Evidence map›Paper›PMID 32700388›Full record

ArticleHealth services research2020

Public insurance expansions and mental health care availability.

Elson Oshman Blunt, Johanna Catherine Maclean, Ioana Popovici, Steven C Marcus

Abstract read
In one paragraph

Article in Health services research, 2020. 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
–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

13 citing papers in PubMed.

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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

4 authors.

Elson Oshman BluntWesttown School, West Chester, PA.
Johanna Catherine MacleanDepartment of Economics, Temple University, Philadelphia, PA.ORCID 0000-0002-8581-0672
Ioana PopoviciDepartment of Sociobehavioral and Administrative Pharmacy, Nova Southeastern University, Fort Lauderdale, FL.
Steven C MarcusSchool of Social Policy & Practice, University of Pennsylvania, Philadelphia, PA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo provide new evidence on the effects of large-scale public health insurance expansions, associated with the Affordable Care Act (ACA), on the availability of specialty mental health care treatment in the United States. We measure availability with the probability that a provider accepts Medicaid. DATA SOURCE/STUDY

settingThe National Mental Health Services Survey (N-MHSS) 2010-2018. STUDY

designA quasi-experimental differences-in-differences design using observational data. DATA COLLECTION: The N-MHSS provides administrative data on the universe of specialty mental health care providers in the United States. Response rates are above 90 percent in all years. Data cover 85 019 provider/year observations. PRINCIPAL

findingsACA-Medicaid expansion increases the probability that a provider accepts Medicaid by 1.69 percentage points, 95 percent confidence interval: [0.0017,0.0321], which corresponds to an increase from 87.27 percent pre-expansion to 90.27 percent postexpansion in expansion states or a 1.94 percent increase. We observe spillovers to Medicare, although this finding is sensitive to specification.

conclusionsThis study provides evidence on the impact of ACA-Medicaid expansion on accepted forms of payment for specialty mental health care treatment. Findings suggest that expansion increases availability of providers who deliver valuable care for enrollees with severe mental illness. These findings may help policy makers reflecting on the future directions of the US health care delivery system.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleHealth PolicyHealth Services AccessibilityHumansInfantInfant, NewbornInsurance CoverageMaleMedicaidMedicareavailabilityhealth caremental illnesspublic insurance

Identifiers

PMID32700388
PMCPMC7375998

What OpenQuestion holds

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Registered trials

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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.