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Invited Commentary: Undiagnosed and Undertreated-the Suffocating Consequences of the Use of Racially Biased Medical Devices During the COVID-19 Pandemic.
Am J Epidemiol ; 192(5): 714-719, 2023 05 05.
Article in English | MEDLINE | ID: covidwho-2310420
ABSTRACT
While medical technology is typically considered neutral, many devices rely upon racially biased algorithms that prioritize care for White patients over Black patients, who may require more urgent medical attention. In their accompanying article, Sudat et al. (Am J Epidemiol. 2023;XXX(XX)XXX-XXX) document striking inaccuracies in pulse oximeter readings among Black patients, with significant clinical implications. Their findings suggest that this resulted in racial differences in delivery of evidence-based care during the coronavirus disease 2019 (COVID-19) pandemic, affecting admissions and treatment protocols. Despite the medical community's growing awareness of the pulse oximeter's significant design flaw, the device is still in use. In this article, I contextualize Sudat et al.'s study results within the larger history of racial bias in medical devices by highlighting the consequences of the continued underrepresentation of diverse populations in clinical trials. I probe the implications of racially biased assessments within clinical practice and research and illustrate the disproportionate impact on patients of color by examining 2 medical tools, the pulse oximeter and pulmonary function tests. Both cases result in the undertreatment and underdiagnosis of Black patients. I also demonstrate how the social underpinnings of racial bias in medical technology contribute to poor health outcomes and reproduce health disparities, and propose several recommendations for the field to rectify the harms of racial bias in medical technology.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Equipment and Supplies / Racism / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Am J Epidemiol Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Equipment and Supplies / Racism / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Am J Epidemiol Year: 2023 Document Type: Article