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  • Are Clinicians Contributing to Excess African American COVID-19 Deaths? Unbeknownst to Them, They May Be

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    Carson422499-Published.pdf (261.6Kb)
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    Version of Record (VoR)
    Author(s)
    Milam, AJ
    Furr-Holden, D
    Edwards-Johnson, J
    Webb, B
    Patton, JW
    Ezekwemba, NC
    Porter, L
    Davis, TM
    Chukwurah, M
    Webb, AJ
    Simon, K
    Franck, G
    Anthony, J
    Carson, JT
    et al.
    Griffith University Author(s)
    Carson, James
    Year published
    2020
    Metadata
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    Abstract
    African Americans are overrepresented among reported coronavirus disease 2019 (COVID-19) cases and deaths. There are a multitude of factors that may explain the African American disparity in COVID-19 outcomes, including higher rates of comorbidities. While individual-level factors predictably contribute to disparate COVID-19 outcomes, systematic and structural factors have not yet been reported. It stands to reason that implicit biases may fuel the racial disparity in COVID-19 outcomes. To address this racial disparity, we must apply a health equity lens and disaggregate data explicitly for African Americans, as well as other ...
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    African Americans are overrepresented among reported coronavirus disease 2019 (COVID-19) cases and deaths. There are a multitude of factors that may explain the African American disparity in COVID-19 outcomes, including higher rates of comorbidities. While individual-level factors predictably contribute to disparate COVID-19 outcomes, systematic and structural factors have not yet been reported. It stands to reason that implicit biases may fuel the racial disparity in COVID-19 outcomes. To address this racial disparity, we must apply a health equity lens and disaggregate data explicitly for African Americans, as well as other populations at risk for biased treatment in the health-care system.
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    Journal Title
    Health Equity
    Volume
    4
    Issue
    1
    DOI
    https://doi.org/10.1089/heq.2020.0015
    Copyright Statement
    © Adam J. Milam et al. 2020; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
    Publication URI
    http://hdl.handle.net/10072/396422
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