Evidence map›Paper›PMID 37219396›Full record

ArticleCurrent medical research and opinion2023

Solving racial/ethnic disparities associated with Medicare Part D Star Ratings.

Xiaobei Dong, Chi Chun Steve Tsang, Jamie A Browning, Yongbo Sim, Jim Y Wan, Marie A Chisholm-Burns, Samuel Dagogo-Jack, William C Cushman, Junling Wang

Open access · greenAbstract read
In one paragraph

Article in Current medical research and opinion, 2023. 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
0.6field-weighted citation impact, top 17% of its field
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, 1 citations in OpenAlex.

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

9 authors at 1 institution in 1 country.

Xiaobei DongDepartment of Clinical Pharmacy and Translational Science, College of Pharmacy, University of Tennessee Health Science Center, Memphis, TN, USA.
Chi Chun Steve TsangDepartment of Clinical Pharmacy and Translational Science, College of Pharmacy, University of Tennessee Health Science Center, Memphis, TN, USA.
Jamie A BrowningDepartment of Clinical Pharmacy and Translational Science, College of Pharmacy, University of Tennessee Health Science Center, Memphis, TN, USA.
Yongbo SimDepartment of Clinical Pharmacy and Translational Science, College of Pharmacy, University of Tennessee Health Science Center, Memphis, TN, USA.
Jim Y WanDepartment of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA.
Marie A Chisholm-BurnsDepartment of Clinical Pharmacy and Translational Science, College of Pharmacy, University of Tennessee Health Science Center, Memphis, TN, USA.
Samuel Dagogo-JackDepartment of Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA.
William C CushmanDepartment of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA.
Junling WangDepartment of Clinical Pharmacy and Translational Science, College of Pharmacy, University of Tennessee Health Science Center, Memphis, TN, USA.
University of Tennessee Health Science Center · US

Funding

Resolving Racial/Ethnic Disparities Associated with Star Ratings among the ADRD PopulationR01AG049696 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI WANG, JUNLING NONE · 2015 to 2022
$2.9M
NIA NIH HHS R01 AG049696
6 · The paper itself

Abstract

objectiveMedicare Part D Star Ratings are instrumental in shaping healthcare quality improvement efforts. However, the calculation metrics for medication performance measures for this program have been associated with racial/ethnic disparities. In this study, we aimed to explore whether an alternative program, named Star Plus by us that included all medication performance measures developed by Pharmacy Quality Alliance and applicable to our study population, would reduce such disparities among Medicare beneficiaries with diabetes, hypertension, and/or hyperlipidemia.

methodWe conducted an analysis of a 10% random sample of Medicare A/B/D claims linked to the Area Health Resources File. Multivariate logistic regressions with minority dummy variables were used to examine racial/ethnic disparities in measure calculations of Star Ratings and Star Plus, respectively.

resultsAdjusted results indicated that relative to non-Hispanic Whites (Whites), racial/ethnic minorities had significantly lower odds of being included in the Star Ratings measure calculations: the odds ratios (ORs) for Blacks, Hispanics, Asians, and Others were 0.68 (95% confidence interval [CI] = 0.66-0.71), 0.73 (CI = 0.69-0.78), 0.88 (CI = 0.82-0.93), and 0.92 (CI = 0.88-0.97), respectively. In contrast, every beneficiary in the sample was included in Star Plus. Further, racial/ethnic minorities had significantly higher increase in the odds of being included in measure calculation in Star Plus than Star Ratings. The ORs for Blacks, Hispanics, Asians, and Others were 1.47 (CI = 1.41-1.52), 1.37 (CI = 1.29-1.45), 1.14 (CI = 1.07-1.22), and 1.09 (CI = 1.03-1.14), respectively.

conclusionsOur study demonstrated that racial/ethnic disparities may be eliminated by including additional medication performance measures to Star Ratings.

Indexed as

Medicare Part DAgedEligibility DeterminationEthnicityHealthcare DisparitiesHumansMedication Therapy ManagementUnited StatesDisparitiesMedicaremedication utilizationperformance measuresratings

Identifiers

PMID37219396
PMCPMC10423313
OpenAlexW4377565912

What OpenQuestion holds

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Registered trials

None linked

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.