Literature DB >> 35751945

Using structured implementation interventions to improve referral to substance use treatment among justice-involved youth: Findings from a multisite cluster randomized trial.

Steven Belenko1, Richard Dembo2, Danica K Knight3, Katherine S Elkington4, Gail A Wasserman4, Angela A Robertson5, Wayne N Welsh6, James Schmeidler7, George W Joe3, Tisha Wiley8.   

Abstract

INTRODUCTION: Youth involved in the justice system have high rates of alcohol and other drug use, but limited treatment engagement. JJ-TRIALS tested implementation activities with community supervision (CS) and behavioral health (BH) agencies to improve screening, identification of substance use service need, referral, and treatment initiation and engagement, guided by the BH Services Cascade and EPIS frameworks. This paper summarizes intervention impacts on referrals to treatment among youth on CS.
METHODS: This multisite cluster-randomized trial involved 18 matched pairs of sites in 36 counties in seven states randomly assigned to core or enhanced conditions after implementing the core intervention at all sites for six months. Enhanced sites received external facilitation for local change team activities to reduce unmet treatment needs; Core sites were encouraged to form interagency workgroups. The dependent variable was percentage referred to treatment among youth in need (N = 14,012). Two-level Bayesian regression assessed factors predicting referral across all sites and time periods. Generalized linear mixed models using logit transformation tested two hypotheses: (H1) referrals will increase from baseline to the experimental period, (H2) referral increases will be larger in enhanced sites than in core sites.
RESULTS: Although the intervention significantly increased referral, condition did not significantly predict referral across all time periods. Youth who tested drug positive, had an alcohol/other drug-related or felony charge, were placed in secure detention or assigned more intensive supervision, or who were White were more likely to be referred. H1 (p < .05) and H2 (p < .0001) were both significant in the hypothesized direction. Interaction analyses comparing site pair differences showed that findings were not consistent across sites.
CONCLUSIONS: The percentage of youth referred to treatment increased compared with baseline overall, and enhanced sites showed larger increases in referrals over time. However, variations in effects suggest that site-level differences were important. Researchers should carry out mixed methods studies to further understand reasons for the inconsistent findings within randomized site pairs, and how to further improve treatment referrals across CS and BH systems. Findings also highlight that even when CS agencies work collaboratively with BH providers to improve referrals, most justice-involved youth who need SU services are not referred.
Copyright © 2022 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Implementation science; Juvenile justice; Services cascade; Treatment referral

Mesh:

Year:  2022        PMID: 35751945      PMCID: PMC9357202          DOI: 10.1016/j.jsat.2022.108829

Source DB:  PubMed          Journal:  J Subst Abuse Treat        ISSN: 0740-5472


  60 in total

1.  Juvenile probation officers' mental health decision making.

Authors:  Gail A Wasserman; Larkin S McReynolds; Andria L Whited; Joseph M Keating; Hana Musabegovic; Yanling Huo
Journal:  Adm Policy Ment Health       Date:  2008-07-19

2.  A multi-level analysis of the impact of neighborhood structural and social factors on adolescent substance use.

Authors:  Abigail A Fagan; Emily M Wright; Gillian M Pinchevsky
Journal:  Drug Alcohol Depend       Date:  2015-05-27       Impact factor: 4.492

3.  Efficacy of a process improvement intervention on delivery of HIV services to offenders: a multisite trial.

Authors:  Frank S Pearson; Michael S Shafer; Richard Dembo; Graciela Del Mar Vega-Debién; Jennifer Pankow; Jamieson L Duvall; Steven Belenko; Linda K Frisman; Christy A Visher; Michele Pich; Yvonne Patterson
Journal:  Am J Public Health       Date:  2014-10-16       Impact factor: 9.308

4.  Bridging Systems to Implement HIV/STI Programming Within the Juvenile Justice System: Strengths and Challenges of a Local Change Team Approach.

Authors:  Sofia Huang; Sheena Gardner; Kaitlin N Piper; Ashley S Coleman; Jennifer E Becan; Angela A Robertson; Katherine S Elkington
Journal:  AIDS Educ Prev       Date:  2020-10

Review 5.  The Sustainability of Evidence-Based Interventions and Practices in Public Health and Health Care.

Authors:  Rachel C Shelton; Brittany Rhoades Cooper; Shannon Wiltsey Stirman
Journal:  Annu Rev Public Health       Date:  2018-01-12       Impact factor: 21.981

6.  Outcomes of a partnered facilitation strategy to implement primary care-mental health.

Authors:  JoAnn E Kirchner; Mona J Ritchie; Jeffery A Pitcock; Louise E Parker; Geoffrey M Curran; John C Fortney
Journal:  J Gen Intern Med       Date:  2014-12       Impact factor: 5.128

Review 7.  Treating substance use disorders in the criminal justice system.

Authors:  Steven Belenko; Matthew Hiller; Leah Hamilton
Journal:  Curr Psychiatry Rep       Date:  2013-11       Impact factor: 5.285

8.  Critical Factors Influencing Interorganizational Relationships Between Juvenile Probation and Behavioral Health Agencies.

Authors:  Wayne N Welsh; Richard Dembo; Wayne E K Lehman; John P Bartkowski; Leah Hamilton; Carl G Leukefeld; Tisha Wiley
Journal:  Adm Policy Ment Health       Date:  2021-03

9.  A cluster randomized trial of utilizing a local change team approach to improve the delivery of HIV services in correctional settings: study protocol.

Authors:  Steven Belenko; Christy Visher; Michael Copenhaver; Matthew Hiller; Gerald Melnick; Daniel O'Connell; Frank Pearson; Bennett Fletcher
Journal:  Health Justice       Date:  2013-12

10.  Evidence-based intervention sustainability strategies: a systematic review.

Authors:  Maji Hailemariam; Tatiana Bustos; Barrett Montgomery; Rolando Barajas; Luther B Evans; Amy Drahota
Journal:  Implement Sci       Date:  2019-06-06       Impact factor: 7.327

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