<?xml version="1.0" encoding="UTF-8" standalone="yes"?><items><item><type code="DSO/A01">Article (Scientific journals)</type><classification code="D22">Public health, health care sciences &amp; services</classification><asjc code="ASJC_1000">Multidisciplinary &gt; Multidisciplinary</asjc><access code="0">Open Access</access><review code="peerreviewedverifiedbyorbi">Peer Reviewed verified by ORBi</review><affil>Université de Liège - ULiège &gt; Département des sciences de la santé publique &gt; Education thérapeutique du patient au service des soins intégrés</affil><affil>Université de Liège - ULiège &gt; Département des sciences de la santé publique</affil><affil>Université de Liège - ULiège &gt; Département des sciences de la santé publique &gt; Santé publique : aspects spécifiques</affil><affil>Université de Liège - ULiège &gt; Département des sciences de la santé publique</affil><affil>Université de Liège - ULiège &gt; Département des sciences cliniques &gt; Immunopathologie - Maladies infectieuses et médecine interne générale</affil><affil>Université de Liège - ULiège &gt; Département des sciences cliniques &gt; Immunopathologie - Maladies infectieuses et médecine interne générale</affil><affil>Université de Liège - ULiège &gt; GIGA &gt; GIGA Immunobiology - Immunology &amp; Infectious Diseases</affil><affil>Université de Liège - ULiège &gt; Département des maladies infectieuses et parasitaires (DMI) &gt; Epidémiologie et analyse des risques appliqués aux sciences vétérinaires </affil><affil>Université de Liège - ULiège &gt; Département des maladies infectieuses et parasitaires (DMI) &gt; Vaccinologie vétérinaire</affil><affil>Université de Liège - ULiège &gt; GIGA &gt; GIGA Immunobiology - Cellular and Molecular Immunology</affil><affil>Université de Liège - ULiège &gt; Département des sciences de la santé publique</affil><affil>Université de Liège - ULiège &gt; Département des sciences de la santé publique &gt; Santé publique : aspects spécifiques</affil><affil>Université de Liège - ULiège &gt; Département des sciences de la santé publique &gt; Education thérapeutique du patient au service des soins intégrés</affil><author>Paridans, Marine</author><author>Dardenne, Nadia</author><author>Gillain, Nicolas</author><author>Husson, Eddy</author><author>Meuris, Christelle</author><author>Darcis, Gilles</author><author>Moutschen, Michel</author><author>Saegerman, Claude</author><author>Gillet, Laurent</author><author>Bureau, Fabrice</author><author>Donneau, Anne-Françoise</author><author>Guillaume, Michèle</author><author>Pétré, Benoît</author><subject>COVID-19 Vaccines</subject><subject>Universities</subject><subject>Adult</subject><subject>Cross-Sectional Studies</subject><subject>Intention</subject><subject>Surveys and Questionnaires</subject><subject>Young Adult</subject><subject>SARS-CoV-2</subject><subject>COVID-19/prevention &amp; control</subject><subject>COVID-19/psychology</subject><subject>Health Belief Model</subject><type_top_authority>DSO/A00</type_top_authority><orcid>0000-0002-8084-9359</orcid><orcid>0000-0001-5368-6059</orcid><orcid>0000-0001-9487-5139</orcid><orcid>0000-0001-8192-1351</orcid><orcid>0000-0002-6405-1785</orcid><orcid>0000-0001-9087-7436</orcid><orcid>0000-0002-1047-2525</orcid><orcid>0000-0002-5385-6289</orcid><orcid>0000-0002-5344-4401</orcid><abstract>[en] BACKGROUND: While many studies have used the Health Belief Model (HBM) to understand vaccine intention, none claim to have used serial mediation to understand the relationship between HBM dimensions and COVID-19 vaccine intention. This study developed a serial mediation model to assess the direct and indirect effects of the latent HBM dimensions on COVID-19 primary vaccine intention.
