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COVID-19 vaccine hesitancy in the UK: the Oxford coronavirus explanations, attitudes, and narratives survey (Oceans) II.
Freeman, Daniel; Loe, Bao S; Chadwick, Andrew; Vaccari, Cristian; Waite, Felicity; Rosebrock, Laina; Jenner, Lucy; Petit, Ariane; Lewandowsky, Stephan; Vanderslott, Samantha; Innocenti, Stefania; Larkin, Michael; Giubilini, Alberto; Yu, Ly-Mee; McShane, Helen; Pollard, Andrew J; Lambe, Sinéad.
  • Freeman D; Department of Psychiatry, University of Oxford, Oxford, UK.
  • Loe BS; Oxford Health NHS Foundation Trust, Oxford, UK.
  • Chadwick A; The Psychometrics Centre, University of Cambridge, Cambridge, UK.
  • Vaccari C; Online Civic Culture Centre, Department of Communication and Media, Loughborough University, Loughborough, UK.
  • Waite F; Online Civic Culture Centre, Department of Communication and Media, Loughborough University, Loughborough, UK.
  • Rosebrock L; Department of Psychiatry, University of Oxford, Oxford, UK.
  • Jenner L; Oxford Health NHS Foundation Trust, Oxford, UK.
  • Petit A; Department of Psychiatry, University of Oxford, Oxford, UK.
  • Lewandowsky S; Oxford Health NHS Foundation Trust, Oxford, UK.
  • Vanderslott S; Department of Psychiatry, University of Oxford, Oxford, UK.
  • Innocenti S; Oxford Health NHS Foundation Trust, Oxford, UK.
  • Larkin M; Department of Psychiatry, University of Oxford, Oxford, UK.
  • Giubilini A; Oxford Health NHS Foundation Trust, Oxford, UK.
  • Yu LM; School of Psychological Science, University of Bristol, Bristol, UK.
  • McShane H; Oxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford, UK.
  • Pollard AJ; Smith School of Enterprise and the Environment, University of Oxford, Oxford, UK.
  • Lambe S; Department of Psychology, Life and Health Sciences, Aston University, Birmingham, UK.
Psychol Med ; : 1-15, 2020 Dec 11.
Article in English | MEDLINE | ID: covidwho-2259583
ABSTRACT

BACKGROUND:

Our aim was to estimate provisional willingness to receive a coronavirus 2019 (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, side-effects, 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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Qualitative research Topics: Vaccines Language: English Journal: Psychol Med Year: 2020 Document Type: Article Affiliation country: S0033291720005188

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Qualitative research Topics: Vaccines Language: English Journal: Psychol Med Year: 2020 Document Type: Article Affiliation country: S0033291720005188