Predicting Acceptance of COVID-19 Vaccination: Application of A Modified Health Belief Model

Sungeun Chung, Huijing Zhang, Youllee Kim

Research output: Contribution to journalArticlepeer-review

Abstract

Although the health belief model (HBM) is commonly used to predict preventive behaviors, previous research shows inconsistent results. To better predict vaccination intention against infectious disease, this study implemented Ronis’ (1992) modified HBM. In a survey of 266 participants, perceived risk (i.e., susceptibility and severity) under both action and inaction conditions, perceived benefits and costs of vaccination, self-efficacy for vaccination, and vaccination intention were measured to test the hypothesized model. Vaccination intention was negatively associated with action-conditional risk perceptions while positively associated with inaction-conditional risk perceptions. Furthermore, vaccination intention was positively associated with perceived benefits and self-efficacy, but negatively associated with perceived costs. Perceived benefits mediated the influence of action and inaction susceptibility on vaccination intention. The modified HBM explained the variance of vaccination intention to a high degree (R2 = .54), demonstrating its utility in predicting vaccination intention and designing targeted interventions to combat vaccine hesitancy.

Original languageEnglish
Pages (from-to)229-246
Number of pages18
JournalAsian Communication Research
Volume22
Issue number2
DOIs
StatePublished - Aug 2025

Keywords

  • COVID-19
  • health belief model
  • side-effects
  • vaccine acceptance
  • vaccine hesitancy

Fingerprint

Dive into the research topics of 'Predicting Acceptance of COVID-19 Vaccination: Application of A Modified Health Belief Model'. Together they form a unique fingerprint.

Cite this