Evidence map›Paper›PMID 37694164›Full record

ArticleExploratory research in clinical and social pharmacy2023

Effects of star ratings bonus payments on disparities in medication utilization issues.

Chi Chun Steve Tsang, Joseph Garuccio, Xiaobei Dong, Yongbo Sim, Junling Wang

Open access · goldAbstract read
In one paragraph

Article in Exploratory research in clinical and social pharmacy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Chi Chun Steve TsangDepartment of Clinical Pharmacy and Translational Science, University of Tennessee Health Science Center College of Pharmacy, 881 Madison Avenue, Memphis, TN 38163, USA.
Joseph GaruccioDepartment of Clinical Pharmacy and Translational Science, University of Tennessee Health Science Center College of Pharmacy, 881 Madison Avenue, Memphis, TN 38163, USA.
Xiaobei DongDepartment of Clinical Pharmacy and Translational Science, University of Tennessee Health Science Center College of Pharmacy, 881 Madison Avenue, Memphis, TN 38163, USA.
Yongbo SimDepartment of Clinical Pharmacy and Translational Science, University of Tennessee Health Science Center College of Pharmacy, 881 Madison Avenue, Memphis, TN 38163, USA.
Junling WangDepartment of Clinical Pharmacy and Translational Science, University of Tennessee Health Science Center College of Pharmacy, 881 Madison Avenue, Memphis, TN 38163, 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

Background: Previous literature suggested that the consequences of inappropriate medication use may be borne disproportionately by racial/ethnic minorities. It is, therefore, essential to examine if quality improvement initiatives, such as Medicare Part D Star Ratings (Star Ratings), can improve these disparities. Objective: To assess the impact of Star Ratings bonus payments to Medicare Advantage prescription drug plans (MAPDs) implemented in 2012 on racial/ethnic disparities in medication utilization issues (MUIs). Methods: This study mainly used secondary data from Medicare administrative data linked to Area Health Resources Files for years before (2010-2011) and after MAPD bonus payment implementation (2016-2017). Patients in MAPDs were treated as the intervention group, and those in independent prescription drug plans (PDPs) were used as the comparison group because PDPs were ineligible for bonuses. MUIs targeted and not targeted in Star Ratings were both examined to determine spillover effects. A difference-in-differences approach was applied by including in a logistic regression a 3-way interaction term for dummy variables for racial/ethnic minorities, later period of 2016-2017, and MAPD plan. Results: Racial/ethnic minorities experienced more MUIs: e.g., the odds of MUIs targeted in Star Ratings among MAPD enrollees were 83% higher (odds ratio [OR] = 1.83; 95% confidence interval [CI] = 1.71-1.96) for Black than White patients. Black-White disparities in MUIs targeted in Star Ratings decreased 16% more (OR = 0.84; 95% = CI 0.78-0.91) over time among MAPD enrollees than those in PDPs. This pattern was not found for non-Star Ratings measures. Changes in Hispanic-White disparities were similar between MAPD and PDP enrollees for MUIs targeted and not-targeted by Star Ratings. Asian-White and Other-White disparities in MUIs did not experience a higher reduction among MAPD enrollees than PDP enrollees. Conclusions: Part D bonus payments are associated with lower Black-White disparities in MUIs targeted by Star Ratings. However, Part D bonus payments may not have reduced Hispanic-White or Asian-White disparities. Future research should explore the causes of the bonus payments' heterogeneous effects across racial/ethnic groups.

Indexed as

Ethnic and racial minoritiesHealth disparityMedicare Part CMedicare Part DMinority and vulnerable populationsQuality of health care

Identifiers

PMID37694164
PMCPMC10485150
OpenAlexW4386070910

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.