key: cord-0837100-saiqfkb3 authors: Sherman, S. M.; Smith, L. E.; Sim, J.; Amlot, R.; Cutts, M.; Dasch, H.; Rubin, G. J.; Sevdalis, N. title: COVID-19 vaccination intention in the UK: Results from the COVID-19 Vaccination Acceptability Study (CoVAccS), a nationally representative cross-sectional survey date: 2020-08-14 journal: nan DOI: 10.1101/2020.08.13.20174045 sha: 3568211dca3b6147750234dd7852939eb52e7cb7 doc_id: 837100 cord_uid: saiqfkb3 Aim: To investigate factors associated with intention to be vaccinated against COVID-19. Methods: Online cross-sectional survey of 1,500 UK adults, recruited from an existing online research panel. Data were collected between 14th and 17th July 2020. We used linear regression analyses to investigate associations between intention to be vaccinated for COVID-19 when a vaccine becomes available to you and socio-demographic factors, previous influenza vaccination, general vaccine attitudes and beliefs, attitudes and beliefs about COVID-19, and attitudes and beliefs about a COVID-19 vaccination. Results: 64% of participants reported being likely to be vaccinated against COVID-19; 27% were unsure and 9% reported being unlikely to be vaccinated. Personal and clinical characteristics, previous influenza vaccination, general vaccination beliefs, and beliefs and attitudes about COVID-19 and a COVID-19 vaccination explained 77% of the variance in vaccination intention. Intention to be vaccinated was associated with more positive general COVID-19 vaccination beliefs and attitudes, weaker beliefs that the vaccination would cause side effects or be unsafe, greater perceived information sufficiency to make an informed decision about COVID-19 vaccination, greater perceived risk of COVID-19 to others but not oneself, older age, and having been vaccinated for influenza last winter (2019/20). Conclusions: Despite uncertainty around the details of a COVID-19 vaccination, most participants reported intending to be vaccinated for COVID-19. Actual uptake will likely be lower. Vaccination intention reflects general vaccine beliefs and attitudes. Campaigns and messaging about a COVID-19 vaccination should emphasize the risk of COVID-19 to others and necessity for everyone to be vaccinated. The COVID-19 pandemic has had a huge impact across societies, with governments worldwide imposing restrictions of movement and other measures such as mandatory use of face coverings or quarantine to prevent the spread of the virus. Hopes of returning to normality have been pinned on the availability of a COVID-19 vaccine, and vaccination is central to the UK government's COVID-19 recovery strategy.(1) Vaccine trials have reported encouraging results indicating that a COVID-19 vaccine is safe and produces a good immune response. (2, 3) However, the success of a vaccination programme will depend on rates of uptake among the population. It is important to prepare and develop effective policies and messaging for vaccination now, in order to maximize uptake when a vaccine becomes available. There is a wealth of literature investigating factors associated with vaccine uptake. Research is underpinned by multiple theories of health behaviour, including the Health Belief Model,(4) the Theory of Planned Behaviour, (5) and Protection Motivation Theory. (6) Constructs outlined by these theories, including threat appraisal, coping appraisal, cues to action, self-efficacy, perceived benefits and barriers, subjective norms, perceived behavioural control, and attitudes, have consistently been associated with uptake of routine vaccination (7, 8) as well as vaccine uptake during the H1N1 influenza pandemic. (9) In addition to these theoretical constructs, contextual factors are also known to affect vaccine uptake. (7) Perceptions and attitudes are in part driven by contextual factors, such as current events in the news and how the vaccine is being portrayed in the media. To date, there have been two studies to our knowledge investigating factors associated with intention to be vaccinated against COVID-19 in the UK in clinically vulnerable populations. (10, 11) One study found that increased intention to be vaccinated was associated with thinking that the COVID-19 outbreak would last for a long time, while decreased intention was associated with thinking that the risks of COVID-19 have been exaggerated by the media. (10) These results should be interpreted cautiously as they did not account for the influence of participants' socio-demographic characteristics. The second study investigated associations between vaccine intention and sociodemographic factors, finding that decreased intention was associated with younger age and Black and minority ethnicity, but did not investigate the influence of psychological factors on vaccination intention. (11) Results from these studies should be interpreted with caution due to the protracted nature of data collection in both studies and the analyses used. However, they provide some initial insight into factors associated with COVID-19 vaccination intention. It is likely that a COVID-19 vaccination will become available first to those in at-risk groups and those who have increased exposure to the virus through their job.