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Exploring pre-pandemic patterns of vaccine decision-making with the 5C model: results from representative surveys in 2016 and 2018.

Authors :
Eitze, Sarah
Felgendreff, Lisa
Horstkötter, Nina
Seefeld, Linda
Betsch, Cornelia
Source :
BMC Public Health; 4/30/2024, Vol. 24 Issue 1, p1-14, 14p
Publication Year :
2024

Abstract

Background: 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. Methods: The 5C, self-reported vaccination behaviour and the intention to vaccinate were collected in two representative telephone surveys in Germany – one in 2016 (n<subscript>1</subscript> = 5,012) and another in 2018 (n<subscript>2</subscript> = 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. Results: 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. Conclusions: 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14712458
Volume :
24
Issue :
1
Database :
Complementary Index
Journal :
BMC Public Health
Publication Type :
Academic Journal
Accession number :
177003911
Full Text :
https://doi.org/10.1186/s12889-024-18674-9