COVID-19 Vaccination Uptake in Belgium : Sociodemographic and Socioeconomic Disparities

NCT ID: NCT05373420

Last Updated: 2022-06-03

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

5341584 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-12-28

Study Completion Date

2021-08-31

Brief Summary

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In January 2021, the vaccination campaign against coronavirus disease 2019 (COVID-19) started in Belgium. The vaccination campaign was conducted in several phases, with the first phase targeting priority groups starting in January 2021. The second phase began in June 2021 with the invitation of everyone aged 18 years and older before extending access to 12 years and older from summer 2021. Children aged 5-11 were also invited for vaccination from December 2021 onwards.

The presence of a social gradient in COVID-19 infections and subsequent outcomes has been clearly demonstrated. Individuals from lower socioeconomic groups, for example with lower income, lower education level or unemployed are more likely to be infected by the SARS-CoV-2 and to develop severe complications after the infection such as hospitalization, ICU admission or death. Certain sociodemographic characteristics such as male gender, older age, living in crowded households, or belonging to ethnic/racial minorities are also associated with a higher risk of COVID-19 infection and severe outcomes. In addition to disparities in infection, hospitalization and mortality, some studies have also documented a lower COVID-19 vaccination coverage among people from disadvantaged socioeconomic groups during COVID-19 pandemic.

Despite widespread vaccine promotion efforts and the fact that Belgium has the 7th highest full vaccine coverage in the European Union (89% of people over 18 years old had completed their primary course of vaccination on 08 April 2022), concerns regarding vaccine equity remain. Vaccine uptake depends on a range of factors, including the socio-cultural environment, pre-existing health needs and individual choice. Identifying differences in vaccination between population groups is crucial to assess the effectiveness of the vaccination strategy in Belgium and its relationship to the further spread of COVID-19.

The objective is to identify whether vaccination coverage has been equitable across Belgium and, if not, which groups of individuals are less likely to be covered by the COVID-19 vaccine, with respect to their sociodemographic (SD) and socioeconomic (SE) characteristics.

This study therefore aims to highlight SD and SE disparities in the uptake of the first dose of COVID-19 vaccine in Belgium among people of 18 years and over.

Detailed Description

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1. Study design and data sources

In this retrospective cohort study, the investigators aimed to unravel SE and SD disparities in the uptake of the first COVID-19 vaccine dose using data from the LINK-VACC project. This project was launched by Sciensano, the institute legally responsible for the surveillance of infectious diseases in Belgium (Royal Decree of 21/03/2018), to perform the post-authorization surveillance of COVID-19 vaccines in Belgium.

To that aim, selected variables from multiple existing national health and social sector registries were linked at an individual level using the unique Belgian social security number. The databases were linked within a pseudonymised environment hosted by Healthdata.be of Sciensano. For the present study, four databases were used :
* Vaccinnet+, the Belgian vaccine registry, which contains information on all COVID-19 vaccine doses administrated in Belgium. It includes demographical data of the vaccinated person (sex, age, postal code of residence), as well as data on the vaccinator (type (person or organization) and postal code) and on the administrated vaccine (brand of the vaccine, lot number, date of administration, date of registration).
* The COVID-19 Healthdata database containing data from COVID-19 laboratory tests performed in Belgium (data of sampling and test result).
* The STATBEL database provided by the Belgian Statistical Institute which contains variables related to socioeconomic and sociodemographic characteristics.
* The Common Base Registry for HealthCare Actor (CoBRHA) allowing the identification (by profession and specialty) of people who have been licensed to practice a healthcare profession in Belgium.
2. Cohort definition

The population of interest includes all individuals of 18 years and older tested for COVID-19 at least once in Belgium until the 31st of August 2021 (which is the date of linkage between STATBEL, Vaccinnet+ and the COVID-19 Healthdata database) for whom SD and SE information from STATBEL database was available.

The cohort is built from Vaccinnet+ and the COVID-19 Healthdata database which includes all doses of vaccines administered and PCR and rapid antigenic tests performed in Belgium, respectively. As of 31 August 2021, 10 475 908 individuals had been tested and/or vaccinated at least once in Belgium according to Vaccinnet+ and the COVID-19 Healthdata database. On January 1, 2021, the official Belgian population included 11 521 238 inhabitants, demonstrating a high coverage of the total Belgian population by these two data sources (90.92%).

