tetano
Editor, Senior Moderator
PLoS One
. 2025 May 16;20(5):e0322881.
doi: 10.1371/journal.pone.0322881. eCollection 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
Marine Paridans[SUP] 1 [/SUP], Nadia Dardenne[SUP] 1 [/SUP], Nicolas Gillain[SUP] 1 [/SUP], Eddy Husson[SUP] 1 [/SUP], Christelle Meuris[SUP] 2 [/SUP], Gilles Darcis[SUP] 2 [/SUP], Michel Moutschen[SUP] 2 [/SUP], Claude Saegerman[SUP] 3 [/SUP], Laurent Gillet[SUP] 4 [/SUP], Fabrice Bureau[SUP] 5 [/SUP], Anne-Françoise Donneau[SUP] 1 [/SUP], Michèle Guillaume[SUP] 1 [/SUP], Benoit Pétré[SUP] 1 [/SUP]
Affiliations
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.
. 2025 May 16;20(5):e0322881.
doi: 10.1371/journal.pone.0322881. eCollection 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
Marine Paridans[SUP] 1 [/SUP], Nadia Dardenne[SUP] 1 [/SUP], Nicolas Gillain[SUP] 1 [/SUP], Eddy Husson[SUP] 1 [/SUP], Christelle Meuris[SUP] 2 [/SUP], Gilles Darcis[SUP] 2 [/SUP], Michel Moutschen[SUP] 2 [/SUP], Claude Saegerman[SUP] 3 [/SUP], Laurent Gillet[SUP] 4 [/SUP], Fabrice Bureau[SUP] 5 [/SUP], Anne-Françoise Donneau[SUP] 1 [/SUP], Michèle Guillaume[SUP] 1 [/SUP], Benoit Pétré[SUP] 1 [/SUP]
Affiliations
- PMID: 40378171
- PMCID: PMC12083829
- DOI: 10.1371/journal.pone.0322881
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.