The impact of co-occurring mental health problems on referral to and initiation of treatment among youth under probation supervision: Findings from a cluster randomized trial.

INTRODUCTION: Many youth under community supervision have substance use and co-occurring mental health issues. Yet, access to treatment is limited, and many programs cannot address co-occurring disorders. This study examines how co-occurring symptoms among youth on probation affect referral to and initiation of treatment. We hypothesize that both referral and initiation rates will be lower for youth with any co-occurring indicators. METHODS: This study collected administrative data from 14 sites in three states between March 2014 and November 2017 using JJ-TRIALS, a cluster randomized trial. Among 8552 youth in need of treatment (screened as having a substance use problem, drug possession arrest, positive drug test, etc.), 2069 received a referral to treatment and 1630 initiated treatment among those referred. A co-occurring indicator (n = 2828) was based on symptoms of an internalizing and/or externalizing issue. Descriptive analyses compared referral and initiation by behavioral health status. Two-level mixed effects logistic regression models estimated effects of site-level variables. RESULTS: Among youth in need with co-occurring internal, external, or both indicators, only 16 %, 18 %, and 20 % were referred to treatment and of those referred, 63 %, 69 %, and 57 % initiated treatment, respectively. Comparatively, 27 % and 83 % of youth with a substance use only indicator were referred and initiated treatment respectively. Multi-level multivariate models found that, contrary to our hypothesis, co-occurring-both (p = 0.00, OR 1.44) and co-occurring-internal indicators (p = 0.06, OR 1.25) predicted higher referral but there were no differences in initiation rates. However, there was substantial site-level variation. CONCLUSIONS: Youth on probation in need of substance use treatment with co-occurring issues have low referral rates. Behavioral health status may influence youth referral to treatment depending on where a youth is located. Depending on the site, there may be a lack of community programs that can adequately treat youth with co-occurring issues and reduce unmet service needs.

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

BACKGROUND: Previous 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. METHODS: Mixed 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. RESULTS: Rates 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. CONCLUSION: Individual 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.