Predictive Ability of the Sexual Child Molestation Risk Assessment (SChiMRA+).
The SChiMRA+ can help identify individuals at risk for future sexual offenses against children, but its predictive ability may be limited by the nature of self-reported data.
Where it sits
this study against the rest of the degarelix corpusSummary and findings
This study evaluated the predictive ability of the Sexual Child Molestation Risk Assessment (SChiMRA+) in identifying individuals at risk of acting on sexual urges toward children. The analysis included longitudinal data from two clinical trials involving 52 men with pedophilic disorder and 160 active users of child sexual abuse material. The findings suggest that SChiMRA+ can identify increased risk for future offending behavior.
Abstract
In the field of child sexual abuse prevention, there is a need for risk assessment tools that are time-sensitive and can predict an individual's risk of acting on sexual urges, whether this is watching child sexual abuse material (CSAM), interacting socially with a child for sexual purposes, or committing sexual abuse. We evaluated the predictive ability of the Sexual Child Molestation Risk Assessment (SChiMRA+), a self-report scale that assesses current motivation to act on sexual urges toward children (Part A) and captures past-week sexual behaviors toward children (Part B). Longitudinal data from two clinical trials aiming to reduce sexual behaviors toward children were analyzed; Priotab (testosterone-lowering medication; <i>n</i> = 52 men with pedophilic disorder; pseudonymized) and Prevent It (internet-delivered cognitive behavioral therapy; <i>n</i> = 160 active CSAM users; anonymous). A ROC analysis identified an optimal cutoff of 4.5 on Part A for indicating a clinically significant heightened risk for sexually abusive acts (same week: specificity 63.7%, sensitivity 83.7%, AUC = .802; next week: specificity 53.1%, sensitivity 83.0%, AUC = .727). These results indicate that SChiMRA+ part A can be used to identify increased risk for future offending behavior as well as probable ongoing CSAM use among self-identified help-seekers.
Background
This paper addresses the need for effective risk assessment tools in child sexual abuse prevention. Prior research has indicated a gap in reliable methods to predict an individual's risk of acting on sexual urges. The SChiMRA+ aims to fill this gap by assessing current motivations and past behaviors related to child sexual abuse.
Methods
The study analyzed longitudinal data from two clinical trials: Priotab with n=52 men with pedophilic disorder and Prevent It with n=160 active CSAM users. The SChiMRA+ consists of two parts, assessing motivation and past-week behaviors. The primary outcome measure was the predictive ability of Part A using ROC analysis.
Results
The ROC analysis identified an optimal cutoff of 4.5 on Part A for indicating a clinically significant heightened risk for sexually abusive acts. For the same week, the specificity was 63.7%, sensitivity was 83.7%, and AUC was .802. For the next week, specificity was 53.1%, sensitivity was 83.0%, and AUC was .727.
Interpretation
The findings suggest that SChiMRA+ Part A can effectively identify individuals at risk for future offending behavior, aligning with previous literature on risk assessment tools. However, the clinical significance of the identified cutoffs may be limited by the moderate specificity values. The reliance on self-reported data and small sample sizes may confound the results, limiting generalizability.
Key findings
- optimal cutoff of 4.5 on Part A for indicating heightened risk for sexually abusive acts
- same week: specificity 63.7%, sensitivity 83.7%, AUC = .802
- next week: specificity 53.1%, sensitivity 83.0%, AUC = .727
Limitations
- self-report measures may introduce bias
- small sample size in both trials
- results may not generalize beyond the studied populations
- no long-term follow-up reported