dc.contributor.author | Freeman, Daniel | |
dc.contributor.author | Waite, Felicity | |
dc.contributor.author | Rosebrock, Laina | |
dc.contributor.author | Jenner, Lucy | |
dc.contributor.author | Petit, Ariane | |
dc.date.accessioned | 2020-12-22T15:31:19Z | |
dc.date.available | 2020-12-22T15:31:19Z | |
dc.date.issued | 2020-12 | |
dc.identifier.citation | Daniel Freeman, Bao S. Loe, Andrew Chadwick, Cristian Vaccari , Felicity Waite, Laina Rosebrock, Lucy Jenner, Ariane Petit , Stephan Lewandowsky, Samantha Vanderslott , Stefania Innocenti, Michael Larkin, Alberto Giubilini, Ly-Mee Yu, Helen McShane, Andrew J. Pollard, Sinéad Lambe. COVID-19 Vaccine Hesitancy in the UK: The Oxford Coronavirus Explanations, Attitudes, and Narratives Survey (OCEANS) II. Psychol Med . 2020 Dec 11;1-34 | en |
dc.identifier.issn | 1469-8978 | |
dc.identifier.uri | https://oxfordhealth-nhs.archive.knowledgearc.net/handle/123456789/675 | |
dc.description | Available with an NHS OpenAthens log in | en |
dc.description.abstract | Background: Our aim was to estimate provisional willingness to receive a COVID-19 vaccine, identify
predictive socio-demographic factors, and, principally, determine potential causes in order to guide
information provision.
Methods: A non-probability online survey was conducted (24th September-17th October 2020) with
5,114 UK adults, quota sampled to match the population for age, gender, ethnicity, income, and
region. The Oxford COVID-19 Vaccine Hesitancy Scale assessed intent to take an approved vaccine.
Structural equation modelling estimated explanatory factor relationships.
Results: 71.7% (n=3,667) were willing to be vaccinated, 16.6% (n=849) were very unsure, and 11.7%
(n=598) were strongly hesitant. An excellent model fit (RMSEA=0.05/CFI=0.97/TLI=0.97), explaining
86% of variance in hesitancy, was provided by beliefs about the collective importance, efficacy, sideeffects, and speed of development of a COVID-19 vaccine. A second model, with reasonable fit
(RMSEA=0.03/CFI=0.93/TLI=0.92), explaining 32% of variance, highlighted two higher-order
explanatory factors: ‘excessive mistrust’ (r=0.51), including conspiracy beliefs, negative views of
doctors, and need for chaos, and ‘positive healthcare experiences’ (r=-0.48), including supportive
doctor interactions and good NHS care. Hesitancy was associated with younger age, female gender,
lower income, and ethnicity, but socio-demographic information explained little variance (9.8%).
Hesitancy was associated with lower adherence to social distancing guidelines.
Conclusions: COVID-19 vaccine hesitancy is relatively evenly spread across the population. Willingness
to take a vaccine is closely bound to recognition of the collective importance. Vaccine public
information that highlights prosocial benefits may be especially effective. Factors such as conspiracy
beliefs that foster mistrust and erode social cohesion will lower vaccine up-take. | en |
dc.description.sponsorship | Supported by the NIHR | en |
dc.description.uri | https://doi.org/10.1017/S0033291720005188 | en |
dc.language.iso | en | en |
dc.subject | COVID-19 | en |
dc.subject | Vaccine Hesitancy | en |
dc.title | COVID-19 Vaccine Hesitancy in the UK: The Oxford Coronavirus Explanations, Attitudes, and Narratives Survey (OCEANS) II | en |
dc.type | Article | en |