Evidence map›Paper›PMID 38238590›Full record

ArticleJournal of public health policy2024

Evaluating the impact of the Medicaid expansion program on diabetes hospitalization.

Fan Zhao, Roch A Nianogo

Abstract read
In one paragraph

Article in Journal of public health policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Fan ZhaoDepartment of Epidemiology, University of California, Los Angeles (UCLA) Fielding School of Public Health, 650 Charles E. Young Drive South, Los Angeles, CA, 90095-1772, USA. zhaofan1996@g.ucla.edu.ORCID http://orcid.org/0000-0002-1261-5841
Roch A NianogoDepartment of Epidemiology, University of California, Los Angeles (UCLA) Fielding School of Public Health, 650 Charles E. Young Drive South, Los Angeles, CA, 90095-1772, USA.

Funding

Scientific and Technical CoreP2CHD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Martha Jane Bailey · 2016 to 2026
$6.9M
The SMART-CV Study: Systems Modeling Approaches to Reducing Disparities in Cardiovascular DiseasesK01MD014163 · NIMHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NIANOGO, ROCH · 2020 to 2024
$671k
NICHD NIH HHS P2C HD041022NIMHD NIH HHS K01 MD014163
6 · The paper itself

Abstract

Diabetes is the most expensive chronic disease in the United States, and hospital inpatient care accounts for 30% of the total medical expenditures. Medical costs for people with limited resources are covered by Medicaid, a joint federal and state program, and its expansion that extent the coverage to those with incomes up to 138% of the federal poverty level. We investigated the impact of Medicaid expansion on diabetes hospitalizations by states and payer, among adults aged 19 to 64 years old, 5 years after the expansion. We found that Medicaid expansion decreased total diabetes hospitalization in most states and a diabetes hospitalization payer mix shifted from private insurance and uninsured to Medicaid. The percentage of diabetes hospitalizations paid by Medicaid increased by 11% (95% CI 7%, 16%), while the percentage paid by private insurance decreased by 6% (95% CI - 8%, - 3%) and the percentage of uninsured diabetes hospitalization decreased by 13% (95% CI - 18%, - 9%).

Indexed as

Diabetes MellitusMedicaidAdultHospitalizationHumansMedically UninsuredMiddle AgedPatient Protection and Affordable Care ActUnited StatesYoung AdultDiabetes hospitalizationDifference in differenceGeneralized synthetic controlMedicaidQuasi-experiment

Identifiers

PMID38238590
PMCPMC12007991

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.