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Black Patients More Likely Than Whites To Undergo Surgery At Low-Quality Hospitals In Segregated Regions

Overview of attention for article published in Health Affairs, June 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
9 news outlets
blogs
4 blogs
policy
5 policy sources
twitter
15 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page
reddit
4 Redditors

Readers on

mendeley
193 Mendeley
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Article details
Title
Black Patients More Likely Than Whites To Undergo Surgery At Low-Quality Hospitals In Segregated Regions
Published in
Health Affairs, June 2013
DOI 10.1377/hlthaff.2011.1365
Pubmed ID
Authors
Abstract

Research has shown that black patients more frequently undergo surgery at low-quality hospitals than do white patients. We assessed the extent to which living in racially segregated areas and living in geographic proximity to low-quality hospitals contribute to this disparity. Using national Medicare data for all patients who underwent one of three high-risk surgical procedures in 2005-08, we found that black patients actually tended to live closer to higher-quality hospitals than white patients did but were 25-58 percent more likely than whites to receive surgery at low-quality hospitals. Racial segregation was also a factor, with black patients in the most segregrated areas 41-96 percent more likely than white patients to undergo surgery at low-quality hospitals. To address these disparities, care navigators and public reporting of comparative quality could steer patients and their referring physicians to higher-quality hospitals, while quality improvement efforts could focus on improving outcomes for high-risk surgery at hospitals that disproportionately serve black patients. Unfortunately, existing policies such as pay-for-performance, bundled payments, and nonpayment for adverse events may divert resources and exacerbate these disparities.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Unknown 192 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Doctoral Student 24 12%
Researcher 24 12%
Student > Master 20 10%
Student > Bachelor 18 9%
Student > Ph. D. Student 18 9%
Other 36 19%
Unknown 53 27%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 62 32%
Nursing and Health Professions 18 9%
Social Sciences 17 9%
Business, Management and Accounting 6 3%
Economics, Econometrics and Finance 5 3%
Other 19 10%
Unknown 66 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 112. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 September 2023.
All research outputs
#479,619
of 34,752,441 outputs
Outputs from Health Affairs
#980
of 7,181 outputs
Outputs of similar age
#2,860
of 243,637 outputs
Outputs of similar age from Health Affairs
#12
of 71 outputs
Altmetric has tracked 34,752,441 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,181 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 69.6. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 243,637 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.