ArticleIrish journal of medical science2022
Segmentation of intentions towards COVID-19 vaccine acceptance through political and health behaviour explanatory models.
Article in Irish journal of medical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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Who cites it
6 citing papers in PubMed.
- COVID-19 and influenza vaccine-hesitancy subgroups.PloS one · 2024Article
- Article
- Review
- Models of determinants of COVID-19 vaccine hesitancy in non-pregnant and pregnant population: Review of current literature".Human vaccines & immunotherapeutics · 2022Review
- Predicting Vaccination Intention against COVID-19 Using Theory of Planned Behavior: A Systematic Review and Meta-Analysis.Vaccines · 2022Review
- Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundManagement of the COVID-19 pandemic has been plagued by an online 'infodemic', not least on the topic of vaccine safety. Failure to vaccinate is often addressed with corrective, factually based information. However, this may be overly simplistic. European vaccine hesitancy levels correlate closely with popularity of populist parties while scientific populism refers specifically to populist distrust in scientific expertise. AIMS AND
methodCombining an evaluation of risk through the health belief model and the cognitive constructs from the theory of planned behaviour, with the influence of populist statements, anticipated regret, trust, and past healthcare behaviour, an online survey explored the components of vaccine decisions amongst a demographically representative Irish adult sample (N = 1995).
resultsThe regression model accounted for a large proportion of variance amongst the total sample. A primary set of influences suggests a considered risk evaluative decision-making approach while a second tier of weaker influences incorporates a broader set of values beyond cost-benefit analysis. Six ideological subsets were identified through K-means analysis. Segments were differentiated by subjective norms attitudes (particularly around social media), populist political attitudes, self-efficacy, perceptions of COVID-19 severity, and susceptibility to the condition.
conclusionsWhile the 'right thing to do' is clear when viewed through a lens of scientific expert advice, this is precisely the paradigm which populist movement rejects. Segmentations, such as the outputs from this study, validate the importance of proactively engaging with diverse communities both on and offline and afford a framework for developing and evaluating more refined, targeted, policies and interventions.
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Registered trials
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.