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Article Dans Une Revue Scientific Reports Année : 2023

Psychometric validation of a 7C-model of antecedents of vaccine acceptance among healthcare workers, parents and adolescents in France

Résumé

Support for vaccine decision-making requires a tailored approach taking into account psychological antecedents of vaccine acceptance. We aimed at validating an extended 7C-model of antecedents in three different target population groups (healthcare workers [n = 3870], parents [n = 2002] and adolescents [n = 7118]) and two vaccinations (COVID-19, HPV) in France. We performed a secondary analysis of questionnaires collecting sociodemographic characteristics, attitudes and knowledge on vaccination, and vaccine status and intention. We used standard psychometric techniques to validate a first and second order latent structure, and evaluated their association with vaccine intentionality in three levels (refusal, indecision, acceptance). In all populations, the 7C-model yielded a very good model fit (CFI and TLI > 0.90) and, in comparison with non-nested and nested 5C-models, significantly improved the model performance (Ω 2 , p < 0.05; Wald’s test, p < 0.05). The resulting vaccine readiness score was strongly associated with vaccine intentionality (acceptance vs. indecision: β HCW = 2.93, β Parents = 2.41, β Adolescents = 1.34; refusal vs. indecision: β HCW = − 1.68, β Parents = − 0.16, β Adolescents = − 0.89.). The addition of confidence in the system and social conformism among antecedents of vaccine acceptance allowed a finer understanding of the continuum moving from refusal to indecision and acceptance. To work with these antecedents in interventional research, appropriate questionnaire items should be developed for various vaccines and target populations.
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hal-04287142 , version 1 (15-11-2023)

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Damien Oudin Doglioni, Amandine Gagneux-Brunon, Aurélie Gauchet, Sebastien Bruel, Cyril Olivier, et al.. Psychometric validation of a 7C-model of antecedents of vaccine acceptance among healthcare workers, parents and adolescents in France. Scientific Reports, 2023, 13 (1), pp.19895. ⟨10.1038/s41598-023-46864-9⟩. ⟨hal-04287142⟩
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