Socioeconomic variation in characteristics, outcomes, and healthcare utilization of COVID-19 patients in New York City

Yongkang Zhang, Dhruv Khullar, Fei Wang, Peter Steel, Yiyuan Wu, Duncan Orlander, Mark Weiner and Rainu Kaushal

PLOS ONE, 2021, vol. 16, issue 7, 1-17

Abstract: 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 1st and June 11th, 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

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0255171

DOI: 10.1371/journal.pone.0255171

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