(12) However, vaccination intention in the general population should be investigated as vaccination may be rolled out more widely soon afterwards, and sufficient uptake will be critical to eliminating COVID-19. Furthermore, it remains a possibility that people may be able to be vaccinated for COVID-19 privately, much like the seasonal influenza vaccine. The aim of this study was to investigate associations between vaccination intention and theoretically-grounded, contextual and socio-demographic factors in a demographicallyrepresentative sample of the UK adult population. We conducted a cross-sectional survey, between 14 th and 17 th July 2020. Participants completed the survey online, on Qualtrics. Participants (n=1,500) were recruited through Prolific's online research panel and were eligible for the study if they were aged eighteen years or over and lived in the UK (n=38,000+ eligible participants). Quota sampling was used, based on age, sex, and ethnicity to ensure that the sample was broadly representative of the UK general population. Of 1,532 people who began the survey, 1,504 completed it (98% completion rate). Four participants were not included in the sample as they did not meet quality control checks. Participants were paid £2 for a completed survey. Full survey materials are available online. (13) Items were based on previous literature. (14) (15) (16) (17) (18) To measure vaccination intention, we asked participants to state how likely they would be to have a COVID-19 vaccination "when a coronavirus vaccination becomes available to [them]" on an eleven-point scale from "extremely unlikely" (0) to "extremely likely" (10) . We asked participants to what extent they thought "coronavirus poses a risk to" people in the UK and to themselves personally, on a five-point scale, from "no risk at all" to "major risk". We asked participants if they thought they "have had, or currently have, coronavirus". Participants could answer "I have definitely had it or definitely have it now", "I have probably had it or probably have it now", "I have probably not had it and probably don't have it now", and "I have definitely not had it and definitely don't have it now". We also asked participants if they personally knew anyone who had had COVID-19 (yes/no). Participants were asked a series of statements about COVID-19 (n=8) and about a possible COVID-19 vaccination (n=24). For questions about the COVID-19 vaccination, participants were asked to imagine that a COVID-19 vaccine was widely available. Statements measured theoretical constructs including perceived susceptibility to COVID-19, severity of COVID-19, benefits of a COVID-19 vaccine, barriers to being vaccinated against COVID-19, ability to be vaccinated (self-efficacy), subjective norms, behavioural control, anticipated regret, knowledge, trust in the Government and NHS. These items also investigated concerns about commercial profiteering, and participants' beliefs about vaccination allowing life to get back to 'normal' and having to follow social distancing and other restrictions for COVID-19 if vaccinated. Participants rated perception statements on an eleven-point scale (0-10) from "strongly disagree" to "strongly agree". We also asked participants if their employer would want them to have the COVID-19 vaccination. Order of items was quasi-randomized. We asked participants to report their age, gender, ethnicity, religion, employment status, highest educational or professional qualification, and total household income. We also asked participants what UK region they lived in, how many people lived in their household, whether they or someone else in their household (if applicable) had a chronic illness that made them clinically vulnerable to serious illness from COVID-19, and if they worked or volunteered in roles considered critical to the COVID-19 response ('key worker' roles). Lastly, we asked participants if they had been vaccinated for seasonal influenza last winter (yes/no), and how likely they would be to have the seasonal influenza vaccine this winter (eleven point scale, from "extremely unlikely" to "extremely likely"). Ethical approval for this study was granted by Keele University's Research Ethics Committee (reference: PS-200129). Due to the rapid nature of this research, the public was not involved in the development of the survey materials. A target sample size of 1500 was chosen to provide a high ratio of cases to estimated parameters in order to avoid overfitting and loss of generalizability in the regression model. (19) To identify variables associated with an intention to have the COVID-19 vaccination, we illness; and beliefs and attitudes relating to COVID-19 vaccination. The percentage of variance in the outcome variable explained by each predictor was calculated as the squared semi-partial correlation for a numerical predictor and the change in R 