Understanding factors associated with re-referral of youth for commercial sexual exploitation.

BACKGROUND: Since the passage of the Victims of Trafficking and Violence Prevention Act of 2000 in the United States, awareness has increased about the problem of commercial sexual exploitation of children (CSEC). Moreover, United States Federal law calls upon child welfare agencies to establish policies and practices that help identify and provide services to minors at risk of CSEC. Although awareness has increased about the problem of CSEC, little attention has been paid to understanding why some youths are re-referred to CSEC programs after initial referral and intervention. OBJECTIVE: The present study examines which factors drive re-referrals of youths for CSEC concerns. PARTICIPANTS AND SETTING: Data about a population of high-risk youths (n = 416) referred to a CSEC-specific program in the Northeast of the United States between 2011 and 2018. METHODS: Using logistic regression analyses, we investigate what factors are associated with youth having multiple referrals. RESULTS: Youths with multiple referrals were more likely to have histories of missing from care (OR = 2.996, p < 0.001), substance misuse (OR = 2.802, p < 0.01), and greater agency involvement (OR = 1.260, p < 0.05). However, youths with multiple referrals were not at heightened risk of CSEC as compared to youths that were not re-referred. CONCLUSION: The results demonstrate that re-referred youths meet the profile of a victim as depicted on screening and assessment instruments, which has important implications for victim services and referral systems dedicated to identifying CSEC and protecting youths who may experience re-victimization for CSEC.

Enhancing the Identification of Commercial Sexual Exploitation Among a Population of High-Risk Youths Using Predictive Regularization Models.

Despite an increasing awareness about the existence and harms of commercial sexual exploitation of children (CSEC), the identification of victims remains a challenge for practitioners, hindering their ability to provide appropriate services. Tools that gauge risk of CSEC support the identification of victims but are underdeveloped because most tools assess risk of CSEC within a general youth population. An understanding of what predicts actual CSEC victimizations among youths at higher risk of CSEC due to experiences of childhood adversities has been left unassessed. Research in this area is limited in part because traditional methods do not allow for an assessment of the unique impact of childhood adversities that tend to co-occur. To address these difficulties, the current study applied predictive regularization methods to identify the most decisive risk items for CSEC. Proximal risk of CSEC was assessed among 317 youths who were referred to a specialized program in the Northeast of the United States due to suspicion of CSEC. With an innovative methodological approach, this study seeks to prompt other scholars to examine risk utilizing novel techniques and provides a foundation for the development of concise tools that assess risk of CSEC among populations of youths at higher levels of risk.