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The strangest of all encounters: racial and ethnic discrimination in US health care

Overview of attention for article published in Cadernos de Saúde Pública, May 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#40 of 1,854)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

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2 news outlets
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2 X users
wikipedia
1 Wikipedia page

Citations

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43 Dimensions

Readers on

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38 Mendeley
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Title
The strangest of all encounters: racial and ethnic discrimination in US health care
Published in
Cadernos de Saúde Pública, May 2017
DOI 10.1590/0102-311x00104416
Pubmed ID
Authors

Sherman A. James

Abstract

In 2003, a Committee of the Institute of Medicine of the National Academy of Sciences summarized hundreds of studies documenting that US racial minorities, especially African Americans, receive poorer quality health care for a wide variety of conditions than their White counterparts. These racial differences in health care persist after controlling for sociodemographic factors and patients' ability to pay for care. The Committee concluded that physicians' unconscious negative stereotypes of African Americans, and perhaps other people of color, likely contribute to these health care disparities. This paper selectively reviews studies published after 2003 on the likely contribution of physicians' unconscious bias to US health care disparities. All studies used the Implicit Association Test which quantifies the relative speed with which individuals associate positive attributes like "intelligent" with Whites compared to Blacks or Latino/as. In addition to assessing physicians' unconscious attitudes toward patients, some studies focused on the behavioral and affective dimensions of doctor-patient communication, such as physicians' "verbal dominance" and whether patients felt respected. Studies reviewed found a "pro-white" unconscious bias in physicians' attitudes toward and interactions with patients, though some evidence suggests that Black and female physicians may be less prone to such bias. Limited social contact between White physicians and racial/ethnic minorities outside of medical settings, plus severe time pressures physicians often face during encounters with patients who have complex health problems could heighten their susceptibility to unconscious bias.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 8 21%
Student > Bachelor 5 13%
Student > Master 4 11%
Unspecified 2 5%
Researcher 2 5%
Other 5 13%
Unknown 12 32%
Readers by discipline Count As %
Medicine and Dentistry 8 21%
Psychology 5 13%
Nursing and Health Professions 4 11%
Social Sciences 4 11%
Unspecified 2 5%
Other 3 8%
Unknown 12 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 22 August 2019.
All research outputs
#1,704,508
of 25,382,440 outputs
Outputs from Cadernos de Saúde Pública
#40
of 1,854 outputs
Outputs of similar age
#32,148
of 324,786 outputs
Outputs of similar age from Cadernos de Saúde Pública
#2
of 41 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,854 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 97% 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 324,786 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 90% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.