Major disparities in COVID-19 test positivity for patients with non-English preferred language even after accounting for race and social factors in the United States in 2020

Abstract Background The COVID-19 pandemic has further exposed inequities in our society, demonstrated by disproportionate COVID-19 infection rate and mortality in communities of color and low-income communities. One key area of inequity that has yet to be explored is disparities based on preferred l...

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Autores principales: Hannah Cohen-Cline, Hsin-Fang Li, Monique Gill, Fatima Rodriguez, Tina Hernandez-Boussard, Harry Wolberg, Jacob Lippa, Keri Vartanian
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Publicado: BMC 2021
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spelling oai:doaj.org-article:e472d09bfe254b35b841ffb3b4f5ce012021-11-21T12:11:13ZMajor disparities in COVID-19 test positivity for patients with non-English preferred language even after accounting for race and social factors in the United States in 202010.1186/s12889-021-12171-z1471-2458https://doaj.org/article/e472d09bfe254b35b841ffb3b4f5ce012021-11-01T00:00:00Zhttps://doi.org/10.1186/s12889-021-12171-zhttps://doaj.org/toc/1471-2458Abstract Background The COVID-19 pandemic has further exposed inequities in our society, demonstrated by disproportionate COVID-19 infection rate and mortality in communities of color and low-income communities. One key area of inequity that has yet to be explored is disparities based on preferred language. Methods We conducted a retrospective cohort study of 164,368 adults tested for COVID-19 in a large healthcare system across Washington, Oregon, and California from March – July 2020. Using electronic health records, we constructed multi-level models that estimated the odds of testing positive for COVID-19 by preferred language, adjusting for age, race/ethnicity, and social factors. We further investigated interaction between preferred language and both race/ethnicity and state. Analysis was performed from October–December 2020. Results Those whose preferred language was not English had higher odds of having a COVID-19 positive test (OR 3.07, p < 0.001); this association remained significant after adjusting for age, race/ethnicity, and social factors. We found significant interaction between language and race/ethnicity and language and state, but the odds of COVID-19 test positivity remained greater for those whose preferred language was not English compared to those whose preferred language was English within each race/ethnicity and state. Conclusions People whose preferred language is not English are at greater risk of testing positive for COVID-19 regardless of age, race/ethnicity, geography, or social factors – demonstrating a significant inequity. Research demonstrates that our public health and healthcare systems are centered on English speakers, creating structural and systemic barriers to health. Addressing these barriers are long overdue and urgent for COVID-19 prevention.Hannah Cohen-ClineHsin-Fang LiMonique GillFatima RodriguezTina Hernandez-BoussardHarry WolbergJacob LippaKeri VartanianBMCarticleCOVID-19 disparityPreferred languageRace/ethnicitySocial factorsPublic aspects of medicineRA1-1270ENBMC Public Health, Vol 21, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic COVID-19 disparity
Preferred language
Race/ethnicity
Social factors
Public aspects of medicine
RA1-1270
spellingShingle COVID-19 disparity
Preferred language
Race/ethnicity
Social factors
Public aspects of medicine
RA1-1270
Hannah Cohen-Cline
Hsin-Fang Li
Monique Gill
Fatima Rodriguez
Tina Hernandez-Boussard
Harry Wolberg
Jacob Lippa
Keri Vartanian
Major disparities in COVID-19 test positivity for patients with non-English preferred language even after accounting for race and social factors in the United States in 2020
description Abstract Background The COVID-19 pandemic has further exposed inequities in our society, demonstrated by disproportionate COVID-19 infection rate and mortality in communities of color and low-income communities. One key area of inequity that has yet to be explored is disparities based on preferred language. Methods We conducted a retrospective cohort study of 164,368 adults tested for COVID-19 in a large healthcare system across Washington, Oregon, and California from March – July 2020. Using electronic health records, we constructed multi-level models that estimated the odds of testing positive for COVID-19 by preferred language, adjusting for age, race/ethnicity, and social factors. We further investigated interaction between preferred language and both race/ethnicity and state. Analysis was performed from October–December 2020. Results Those whose preferred language was not English had higher odds of having a COVID-19 positive test (OR 3.07, p < 0.001); this association remained significant after adjusting for age, race/ethnicity, and social factors. We found significant interaction between language and race/ethnicity and language and state, but the odds of COVID-19 test positivity remained greater for those whose preferred language was not English compared to those whose preferred language was English within each race/ethnicity and state. Conclusions People whose preferred language is not English are at greater risk of testing positive for COVID-19 regardless of age, race/ethnicity, geography, or social factors – demonstrating a significant inequity. Research demonstrates that our public health and healthcare systems are centered on English speakers, creating structural and systemic barriers to health. Addressing these barriers are long overdue and urgent for COVID-19 prevention.
format article
author Hannah Cohen-Cline
Hsin-Fang Li
Monique Gill
Fatima Rodriguez
Tina Hernandez-Boussard
Harry Wolberg
Jacob Lippa
Keri Vartanian
author_facet Hannah Cohen-Cline
Hsin-Fang Li
Monique Gill
Fatima Rodriguez
Tina Hernandez-Boussard
Harry Wolberg
Jacob Lippa
Keri Vartanian
author_sort Hannah Cohen-Cline
title Major disparities in COVID-19 test positivity for patients with non-English preferred language even after accounting for race and social factors in the United States in 2020
title_short Major disparities in COVID-19 test positivity for patients with non-English preferred language even after accounting for race and social factors in the United States in 2020
title_full Major disparities in COVID-19 test positivity for patients with non-English preferred language even after accounting for race and social factors in the United States in 2020
title_fullStr Major disparities in COVID-19 test positivity for patients with non-English preferred language even after accounting for race and social factors in the United States in 2020
title_full_unstemmed Major disparities in COVID-19 test positivity for patients with non-English preferred language even after accounting for race and social factors in the United States in 2020
title_sort major disparities in covid-19 test positivity for patients with non-english preferred language even after accounting for race and social factors in the united states in 2020
publisher BMC
publishDate 2021
url https://doaj.org/article/e472d09bfe254b35b841ffb3b4f5ce01
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