Literature DB >> 22784583

Using a theoretical framework to determine adults' intention to vaccinate against pandemic swine flu in priority groups in the UK.

L B Myers1, R Goodwin2.   

Abstract

BACKGROUND: Vaccination is key in controlling influenza pandemics. Ways of identifying determinants that influence the decision to be vaccinated need to be understood in order to optimize vaccination rates. Therefore, this study aimed to predict intention to be vaccinated against swine flu in priority groups in the UK. An extension of the Theory of Planned Behaviour (TPB) provided the theoretical framework for the study.
METHODS: The study population consisted of 134 adults from the UK who were in vaccination priority groups, either because they were healthcare professionals or in 'other' vaccination priority groups (e.g. due to having a chronic illness, being pregnant). Data were collected from 30 October 2009 (just after the swine flu vaccine became available in the UK) until 31 December 2009. The main outcome of interest was intention to be vaccinated against swine flu.
RESULTS: Overall, intention was not high. Healthcare professionals were less likely to intend to be vaccinated compared with other priority groups. The theoretical framework was a powerful predictor of intention, explaining 70% of the variance in intention. The most important parts of the model were the demographic variables and original TPB which explained 66% of the variance in intention, with other variables (extended TPB/Health Belief Model) accounting for an extra 4% of the variance in intention. This is in contrast to results from the general population.
CONCLUSIONS: The study results provide a useful framework on which to base future interventions for improving uptake of pandemic flu vaccination. These interventions need to be targeted at specific groups given the different results of the priority groups compared with the general population.
Copyright © 2012 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22784583     DOI: 10.1016/j.puhe.2012.05.024

Source DB:  PubMed          Journal:  Public Health        ISSN: 0033-3506            Impact factor:   2.427


  10 in total

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2.  Using the Health Belief Model to examine travelers' willingness to vaccinate and support for vaccination requirements prior to travel.

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3.  Using the integrative model of behavioural prediction to understand COVID-19 vaccine hesitancy behaviour.

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4.  Public preferences for vaccination and antiviral medicines under different pandemic flu outbreak scenarios.

Authors:  Helena Rubinstein; Afrodita Marcu; Lucy Yardley; Susan Michie
Journal:  BMC Public Health       Date:  2015-02-27       Impact factor: 3.295

5.  Application of Behavioral Theories to Disaster and Emergency Health Preparedness: A Systematic Review.

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Review 6.  Barriers of Influenza Vaccination Intention and Behavior - A Systematic Review of Influenza Vaccine Hesitancy, 2005 - 2016.

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7.  Management of respiratory tract infections in young children-A qualitative study of primary care providers' perspectives.

Authors:  Ruby Biezen; Bianca Brijnath; Danilla Grando; Danielle Mazza
Journal:  NPJ Prim Care Respir Med       Date:  2017-03-07       Impact factor: 2.871

8.  Sociodemographic and psychological determinants of influenza vaccine intention among recipients of autologous and allogeneic haematopoietic stem cell transplant: a cross-sectional survey of UK transplant recipients using a modified health belief model.

Authors:  Paul D E Miller; Alice S Forster; Thushan I de Silva; Hayley Leonard; Chloe Anthias; Michaela Mayhew; Matthias Klammer; Susan Paskar; Erin Hurst; Karl Peggs; Alejandro Madrigal; John A Snowden
Journal:  BMJ Open       Date:  2018-08-08       Impact factor: 2.692

9.  Predicting intention to receive COVID-19 vaccine among the general population using the health belief model and the theory of planned behavior model.

Authors:  Liora Shmueli
Journal:  BMC Public Health       Date:  2021-04-26       Impact factor: 3.295

10.  Attitudes towards social distancing in response to COVID-19.

Authors:  Valerie S Matthews; Anjel Stough-Hunter; John M Marazita
Journal:  Public Health Nurs       Date:  2021-08-07       Impact factor: 1.770

  10 in total

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