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Estimating the effects of race and social vulnerability on hospital admission and mortality from COVID-19.
Landman, Joshua M; Steger-May, Karen; Joynt Maddox, Karen E; Hammond, Gmerice; Gupta, Aditi; Rauseo, Adriana M; Zhao, Min; Foraker, Randi E.
  • Landman JM; Institute for Informatics, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
  • Steger-May K; Division of Computational and Data Sciences, Washington University in St. Louis, St. Louis, Missouri, USA.
  • Joynt Maddox KE; Division of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
  • Hammond G; Cardiovascular Division, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
  • Gupta A; Cardiovascular Division, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
  • Rauseo AM; Institute for Informatics, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
  • Zhao M; Division of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
  • Foraker RE; Division of Infectious Diseases, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
JAMIA Open ; 4(4): ooab111, 2021 Oct.
Article in English | MEDLINE | ID: covidwho-1684721
ABSTRACT

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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: JAMIA Open Year: 2021 Document Type: Article Affiliation country: Jamiaopen

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: JAMIA Open Year: 2021 Document Type: Article Affiliation country: Jamiaopen