Cargando…
Socioeconomic variation in characteristics, outcomes, and healthcare utilization of COVID-19 patients in New York City
OBJECTIVES: There is limited evidence on how clinical outcomes differ by socioeconomic conditions among patients with coronavirus disease 2019 (COVID-19). Most studies focused on COVID-19 patients from a single hospital. Results based on patients from multiple health systems have not been reported....
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321227/ https://www.ncbi.nlm.nih.gov/pubmed/34324574 http://dx.doi.org/10.1371/journal.pone.0255171 |
_version_ | 1783730800928227328 |
---|---|
author | Zhang, Yongkang Khullar, Dhruv Wang, Fei Steel, Peter Wu, Yiyuan Orlander, Duncan Weiner, Mark Kaushal, Rainu |
author_facet | Zhang, Yongkang Khullar, Dhruv Wang, Fei Steel, Peter Wu, Yiyuan Orlander, Duncan Weiner, Mark Kaushal, Rainu |
author_sort | Zhang, Yongkang |
collection | PubMed |
description | OBJECTIVES: There is limited evidence on how clinical outcomes differ by socioeconomic conditions among patients with coronavirus disease 2019 (COVID-19). Most studies focused on COVID-19 patients from a single hospital. Results based on patients from multiple health systems have not been reported. The objective of this study is to examine variation in patient characteristics, outcomes, and healthcare utilization by neighborhood social conditions among COVID-19 patients. METHODS: We extracted electronic health record data for 23,300 community dwelling COVID-19 patients in New York City between March 1(st) and June 11(th), 2020 from all care settings, including hospitalized patients, patients who presented to the emergency department without hospitalization, and patients with ambulatory visits only. Zip Code Tabulation Area—level social conditions were measured by the Social Deprivation Index (SDI). Using logistic regressions and Cox proportional-hazards models, we examined the association between SDI quintiles and hospitalization and death, controlling for race, ethnicity, and other patient characteristics. RESULTS: Among 23,300 community dwelling COVID-19 patients, 60.7% were from neighborhoods with disadvantaged social conditions (top SDI quintile), although these neighborhoods only account for 34% of overall population. Compared to socially advantaged patients (bottom SDI quintile), socially disadvantaged patients (top SDI quintile) were older (median age 55 vs. 53, P<0.001), more likely to be black (23.1% vs. 6.4%, P<0.001) or Hispanic (25.4% vs. 8.5%, P<0.001), and more likely to have chronic conditions (e.g., diabetes: 21.9% vs. 10.5%, P<0.001). Logistic and Cox regressions showed that patients with disadvantaged social conditions had higher risk for hospitalization (odds ratio: 1.68; 95% confidence interval [CI]: [1.46, 1.94]; P<0.001) and mortality (hazard ratio: 1.91; 95% CI: [1.35, 2.70]; P<0.001), adjusting for other patient characteristics. CONCLUSION: Substantial socioeconomic disparities in health outcomes exist among COVID-19 patients in NYC. Disadvantaged neighborhood social conditions were associated with higher risk for hospitalization, severity of disease, and death. |
format | Online Article Text |
id | pubmed-8321227 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-83212272021-07-31 Socioeconomic variation in characteristics, outcomes, and healthcare utilization of COVID-19 patients in New York City Zhang, Yongkang Khullar, Dhruv Wang, Fei Steel, Peter Wu, Yiyuan Orlander, Duncan Weiner, Mark Kaushal, Rainu PLoS One Research Article OBJECTIVES: There is limited evidence on how clinical outcomes differ by socioeconomic conditions among patients with coronavirus disease 2019 (COVID-19). Most studies focused on COVID-19 patients from a single hospital. Results based on patients from multiple health systems have not been reported. The objective of this study is to examine variation in patient characteristics, outcomes, and healthcare utilization by neighborhood social conditions among COVID-19 patients. METHODS: We extracted electronic health