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Demographic and Socioeconomic Characteristics of COVID-19 Patients Treated in the Emergency Department of a New York City Hospital
Demographic and socioeconomic factors can contribute to community spread of COVID-19. The aim of this study is to describe the demographics and socioeconomic factors in relation to geolocation of COVID-19 patients who were discharged from the emergency department (ED) back into the community. This r...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578577/ https://www.ncbi.nlm.nih.gov/pubmed/33090305 http://dx.doi.org/10.1007/s10900-020-00937-2 |
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author | James, Melissa K . Kishore, Mehwish Lee, Shi-Wen |
author_facet | James, Melissa K . Kishore, Mehwish Lee, Shi-Wen |
author_sort | James, Melissa K . |
collection | PubMed |
description | Demographic and socioeconomic factors can contribute to community spread of COVID-19. The aim of this study is to describe the demographics and socioeconomic factors in relation to geolocation of COVID-19 patients who were discharged from the emergency department (ED) back into the community. This retrospective study was conducted over a 7-week period, at an urban, adult, level 1 trauma center in New York City. Demographics, socioeconomic factors, and geolocation of COVID-19 patients discharged from the ED were extracted from the electronic medical records. Patients were stratified by gender for data analysis. A total of 634 patients were included in the study, 376 (59.3%) were male and 205 (32.3%) were Hispanic White. The median age of patients was 50 years (IQR: 38, 60, Min:15, Max:96). The unemployment rate in our population was 41.2% and 75.5% reported contracting the virus via community spread. ED mortality rate was 11.8%; the majority of which were male (N = 50, 66.7%) and the median age was 70 years (IQR: 59, 82). There were 9.4% (95% CI 2.9–12.4) more Black males and 5.4% (95% CI 0.4–10.4) more males who had no insurance coverage compared to females. 26.8% (95% CI 14.5–39) more females worked in the healthcare field and 7.1% (95% CI 0.3–13.9) more were infected via primary contact compared to males. COVID-19 disproportionately affected minorities and males. Socioeconomic factors should be taken into consideration when preparing strategies for preventing the spread of the virus, especially for individuals who are expected to self-isolate. |
format | Online Article Text |
id | pubmed-7578577 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-75785772020-10-22 Demographic and Socioeconomic Characteristics of COVID-19 Patients Treated in the Emergency Department of a New York City Hospital James, Melissa K . Kishore, Mehwish Lee, Shi-Wen J Community Health Original Paper Demographic and socioeconomic factors can contribute to community spread of COVID-19. The aim of this study is to describe the demographics and socioeconomic factors in relation to geolocation of COVID-19 patients who were discharged from the emergency department (ED) back into the community. This retrospective study was conducted over a 7-week period, at an urban, adult, level 1 trauma center in New York City. Demographics, socioeconomic factors, and geolocation of COVID-19 patients discharged from the ED were extracted from the electronic medical records. Patients were stratified by gender for data analysis. A total of 634 patients were included in the study, 376 (59.3%) were male and 205 (32.3%) were Hispanic White. The median age of patients was 50 years (IQR: 38, 60, Min:15, Max:96). The unemployment rate in our population was 41.2% and 75.5% reported contracting the virus via community spread. ED mortality rate was 11.8%; the majority of which were male (N = 50, 66.7%) and the median age was 70 years (IQR: 59, 82). There were 9.4% (95% CI 2.9–12.4) more Black males and 5.4% (95% CI 0.4–10.4) more males who had no insurance coverage compared to females. 26.8% (95% CI 14.5–39) more females worked in the healthcare field and 7.1% (95% CI 0.3–13.9) more were infected via primary contact compared to males. COVID-19 disproportionately affected minorities and males. Socioeconomic factors should be taken into consideration when preparing strategies for preventing the spread of the virus, especially for individuals who are expected to self-isolate. Springer US 2020-10-22 2021 /pmc/articles/PMC7578577/ /pubmed/33090305 http://dx.doi.org/10.1007/s10900-020-00937-2 Text en © Springer Science+Business Media, LLC, part of Springer Nature 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 | Original Paper James, Melissa K . Kishore, Mehwish Lee, Shi-Wen Demographic and Socioeconomic Characteristics of COVID-19 Patients Treated in the Emergency Department of a New York City Hospital |
title | Demographic and Socioeconomic Characteristics of COVID-19 Patients Treated in the Emergency Department of a New York City Hospital |
title_full | Demographic and Socioeconomic Characteristics of COVID-19 Patients Treated in the Emergency Department of a New York City Hospital |
title_fullStr | Demographic and Socioeconomic Characteristics of COVID-19 Patients Treated in the Emergency Department of a New York City Hospital |
title_full_unstemmed | Demographic and Socioeconomic Characteristics of COVID-19 Patients Treated in the Emergency Department of a New York City Hospital |
title_short | Demographic and Socioeconomic Characteristics of COVID-19 Patients Treated in the Emergency Department of a New York City Hospital |
title_sort | demographic and socioeconomic characteristics of covid-19 patients treated in the emergency department of a new york city hospital |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578577/ https://www.ncbi.nlm.nih.gov/pubmed/33090305 http://dx.doi.org/10.1007/s10900-020-00937-2 |
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