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Estimating the effects of race and social vulnerability on hospital admission and mortality from COVID-19
Author(s) -
Joshua M. Landman,
Karen Steger-May,
Karen E. Joynt Maddox,
Gmerice Hammond,
Aditi Gupta,
Adriana M. Rauseo,
Zhao Min,
Randi E. Foraker
Publication year - 2021
Publication title -
jamia open
Language(s) - English
Resource type - Journals
ISSN - 2574-2531
DOI - 10.1093/jamiaopen/ooab111
Subject(s) - socioeconomic status , medicine , disadvantaged , pandemic , social vulnerability , demography , psychological intervention , vulnerability (computing) , race (biology) , public health , gerontology , social distance , social class , covid-19 , environmental health , disease , population , nursing , botany , political science , infectious disease (medical specialty) , law , computer science , biology , computer security , sociology
Objective To estimate the risk of hospital admission and mortality from COVID-19 to patients and measure the association of race and area-level social vulnerability with those outcomes. Materials and Methods Using patient records collected at a multisite hospital system from April 2020 to October 2020, the risk of hospital admission and the risk of mortality were estimated for patients who tested positive for COVID-19 and were admitted to the hospital for COVID-19, respectively, using generalized estimating equations while controlling for patient race, patient area-level social vulnerability, and time course of the pandemic. Results Black individuals were 3.57 as likely (95% CI, 3.18–4.00) to be hospitalized than White people, and patients living in the most disadvantaged areas were 2.61 times as likely (95% CI, 2.26–3.02) to be hospitalized than those living in the least disadvantaged areas. While Black patients had lower raw mortality than White patients, mortality was similar after controlling for comorbidities and social vulnerability. Discussion Our findings point to potent correlates of race and socioeconomic status, including resource distribution, employment, and shared living spaces, that may be associated with inequitable burden of disease across patients of different races. Conclusions Public health and policy interventions should address these social factors when responding to the next pandemic.

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