METHODS: A cross-sectional study: from 01 April to 10 June 2021, a self-administered online questionnaire on vaccine intention against COVID-19 was distributed to staff and students at the University of Liège (Belgium). Direct and indirect effects of the HBM dimensions (perceived susceptibility, severity, benefits, barriers, self-efficacy and cues to action) on vaccine intention (score 0-100) were assessed with serial mediation models. Actually, each permutation of the latent HBM dimensions, i.e., each causal chain, was assessed using partial least squares path modelling (PLS-PM) according to the order of the HBM dimensions in that particular chain.
RESULTS: The sample was made up of 1256 participants. The final model revealed that the causal chain with the lowest Bayesian Information Criterion (BIC) value was barriers (Effect estimation (CI95%): -0.09 (-0.15 - -0.03)) ↘ severity (-0.13 (-0.20 - -0.07)) ↘ low self-efficacy (0.20 (0.15-0.25)) ↘ low susceptibility (-0.55 (-0.60 - -0.51)) ↘ vaccine intention (outcome). This revealed a significant indirect and direct effect (-0.20 (-0.25 - -0.15)) between barriers and vaccine intention.
CONCLUSIONS: The results demonstrated that perceived barriers are a key determinant in COVID-19 primary vaccine intention. Public health practitioners need to prioritise messaging that addresses the barriers reducing vaccine intention to enable individuals to make an informed choice. These messages could form part of a mass communication campaign aimed at hesitant individuals, with evidence-based information about vaccine safety a priority in order to establish a climate of trust.</abstract><title>Removing barriers to COVID-19 vaccine intention in a university population: Results of a serial mediation study through the dimensions of the Health Belief Model.</title><classification_top_authority>D00</classification_top_authority><author_qualifier_filter>author</author_qualifier_filter><author_qualifier_filter>author</author_qualifier_filter><author_qualifier_filter>author</author_qualifier_filter><author_qualifier_filter>author</author_qualifier_filter><author_qualifier_filter>author</author_qualifier_filter><author_qualifier_filter>author</author_qualifier_filter><author_qualifier_filter>author</author_qualifier_filter><author_qualifier_filter>author</author_qualifier_filter><author_qualifier_filter>author</author_qualifier_filter><author_qualifier_filter>author</author_qualifier_filter><author_qualifier_filter>author</author_qualifier_filter><author_qualifier_filter>author</author_qualifier_filter><author_qualifier_filter>author</author_qualifier_filter><pubmed>40378171</pubmed><journal>PLoS ONE</journal><issn>1932-6203</issn><lang_authority>en</lang_authority><review>Peer Reviewed verified by ORBi</review><asjc_authority>ASJC_1000</asjc_authority><publisher>Public Library of Science (PLoS)</publisher><citation>Paridans, M.* , Dardenne, N.* , Gillain, N., Husson, E., Meuris, C., Darcis, G., Moutschen, M., Saegerman, C., Gillet, L., Bureau, F., Donneau, A.-F.* , Guillaume, M.* , &amp; Pétré, B.*. (2025). Removing barriers to COVID-19 vaccine intention in a university population: Results of a serial mediation study through the dimensions of the Health Belief Model. &lt;em&gt;PLoS ONE, 20&lt;/em&gt; (5), 0322881. doi:10.1371/journal.pone.0322881</citation><contributors><contributor>p208460</contributor><contributor>p011120</contributor><contributor>p004886</contributor><contributor>p003425</contributor><contributor>p010354</contributor><contributor>p014443</contributor><contributor>p001472</contributor><contributor>p004825</contributor><contributor>p003789</contributor><contributor>p003067</contributor><contributor>p004167</contributor><contributor>p002541</contributor><contributor>p022139</contributor></contributors><doi>10.1371/journal.pone.0322881</doi><format>application/pdf</format><handle>2268/333270</handle><lastModified>2025-06-25T13:29:59Z</lastModified><metrics><metric><type>openalex</type><value>1</value></metric><metric><type>OCI</type><value>0</value></metric></metrics><publicationDate>2025</publicationDate></item></items>