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1.
J Racial Ethn Health Disparities ; 9(5): 2011-2018, 2022 10.
Article in English | MEDLINE | ID: covidwho-1401116

ABSTRACT

OBJECTIVE: There is a paucity of data on how race affects the clinical presentation and short-term outcome among hospitalized patients with SARS-CoV-2, the 2019 coronavirus (COVID-19). METHODS: Hospitalized patients ≥ 18 years, testing positive for COVID-19 from March 13, 2020 to May 13, 2020 in a United States (U.S.) integrated healthcare system with multiple facilities in two states were evaluated. We documented racial differences in clinical presentation, disposition, and in-hospital outcomes for hospitalized patients with COIVD-19. Multivariable regression analysis was utilized to evaluate independent predictors of outcomes by race. RESULTS: During the study period, 3678 patients tested positive for COVID-19, among which 866 were hospitalized (55.4% self-identified as Caucasian, 29.5% as Black, 3.3% as Hispanics, and 4.7% as other racial groups). Hospitalization rates were highest for Black patients (36.6%), followed by other (28.3%), Caucasian patients (24.4%), then Hispanic patients (10.7%) (p < 0.001). Caucasian patients were older, and with more comorbidities. Absolute lymphocyte count was lowest among Caucasian patients. Multivariable regression analysis revealed that compared to Caucasians, there was no significant difference in in-hospital mortality among Black patients (adjusted odds ratio [OR] 0.53; 95% confidence interval [CI] 0.26-1.09; p = 0.08) or other races (adjusted OR 1.62; 95% CI 0.80-3.27; p = 0.18). Black and Hispanic patients were admitted less frequently to the intensive care unit (ICU), and Black patients were less likely to require pressor support or hemodialysis (HD) compared with Caucasians. CONCLUSIONS: This observational analysis of a large integrated healthcare system early in the pandemic revealed that patients with COVID-19 did exhibit some racial variations in clinical presentation, laboratory data, and requirements for advanced monitoring and cardiopulmonary support, but these nuances did not dramatically alter in-hospital outcomes.


Subject(s)
COVID-19 , COVID-19/therapy , Hospitals , Humans , Race Factors , Retrospective Studies , SARS-CoV-2 , United States/epidemiology
2.
Cleve Clin J Med ; 2021 May 09.
Article in English | MEDLINE | ID: covidwho-1222248

ABSTRACT

Attaining equity in vaccination distribution is a moral and ethical goal that ensures all members of our community are properly cared for. We suggest a comprehensive approach that involves allocating community resources based on local economic, demographic, and COVID-19 infection data, removing technology barriers by staffing vaccine appointment call-in centers, distributing vaccines based on objective factors (eg, household density) rather than on a "first come, first served" basis, and creating pop-up vaccination sites at trusted community organizations such as federally qualified healthcare centers, churches, libraries, and barber/beauty shops. Until every community is safe, no community will be safe.

4.
J Natl Med Assoc ; 113(4): 368-370, 2021 Aug.
Article in English | MEDLINE | ID: covidwho-1085521

ABSTRACT

Minority groups continue to suffer disproportionately from COVID-19's impact, with Blacks and Hispanics three times more likely to die from the disease than their White counterparts. The COVID-19 vaccine roll out has the potential to provide relief to these most adversely impacted communities. However, historic mistrust within racial minority communities threatens to derail the effective implementation of a vaccination program. The origin of this mistrust is multifactorial. Current day experience with structural racism and research abuses like Tuskegee Study collectively influence our perception of biased healthcare system. We outline issues and propose solutions that must be addressed to achieve a successful vaccination agenda. Mishandling of public expectations at any point may lead to an avalanche of vaccine opposition which might be unrecoverable.


Subject(s)
COVID-19 Vaccines/administration & dosage , COVID-19/prevention & control , Immunization Programs/organization & administration , Communication , Health Status Disparities , Humans , Information Dissemination , Racism , Trust , Vaccination Refusal
6.
J Natl Med Assoc ; 113(1): 39-42, 2021 Feb.
Article in English | MEDLINE | ID: covidwho-701889

ABSTRACT

Health and healthcare disparities are variances in the health of a population or the care rendered to a population. Disparities result in a disproportionately higher prevalence of disease or lower standard of care provided to the index group. Multiple theories exist regarding the genesis of this disturbing finding. The COVID-19 pandemic has had the unfortunate effect of amplifying health inequity in vulnerable populations. African Americans, who make up approximately 12% of the US population are reportedly being diagnosed with COVID-19 and dying at disproportionately higher rates. Viewed holistically, multiple factors are contributing to the perfect storm: 1) Limited availability of public testing, 2) A dramatic increase in low wage worker unemployment/health insurance loss especially in the service sector of the economy, 3) High rates of preexisting chronic disease states/reduced access to early healthcare and 4) Individual provider and structural healthcare system bias. Indeed, COVID-19 represents a pandemic superimposed on a historic epidemic of racial health inequity and healthcare disparities. Therapeutic solutions are not expected in the near term. Thus, identifying the genesis and magnitude of COVID-19's impact on African American communities is the requisite first step toward crafting an immediate well designed response. The mid and long term approach should incorporate population health based tactics and strategies.


Subject(s)
Black or African American/statistics & numerical data , COVID-19/epidemiology , Health Status Disparities , COVID-19/ethnology , Healthcare Disparities , Humans , Racism , Social Determinants of Health/ethnology , Social Determinants of Health/statistics & numerical data , United States/epidemiology
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