static‐99R and the Stable‐2007. Clinicians certified in the administration of the Static‐99R and Stable‐2007 administered, scored and interpreted these instruments based on information from the clinical interview and collateral records. Results The Stable‐2007 consistently predicted treatment attrition, whereas the Static‐99R and URICA did not add significant predictive power once dynamic risk was accounted for. Item‐level analysis of the Stable‐2007 revealed that Poor Problem Solving was the strongest individual risk factor associated with treatment non‐completion, though other subscales of the Stable‐2007 also predicted non‐completion. Conclusions These findings suggest that dynamic criminogenic needs may play a central role in identifying which sexual offenders are at risk of not completing treatment. The implications of this exploratory study are discussed, including how the Stable‐2007 can help identify criminogenic needs for intervention to improve treatment completion rates.

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Journal
Legal and Criminological Psychology
Published
2026-06-08
DOI
https://doi.org/10.1111/lcrp.70045
Primary Topic
Psychopathy, Forensic Psychiatry, Sexual Offending
Type
article
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article

Dynamic risk as a predictor of treatment non‐completion in sexual offenders: An evaluation of the static‐ 99R , Stable‐2007 and URICA

Kaitlin Guston, Stacey Benson, Richard Wise, McKenzie Schueller et al.
Legal and Criminological Psychology
Psychopathy, Forensic Psychiatry, Sexual Offending
article

Dynamic risk as a predictor of treatment non‐completion in sexual offenders: An evaluation of the static‐ 99R , Stable‐2007 and URICA

Kaitlin Guston, Stacey Benson, Richard Wise, McKenzie Schueller, Courtney Tindell, Andrew Lantz
article en

Abstract

Abstract Purpose The present study examined whether three commonly used assessment instruments can predict treatment non‐completion from a community treatment programme for individuals convicted of sexual offences. Method All 289 male sexual offenders in the sample completed a standard intake assessment, which included a clinical interview, completion of the URICA, the Static‐99R and the Stable‐2007. Clinicians certified in the administration of the Static‐99R and Stable‐2007 administered, scored and interpreted these instruments based on information from the clinical interview and collateral records. Results The Stable‐2007 consistently predicted treatment attrition, whereas the Static‐99R and URICA did not add significant predictive power once dynamic risk was accounted for. Item‐level analysis of the Stable‐2007 revealed that Poor Problem Solving was the strongest individual risk factor associated with treatment non‐completion, though other subscales of the Stable‐2007 also predicted non‐completion. Conclusions These findings suggest that dynamic criminogenic needs may play a central role in identifying which sexual offenders are at risk of not completing treatment. The implications of this exploratory study are discussed, including how the Stable‐2007 can help identify criminogenic needs for intervention to improve treatment completion rates.

Legal and Criminological Psychology
University of Wisconsin–Madison (US), University of North Dakota (US), North Dakota State University (US)
Gender equality
Openalex Percentile: Top 4%
Psychopathy, Forensic Psychiatry, Sexual Offending
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Dynamic risk as a predictor of treatment non‐completion in sexual offenders: An evaluation of the static‐ <scp>99R</scp> , Stable‐2007 and <scp>URICA</scp> — Kaitlin Guston, Stacey Benson, et al. · Legal and Criminological Psychology (2026) | TGRS Research Map | TGRS