Investigating demographic and socioeconomic disparities among hospitalized patients with COVID-19 in the United States
Author(s)
Kang, Jooyeong
Li, Tianhao
Rousseau, Justin F.
Ding, Ying
Issue Date
2022-02-28
Keyword(s)
COVID-19
Healthcare
Health Inequality
Demographic Inequity
Socioeconomic Inequity
Racial Disparity
Date of Ingest
2022-04-22T20:16:37Z
Abstract
Racial minorities and vulnerable communities in the United States have been considerably affected by the outbreak of COVID-19. The study investigated how unequally distributed the proportions of different groups by race, gender, and education levels are in the cohort of patients who tested positive for COVID-19. We analyzed demographic characteristics of the patients with COVID-19 in a large-scale health record database through descriptive analyses. The study showed that significant differences in the proportions of demographic and social categories existed by conducting the statistical analysis, Chi-square goodness of fit test. Beyond the descriptive statistics, this understanding of demographic characteristics of patients in a commercial electronic health records system can be a baseline for in-depth research on race, gender, and socioeconomic status disparities in access and use of healthcare services during a pandemic.
Publisher
iSchools
Type of Resource
Other
Genre of Resource
Conference Poster
Language
eng
Permalink
http://hdl.handle.net/2142/113747
Copyright and License Information
Copyright 2022 is held by Jooyeong Kang, Tianhao Li, Justin F. Rousseau, and Ying Ding. Copyright permissions, when appropriate, must be obtained directly from the authors.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
kang_et_al_abstract.pdf
kang_et_al_poster.pdf