The Dynamic Relationship between the Intention and Final Decision for the COVID-19 Booster: A Study among Students and Staff at the University of Liège, Belgium.

COVID-19 academic population intention and final COVID-19 booster status prevention public health

Journal

Vaccines
ISSN: 2076-393X
Titre abrégé: Vaccines (Basel)
Pays: Switzerland
ID NLM: 101629355

Informations de publication

Date de publication:
06 Sep 2022
Historique:
received: 01 08 2022
revised: 31 08 2022
accepted: 02 09 2022
entrez: 23 9 2022
pubmed: 24 9 2022
medline: 24 9 2022
Statut: epublish

Résumé

While many studies have documented the intentions for the COVID-19 vaccine booster, few have explored the change from intention to final decision. This study explores the COVID-19 booster intentions and the change from intention to decision in a primo-vaccinated university population, with a distinction between staff members and students. It looks at the sociodemographic and medical characteristics, health literacy, personal COVID-19 infection and vaccination history, and attitudes/intentions regarding the booster, among the 1030 participants (64.4% staff members, 61.3% female, median age 36.0 years). Of the 8.7% who were initially hesitant, 72.7% ultimately got a booster and 27.3% did not. Another 84.2% intended to get a booster and 7.1% did not. Among the latter two groups, 88.9% maintained their intention and 11.1% changed their minds. The determinants associated with the intentions were health literacy and previous intentions regarding the COVID-19 primo-vaccination. The determinants associated with the change to non-vaccination were a previous COVID-19 infection, a past COVID-19 primo-vaccination intention, and a neutralizing antibody level. The results point to an opening for the support in decision-making, with a significant percentage of the study population potentially changing their mind between intention and final decision; this process should start early and be tailored to the individual's COVID-19 history. A personalized approach seems necessary in order to ensure that individuals make an informed choice.

Identifiants

pubmed: 36146562
pii: vaccines10091485
doi: 10.3390/vaccines10091485
pmc: PMC9501467
pii:
doi:

Types de publication

Journal Article

Langues

eng

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Marine Paridans (M)

Public Health Department, Liège University, 4000 Liège, Belgium.

Justine Monseur (J)

Biostatistics Unit-Public Health Department, Liège University, 4000 Liège, Belgium.

Anne-Françoise Donneau (AF)

Biostatistics Unit-Public Health Department, Liège University, 4000 Liège, Belgium.

Nicolas Gillain (N)

Public Health Department, Liège University, 4000 Liège, Belgium.
Biostatistics Unit-Public Health Department, Liège University, 4000 Liège, Belgium.

Eddy Husson (E)

Public Health Department, Liège University, 4000 Liège, Belgium.
Biostatistics Unit-Public Health Department, Liège University, 4000 Liège, Belgium.

Dieudonné Leclercq (D)

Public Health Department, Liège University, 4000 Liège, Belgium.

Christelle Meuris (C)

Infectious Diseases Department, Centre Hospitalier Universitaire de Liège, 4000 Liège, Belgium.

Gilles Darcis (G)

Infectious Diseases Department, Centre Hospitalier Universitaire de Liège, 4000 Liège, Belgium.

Michel Moutschen (M)

Infectious Diseases Department, Centre Hospitalier Universitaire de Liège, 4000 Liège, Belgium.

Claude Saegerman (C)

Fundamental and Applied Research for Animal and Health (FARAH) Center, Liège University, 4000 Liège, Belgium.

Laurent Gillet (L)

Laboratory of Immunology-Vaccinology, FARAH, Liège University, 4000 Liège, Belgium.

Fabrice Bureau (F)

Laboratory of Cellular and Molecular Immunology, GIGA Institute, Liège University, 4000 Liège, Belgium.

Michèle Guillaume (M)

Public Health Department, Liège University, 4000 Liège, Belgium.
Biostatistics Unit-Public Health Department, Liège University, 4000 Liège, Belgium.

Benoit Pétré (B)

Public Health Department, Liège University, 4000 Liège, Belgium.

Classifications MeSH