Evidence map›Paper›PMID 37113740›Full record

ArticleVaccine: X2023

Differences in non-positive intention to accept the COVID-19 booster vaccine between three countries in the cross-border region Meuse-Rhine Euroregion: The Netherlands, Belgium, and Germany.

Céline J A van Bilsen, Christina Stabourlos, Chrissy P B Moonen, Stephanie Brinkhues, Stefaan Demarest, Daniëlle A T Hanssen, Inge H M van Loo, Paul H M Savelkoul, Dirk Philippsen, Brigitte A M van der Zanden and 2 more

Open access · goldAbstract read
In one paragraph

Article in Vaccine: X, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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

12 authors at 4 institutions in 3 countries.

Céline J A van BilsenDepartment of Social Medicine, Maastricht University, Care and Public Health Research Institute (CAPHRI), Maastricht, the Netherlands.
Christina StabourlosDepartment of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
Chrissy P B MoonenDepartment of Social Medicine, Maastricht University, Care and Public Health Research Institute (CAPHRI), Maastricht, the Netherlands.
Stephanie BrinkhuesDepartment of Knowledge & Innovation, Public Health Service South Limburg, Heerlen, the Netherlands.
Stefaan DemarestDepartment of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
Daniëlle A T HanssenDepartment of Medical Microbiology, Infectious Diseases & Infection Prevention, Maastricht University Medical Center (MUMC+), Maastricht, the Netherlands.
Inge H M van LooDepartment of Medical Microbiology, Infectious Diseases & Infection Prevention, Maastricht University Medical Center (MUMC+), Maastricht, the Netherlands.
Paul H M SavelkoulDepartment of Medical Microbiology, Infectious Diseases & Infection Prevention, Maastricht University Medical Center (MUMC+), Maastricht, the Netherlands.
Dirk PhilippsenGesundheitsberichterstattung, Gesundheitsamt Düren, Düren, Germany.
Brigitte A M van der ZandenFoundation euPrevent, Heerlen, the Netherlands.
Nicole H T M Dukers-MuijrersDepartment of Sexual Health, Infectious Diseases, and Environmental Health, Public Health Service South Limburg, Heerlen, the Netherlands.
Christian J P A HoebeDepartment of Social Medicine, Maastricht University, Care and Public Health Research Institute (CAPHRI), Maastricht, the Netherlands.
GGD Zuid Limburg · NLMaastricht University · NLSciensano (Belgium) · BEGesundheitsamt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 booster vaccination has shown to add to the protection against infection with SARS-CoV2 and subsequent severe disease. This longitudinal cross-border study aimed to identify factors associated with COVID-19 booster vaccine intentions in an initially vaccinated adult population living in the Meuse-Rhine Euroregion (EMR; including the Netherlands, Belgium, and Germany) and differences between countries. Data collection took place in autumn of 2021 and consisted of online questionnaires sent to a random sample of the population based on governmental registries. Data from 3,319 fully and partially vaccinated adults were used to examine determinants of non-positive intention for a booster vaccination (i.e., uncertain or do not want), using multivariable logistic regression analyses weighted by age group, sex, and country. Compared to German residents, Dutch residents (OR = 2.4) and Belgian residents (OR = 1.4) were more likely to be uncertain or not want to receive a booster vaccine in September-October 2021. Factors independently associated with non-positive intention were female sex (OR = 1.6), absence of comorbidities (OR = 1.3), time since last vaccination less than 3 months ago for those fully vaccinated (OR = 1.6), being partially vaccinated (OR = 3.6), a negative experience with communication of COVID-19 measures (OR = 2.2), and regarding measures as ineffective (OR = 1.1). Results indicate that booster vaccine intentions differ between countries in the cross border Meuse-Rhine Euroregion. Non-positive intention for the booster vaccine is prevalent in all three countries of the EMR, but to a different extent, as shown in this study. Cross-border collaboration and sharing information and knowledge about vaccination strategies could play a role in limiting the impact of COVID-19.

Indexed as

COVID-19COVID-19 vaccinesIntentionLogistic modelsPandemicsSurveys and questionnaires

Identifiers

PMID37113740
PMCPMC10116119
OpenAlexW4366483893

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.