Evidence map›Paper›PMID 30882195›Full record

ArticleJournal of policy analysis and management : [the journal of the Association for Public Policy Analysis and Management]

The Effect of Public Insurance Expansions on Substance Use Disorder Treatment: Evidence from the Affordable Care Act.

Johanna Catherine Maclean, Brendan Saloner

Abstract read
In one paragraph

Article in Journal of policy analysis and management : [the journal of the Association for Public Policy Analysis and Management]. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

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2 more citing papers are in PubMed but not listed here.

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

2 authors.

Johanna Catherine MacleanDepartment of Economics at Temple University, Ritter Annex 869, 1301 Cecil B Moore Avenue, Philadelphia, PA 19122.
Brendan SalonerDepartments of Health Policy and Management and Mental Health at Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Room 344, Baltimore, MD 21205.

Funding

Improving Access and Quality of care for Medicaid-Eligible Adults with Opioid Use DisorderK01DA042139 · NIDA · JOHNS HOPKINS UNIVERSITY · PI SALONER, BRENDAN K · 2017 to 2021
$917k
NIDA NIH HHS K01 DA042139
6 · The paper itself

Abstract

We examine the effect of Medicaid expansion under the Affordable Care Act (ACA) on substance use disorder (SUD) treatment utilization and financing. We combine data on admissions to specialty facilities and Medicaid-reimbursed prescriptions for medications commonly used to treat SUDs in nonspecialty outpatient settings with an event-study design. Several findings emerge from our study. First, among patients receiving specialty care, Medicaid coverage and payments increased. Second, the share of patients who were uninsured and who had treatment paid for by state and local government payments declined. Third, private insurance coverage and payments increased. Fourth, expansion also increased prescriptions for SUD medications reimbursed by Medicaid. Fifth, we find suggestive evidence that admissions to specialty treatment may have increased one or more years post-expansion. However, this finding is sensitive to specification and we observe differential pretrends between the treatment and comparison groups. Thus, our finding for admissions should be interpreted with caution.

Indexed as

Patient Protection and Affordable Care ActEligibility DeterminationFacilities and Services UtilizationHumansInsurance CoverageMedicaidMedically UninsuredModels, EconomicPublic SectorState GovernmentSubstance-Related DisordersUnited States

Identifiers

PMID30882195
PMCPMC7071834

What OpenQuestion holds

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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.