Hostname: page-component-89b8bd64d-ktprf Total loading time: 0 Render date: 2026-05-08T13:03:34.507Z Has data issue: false hasContentIssue false

Coronavirus Disease Health Care Delivery Impact on African Americans

Published online by Cambridge University Press:  29 May 2020

Rahul Chaturvedi*
Affiliation:
School of Medicine, University of California San Diego, La Jolla, CA
Rodney A Gabriel
Affiliation:
Department of Anesthesiology, University of California San Diego, La Jolla, CA Department of Medicine, Division of Biomedical Informatics, University of California, San Diego, La Jolla, CA
*
Correspondence and reprint requests to Rahul Chaturvedi, 9300 Campus Point Drive, MC7770, La Jolla, CA, 92037-7770 (e-mail: rchaturv@health.ucsd.edu).
Rights & Permissions [Opens in a new window]

Abstract

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has infected over 1.5 million individuals and led to over 91, 000 deaths in the United States (US) alone as of May 20th, 2020. Minority populations, however, continue to be a high-risk population to contract the SARS-CoV-2 infection. While socioeconomic inequality may help to explain why minority ethnic populations are contracting the SARS-CoV-2 in larger proportions, the reason for elevated mortality rates in African Americans is still unknown. African Americans are less likely than whites to utilize high-quality hospitals, ambulatory care services, and regular primary care providers; this is most likely a result of barriers to accessing high quality treatment, as African Americans have substantially higher uninsured rates. However, previous reports have shown that regardless of insurance status, African Americans are more likely to be directed toward lower quality treatment plans compared to their white counterparts, and that physicians carry implicit biases that negatively impact treatment regimens for these minority populations. While income, education, and access to healthcare should be revised in due time, in the short term physicians should do everything possible to learn about implicit biases that may exist in healthcare, as the first step to minimize implicit biases is to recognize that they exist.

Information

Type
Commentary
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © 2020 Society for Disaster Medicine and Public Health, Inc.