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Factors Associated with COVID-Related Mortality: the Case of Texas
BACKGROUND: Texas ranks 2nd in the count of COVID cases. Pre-existing disparities in healthcare may be intersecting with COVID-19 outcomes. OBJECTIVES: To explore the relationship between county-level race/ethnic composition and COVID-19 mortality in the state of Texas and determine whether county-l...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7651831/ https://www.ncbi.nlm.nih.gov/pubmed/33169310 http://dx.doi.org/10.1007/s40615-020-00913-5 |
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author | Ojinnaka, Chinedum O. Adepoju, Omolola E. Burgess, Anh Vi Woodard, LeChauncy |
author_facet | Ojinnaka, Chinedum O. Adepoju, Omolola E. Burgess, Anh Vi Woodard, LeChauncy |
author_sort | Ojinnaka, Chinedum O. |
collection | PubMed |
description | BACKGROUND: Texas ranks 2nd in the count of COVID cases. Pre-existing disparities in healthcare may be intersecting with COVID-19 outcomes. OBJECTIVES: To explore the relationship between county-level race/ethnic composition and COVID-19 mortality in the state of Texas and determine whether county-level health factors, healthcare access measures, and other demographic characteristics explain this relationship. METHODS: This retrospective study uses county-level case and fatality data obtained from the Texas Department of State Health Services and merged with the 2020 Robert Wood Johnson foundation (RWJF) county health rankings data. The outcome variables were fatalities per 100,000 population. A two-part/hurdle model examined (1) the probability of having a COVID-19 fatality and (2) fatalities per 100,000 population in counties with 1+ fatalities. For both parts of the hurdle model, we examined the impacts of racial and ethnic composition, adjusting for county characteristics and health factors. RESULTS: The odds of having a COVID-19 fatality decreased with a unit increase in the rate of primary care physicians in a county (OR = 0.93; 95% CI = 0.89, 0.99). In the second part of the model, there was a statistically significant increase in COVID-19 fatalities/100,000 population with every 1 % increase in the proportion of Hispanics (β = 5.41; p = 0.03) and African Americans (β = 5.08; p value = 0.04). CONCLUSION: Counties with higher rates of minorities, specifically Hispanics and African Americans, have a higher COVID-19 fatality burden. Targeted interventions are needed to raise awareness of preventive measures in these communities. |
format | Online Article Text |
id | pubmed-7651831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-76518312020-11-10 Factors Associated with COVID-Related Mortality: the Case of Texas Ojinnaka, Chinedum O. Adepoju, Omolola E. Burgess, Anh Vi Woodard, LeChauncy J Racial Ethn Health Disparities Article BACKGROUND: Texas ranks 2nd in the count of COVID cases. Pre-existing disparities in healthcare may be intersecting with COVID-19 outcomes. OBJECTIVES: To explore the relationship between county-level race/ethnic composition and COVID-19 mortality in the state of Texas and determine whether county-level health factors, healthcare access measures, and other demographic characteristics explain this relationship. METHODS: This retrospective study uses county-level case and fatality data obtained from the Texas Department of State Health Services and merged with the 2020 Robert Wood Johnson foundation (RWJF) county health rankings data. The outcome variables were fatalities per 100,000 population. A two-part/hurdle model examined (1) the probability of having a COVID-19 fatality and (2) fatalities per 100,000 population in counties with 1+ fatalities. For both parts of the hurdle model, we examined the impacts of racial and ethnic composition, adjusting for county characteristics and health factors. RESULTS: The odds of having a COVID-19 fatality decreased with a unit increase in the rate of primary care physicians in a county (OR = 0.93; 95% CI = 0.89, 0.99). In the second part of the model, there was a statistically significant increase in COVID-19 fatalities/100,000 population with every 1 % increase in the proportion of Hispanics (β = 5.41; p = 0.03) and African Americans (β = 5.08; p value = 0.04). CONCLUSION: Counties with higher rates of minorities, specifically Hispanics and African Americans, have a higher COVID-19 fatality burden. Targeted interventions are needed to raise awareness of preventive measures in these communities. Springer International Publishing 2020-11-09 2021 /pmc/articles/PMC7651831/ /pubmed/33169310 http://dx.doi.org/10.1007/s40615-020-00913-5 Text en © This is a U.S. government work and its text is not subject to copyright protection in the United States; however, its text may be subject to foreign copyright protection 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Ojinnaka, Chinedum O. Adepoju, Omolola E. Burgess, Anh Vi Woodard, LeChauncy Factors Associated with COVID-Related Mortality: the Case of Texas |
title | Factors Associated with COVID-Related Mortality: the Case of Texas |
title_full | Factors Associated with COVID-Related Mortality: the Case of Texas |
title_fullStr | Factors Associated with COVID-Related Mortality: the Case of Texas |
title_full_unstemmed | Factors Associated with COVID-Related Mortality: the Case of Texas |
title_short | Factors Associated with COVID-Related Mortality: the Case of Texas |
title_sort | factors associated with covid-related mortality: the case of texas |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7651831/ https://www.ncbi.nlm.nih.gov/pubmed/33169310 http://dx.doi.org/10.1007/s40615-020-00913-5 |
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