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Persons tested for SAR-CoV-2 at a military treatment facility in Hawaii
Author(s) -
Javier Barranco-Trabi,
Stephen L. Morgan,
Seema Singh,
Jimmy Hill,
Alexander Kayatani,
Victoria Mank,
Holly Nesmith,
Heather O’Mara,
Louis C Tripoli,
Michael B. Lustik,
Jennifer Masel,
Sharon Chi,
Viseth Ngauy
Publication year - 2022
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0263472
Subject(s) - medicine , logistic regression , ethnic group , odds , health care , odds ratio , veterans affairs , health equity , demography , pandemic , active duty , test (biology) , family medicine , retrospective cohort study , military medicine , young adult , covid-19 , gerontology , military personnel , public health , pathology , paleontology , disease , sociology , anthropology , political science , infectious disease (medical specialty) , law , economics , biology , economic growth
Health inequalities based on race are well-documented, and the COVID-19 pandemic is no exception. Despite the advances in modern medicine, access to health care remains a primary determinant of health outcomes, especially for communities of color. African-Americans and other minorities are disproportionately at risk for infection with COVID-19, but this problem extends beyond access alone. This study sought to identify trends in race-based disparities in COVID-19 in the setting of universal access to care. Tripler Army Medical Center (TAMC) is a Department of Defense Military Treatment Facility (DoD-MTF) that provides full access to healthcare to active duty military members, beneficiaries, and veterans. We evaluated the characteristics of individuals diagnosed with SARS-CoV-2 infection at TAMC in a retrospective, case-controlled (1:1) study. Most patients (69%) had received a COVID-19 test within 3 days of symptom onset. Multivariable logistic regression analyses were used to identify factors associated with testing positive and to estimate adjusted odds ratios. African-American patients and patients who identified as “Other” ethnicities were two times more likely to test positive for SARS-CoV-2 relative to Caucasian patients. Other factors associated with testing positive include: younger age, male gender, previous positive test, presenting with >3 symptoms, close contact with a COVID-19 positive patient, and being a member of the US Navy. African-Americans and patients who identify as “Other” ethnicities had disproportionately higher rates of positivity of COVID-19. Although other factors contribute to increased test positivity across all patient populations, access to care does not appear to itself explain this discrepancy with COVID-19.

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