Evidence map›Paper›PMID 37202131›Full record

ArticleBMJ open2023

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

Robby De Pauw, Laura Van den Borre, Youri Baeyens, Lisa Cavillot, Sylvie Gadeyne, Jinane Ghattas, Delphine De Smedt, David Jaminé, Yasmine Khan, Patrick Lusyne and 7 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 37% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 3 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 7 institutions in 1 country.

Robby De Pauw *Department of Epidemiology and Public Health, Sciensano, Brussel, Belgium.
Laura Van den Borre *Department of Epidemiology and Public Health, Sciensano, Brussel, Belgium laura.van.den.borre@vub.be.ORCID 0000-0001-5709-3533
Youri BaeyensStatistics Belgium, Brussels, Belgium.
Lisa CavillotDepartment of Epidemiology and Public Health, Sciensano, Brussel, Belgium.
Sylvie GadeyneInterface Demography, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Jinane GhattasResearch Institute of Health and Society (IRSS), Catholic University of Louvain, Louvain-la-Neuve, Belgium.
Delphine De SmedtDepartment of Public Health, Ghent University, Gent, Belgium.
David JaminéIntermutualistic Agency, Brussels, Belgium.
Yasmine KhanInterface Demography, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Patrick LusyneStatistics Belgium, Brussels, Belgium.
Niko SpeybroeckResearch Institute of Health and Society (IRSS), Catholic University of Louvain, Louvain-la-Neuve, Belgium.
Judith RacapeSchool of Public Health, Universite Libre de Bruxelles - Campus Erasme, Bruxelles, Belgium.ORCID 0000-0002-1266-0191
Andrea ReaGroupe de Recherche sur les Relations Ethniques, les Migrations et l'Egalité, Université Libre de Bruxelles, Bruxelles, Belgium.
Dieter Van CauterenDepartment of Epidemiology and Public Health, Sciensano, Brussel, Belgium.
Sophie VandepitteDepartment of Public Health, Ghent University, Gent, Belgium.
Katrien VanthommeInterface Demography, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Brecht DevleesschauwerDepartment of Epidemiology and Public Health, Sciensano, Brussel, Belgium.
Ghent University · BEVrije Universiteit Brussel · BESciensano (Belgium) · BEStatistics Belgium · BEUCLouvain · BEUniversité Libre de Bruxelles · BEIntermutualist Agency · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionData 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. METHODS AND ANALYSIS: 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. ETHICS AND DISSEMINATION: 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.

Indexed as

COVID-19BelgiumCohort StudiesCOVID-19 TestingHumansPandemicsSARS-CoV-2COVID-19Health informaticsPublic healthSOCIAL MEDICINE

Identifiers

PMID37202131
PMCPMC10200906
OpenAlexW4377094716

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.