Evidence map›Paper›PMID 40083128›Full record

ArticleHealth services research2025

Understanding the Effect of Race on Medicare Advantage Enrollment.

Adam Atherly, Roger Feldman, Eline van den Broek-Altenburg, Bryan E Dowd

Abstract read
In one paragraph

Article in Health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Identification of prevalent dementia in Medicare Advantage encounters, compared with rigorous cohort assessments.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
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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.

Adam AtherlyDepartment of Health Administration, College of Health Professions, Virginia Commonwealth University, Richmond, Virginia, USA.ORCID https://orcid.org/0000-0001-6443-0761
Roger FeldmanDivision of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.
Eline van den Broek-AltenburgDepartment of Radiology, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.
Bryan E DowdDivision of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0002-3384-5144

Funding

Implications of Switching Costs for Medicare Premium SupportR03AG046538 · NIA · UNIVERSITY OF COLORADO DENVER · PI ATHERLY, ADAM J · 2013 to 2014
$192k
AHRQ HHS 1R03AG046538-01NIA NIH HHS R03 AG046538
6 · The paper itself

Abstract

objectiveTo understand why Medicare Advantage (MA) has a relatively larger market share among racial minorities than traditional Medicare (TM). STUDY SETTING AND

designWe estimate Probit models for the choice of the MA sector versus TM by Black and Hispanic beneficiaries, as compared with White beneficiaries. We use a non-linear version of the Oaxaca-Blinder decomposition to decompose differences in the probability of MA enrollment by race into differences in explanatory variable values versus differences in the coefficients on those variables, which we identify as "preferences" for MA. DATA SOURCES AND ANALYTIC SAMPLE: We combined 2020 Medicare Current Beneficiary Survey (MCBS) data with CMS data on MA plan payment levels aggregated to the county level, star ratings, and measures of market competition. PRINCIPAL

findingsIn the Black/White beneficiary comparison, 83% of the 17% point difference in the probability of MA enrollment was explained by differences in preferences (p < 0.001) while only 17% was explained by differences in attributes (p < 0.05). In contrast, in the Hispanic/White beneficiary comparison, 72% of the difference was explained by differences in attributes (p < 0.001) and 28% was explained by differences in preferences (p < 0.01). Attributes associated with differing rates of MA enrollment by race included both market-level characteristics (e.g., payment levels) and personal characteristics (age, level of pain, and chronic disease count). Preferences associated with differing rates of MA enrollment included coefficients of sector characteristics such as payment rates and the number of four-star+ plans available and age.

conclusionsIn this study, we find that the higher MA enrollment rate for Black versus White beneficiaries is largely associated with differences in preferences, while the higher enrollment rate for Hispanic beneficiaries is more associated with differences in attributes. Differences in preferences for MA sector characteristics were significant in explaining higher MA enrollment rates for both groups compared with White beneficiaries, suggesting that changes in payment rates will disproportionately impact racial minorities, particularly for Black beneficiaries. However, the reasons for different preferences for MA among racial groups remain somewhat of a puzzle, particularly given that we control for demographics, health, and market characteristics.

Indexed as

Black or African AmericanHispanic or LatinoMedicare Part CWhiteAgedAged, 80 and overFemaleHumansMaleModels, StatisticalUnited Stateshealth plan choiceMedicareMedicare advantageracial differencesregression decomposition

Identifiers

PMID40083128
PMCPMC12047694

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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.