1. Using the Theory of Planned Behavior and Past Behavior to Explain the Intention to Receive a Seasonal Influenza Vaccine among Family Caregivers of People with Dementia
- Author
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Francesco Bruno, Paolo Abondio, Valentina Laganà, Rosanna Colao, Sabrina M. Curcio, Francesca Frangipane, Gianfranco Puccio, Raffaele Di Lorenzo, Amalia C. Bruni, and Raffaele Maletta
- Subjects
family caregivers ,dementia ,theory of planned behavior ,seasonal influenza ,vaccine hesitancy ,vaccination intentions ,Computer applications to medicine. Medical informatics ,R858-859.7 - Abstract
Older adults with dementia present an increased risk of mortality due to seasonal influenza. Despite concerning evidence, the influenza vaccination program has been unsuccessful, with low rates of uptake in Italian people ≥65 years. In addition, being vaccinated does not eliminate the risk of contracting a virus, especially by coming into close contact with other possibly unvaccinated people, such as family caregivers in the home environment. Therefore, the refusal of family caregivers to get vaccinated for seasonal influenza could have dire consequences for their relatives with dementia. The aims of this study were to investigate the predictive role of the Theory of Planned Behavior model (TPB) and past vaccination behavior on the intention to receive a seasonal influenza vaccine among family caregivers of people with dementia. Data were collected from seventy-one respondents during July–September 2021 using a cross-sectional web-based survey design. Results of hierarchical binary logistic regression showed that TPB (i.e., attitudes towards vaccination, subjective norms, and perceived behavioral control) explained 51.6% of the variance in intention to receive a seasonal influenza vaccine; past vaccination behavior increased this to 58.8%. In conclusion, past vaccination behavior and the theory of planned behavior variables effectively predict influenza vaccine willingness of family caregivers of people with dementia and should be targeted in vaccination campaigns.
- Published
- 2023
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