The relevant SE and SD variables were then included after linking with STATBEL database based on the individual national identification number. The data source available from STATBEL contains SE and SD information for 10 309 300/10 475 908 individuals registered at least once either in Vaccinnet+ from 28 December 2020 to 31 August 2021 or in the COVID-19 Healthdata database before 31 August 2021, corresponding to a linkage rate of 98.41%. Information on the healthcare license available in CoBRHA were then added. After these linkages, people who were deregistered, migrated and deceased based on their status in the national registry were excluded. People whose age, region or gender were unknown were also excluded.

In order to be able to compare vaccination rate according to each SE and SD indicators, the investigators included only individuals tested before 31 August 2021 since it is the date of linkage between Vaccinnet+, COVID-19 Healthdata database and STATBEL. Finally, individuals under 18 years of age were excluded as they were considered as a group in their own right in the vaccination strategy by being vaccinated the latest in a separate phase of the vaccination campaign.

The final cohort for this study is therefore composed of 5 341 584 individuals of 18 years and over tested in Belgium until the 31st of August 2021.
3. Outcome The outcome variable, provided by Vaccinnet+, is the uptake of the first dose of COVID-19 vaccine until the 31st of August 2021. The investigators considered that, at this date, all individuals over 18 years of age had received an invitation to be vaccinated with the first dose and had the opportunity to receive this dose of vaccine in Belgium.

Conditions

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COVID-19

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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All individuals tested for COVID-19 in Belgium

All individuals of 18 years old and over tested for COVID-19 at least once in Belgium until the 31st of August 2021

Education level

Intervention Type OTHER

Educational level was classified using the International Standard Classification of Education (ISCED) : ISCED0 (less than primary education), ISCED1 (primary education), ISCED2 (lower secondary school), ISCED3 (upper secondary school), ISCED4 (post-secondary non tertiary education), ISCED5 (short-cycle tertiary education), ISCED6 (bachelor's or equivalent level), ISCED7 (master's or equivalent level), ISCED8 (doctoral or equivalent level). We merged these different categories into three main education level : low (ISCED0 to ISCED2), middle (ISCED3 to ISCED4) and high (ISCED5 to ISCED 8). This information is provided by STATBEL.

Household net income

Intervention Type OTHER

Income information is available as deciles of the net income of the whole household. This indicator is further categorized into low income (deciles 1 to 4), middle income (deciles 5 to 7), and high income (deciles 8 to 10). This information is provided by STATBEL.

Gender

Intervention Type OTHER

Male or female. This variable is obtained from the Belgian national registry.

Migration background

Intervention Type OTHER

Migration background is based on the first nationality and the parents' country of origin. This variable distinguishes between native-born individuals, second-generation migrants, first-generation European migrants, and first-generation non-European migrants. This information is provided by STATBEL.

Household type

Intervention Type OTHER

Household type provides a partial picture of the social environment and is distinguished between one person, couples, couples with children, single parents, other, collectivity (prison, nursing homes, religious community, etc.). This information is provided by STATBEL.

Health literacy

Intervention Type OTHER

Having a health care degree is used as a proxy for health literacy and is provided by CoBRHA. The scientific and medical background can lead to more preventive and responsible behaviors towards infectious diseases. Moreover, being a health professional can lead to the need to protect patients and themselves against infections, without necessarily having very advanced knowledge of infectious diseases and vaccines.

Interventions

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Education level

Educational level was classified using the International Standard Classification of Education (ISCED) : ISCED0 (less than primary education), ISCED1 (primary education), ISCED2 (lower secondary school), ISCED3 (upper secondary school), ISCED4 (post-secondary non tertiary education), ISCED5 (short-cycle tertiary education), ISCED6 (bachelor's or equivalent level), ISCED7 (master's or equivalent level), ISCED8 (doctoral or equivalent level). We merged these different categories into three main education level : low (ISCED0 to ISCED2), middle (ISCED3 to ISCED4) and high (ISCED5 to ISCED 8). This information is provided by STATBEL.

Intervention Type OTHER

Household net income

Income information is available as deciles of the net income of the whole household. This indicator is further categorized into low income (deciles 1 to 4), middle income (deciles 5 to 7), and high income (deciles 8 to 10). This information is provided by STATBEL.

Intervention Type OTHER

Gender

Male or female. This variable is obtained from the Belgian national registry.

Intervention Type OTHER

Migration background

Migration background is based on the first nationality and the parents' country of origin. This variable distinguishes between native-born individuals, second-generation migrants, first-generation European migrants, and first-generation non-European migrants. This information is provided by STATBEL.

