Predictive Ability of the Sexual Child Molestation Risk Assessment (SChiMRA+).

Area of Science:

• Forensic Psychology
• Child Sexual Abuse Prevention
• Risk Assessment

Background:

• Effective risk assessment tools are crucial for preventing child sexual abuse.
• Existing tools often lack the time-sensitivity needed for timely intervention.
• There is a need to predict motivations and behaviors related to sexual urges toward children.

Purpose of the Study:

• To evaluate the predictive accuracy of the Sexual Child Molestation Risk Assessment (SChiMRA+) scale.
• To determine if SChiMRA+ can identify individuals at heightened risk for sexually abusive acts.
• To assess the tool's utility in predicting both future offending and current child sexual abuse material (CSAM) use.

Main Methods:

• Longitudinal data from two clinical trials (Priotab and Prevent It) were analyzed.
• The Sexual Child Molestation Risk Assessment (SChiMRA+) self-report scale was utilized.
• Receiver Operating Characteristic (ROC) analysis was performed to determine predictive validity.

Main Results:

• An optimal cutoff of 4.5 on SChiMRA+ Part A indicated clinically significant heightened risk.
• High sensitivity (83.7%) and good specificity (63.7%) were found for same-week risk prediction (AUC = .802).
• High sensitivity (83.0%) and moderate specificity (53.1%) were observed for next-week risk prediction (AUC = .727).

Conclusions:

• SChiMRA+ Part A is a valuable tool for identifying increased risk of future sexually abusive behavior.
• The scale effectively identifies individuals likely engaging in ongoing CSAM use among those seeking help.
• SChiMRA+ demonstrates utility in time-sensitive risk assessment for child sexual abuse prevention.