Evidence map›Paper›PMID 27106113›Full record

ArticleDrug and alcohol dependence2016

Classifying substance use disorder treatment facilities with co-located mental health services: A latent class analysis approach.

Pia M Mauro, C Debra Furr-Holden, Eric C Strain, Rosa M Crum, Ramin Mojtabai

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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

13 citing papers in PubMed, 21 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Pia M MauroDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD 21205, USA; Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th Street, New York, NY 10032, USA. Electronic address: pm2838@cumc.columbia.edu.
C Debra Furr-HoldenDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD 21205, USA. Electronic address: cfurrho1@jhu.edu.
Eric C StrainDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, 733 N. Broadway, Baltimore, MD 21205, USA. Electronic address: estrain1@jhmi.edu.
Rosa M CrumDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD 21205, USA. Electronic address: rcrum1@jhu.edu.
Ramin MojtabaiDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD 21205, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, 733 N. Broadway, Baltimore, MD 21205, USA. Electronic address: rmojtab1@jhu.edu.
Johns Hopkins University · US

Funding

NIDA Epidemiology Training Program: Johns Hopkins UniversityT32DA007292 · NIDA · JOHNS HOPKINS UNIVERSITY · PI RENEE M. JOHNSON, Brion S Maher · 1993 to 2026
$17.7M
Substance Abuse Epidemiology Training Program (SAETP) at Columbia UniversityT32DA031099 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEBORAH S HASIN, Silvia Saboia Martins · 2012 to 2026
$6.1M
Mentoring of Clinical Investigators in Patient Oriented ResearchK24DA023186 · NIDA · JOHNS HOPKINS UNIVERSITY · PI STRAIN, ERIC C. · 2007 to 2016
$1.8M
NIDA NIH HHS K24 DA023186NIDA NIH HHS T32 DA007292NIDA NIH HHS T32 DA031099
6 · The paper itself

Abstract

backgroundThe Affordable Care Act calls for increased integration and coordination of behavioral health services, as people with co-occurring disorders (CODs), meeting criteria for both substance use and psychiatric disorders, are overrepresented in treatment samples. Nationwide estimates of mental health (MH) service co-location in substance use disorder (SUD) treatment facilities are needed. We empirically derived a multiple-indicator categorization of services for CODs in SUD treatment facilities.

methodsWe used latent class analysis to categorize 14,037 SUD treatment facilities in the United States and territories included in the 2012 National Survey of Substance Abuse Treatment Services. Latent class indicators included MH screening and diagnosis, MH support services, psychiatric medications, groups for CODs, and psychosocial approaches. Multinomial logistic regression compared facility-identified primary focus (i.e., SUD, MH, mix of SUD-MH, and general/other) and other facility characteristics across classes.

resultsA four-class solution was chosen with the following classes: Comprehensive MH/COD Services (25%), MH without COD Services (25%), MH Screening Services (21%), and Limited MH Services (29%). The former two classes with co-located MH services were less likely to report a SUD-primary focus than the latter classes reporting only MH screening or Limited MH Services. Only the Comprehensive MH/COD Services class also had a high probability of providing special groups for CODs.

conclusionsApproximately half of SUD treatment facilities were in classes with co-located mental health services, but only a quarter provided comprehensive COD services. Future studies should assess differences in patient experiences and treatment outcomes across facilities with and without COD services.

Indexed as

ComorbidityComprehensive Health CareHumansMental DisordersMental Health ServicesOwnershipPatient Protection and Affordable Care ActPatientsPsychotropic DrugsSubstance Abuse Treatment CentersSubstance-Related DisordersSurveys and QuestionnairesUnited StatesPsychotropic DrugsCo-occurring disordersMental healthSubstance use disorderTreatment

Identifiers

PMID27106113
PMCPMC4880516
OpenAlexW2320173204

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.