2021
DOI: 10.1001/jamahealthforum.2021.0793
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Association of Medicare Advantage Star Ratings With Racial, Ethnic, and Socioeconomic Disparities in Quality of Care

Abstract: IMPORTANCE Medicare Advantage (MA) plans, which disproportionately enroll racial/ethnic minorities and persons with socioeconomic disadvantage, receive bonus payments on the basis of overall performance on a 5-star rating scale. The association between plans' overall quality and disparities in quality is not well understood. OBJECTIVE To examine the association between MA star ratings and disparities in care for racial/ ethnic minorities and enrollees with lower income and educational attainment. DESIGN, SETTI… Show more

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Cited by 16 publications
(9 citation statements)
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“…Similarly, compared with non-Hispanic White people, Hispanic or Latino individuals have higher prevalence rates of ESRD . There are well-documented racial and ethnic inequities in health outcomes among MA enrollees . For example, compared with TM, MA is associated with better outcomes and ambulatory care access for beneficiaries from racial and ethnic minority groups; however, these racial and ethnic minority beneficiaries reported worse outcomes for most measures compared with their White counterparts, irrespective of whether they were in MA or TM .…”
Section: Discussionmentioning
confidence: 99%
“…Similarly, compared with non-Hispanic White people, Hispanic or Latino individuals have higher prevalence rates of ESRD . There are well-documented racial and ethnic inequities in health outcomes among MA enrollees . For example, compared with TM, MA is associated with better outcomes and ambulatory care access for beneficiaries from racial and ethnic minority groups; however, these racial and ethnic minority beneficiaries reported worse outcomes for most measures compared with their White counterparts, irrespective of whether they were in MA or TM .…”
Section: Discussionmentioning
confidence: 99%
“…We selected these variables as they have been shown to contribute to differences in patient experience on CAHPS. 10,[30][31][32] After fitting unadjusted logistic regression models for age differences on each outcome (model 1), models were adjusted by adding covariates successively, including sex (model 2), SES, education, and rurality (model 3), and self-rated physical and mental health and GCI (model 4). In all models, we expressed the effects of age as differences in the experience of outcome probabilities between the age 65+ group and each of the younger age groups.…”
Section: Discussionmentioning
confidence: 99%
“…We then tested three weighted adjusted models, each of which added successively more covariates, including sex, SES, education, rurality, self‐rated mental and physical health, and GCI. We selected these variables as they have been shown to contribute to differences in patient experience on CAHPS 10,30–32 . After fitting unadjusted logistic regression models for age differences on each outcome (model 1), models were adjusted by adding covariates successively, including sex (model 2), SES, education, and rurality (model 3), and self‐rated physical and mental health and GCI (model 4).…”
Section: Methodsmentioning
confidence: 99%
“…They are particularly concerned about the potential biases of the VBP programs and their implications for health care equity and disparity (46)(47)(48)(49)(50). Specifically, these programs are suspected to have penalized hospitals and medical practices that serve patients of predominantly lower socioeconomic status (SES) who tend to live in areas with higher concentrations of poverty and minority population groups (12,(51)(52)(53)(54)(55). Some of the biases arose from the budgetary constraints and incentives design inherent in the existing VBP programs, while others were the results of their implementation as providers made selfinterested decisions that might not be in the best interest of their patients.…”
Section: Link Between Vbp and Inequality From A Conceptual Perspectivementioning
confidence: 99%