Predicting initiation to treatment for youth on probation: A multi-level approach

Abstract

BackgroundPrevious research on youth involved in the juvenile legal system (JLS), who have higher substance use prevalence than other adolescents, has focused on treatment outcomes post-initiation. Scant research has examined factors affecting treatment initiation following JLS referral. The current work addresses this gap by estimating net impacts of state, site, and client attributes on initiating treatment. MethodsMixed effects logistic regression models analyzed data from the Behavioral Health Services Cascade framework of the JJ-TRIALS project for 5325 youth records from 22 sites across six states, using weighted hot deck imputation to address missing data. The analysis permitted estimating net impacts of individual factors while controlling for state variation factors and separating out within-state site variation. ResultsRates of treatment initiation varied significantly across sites. About 63% of outcome variation arose from site and state disparities. The odds of initiating treatment were 127% higher for youth under a higher supervision level compared to youth under low supervision. Race and ethnicity were significantly associated with initiation, with Black and Hispanic youth having 44% and 42% lower odds of initiating treatment, respectively. ConclusionIndividual factors, including race, ethnicity, and level of supervision, significantly differed in treatment initiation, controlling for between-state variation and allowing between-site-within-state effects to operate separately. A deeper understanding of factors shaping initiation may help behavioral health and JLS agencies to develop strategies to increase initiation for referred youth. This is the first study delineating individual, cross-program, and between-state variation in treatment initiation among referred youth.