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Racial Discrimination in Health Care and Utilization of Health Care: a Cross-sectional Study of California Adults

Overview of attention for article published in Journal of General Internal Medicine, August 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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Citations

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65 Mendeley
Title
Racial Discrimination in Health Care and Utilization of Health Care: a Cross-sectional Study of California Adults
Published in
Journal of General Internal Medicine, August 2018
DOI 10.1007/s11606-018-4614-4
Pubmed ID
Authors

Héctor E. Alcalá, Daniel M. Cook

Abstract

Racial and ethnic discrimination in health care have been associated with suboptimal use of health care. However, limited research has examined how facets of health care utilization influence, and are influenced by, discrimination. This study aimed to determine if type of insurance coverage and location of usual source of care used were associated with perceptions of racial or ethnic discrimination in health care. Additionally, this study examined if perceived racial or ethnic discrimination influenced delaying or forgoing prescriptions or medical care. Data from the 2015-2016 California Health Interview Survey were used. Logistic regression models estimated odds of perceiving racial or ethnic discrimination from insurance type and location of usual source of care. Logistic regression models estimated odds of delaying or forgoing medical care or prescriptions. Responses for 39,171 adults aged 18 and over were used. Key health care utilization variables were as follows: current insurance coverage, location of usual source of care, delaying or forgoing medical care, and delaying or forgoing prescriptions. We examined if these effects differed by race. Ever experiencing racial or ethnic discrimination in the health care setting functioned as a dependent and independent variable in analyses. When insurance type and location of care were included in the same model, only the former was associated with perceived discrimination. Specifically, those with Medicaid had 66% higher odds of perceiving discrimination, relative to those with employer-sponsored coverage (AOR = 1.66; 95% CI 1.11, 2.47). Race did not moderate the impact of discrimination. Perceived discrimination was associated with higher odds of delaying or forgoing both prescriptions (AOR = 1.97; 95% CI 1.26, 3.09) and medical care (AOR = 1.84; 95% CI 1.31, 2.59). Health care providers have an opportunity to improve the experiences of their patients, particularly those with publicly sponsored coverage.

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The data shown below were collected from the profiles of 9 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 18%
Student > Master 8 12%
Researcher 5 8%
Student > Bachelor 3 5%
Student > Doctoral Student 3 5%
Other 8 12%
Unknown 26 40%
Readers by discipline Count As %
Nursing and Health Professions 11 17%
Social Sciences 8 12%
Medicine and Dentistry 5 8%
Psychology 3 5%
Environmental Science 2 3%
Other 5 8%
Unknown 31 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 11 October 2018.
All research outputs
#5,112,925
of 24,954,788 outputs
Outputs from Journal of General Internal Medicine
#3,120
of 8,070 outputs
Outputs of similar age
#91,222
of 336,547 outputs
Outputs of similar age from Journal of General Internal Medicine
#57
of 133 outputs
Altmetric has tracked 24,954,788 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,070 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.1. This one has gotten more attention than average, scoring higher than 61% 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 336,547 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.