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The Impact of Patient-Provider Race/Ethnicity Concordance on Provider Visits: Updated Evidence from the Medical Expenditure Panel Survey

Overview of attention for article published in Journal of Racial and Ethnic Health Disparities, June 2019
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
2 news outlets
blogs
2 blogs
policy
1 policy source
twitter
1 X user

Citations

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113 Dimensions

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mendeley
67 Mendeley
Title
The Impact of Patient-Provider Race/Ethnicity Concordance on Provider Visits: Updated Evidence from the Medical Expenditure Panel Survey
Published in
Journal of Racial and Ethnic Health Disparities, June 2019
DOI 10.1007/s40615-019-00602-y
Pubmed ID
Authors

Alyson Ma, Alison Sanchez, Mindy Ma

Abstract

To examine the association between race/ethnicity concordance and in-person provider visits following the implementation of the Affordable Care Act. Using 2014-2015 data from the Medical Expenditure Panel Survey, we examine whether having a provider of the same race or ethnicity ("race/ethnicity concordance") affects the probability that an individual will visit a provider. Multivariate probit models are estimated to adjust for demographic, socioeconomic, and health factors. Race/ethnicity concordance significantly increases the likelihood of seeking preventative care for Hispanic, African-American, and Asian patients relative to White patients (coef = 1.46, P < 0.001; coef = 0.71, P = 0.09; coef = 1.70, P < 0.001, respectively). Race/ethnicity concordance also increases the likelihood that Hispanic and Asian patients visit their provider for new health problems (coef = 2.14, P < 0.001 and coef = 1.49, P < 0.05, respectively). We find that race/ethnicity concordance is also associated with an increase in the likelihood that Hispanic and Asian patients continue to visit their provider for ongoing medical problems (Hispanic coef = 1.06, P < 0.001; Asian coef = 1.24, P < 0.05). There is an association between race/ethnicity concordance and the likelihood of patients visiting their provider. Our results demonstrate that racial disparities in health care utilization may be partially explained by race/ethnicity concordance.

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The data shown below were collected from the profile of 1 X user 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Other 7 10%
Student > Master 7 10%
Student > Doctoral Student 6 9%
Student > Ph. D. Student 6 9%
Researcher 5 7%
Other 12 18%
Unknown 24 36%
Readers by discipline Count As %
Medicine and Dentistry 12 18%
Social Sciences 7 10%
Nursing and Health Professions 5 7%
Engineering 3 4%
Psychology 2 3%
Other 7 10%
Unknown 31 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 February 2024.
All research outputs
#1,185,767
of 25,393,455 outputs
Outputs from Journal of Racial and Ethnic Health Disparities
#105
of 1,254 outputs
Outputs of similar age
#25,385
of 358,590 outputs
Outputs of similar age from Journal of Racial and Ethnic Health Disparities
#4
of 21 outputs
Altmetric has tracked 25,393,455 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,254 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.0. This one has done particularly well, scoring higher than 91% 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 358,590 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 92% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.