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Investigating COVID-19 Vaccine Uptake Intention Using an Integrated Model of Protection Motivation Theory and an Extended Version of the Theory of Planned Behavior. | LitMetric

AI Article Synopsis

  • The research explores factors influencing vaccination uptake behavior in the context of COVID-19, addressing issues like vaccination reluctance and stakeholder concerns.
  • The study employs protective motivation theory and an enhanced theory of planned behavior to analyze relationships between various factors (e.g., perceived vulnerability, attitude) and the intention to vaccinate.
  • Findings suggest that multiple factors positively affect vaccination intentions, highlighting the model's effectiveness and offering implications for improving COVID-19 vaccine promotion and future study directions.

Article Abstract

As global governments continue to inoculate populations in the aftermath of the SARS-CoV-19 epidemic, health protection and related problems such as vaccination reluctance have sparked conflicting emotions and discourses. Stakeholder concerns about vaccination promotion have arisen in this context. Consequently, this research investigates vaccination uptake behavior using an integrated framework that includes protective motivation theory and an extended version of the theory of planned behavior. Except for perceived severity, empirical study results based on the structural equation modeling technique demonstrated a positive relationship between PMT factors (i.e. perceived vulnerability, reaction efficacy, self-efficacy, and cost response) and intention to vaccinate. TPB factors (attitude, perceived behavior control, subjective norm, personal moral norm, and descriptive norm) were also found to have a positive connection with intention. The model's utility and suitability are indicated by the predictive and explanatory potency score (R = .415). Study implications for COVID-19 vaccine uptake promotion and ideas for future investigations are explored in light of our findings.

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Source
http://dx.doi.org/10.1080/10410236.2023.2201730DOI Listing

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