Conditions of successful treatment referral practices with justice-involved youth: Qualitative insights from probation and service provider staff involved in JJ-TRIALS.

INTRODUCTION: Compared to the general U.S. adolescent population, young people involved in the juvenile justice system are at greater risk of experiencing substance use (SU) issues. There are critical opportunities across the juvenile justice continuum, at points of interface with community-based treatment services, to screen and assess for SU issues, identify unmet treatment needs, and refer those in need to treatment. The treatment referral process is, however, complex, and contingent on a seamless nexus between juvenile justice operations and the wider treatment provider landscape. Given the lack of successful SU referrals among justice-involved youth and the variable referral rates across jurisdictions, this study's aim is to provide a qualitative, explanatory understanding of the conditions that together contribute to successful referring practices. METHODS: The study is based on an analysis of a qualitative dataset comprising focus group data with probation and community-based behavioral health treatment staff working in 31 sites in 6 different states as part of the clustered randomized trial of an organizational change intervention known as JJ-TRIALS (Juvenile Justice Translational Research on Interventions for Adolescents in the Legal System). The data contain respondents' narratives on the achievements, successes, and challenges with implementing the intervention. The data were analyzed through a combination of strategies to identify the conditions that both facilitate and impede referral processes between probation offices and community-based SU treatment providers. RESULTS: Participants across sites discussed the positive impacts that the JJ-TRIALS intervention had on their improved ability to communicate, collaborate, and collect data. From the interviews, seven main conditions were observed to contribute to successful SU treatment referral practices: (1) communication (inter-organizational); (2) collaboration; (3) data-driven practices; (4) family engagement; (5) institutionalized policy and referral documentation; (6) efficient referral policies and procedures; and (7) suitable and accessible system of treatment providers. CONCLUSION: Findings highlight the value of a holistic understanding of successful treatment referrals for justice-involved youth and help inform research and practice efforts to identify and measure the many dimensions of referral-making at the interface of juvenile probation and behavioral health services.

An evaluation of StaySafe, a tablet app to improve health risk decision-making among people under community supervision.

BACKGROUND: A self-administered tablet app, StaySafe, helps people under community supervision to make better decisions regarding health risk behaviors, especially those linked to HIV, viral hepatitis, and other sexually transmitted infections. The multi-session StaySafe design uses an interactive, analytical schema called WORKIT that guides users through a series of steps, questions, and exercises aimed at promoting critical thinking about health risks associated with substance use and unprotected sex. Repetition of the WORKIT schema is designed to enhance procedural memory that can be rapidly accessed when individuals are faced with making decisions about risky behaviors. METHODS: A total of 511 participants under community supervision in community and residential treatment settings from three large Texas counties completed consent forms and baseline surveys, followed by randomization to one of two conditions: 12 weekly StaySafe sessions or standard practice (SP). The study also asked participants to complete a follow-up survey three months after baseline. Outcome measures included knowledge, confidence, and motivation (KCM) scales around HIV knowledge, avoiding risky sex, HIV services, and reducing health risks; decision-making; and reports of talking about issues such as making better decisions, avoiding HIV risks, and HIV prevention or treatment with others (probation officers, counselors, trusted friend or advisor, or family members). RESULTS: Participants in both community and residential settings voluntarily completed multiple StaySafe sessions, with those in the residential settings completing more sessions. When compared with SP participants, StaySafe participants showed greater improvement in the KCM measures-HIV knowledge, avoiding sex risks, HIV services, and risk reduction skills. In addition, greater improvements in the KCM measures as well as an increased likelihood to discuss issues with others were associated with completing more StaySafe sessions. CONCLUSION: These results suggest that the StaySafe app is a feasible and potentially effective tool for improving health risk reduction decision-making for individuals under community supervision.