2011
DOI: 10.1001/jama.2011.123
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Thirty-Day Readmission Rates for Medicare Beneficiaries by Race and Site of Care

Abstract: Context Understanding whether and why there are racial disparities in readmissions has implications for efforts to reduce readmissions. Objective To determine whether black patients have higher odds of readmission than white patients, and if these disparities are related to where black patients receive care. Design Using national Medicare data, we examined 30-day readmissions after hospitalization for acute myocardial infarction (AMI), congestive heart failure (CHF), and pneumonia. We categorized hospitals… Show more

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Cited by 646 publications
(497 citation statements)
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References 43 publications
(35 reference statements)
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“…43 Yet, race was not predictive in the smaller HRS-CMS dataset, and there are concerns about the accuracy of the race variable in HCUP data, particularly as it is not required or audited in standard hospital claims data. 44,45 Our study has several limitations.…”
Section: Discussionmentioning
confidence: 98%
“…43 Yet, race was not predictive in the smaller HRS-CMS dataset, and there are concerns about the accuracy of the race variable in HCUP data, particularly as it is not required or audited in standard hospital claims data. 44,45 Our study has several limitations.…”
Section: Discussionmentioning
confidence: 98%
“…2 They are more likely to be non-English speakers, 3 have lower health literacy, which can impair selfmanagement; [4][5][6] higher rates of mental health and substance abuse disorders; 7 greater exposure to social stressors; 6 and are more likely to experience hospital readmission. [8][9][10] Several care transitions programs [11][12][13][14][15][16] have demonstrated success in decreasing hospital readmissions. These programs have primarily targeted elderly Medicare populations or patients with high risk diagnoses, such as heart failure.…”
Section: Introductionmentioning
confidence: 99%
“…Accordingly, the number of admissions in each specific centre is relevant for understanding the results. In addition, each hospital's admission selection process, resources, organisation, or standards of care, as well as the contextual/geographical characteristics of the hospital catchment area, such as socioeconomic status 21, 22, utilisation of health services 23 or COPD hospitalisation criteria 24, 25, may also affect this hospital‐clustering effect. Ultimately, after accounting for the contextual factors, the between‐hospital variation in outcomes appears to be remarkably reduced, although significant.…”
Section: Discussionmentioning
confidence: 99%