Understanding COVID-19 Health Disparities With Birth Country and Language Data
Copyright © 2023 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved..
INTRODUCTION: Understanding of COVID-19-related disparities in the U.S. is largely informed by traditional race/ethnicity categories that mask important social group differences. This analysis utilizes granular information on patients' country of birth and preferred language from a large health system to provide more nuanced insights into health disparities.
METHODS: Data from patients seeking care from a large Midwestern health system between January 1, 2019 and July 31, 2021 and COVID-19-related events occurring from March 18, 2020 to July 31, 2021 were used to describe COVID-19 disparities. Statistics were performed between January 1, 2022 and March 15, 2023. Age-adjusted generalized linear models estimated RR across race/ethnicity, country of birth grouping, preferred language, and multiple stratified groups.
RESULTS: The majority of the 1,114,895 patients were born in western advanced economies (58.6%). Those who were Hispanic/Latino, were born in Latin America and the Caribbean, and preferred Spanish language had highest RRs of infection and hospitalization. Black-identifying patients born in sub-Saharan African countries had a higher risk of infection than their western advanced economies counterparts. Subanalyses revealed elevated hospitalization and death risk for White-identifying patients from Eastern Europe and Central Asia and Asian-identifying patients from Southeast Asia and the Pacific. All non-English languages had a higher risk of all COVID-19 outcomes, most notably Hmong and languages from Burma/Myanmar.
CONCLUSIONS: Stratifications by country of birth grouping and preferred language identified culturally distinct groups whose vulnerability to COVID-19 would have otherwise been masked by traditional racial/ethnic labels. Routine collection of these data is critical for identifying social groups at high risk and for informing linguistically and culturally relevant interventions.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:65 |
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| Enthalten in: |
American journal of preventive medicine - 65(2023), 6 vom: 21. Dez., Seite 993-1002 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Smith, M Kumi [VerfasserIn] |
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| Anmerkungen: |
Date Completed 21.11.2023 Date Revised 14.12.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.amepre.2023.06.018 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2023 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved. | ||
| 520 | |a INTRODUCTION: Understanding of COVID-19-related disparities in the U.S. is largely informed by traditional race/ethnicity categories that mask important social group differences. This analysis utilizes granular information on patients' country of birth and preferred language from a large health system to provide more nuanced insights into health disparities | ||
| 520 | |a METHODS: Data from patients seeking care from a large Midwestern health system between January 1, 2019 and July 31, 2021 and COVID-19-related events occurring from March 18, 2020 to July 31, 2021 were used to describe COVID-19 disparities. Statistics were performed between January 1, 2022 and March 15, 2023. Age-adjusted generalized linear models estimated RR across race/ethnicity, country of birth grouping, preferred language, and multiple stratified groups | ||
| 520 | |a RESULTS: The majority of the 1,114,895 patients were born in western advanced economies (58.6%). Those who were Hispanic/Latino, were born in Latin America and the Caribbean, and preferred Spanish language had highest RRs of infection and hospitalization. Black-identifying patients born in sub-Saharan African countries had a higher risk of infection than their western advanced economies counterparts. Subanalyses revealed elevated hospitalization and death risk for White-identifying patients from Eastern Europe and Central Asia and Asian-identifying patients from Southeast Asia and the Pacific. All non-English languages had a higher risk of all COVID-19 outcomes, most notably Hmong and languages from Burma/Myanmar | ||
| 520 | |a CONCLUSIONS: Stratifications by country of birth grouping and preferred language identified culturally distinct groups whose vulnerability to COVID-19 would have otherwise been masked by traditional racial/ethnic labels. Routine collection of these data is critical for identifying social groups at high risk and for informing linguistically and culturally relevant interventions | ||
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| 700 | 1 | |a LaFrance, Amy B |e verfasserin |4 aut | |
| 700 | 1 | |a Vazquez Benitez, Gabriela |e verfasserin |4 aut | |
| 700 | 1 | |a Quadri, Nasreen S |e verfasserin |4 aut | |
| 700 | 1 | |a DeFor, Terese A |e verfasserin |4 aut | |
| 700 | 1 | |a Mann, Erin M |e verfasserin |4 aut | |
| 700 | 1 | |a Alpern, Jonathan D |e verfasserin |4 aut | |
| 700 | 1 | |a Stauffer, William M |e verfasserin |4 aut | |
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