Racial disparities in knowledge, attitudes and practices related to COVID-19 in the USA.


Journal

Journal of public health (Oxford, England)
ISSN: 1741-3850
Titre abrégé: J Public Health (Oxf)
Pays: England
ID NLM: 101188638

Informations de publication

Date de publication:
18 Aug 2020
Historique:
received: 04 05 2020
revised: 05 05 2020
accepted: 06 05 2020
pubmed: 4 6 2020
medline: 1 9 2020
entrez: 4 6 2020
Statut: ppublish

Résumé

Recent reports indicate racial disparities in the rates of infection and mortality from the 2019 novel coronavirus (coronavirus disease 2019 [COVID-19]). The aim of this study was to determine whether disparities exist in the levels of knowledge, attitudes and practices (KAPs) related to COVID-19. We analyzed data from 1216 adults in the March 2020 Kaiser Family Foundation 'Coronavirus Poll', to determine levels of KAPs across different groups. Univariate and multivariate regression analysis was used to identify predictors of KAPs. In contrast to White respondents, Non-White respondents were more likely to have low knowledge (58% versus 30%; P < 0.001) and low attitude scores (52% versus 27%; P < 0.001), but high practice scores (81% versus 59%; P < 0.001). By multivariate regression, White race (odds ratio [OR] 3.06; 95% confidence interval [CI]: 1.70-5.50), higher level of education (OR 1.80; 95% CI: 1.46-2.23) and higher income (OR 2.06; 95% CI: 1.58-2.70) were associated with high knowledge of COVID-19. Race, sex, education, income, health insurance status and political views were all associated with KAPs. Racial and socioeconomic disparity exists in the levels of KAPs related to COVID-19. More work is needed to identify educational tools that tailor to specific racial and socioeconomic groups.

Sections du résumé

BACKGROUND BACKGROUND
Recent reports indicate racial disparities in the rates of infection and mortality from the 2019 novel coronavirus (coronavirus disease 2019 [COVID-19]). The aim of this study was to determine whether disparities exist in the levels of knowledge, attitudes and practices (KAPs) related to COVID-19.
METHODS METHODS
We analyzed data from 1216 adults in the March 2020 Kaiser Family Foundation 'Coronavirus Poll', to determine levels of KAPs across different groups. Univariate and multivariate regression analysis was used to identify predictors of KAPs.
RESULTS RESULTS
In contrast to White respondents, Non-White respondents were more likely to have low knowledge (58% versus 30%; P < 0.001) and low attitude scores (52% versus 27%; P < 0.001), but high practice scores (81% versus 59%; P < 0.001). By multivariate regression, White race (odds ratio [OR] 3.06; 95% confidence interval [CI]: 1.70-5.50), higher level of education (OR 1.80; 95% CI: 1.46-2.23) and higher income (OR 2.06; 95% CI: 1.58-2.70) were associated with high knowledge of COVID-19. Race, sex, education, income, health insurance status and political views were all associated with KAPs.
CONCLUSIONS CONCLUSIONS
Racial and socioeconomic disparity exists in the levels of KAPs related to COVID-19. More work is needed to identify educational tools that tailor to specific racial and socioeconomic groups.

Identifiants

pubmed: 32490519
pii: 5850538
doi: 10.1093/pubmed/fdaa069
pmc: PMC7313911
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

470-478

Commentaires et corrections

Type : CommentIn

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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Auteurs

Wilson M Alobuia (WM)

Department of Health Research & Policy, Stanford University, Stanford, CA 94305, USA.
Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA.

Nathan P Dalva-Baird (NP)

Department of Humanities and Sciences, Stanford University, Stanford, CA 94305, USA.

Joseph D Forrester (JD)

Department of Health Research & Policy, Stanford University, Stanford, CA 94305, USA.

Eran Bendavid (E)

Department of Medicine, Center for Health Policy and the Center for Primary Care and Outcomes Research, Stanford, CA 94305, USA.

Jay Bhattacharya (J)

Department of Medicine, Center for Health Policy and the Center for Primary Care and Outcomes Research, Stanford, CA 94305, USA.

Electron Kebebew (E)

Department of Health Research & Policy, Stanford University, Stanford, CA 94305, USA.

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Classifications MeSH