Evidence map›Paper›PMID 39181506›Full record

ArticleJournal of substance use and addiction treatment2024

Cascade of care for substance use and mental health disorders for justice-involved populations.

Kendra J Clark, Jill Viglione, Rodlescia Sneed, Niloofar Ramezani, Faye S Taxman, Jennifer E Johnson

Abstract read
In one paragraph

Article in Journal of substance use and addiction treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kendra J ClarkCenter for Advancing Correctional Excellence, Schar School of Policy & Government, George Mason University, 4400 University Drive, 6D3, Fairfax, VA, USA. Electronic address: kclark45@gmu.edu.
Jill ViglioneDepartment of Criminal Justice, University of Central Florida, 12805 Pegasus Drive, Orlando, FL 32816, USA. Electronic address: Jill.Viglione@ucf.edu.
Rodlescia SneedInstitute of Gerontology & Department of Psychology, Wayne State University, Detroit, MI, USA. Electronic address: sneedrod@wayne.edu.
Niloofar RamezaniDepartment of Biostatistics, Virginia Commonwealth University, Box 980032, One Capital Square, 830 East Main St, Richmond, VA 23219, USA 2NORC at the University of Chicago, Public Health Department, 4350 East West Highway, 8th floor, Bethesda, MD 20814, USA. Electronic address: ramezanin2@vcu.edu.
Faye S TaxmanCenter for Advancing Correctional Excellence, Schar School of Policy & Government, George Mason University, 4400 University Drive, 6D3, Fairfax, VA, USA. Electronic address: ftaxman@gmu.edu.
Jennifer E JohnsonCharles Stewart Mott Department of Public Health, Michigan State University, 200 East 1(st) St Room 366, Flint, MI, USA. Electronic address: jjohns@msu.edu.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Technical Assistance CoreU2CDA050097 · NIDA · GEORGE MASON UNIVERSITY · PI Faye S Taxman · 2019 to 2026
$37.0M
HEAL Accelerator: Leveraging Partnerships and Targeted Dissemination to Advance UptakeOT2OD034479 · OD · GEORGE MASON UNIVERSITY · PI TAXMAN, FAYE S · 2022 to 2023
$5.6M
Evaluation of Stepping Up Efforts to Improve MH Services and Justice UtilizationR01MH118680 · NIMH · GEORGE MASON UNIVERSITY · PI JOHNSON, JENNIFER E, TAXMAN, FAYE S · 2019 to 2023
$3.2M
Maximizing the Scalability of the Chronic Disease Self-Management Program (CDSMP) Among Older Adults in State Correctional SettingsK01AG076740 · NIA · WAYNE STATE UNIVERSITY · PI Rodlescia Sneed · 2023 to 2026
$552k
NCATS NIH HHS UL1 TR001863NIA NIH HHS K01 AG076740NIDA NIH HHS U2C DA050097NIH HHS OT2 OD034479NIMH NIH HHS R01 MH118680
6 · The paper itself

Abstract

introductionJustice-involved populations have dramatically higher rates of substance use disorders (SUD) and mental health disorders (MHD) compared to the general population. Despite high rates of SUD and MHD, treatment for this population is often limited and not evidence-based. The cascade of care model estimates drop-offs in the continuum of care from screening to identification of need, referral, care initiation, care engagement, and care completion. Recently, healthcare providers have utilized the cascade of care to improve the continuity of care for people with SUD and MHD in justice settings. The purpose of the current study is to 1) identify typologies that explain the proportion of new intakes that pass through each level of the cascade of care for SUD and MHD, and 2) describe agency-level factors that predict typology assignments and agency ability to assess client flow through the levels of the care cascade.

methodUsing Latent Class Analysis, we classify 791 agencies serving justice-involved individuals into typologies according to utilization of each stage in the mental health and substance cascades of care. Then, we examined county and agency characteristics that affect three stages of the cascade process: identification of need for behavioral health services, referrals to appropriate services, and treatment initiation. We build on previous work by exploring these patterns for both SUD and MHD treatment.

resultsThe study identified four SUD/MHD treatment patterns: Low Access, SUD-Focused, High Need-High Access, and Lower Need-High Access classes. Factors influencing typology alignment include location, specialized staff availability, warm hand-off coordination, Medicaid reimbursement, and performance measure tracking. Thirty-nine percent (39 %) of agencies could not be classified because they were unable to report their rate of care along the cascade measures.

conclusionFocusing on factors influencing typology assignment can help counties in assessing service delivery, identifying barriers, and targeting areas for improvements in policies and practices, potentially facilitating long-term changes and overall improvement in the care of individuals with mental health and substance use disorders. Identification of these factors and typologies can improve mental health treatment and access in counties and agencies with large resource barriers or limited attention to mental health treatment.

Indexed as

Mental DisordersSubstance-Related DisordersContinuity of Patient CareHumansMental Health ServicesReferral and ConsultationUnited StatesCascade of careMental health disorderSubstance use disorder

Identifiers

PMID39181506
PMCPMC11527580

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.