Intervention Type OTHER

Household type

Household type provides a partial picture of the social environment and is distinguished between one person, couples, couples with children, single parents, other, collectivity (prison, nursing homes, religious community, etc.). This information is provided by STATBEL.

Intervention Type OTHER

Health literacy

Having a health care degree is used as a proxy for health literacy and is provided by CoBRHA. The scientific and medical background can lead to more preventive and responsible behaviors towards infectious diseases. Moreover, being a health professional can lead to the need to protect patients and themselves against infections, without necessarily having very advanced knowledge of infectious diseases and vaccines.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Tested at least once in Belgium before 31 August 2021

Exclusion Criteria

* people with a national registry status equivalent to deceased
* people with a national registry status equivalent to migrated
* people with a national registry status equivalent to deregistered
* people with an unknown age
* people with an unknown gender
* people with an unknown region
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Sciensano

OTHER_GOV

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Lucy LC Catteau, PhD

Role: PRINCIPAL_INVESTIGATOR

Sciensano

Locations

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Lisa Cavillot

Brussels, , Belgium

Site Status

Countries

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Belgium

Related Links

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http://www.info-coronavirus.be/fr/vaccination/

Vaccination \| Coronavirus COVID-19

https://covid-19.sciensano.be/sites/default/files/Covid19/COVID-19_THEMATIC_REPORT_VaccineCoverageAndImpactReport_FR.pdf

COUVERTURE VACCINALE ET IMPACT ÉPIDÉMIOLOGIQUE DE LA CAMPAGNE DE VACCINATION COVID-19 EN BELGIQUE

http://pubmed.ncbi.nlm.nih.gov/33285500/

Association of race, ethnicity, and community-level factors with COVID-19 cases and deaths across U.S. counties

https://pubmed.ncbi.nlm.nih.gov/32853056/

Community-Level Factors Associated With Racial And Ethnic Disparities In COVID-19 Rates In Massachusetts

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411251/

Social Determinants of COVID-19 in Massachusetts, United States: An Ecological Study

https://pubmed.ncbi.nlm.nih.gov/33204755/

Derivation and Validation of Clinical Prediction Rules for COVID-19 Mortality in Ontario, Canada

https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-020-09490-y

COVID-19 clinical outcomes and nationality: results from a Nationwide registry in Kuwait

https://pubmed.ncbi.nlm.nih.gov/33566110/

Factors Associated With Racial Differences in Deaths Among Nursing Home Residents With COVID-19 Infection in the US

https://pubmed.ncbi.nlm.nih.gov/33743216/

COVID-19 fatality in Mexico's indigenous populations

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7575091/

Variation in racial/ethnic disparities in COVID-19 mortality by age in the United States: A cross-sectional study

https://pubmed.ncbi.nlm.nih.gov/33349855/

Ethnic-minority groups in England and Wales-factors associated with the size and timing of elevated COVID-19 mortality: a retrospective cohort study linking census and death records

https://covid19lab.healthdata.be/data-providers/laboratories

Laboratories \| Database COVID-19 TestResults

https://researchportal.vub.be/en/publications/are-we-really-all-in-this-together-the-social-patterning-of-morta

Are we really all in this together? The social patterning of mortality during the first wave of the COVID-19 pandemic in Belgium

https://pubmed.ncbi.nlm.nih.gov/26751238/

Health literacy and infectious diseases: why does it matter?

https://pubmed.ncbi.nlm.nih.gov/33478623/

Attitudes of healthcare workers towards COVID-19 vaccination: a survey in France and French-speaking parts of Belgium and Canada, 2020

https://pubmed.ncbi.nlm.nih.gov/33546165/

COVID-19 Vaccine Acceptance among Health Care Workers in the United States

https://www.frontiersin.org/article/10.3389/fpubh.2021.709056

COVID-19 Vaccination Acceptance Among Healthcare Workers and Non-healthcare Workers in China: A Survey. Frontiers in Public Health

https://www.sciensano.be/en/biblio/conceptual-causal-framework-assess-effect-sars-cov-2-variants-covid-19-disease-severity-among

Conceptual causal framework to assess the effect of SARS-CoV-2 variants on COVID-19 disease severity among hospitalized patients

Other Identifiers

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B.U.N. 1432020000371

Identifier Type: -

Identifier Source: org_study_id

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