Evidence map›Paper›PMID 28517042›Full record

ArticleHealth services research2018

The Impact of the ACA Medicaid Expansions on Health Insurance Coverage through 2015 and Coverage Disparities by Age, Race/Ethnicity, and Gender.

George L Wehby, Wei Lyu

Abstract read
In one paragraph

Article in Health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 1 pooled it
–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

71 citing papers in PubMed, 1 synthesis or guideline pooled it.

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11 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.

George L WehbyDepartment of Health Management and Policy, University of Iowa, Iowa City, IA.
Wei LyuDepartment of Health Management and Policy, University of Iowa, Iowa City, IA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveExamine the ACA Medicaid expansion effects on Medicaid take-up and private coverage through 2015 and coverage disparities by age, race/ethnicity, and gender. DATA SOURCES: 2011-2015 American Community Survey for 3,137,989 low-educated adults aged 19-64 years. STUDY

designDifference-in-differences regressions accounting for national coverage trends and state fixed effects. PRINCIPAL

findingsExpansion effects doubled in 2015 among low-educated adults, with a nearly 8 percentage-point increase in Medicaid take-up and 6 percentage-point decline in uninsured rate. Significant coverage gains were observed across virtually all examined groups by age, gender, and race/ethnicity. Take-up and insurance declines were strongest among younger adults and were generally close by gender and race/ethnicity. Despite the increased take-up however, coverage disparities remained sizeable, especially for young adults and Hispanics who had declining but still high uninsured rates in 2015. There was some evidence of private coverage crowd-out in certain subgroups, particularly among young adults aged 19-26 years and women, including in both individually purchased and employer-sponsored coverage.

conclusionsThe ACA Medicaid expansions have continued to increase coverage in 2015 across the entire population of low-educated adults and have reduced age disparities in coverage. However, there is still a need for interventions that target eligible young and Hispanic adults.

Indexed as

AdultAge FactorsEthnicityFemaleHumansInsurance CoverageInsurance, HealthLongitudinal StudiesMaleMedicaidMedically UninsuredMiddle AgedPatient Protection and Affordable Care ActRacial GroupsSex FactorsUnited StatesdisparitiesinsuranceMedicaid

Identifiers

PMID28517042
PMCPMC5867173

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.