record data for 23,300 community dwelling COVID-19 patients in New York City between March 1(st) and June 11(th), 2020 from all care settings, including hospitalized patients, patients who presented to the emergency department without hospitalization, and patients with ambulatory visits only. Zip Code Tabulation Area—level social conditions were measured by the Social Deprivation Index (SDI). Using logistic regressions and Cox proportional-hazards models, we examined the association between SDI quintiles and hospitalization and death, controlling for race, ethnicity, and other patient characteristics. RESULTS: Among 23,300 community dwelling COVID-19 patients, 60.7% were from neighborhoods with disadvantaged social conditions (top SDI quintile), although these neighborhoods only account for 34% of overall population. Compared to socially advantaged patients (bottom SDI quintile), socially disadvantaged patients (top SDI quintile) were older (median age 55 vs. 53, P<0.001), more likely to be black (23.1% vs. 6.4%, P<0.001) or Hispanic (25.4% vs. 8.5%, P<0.001), and more likely to have chronic conditions (e.g., diabetes: 21.9% vs. 10.5%, P<0.001). Logistic and Cox regressions showed that patients with disadvantaged social conditions had higher risk for hospitalization (odds ratio: 1.68; 95% confidence interval [CI]: [1.46, 1.94]; P<0.001) and mortality (hazard ratio: 1.91; 95% CI: [1.35, 2.70]; P<0.001), adjusting for other patient characteristics. CONCLUSION: Substantial socioeconomic disparities in health outcomes exist among COVID-19 patients in NYC. Disadvantaged neighborhood social conditions were associated with higher risk for hospitalization, severity of disease, and death. Public Library of Science 2021-07-29 /pmc/articles/PMC8321227/ /pubmed/34324574 http://dx.doi.org/10.1371/journal.pone.0255171 Text en © 2021 Zhang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Zhang, Yongkang Khullar, Dhruv Wang, Fei Steel, Peter Wu, Yiyuan Orlander, Duncan Weiner, Mark Kaushal, Rainu Socioeconomic variation in characteristics, outcomes, and healthcare utilization of COVID-19 patients in New York City |
title | Socioeconomic variation in characteristics, outcomes, and healthcare utilization of COVID-19 patients in New York City |
title_full | Socioeconomic variation in characteristics, outcomes, and healthcare utilization of COVID-19 patients in New York City |
title_fullStr | Socioeconomic variation in characteristics, outcomes, and healthcare utilization of COVID-19 patients in New York City |
title_full_unstemmed | Socioeconomic variation in characteristics, outcomes, and healthcare utilization of COVID-19 patients in New York City |
title_short | Socioeconomic variation in characteristics, outcomes, and healthcare utilization of COVID-19 patients in New York City |
title_sort | socioeconomic variation in characteristics, outcomes, and healthcare utilization of covid-19 patients in new york city |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321227/ https://www.ncbi.nlm.nih.gov/pubmed/34324574 http://dx.doi.org/10.1371/journal.pone.0255171 |
work_keys_str_mv | AT zhangyongkang socioeconomicvariationincharacteristicsoutcomesandhealthcareutilizationofcovid19patientsinnewyorkcity AT khullardhruv socioeconomicvariationincharacteristicsoutcomesandhealthcareutilizationofcovid19patientsinnewyorkcity AT wangfei socioeconomicvariationincharacteristicsoutcomesandhealthcareutilizationofcovid19patientsinnewyorkcity AT steelpeter socioeconomicvariationincharacteristicsoutcomesandhealthcareutilizationofcovid19patientsinnewyorkcity AT wuyiyuan socioeconomicvariationincharacteristicsoutcomesandhealthcareutilizationofcovid19patientsinnewyorkcity AT orlanderduncan socioeconomicvariationincharacteristicsoutcomesandhealthcareutilizationofcovid19patientsinnewyorkcity AT weinermark socioeconomicvariationincharacteristicsoutcomesandhealthcareutilizationofcovid19patientsinnewyorkcity AT kaushalrainu socioeconomicvariationincharacteristicsoutcomesandhealthcareutilizationofcovid19patientsinnewyorkcity |