Evidence map›Paper›PMID 31443890›Full record

ArticleJournal of substance abuse treatment2019

The relationship of Medicaid expansion to psychiatric comorbidity care within substance use disorder treatment programs.

Chelsea L Shover, Amanda Abraham, Thomas D'Aunno, Peter D Friedmann, Keith Humphreys

Open access · greenAbstract read
In one paragraph

Article in Journal of substance abuse treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 9 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 5 institutions in 1 country.

Chelsea L ShoverStanford University, Department of Psychiatry, 401 N. Quarry Rd., Stanford, CA 94305, United States of America. Electronic address: clshover@stanford.edu.
Amanda AbrahamUniversity of Georgia, School of Public and International Affairs, 280F Baldwin Hall, Athens, GA 30602, United States of America. Electronic address: aabraham@uga.edu.
Thomas D'AunnoNew York University, Wagner Graduate School of Public Service, 295 Lafayette St., New York, NY 10012, United States of America. Electronic address: tda3@nyu.edu.
Peter D FriedmannUniversity of Massachusetts Medical School - Baystate, Office of Research, 3601 Main St., Springfield, MA 01107, United States of America. Electronic address: peter.friedmann@baystatehealth.org.
Keith HumphreysStanford University, Department of Psychiatry, 401 N. Quarry Rd., Stanford, CA 94305, United States of America; Veterans Affairs Palo Alto Health Care System, 795 Willow Rd., Menlo Park, CA 94025, United States of America. Electronic address: knh@stanford.edu.
Baystate Medical Center · USStanford University · USUniversity of Georgia · USVA Palo Alto Health Care System · USWagner College · US

Funding

Interdisciplinary Research Training in Pain and Substance Use DisordersT32DA035165 · NIDA · STANFORD UNIVERSITY · PI SEAN C MACKEY · 2013 to 2026
$7.2M
NIDA NIH HHS T32 DA035165
6 · The paper itself

Abstract

backgroundCo-occurring mental health disorders are common among substance use disorder (SUD) patients. Medicaid expansion aimed to reduce barriers to SUD and mental health care and thereby improve treatment outcomes.

methodsWe estimated change in the proportion of United States SUD treatment sites offering treatment for psychiatric comorbidities following Medicaid expansion as part of implementation of the Affordable Care Act (ACA) in 2014. Using panel data from the 2013-2014, n = 660, and 2016-2017, n = 638, waves of the National Drug Abuse Treatment System Survey (NDATSS), we estimated change in the proportion of sites offering antidepressant medication, other psychiatric medication, behavioral treatment, or any combination thereof for treatment of mental health comorbidities (i.e., beyond services focused on SUD). We modeled the impact of Medicaid expansion as an interaction between year and date of Medicaid expansion. We constructed a mixed-effects linear regression model for each outcome, with the interaction variable as the main exposure, site as a random effect, and site's average duration of treatment, proportion of clients with psychiatric comorbidities, average caseload per treatment prescribing-clinician on staff, type of facility and geographic region as covariates, to estimate a difference-in-differences (D-I-D) equation.

resultsThe adjusted D-I-D analysis indicated that the proportion of SUD treatment sites offering antidepressants for psychiatric treatment increased 10% (95% CI 1%, 18%) in the Medicaid expansion sites compared to non-expansion sites. The D-I-D for other psychiatric medications was also 10% (95% 1%, 19%). No significant changes were observed in behavioral treatment or the combination measure. The strongest association between Medicaid expansion and offering medication for mental health comorbidities was the 34% increase observed for residential treatment settings (95% CI 10%, 59%).

conclusionAvailability of psychiatric medication treatment in SUD treatment settings increased following Medicaid expansion, particularly in residential SUD facilities. This policy change has facilitated integrated treatment for the substantial share of SUD treatment patients with mental health comorbidities, with the greatest benefit for patients receiving SUD treatment in residential programs.

Indexed as

ComorbidityHumansMedicaidMental DisordersPatient Acceptance of Health CarePatient Protection and Affordable Care ActResidential TreatmentSubstance-Related DisordersSurveys and QuestionnairesUnited States

Identifiers

PMID31443890
PMCPMC9018113
OpenAlexW2965454790

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.