A new behavioral health services cascade framework for measuring unmet addiction health services needs and adolescent offenders: conceptual and measurement challenges
Open accessAbstract
Juvenile Justice-Translational Research on Interventions for Adolescents in the Legal System (JJ-TRIALS) is a cooperative implementation science initiative launched by NIDA in July 2013. The project seeks to reduce unmet substance use disorder needs for delinquent youth under community supervision by assisting juvenile justice (JJ) agencies in their efforts to implement best practices and improve service utilization along a behavioral health services cascade (screening, assessment, referral, initiation into treatment, and retention in treatment). Although many youth under JJ supervision have substance use and associated mental health disorders, there are numerous gaps in the identification of these problems and referral to appropriate services. Linkages between the JJ and behavioral health systems can be problematic because of the lack of shared mission, limited training of JJ staff on behavioral health issues, and limited sharing of information across service systems. Ideally, JJ staff will screen and assess youth for substance use and related disorders, and refer them to appropriate evidence-based treatment when needed; the youth should initiate treatment and be retained for a clinically effective period. The ultimate goal is to maximize the proportion of substance-involved youth identified and retained in treatment. Based on the HIV services cascade, we developed a conceptual framework, the Behavioral Health Services Cascade. This framework provides a useful heuristic for visualizing and measuring movement through the continuum of services. It illustrates the level of unmet needs at different points and provides a measurement framework for tracking improvements in reducing unmet needs. The model helps agency staff and leadership and policymakers understand the sequential and related stages of the services continuum and identify stages/linkage points that may need improvements. In the main JJ-TRIALS protocol, we are using the cascade framework to: 1) monitor and evaluate the primary outcome of reducing unmet service needs; 2) use local data to populate the cascade and provide feedback to agencies for need assessments and site feedback reports; and 3) help site staff select and monitor strategic goals to reduce gaps in one or more component of the cascade. We will also be developing measures related to the quality of the services delivered at each point in the cascade. Some challenges being addressed include: 1) defining and collecting consistent measures across multiple states and counties; 2) inconsistency in data availability across sites, especially on treatment engagement and continuing care; and 3) accounting for multiple and sometimes nonlinear processes at different points in the cascade.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The text we found for this paper looks like another document, so the self-check wasn’t run.
Cites
Still being checked.
Cited by
Sorted by citations
An Overview of Research and Evaluation Designs for Dissemination and Implementation
Brown, C. H., Curran, G., Palinkas, L. A., Aarons, G. A., Wells, K. B., Jones, L., Collins, L. M., Duan, N., Mittman, B. S., Wallace, A., et al. (2017) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-031816-044215 · Cited by 509 · see citing works
Self-citationConsiderations for the Development of a Substance-Related Care and Prevention Continuum Model
Perlman, D. C., & Jordan, A. E. (2017) · Frontiers in Public Health · doi:10.3389/fpubh.2017.00180 · Cited by 10 · see citing works
Sichel, C. E., Galbraith, K., & Elkington, K. S. (2025) · Health & Justice · doi:10.1186/s40352-025-00342-8 · Cited by 3 · see citing works
Sichel, C. E., & Elkington, K. S. (2023) · Journal of Communications In Healthcare · doi:10.1080/17538068.2023.2253620 · Cited by 3 · see citing works
- Authors
- Belenko, S., Wiley, T., Knight, D., Dennis, M., Wasserman, G., & Taxman, F.
- Affiliations
- Temple University (US)
- National Institute on Drug Abuse (US)
- Texas Christian University (US)
- Chestnut Health Systems (US)
- Columbia University (US)
- George Mason University (US)
- Corresponding author
- Belenko, Steven
- Venue
- Addiction Science & Clinical Practice
- Published
- 2015-02-20
- Volume
- 10
- Issue
- S1
- ISSN
- 1940-0632 (ISSN-L)
- 1940-0640
- PMC
- PMC4347525
- OpenAlex
- W1577628101
- Cited by
- 4
- References
- 0
- Citations by year
- 2025: 1 · 2023: 1 · 2017: 2
- FWCI
- 0.52
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Addiction Science & Clinical Practice (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- Funders
- National Institute on Drug Abuse
- Topics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Social Sciences › Sociology and Political Science › Crime Patterns and Interventions
- Social Sciences › Safety Research › Child Welfare and Adoption
- Keywords
- juvenile offenders, juvenile justice, substance use disorders, mental illness, service linkage, treatment retention, treatment engagement, screening and referral, measurement challenges, community supervision
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review