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Unequal treatment: confronting racial and ethnic disparities in health care
Open accessAbstract
Racial and ethnic disparities in health care are known to reflect access to care and other issues that arise from differing socioeconomic conditions. There is, however, increasing evidence that even after such differences are accounted for, race and ethnicity remain significant predictors of the quality of health care received. In Unequal Treatment, a panel of experts documents this evidence and explores how persons of color experience the health care environment. The book examines how disparities in treatment may arise in health care systems and looks at aspects of the clinical encounter that may contribute to such disparities. Patients' and providers' attitudes, expectations, and behavior are analyzed. How to intervene? Unequal Treatment offers recommendations for improvements in medical care financing, allocation of care, availability of language translation, community-based care, and other arenas. The committee highlights the potential of cross-cultural education to improve provider-patient communication and offers a detailed look at how to integrate cross-cultural learning within the health professions. The book concludes with recommendations for data collection and research initiatives. Unequal Treatment will be vitally important to health care policymakers, administrators, providers, educators, and students as well as advocates for people of color.
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“The report identified increasing the number of underrepresented health professionals as a possible key strategy to eliminate health disparities.10”
From Perceived Success After Participation in the Summer Health Professions Education Program (2024) · cites this paper as [10]
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“The 2003 Institute of Medicine’s landmark study, “Unequal Treatment,”10 documented lower health care quality and higher rates of illness, disability, and premature deaths among underrepresented populations in the US.”
From Perceived Success After Participation in the Summer Health Professions Education Program (2024) · cites this paper as [10]
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Metadata
- Authors
- Nelson, A.
- Corresponding author
- Alan Nelson
- Venue
- Choice Reviews Online
- Publisher
- American Library Association
- Published
- 2003-06-01
- Volume
- 40
- Issue
- 10
- Pages
- 40-5843-40-5843
- ISSN
- 0009-4978 (ISSN-L)
- 1523-8253
- PMC
- PMC2594273
- OpenAlex
- W1918881530
- Cited by
- 7,043
- References
- 0
- Citations by year
- 2026: 3 · 2025: 54 · 2024: 150 · 2023: 156 · 2022: 204 · 2021: 319 · 2020: 391 · 2019: 257 · 2018: 244 · 2017: 248 · 2016: 301 · 2015: 346 · 2014: 400 · 2013: 401 · 2012: 395
- Type
- book review
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Choice Reviews Online (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Cultural Competency in Health Care
- Social Sciences › Health › Health disparities and outcomes
- Social Sciences › Sociology and Political Science › Racial and Ethnic Identity Research
- Keywords
- racial and ethnic disparities in health care, quality of care, health care access, socioeconomic status, patient encounters, provider attitudes, patient expectations, language translation, community-based care, intercultural education, provider-patient communication, health professions education, health care financing, healthcare resource allocation, health disparities research
- MeSH terms
- Health Services Accessibility, Humans, Minority Groups, Quality of Health Care, Socioeconomic Factors, United States
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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