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Quantifying the association between ethnicity and COVID-19 mortality: a national cohort study protocol

Quantifying the association between ethnicity and COVID-19 mortality: a national cohort study protocol
Quantifying the association between ethnicity and COVID-19 mortality: a national cohort study protocol

Introduction: recent evidence suggests that ethnic minority groups are disproportionately at increased risk of hospitalisation and death from SARS-CoV-2 infection. Population-based evidence on potential explanatory factors across minority groups and within subgroups is lacking. This study aims to quantify the association between ethnicity and the risk of hospitalisation and mortality due to COVID-19. 

Methods and analysis: this is a retrospective cohort study of adults registered across a representative and anonymised national primary care database (QResearch) that includes data on 10 million people in England. Sociodemographic, deprivation, clinical and domicile characteristics will be summarised and compared across ethnic subgroups (categorised as per 2011 census). Cox models will be used to calculate HR for hospitalisation and COVID-19 mortality associated with ethnic group. Potential confounding and explanatory factors (such as demographic, socioeconomic and clinical) will be adjusted for within regression models. The percentage contribution of distinct risk factor classes to the excess risks seen in ethnic groups/subgroups will be calculated. Ethics and dissemination The study has undergone ethics review in accordance with the QResearch agreement (reference OX102). Findings will be disseminated through peer-reviewed manuscripts, presentations at scientific meetings and conferences with national and international stakeholders.

Adult, COVID-19/ethnology, England/epidemiology, Ethnic Groups, Humans, Minority Groups, Retrospective Studies
2044-6055
e045286
Dambha-Miller, Hajira
58961db5-31aa-460e-9394-08590c4b7ba1
Tan, Pui San
66f64b43-84a2-4362-afdd-f68e410f6571
Saatci, Defne
21cdc621-8420-4437-8f3e-1e41cf4ebf5b
Clift, Ashley Kieran
cd174dd3-ed3a-46c4-bf08-0471b333901e
Zaccardi, Francesco
8d31a980-3db1-4477-9514-c18087cf886a
Coupland, Carol
5d123e7a-f406-4d6b-a09d-2e019de3686f
Locufier, Patrick
c9cd6d34-ba45-402e-8d3d-302a27898345
Davies, Firoza
dfbad70e-7928-4b1c-a26d-9a10281b8833
Khunti, Kamlesh
3e64e5f4-0cc9-4524-aa98-3c74c25101c3
Griffin, Simon J.
1f8d5095-3c10-4973-a2c4-84ce6415d118
Hippisley-Cox, Julia
ffe3b07c-6ca2-4487-b69b-6ea2b039ab13
Dambha-Miller, Hajira
58961db5-31aa-460e-9394-08590c4b7ba1
Tan, Pui San
66f64b43-84a2-4362-afdd-f68e410f6571
Saatci, Defne
21cdc621-8420-4437-8f3e-1e41cf4ebf5b
Clift, Ashley Kieran
cd174dd3-ed3a-46c4-bf08-0471b333901e
Zaccardi, Francesco
8d31a980-3db1-4477-9514-c18087cf886a
Coupland, Carol
5d123e7a-f406-4d6b-a09d-2e019de3686f
Locufier, Patrick
c9cd6d34-ba45-402e-8d3d-302a27898345
Davies, Firoza
dfbad70e-7928-4b1c-a26d-9a10281b8833
Khunti, Kamlesh
3e64e5f4-0cc9-4524-aa98-3c74c25101c3
Griffin, Simon J.
1f8d5095-3c10-4973-a2c4-84ce6415d118
Hippisley-Cox, Julia
ffe3b07c-6ca2-4487-b69b-6ea2b039ab13

Dambha-Miller, Hajira, Tan, Pui San, Saatci, Defne, Clift, Ashley Kieran, Zaccardi, Francesco, Coupland, Carol, Locufier, Patrick, Davies, Firoza, Khunti, Kamlesh, Griffin, Simon J. and Hippisley-Cox, Julia (2021) Quantifying the association between ethnicity and COVID-19 mortality: a national cohort study protocol. BMJ Open, 11 (4), e045286. (doi:10.1136/bmjopen-2020-045286).

Record type: Article

Abstract

Introduction: recent evidence suggests that ethnic minority groups are disproportionately at increased risk of hospitalisation and death from SARS-CoV-2 infection. Population-based evidence on potential explanatory factors across minority groups and within subgroups is lacking. This study aims to quantify the association between ethnicity and the risk of hospitalisation and mortality due to COVID-19. 

Methods and analysis: this is a retrospective cohort study of adults registered across a representative and anonymised national primary care database (QResearch) that includes data on 10 million people in England. Sociodemographic, deprivation, clinical and domicile characteristics will be summarised and compared across ethnic subgroups (categorised as per 2011 census). Cox models will be used to calculate HR for hospitalisation and COVID-19 mortality associated with ethnic group. Potential confounding and explanatory factors (such as demographic, socioeconomic and clinical) will be adjusted for within regression models. The percentage contribution of distinct risk factor classes to the excess risks seen in ethnic groups/subgroups will be calculated. Ethics and dissemination The study has undergone ethics review in accordance with the QResearch agreement (reference OX102). Findings will be disseminated through peer-reviewed manuscripts, presentations at scientific meetings and conferences with national and international stakeholders.

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Published date: 7 April 2021
Additional Information: Funding Information: This work is funded by an MRC grant (MR/V027778/1). SJG is supported by an MRC Epidemiology Unit programme (MC_UU_12015/4). The University of Cambridge has received salary support in respect of SJG from the NHS in the East of England through the Clinical Academic Reserve. HD-M is a National Institute for Health Research (NIHR)-funded Academic Clinical Lecturer. JH-C receives support from the NHS and the NIHR and various research councils. KK and FZ are supported by the NIHR Applied Research Collaboration East Midlands (ARC EM) and the NIHR Leicester Biomedical Research Centre (BRC). The views and opinions expressed by authors in this publication are those of the authors and do not necessarily reflect those of the UK NIHR or the Department of Health and Social Care. Publisher Copyright: © Author(s) (or their employer(s)) 2021. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
Keywords: Adult, COVID-19/ethnology, England/epidemiology, Ethnic Groups, Humans, Minority Groups, Retrospective Studies

Identifiers

Local EPrints ID: 450685
URI: http://eprints.soton.ac.uk/id/eprint/450685
ISSN: 2044-6055
PURE UUID: 3b3b1ce7-52b3-499d-aff6-0089fc37a393
ORCID for Hajira Dambha-Miller: ORCID iD orcid.org/0000-0003-0175-443X

Catalogue record

Date deposited: 06 Aug 2021 16:31
Last modified: 18 Mar 2024 03:50

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Contributors

Author: Pui San Tan
Author: Defne Saatci
Author: Ashley Kieran Clift
Author: Francesco Zaccardi
Author: Carol Coupland
Author: Patrick Locufier
Author: Firoza Davies
Author: Kamlesh Khunti
Author: Simon J. Griffin
Author: Julia Hippisley-Cox

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