Social inequalities and long-term health impact of COVID-19 in Belgium: protocol of the HELICON population data linkage.


Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
18 05 2023
Historique:
medline: 22 5 2023
pubmed: 19 5 2023
entrez: 18 5 2023
Statut: epublish

Résumé

Data linkage systems have proven to be a powerful tool in support of combating and managing the COVID-19 pandemic. However, the interoperability and the reuse of different data sources may pose a number of technical, administrative and data security challenges. This protocol aims to provide a case study for linking highly sensitive individual-level information. We describe the data linkages between health surveillance records and administrative data sources necessary to investigate social health inequalities and the long-term health impact of COVID-19 in Belgium. Data at the national institute for public health, Statistics Belgium and InterMutualistic Agency are used to develop a representative case-cohort study of 1.2 million randomly selected Belgians and 4.5 million Belgians with a confirmed COVID-19 diagnosis (PCR or antigen test), of which 108 211 are COVID-19 hospitalised patients (PCR or antigen test). Yearly updates are scheduled over a period of 4 years. The data set covers inpandemic and postpandemic health information between July 2020 and January 2026, as well as sociodemographic characteristics, socioeconomic indicators, healthcare use and related costs. Two main research questions will be addressed. First, can we identify socioeconomic and sociodemographic risk factors in COVID-19 testing, infection, hospitalisations and mortality? Second, what is the medium-term and long-term health impact of COVID-19 infections and hospitalisations? More specific objectives are (2a) To compare healthcare expenditure during and after a COVID-19 infection or hospitalisation; (2b) To investigate long-term health complications or premature mortality after a COVID-19 infection or hospitalisation; and (2c) To validate the administrative COVID-19 reimbursement nomenclature. The analysis plan includes the calculation of absolute and relative risks using survival analysis methods. This study involves human participants and was approved by Ghent University hospital ethics committee: reference B.U.N. 1432020000371 and the Belgian Information Security Committee: reference Beraadslaging nr. 22/014 van 11 January 2022, available via https://www.ehealth.fgov.be/ehealthplatform/file/view/AX54CWc4Fbc33iE1rY5a?filename=22-014-n034-HELICON-project.pdf. Dissemination activities include peer-reviewed publications, a webinar series and a project website.The pseudonymised data are derived from administrative and health sources. Acquiring informed consent would require extra information on the subjects. The research team is prohibited from gaining additional knowledge on the study subjects by the Belgian Information Security Committee's interpretation of the Belgian privacy framework.

Identifiants

pubmed: 37202131
pii: bmjopen-2022-069355
doi: 10.1136/bmjopen-2022-069355
pmc: PMC10200906
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e069355

Informations de copyright

© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Robby De Pauw (R)

Department of Epidemiology and Public Health, Sciensano, Brussel, Belgium.
Department of Rehabilitation Sciences, Ghent University, Gent, Belgium.

Laura Van den Borre (L)

Department of Epidemiology and Public Health, Sciensano, Brussel, Belgium laura.van.den.borre@vub.be.
Interface Demography, Vrije Universiteit Brussel (VUB), Brussels, Belgium.

Youri Baeyens (Y)

Statistics Belgium, Brussels, Belgium.

Lisa Cavillot (L)

Department of Epidemiology and Public Health, Sciensano, Brussel, Belgium.
Research Institute of Health and Society (IRSS), Catholic University of Louvain, Louvain-la-Neuve, Belgium.

Sylvie Gadeyne (S)

Interface Demography, Vrije Universiteit Brussel (VUB), Brussels, Belgium.

Jinane Ghattas (J)

Research Institute of Health and Society (IRSS), Catholic University of Louvain, Louvain-la-Neuve, Belgium.

Delphine De Smedt (D)

Department of Public Health, Ghent University, Gent, Belgium.

David Jaminé (D)

Intermutualistic Agency, Brussels, Belgium.

Yasmine Khan (Y)

Interface Demography, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Department of Public Health, Ghent University, Gent, Belgium.

Patrick Lusyne (P)

Statistics Belgium, Brussels, Belgium.

Niko Speybroeck (N)

Research Institute of Health and Society (IRSS), Catholic University of Louvain, Louvain-la-Neuve, Belgium.

Judith Racape (J)

School of Public Health, Universite Libre de Bruxelles - Campus Erasme, Bruxelles, Belgium.
Groupe de Recherche sur les Relations Ethniques, les Migrations et l'Egalité, Université Libre de Bruxelles, Bruxelles, Belgium.

Andrea Rea (A)

Groupe de Recherche sur les Relations Ethniques, les Migrations et l'Egalité, Université Libre de Bruxelles, Bruxelles, Belgium.

Dieter Van Cauteren (D)

Department of Epidemiology and Public Health, Sciensano, Brussel, Belgium.

Sophie Vandepitte (S)

Department of Public Health, Ghent University, Gent, Belgium.

Katrien Vanthomme (K)

Interface Demography, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Department of Public Health, Ghent University, Gent, Belgium.

Brecht Devleesschauwer (B)

Department of Epidemiology and Public Health, Sciensano, Brussel, Belgium.
Department of Translational Physiology, Infectiology and Public health, Ghent University, Merelbeke, Belgium.

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