Download
12889_2024_Article_18674.pdf 2,41MB
WeightNameValue
1000 Titel
  • Exploring pre-pandemic patterns of vaccine decision-making with the 5C model: results from representative surveys in 2016 and 2018
1000 Autor/in
  1. Eitze, Sarah |
  2. Felgendreff, Lisa |
  3. Horstkötter, Nina |
  4. Seefeld, Linda |
  5. Betsch, Cornelia |
1000 Verlag BioMed Central
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-04-30
1000 Erschienen in
1000 Quellenangabe
  • 24(1):1205
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12889-024-18674-9 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11061918/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>The 5C psychological antecedents of vaccination (Confidence, Complacency, Constraints, Calculation, and Collective Responsibility) facilitate understanding vaccination decisions in specific target groups as well as the general public’s informational needs. This study aims to explain pre-pandemic vaccination behaviour (a) in general, (b) for specific vaccines such as influenza, and (c) for certain target groups (e.g. people over the age of 59 years, parents, healthcare workers), using the 5C model and sociodemographic variables. The intention to get an influenza vaccination was also analysed for target groups.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>The 5C, self-reported vaccination behaviour and the intention to vaccinate were collected in two representative telephone surveys in Germany – one in 2016 (n<jats:sub>1</jats:sub> = 5,012) and another in 2018 (n<jats:sub>2</jats:sub> = 5,054). Parents, people over the age of 59 years, chronically ill people, people with a migratory background, pregnant women and healthcare workers were target groups.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>Overall, the 5C model had higher explanatory power than sociodemographic variables. The pattern of vaccine hesitancy slightly differed between vaccinations and target groups. Confidence in safety and effectiveness was always a significant predictor. Complacency (the underestimation of disease risks) and Constraints were significant predictors as well. Calculation (of risks and benefits) was important for influenza vaccination intentions.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>This work builds an important benchmark for understanding potential changes in vaccine acceptance due to the pandemic. The benchmark can be used in research on potential effects of the pandemic on vaccination behaviours. Intervention designers can also use the results to understand specific audiences and their vaccination decisions.</jats:p> </jats:sec>
1000 Sacherschließung
lokal Surveys and Questionnaires [MeSH]
lokal Aged [MeSH]
lokal Vaccination/psychology [MeSH]
lokal Pandemics/prevention
lokal Vaccination Hesitancy/psychology [MeSH]
lokal Influenza Vaccines/administration
lokal Health decision-making
lokal Vaccination Hesitancy/statistics
lokal Male [MeSH]
lokal Vaccine hesitancy
lokal Intention [MeSH]
lokal Decision Making [MeSH]
lokal Adolescent [MeSH]
lokal Female [MeSH]
lokal Adult [MeSH]
lokal Humans [MeSH]
lokal Middle Aged [MeSH]
lokal Influenza, Human/prevention
lokal Vaccination behaviour
lokal 5C model
lokal Research
lokal Germany [MeSH]
lokal Vaccination/statistics
lokal Young Adult [MeSH]
lokal Vaccination intentions
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-6542-9359|https://frl.publisso.de/adhoc/uri/RmVsZ2VuZHJlZmYsIExpc2E=|https://frl.publisso.de/adhoc/uri/SG9yc3Rrw7Z0dGVyLCBOaW5h|https://frl.publisso.de/adhoc/uri/U2VlZmVsZCwgTGluZGE=|https://frl.publisso.de/adhoc/uri/QmV0c2NoLCBDb3JuZWxpYQ==
1000 Hinweis
  • DeepGreen-ID: 9ae306db20fb46a9a741949ee59d0a46 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Bundeszentrale für gesundheitliche Aufklärung |
  2. Universität Erfurt |
1000 Fördernummer
  1. -
  2. -
1000 Förderprogramm
  1. -
  2. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bundeszentrale für gesundheitliche Aufklärung |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Universität Erfurt |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6518651.rdf
1000 Erstellt am 2025-07-05T12:45:07.072+0200
1000 Erstellt von 322
1000 beschreibt frl:6518651
1000 Zuletzt bearbeitet 2025-08-15T20:44:11.662+0200
1000 Objekt bearb. Fri Aug 15 20:44:11 CEST 2025
1000 Vgl. frl:6518651
1000 Oai Id
  1. oai:frl.publisso.de:frl:6518651 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source