Evidence map›Paper›PMID 38943683›Full record

ArticleJAMA health forum2024

Coverage and Access Changes During Medicaid Unwinding.

Adrianna McIntyre, Benjamin D Sommers, Gabriella Aboulafia, Jessica Phelan, E John Orav, Arnold M Epstein, Jose F Figueroa

Abstract read
In one paragraph

Article in JAMA health forum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

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

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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

7 authors.

Adrianna McIntyreHarvard University T.H. Chan School of Public Health, Department of Health Policy and Management, Boston, Massachusetts.
Benjamin D SommersHarvard University T.H. Chan School of Public Health, Department of Health Policy and Management, Boston, Massachusetts.
Gabriella AboulafiaHarvard University T.H. Chan School of Public Health, Department of Health Policy and Management, Boston, Massachusetts.
Jessica PhelanHarvard University T.H. Chan School of Public Health, Department of Health Policy and Management, Boston, Massachusetts.
E John OravHarvard University T.H. Chan School of Public Health, Department of Health Policy and Management, Boston, Massachusetts.
Arnold M EpsteinHarvard University T.H. Chan School of Public Health, Department of Health Policy and Management, Boston, Massachusetts.
Jose F FigueroaHarvard University T.H. Chan School of Public Health, Department of Health Policy and Management, Boston, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: States resumed Medicaid eligibility redeterminations, which had been paused during the COVID-19 public health emergency, in 2023. This unwinding of the pandemic continuous coverage provision raised concerns about the extent to which beneficiaries would lose Medicaid coverage and how that would affect access to care. Objective: To assess early changes in insurance and access to care during Medicaid unwinding among individuals with low incomes in 4 Southern states. Design, Setting, and Participants: This multimodal survey was conducted in Arkansas, Kentucky, Louisiana, and Texas from September to November 2023, used random-digit dialing and probabilistic address-based sampling, and included US citizens aged 19 to 64 years reporting 2022 incomes at or less than 138% of the federal poverty level. Exposure: Medicaid enrollment at any point since March 2020, when continuous coverage began. Main Outcomes and Measures: Self-reported disenrollment from Medicaid, insurance at the time of interview, and self-reported access to care. Using multivariate logistic regression, factors associated with Medicaid loss were evaluated. Access and affordability of care among respondents who exited Medicaid vs those who remained enrolled were compared, after multivariate adjustment. Results: The sample contained 2210 adults (1282 women [58.0%]; 505 Black non-Hispanic individuals [22.9%], 393 Hispanic individuals [17.8%], and 1133 White non-Hispanic individuals [51.3%]) with 2022 household incomes less than 138% of the federal poverty line. On a survey-weighted basis, 1564 (70.8%) reported that they and/or a dependent child of theirs had Medicaid at some point since March 2020. Among adult respondents who had Medicaid, 179 (12.5%) were no longer enrolled in Medicaid at the time of the survey, with state estimates ranging from 7.0% (n = 19) in Kentucky to 16.2% (n = 82) in Arkansas. Fewer children who had Medicaid lost coverage (42 [5.4%]). Among adult respondents who left Medicaid since 2020 and reported coverage status at time of interview, 47.8% (n = 80) were uninsured, 27.0% (n = 45) had employer-sponsored insurance, and the remainder had other coverage as of fall 2023. Disenrollment was higher among younger adults, employed individuals, and rural residents but lower among non-Hispanic Black respondents (compared with non-Hispanic White respondents) and among those receiving Supplemental Nutrition Assistance Program benefits. Losing Medicaid was significantly associated with delaying care due to cost and worsening affordability of care. Conclusions and Relevance: The results of this survey study indicated that 6 months into unwinding, 1 in 8 Medicaid beneficiaries reported exiting the program, with wide state variation. Roughly half who lost Medicaid coverage became uninsured. Among those moving to new coverage, many experienced coverage gaps. Adults exiting Medicaid reported more challenges accessing care than respondents who remained enrolled.

Indexed as

COVID-19Health Services AccessibilityInsurance CoverageMedicaidAdultArkansasFemaleHumansMaleMiddle AgedPovertyUnited StatesYoung Adult

Identifiers

PMID38943683
PMCPMC11214671

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.