Race/Ethnicity and Health Care Communication: Does Patient-Provider Concordance Matter?
Abstract
Background: Although many minority patients would prefer a provider of their own race/ethnicity, the influence of this relationship on patient-provider communication remains unknown. This analysis examined the effect of patient-provider race/ethnicity concordance on patient-reported provider communication quality using data from the Medical Expenditure Panel Survey years 2002–2012. Methods: Ordinary least squares regressions were executed on communication rating, measured by the Consumer Assessment of Health Providers and Systems. Results: Only 13.8% of black, non-Hispanic patients reported their usual source of care provider matched their race/ethnicity, compared with 94.4% of white, non-Hispanic patients and 43.8% of Hispanic patients. Differences in communication ratings were driven by patient race, rather than provider race. Although black, non-Hispanic patients rate their communication significantly higher than their counterparts overall, there was no significant influence of patient-provider racial concordance on ratings of communication when controlling for other sociodemographic variables. Conclusions: Minorities may seek the services of minority providers, but they are not more satisfied with patient-provider communication experience than when in race-discordant provider arrangements.
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Previous studies on patient-clinician racial/ethnic or gender concordance have shown mixed or inconclusive results.
“Findings from these studies are varied: some suggest that patient-clinician racial/ethnic or gender concordance offers benefits [7-11], while others do not [12-14]. Moreover, a recent systematic review studying the association between racial, gender, and multifactorial concordance reported inconclusive results on patient outcomes, advocating for further research [15].”
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- Authors
- Sweeney, C. F., Zinner, D., Rust, G., & Fryer, G. E.
- Affiliations
- MGH Institute of Health Professions (US)
- Heller School for Social Policy and Management, Brandeis University, Waltham, MA
- Florida State University (US)
- University of Arkansas for Medical Sciences (US)
- Corresponding author
- Sweeney, Casey F.
- Venue
- Medical Care
- Published
- 2016-11
- Volume
- 54
- Issue
- 11
- Pages
- 1005-1009
- ISSN
- 0025-7079 (ISSN-L)
- OpenAlex
- W2405249750
- Cited by
- 54
- References
- 38
- Citations by year
- 2026: 7 · 2025: 6 · 2024: 7 · 2023: 7 · 2022: 3 · 2021: 7 · 2020: 3 · 2019: 7 · 2018: 4 · 2017: 2 · 2015: 1
- FWCI
- 8.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Medical Care (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Patient-Provider Communication in Healthcare
- Social Sciences › Sociology and Political Science › Cultural Competency in Health Care
- Social Sciences › Gender Studies › Diversity and Career in Medicine
- Keywords
- race and ethnicity, patient-provider communication, communication quality, racial disparities in health care, minority patients, Black patients, Hispanic patients, usual source of care, patient satisfaction
- MeSH terms
- Adolescent, Adult, Black or African American, Communication, Female, Hispanic or Latino, Humans, Male, Middle Aged, Physician-Patient Relations, Patient Satisfaction, White People, Racial Groups, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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