2 attributable to a set of dummy variables. As well as fitting the full model, we also added the groups of variables as successive blocks in a hierarchical model, to determine the incremental increase in the adjusted R 2 value as the groups of variables were added to the model. Due to the large number of predictors in the model, statistical significance was set at p≤.01 to control for Type 1 errors and 99% confidence intervals (CIs) were correspondingly calculated for the regression coefficients. Assumptions of the analysis were checked. Analyses were conducted in SPSS 26. As intended, participants were broadly representative of the UK population (mean age 46.0 years, SD=15.8, range 18 to 87; 51% female; 85% white ethnicity; Table 1 , see supplementary materials 1 for further breakdown). Tables 2 and 3 . Participants' vaccination intention is presented in Figure 1 . Vaccination intention exhibited a marked negative skew (mean=7.55, standard deviation=2.92, median=9). Using a priori categorisations (scores of zero to two as "very unlikely", three to seven as "uncertain" and eight to ten as "very likely"), 9 The final model explained 77% of the variance in intention to vaccinate ( If COVID-19 vaccination were to be offered to the general population, one advantage might be the ability to achieve herd immunity. Estimates indicate that up to 60% of the population might need to be vaccinated to achieve this. (20) Sixty-four percent of people surveyed reported intending to be vaccinated for COVID-19 when a vaccine becomes available to them. While intention is a key driver of the uptake of health behaviours,(5, 6) vaccination intention is likely to be higher than actual vaccine uptake. In contrast to previous research,(9) we found no evidence of an association between greater perceived risk of COVID-19 to oneself and vaccination intention. However, greater perceived risk to others was associated with vaccination intention in our study. This suggests that vaccination campaigns and messaging highlighting the need for vaccination for altruistic reasons (i.e. to protect others) might be particularly effective. We also found that concerns about adverse effects and vaccine novelty were associated with vaccination intention. As novel threats are perceived as inherently more risky, (22) and perceiving adverse effects is consistently associated with vaccination refusal, (8, 9) this is unsurprising. Eligibility criteria for a COVID-19 vaccination are not yet clear. Initial guidance from the Joint Committee on Vaccination and Immunisation suggests that vaccination should be prioritized among frontline health and social care workers and those at increased risk of critical illness or death from COVID-19.(12) We found no evidence of an association between clinical vulnerability to COVID-19 and vaccination intention. However, vaccination intention was lower in those who thought that only those who are at risk of serious illness need to be vaccinated. This may be because most of the sample did not think that they were at increased clinical risk of COVID-19. Our findings that thinking that one has had COVID-19 was not associated with vaccination intention is reassuring. With some evidence suggesting that repeated vaccination for COVID-19 may be necessary, (20) parallels with seasonal influenza vaccination can be drawn and lessons learned to promote vaccination uptake. Populations at greater clinical risk of serious illness from COVID-19 are also similar to those at-risk of serious illness from influenza, and target populations for vaccines are likely to be similar. We found that seasonal influenza vaccination was strongly associated with COVID-19 vaccination intention. With the 2020/21 influenza season fast approaching in the UK, and an increasing strain that concurrent circulation of seasonal influenza and COVID-19 will put on healthcare services, (23) it is crucial that uptake of the seasonal influenza vaccine increases compared to uptake in 2019/20 (England: 72% in 65+ year olds, 45% in a clinical risk category; 44% in pregnant women; and 44% in pre-school children and 60% in school-aged children (24)). Given the prominence of COVID-19 in the media, contextual factors are likely to be strongly influential in vaccination uptake,(7) with vaccine sentiments likely reflecting the media discourse. However, there was no evidence for an association between beliefs about a return to 'normal' and COVID-19 vaccination intention using our stringent criteria for statistical significance (p≤.01). This may be due to the continuing uncertainties surrounding a COVID-19 vaccination. Given the potential for sensationalized stories to increase perceptions of the likelihood and severity of adverse effects, decrease vaccine uptake, and in some cases lead to political responses including the suspension of vaccination programmes, (25) it is important that when more information about a vaccine becomes available, a clear factual account is portrayed in the media. It remains to be seen how this might be implemented in practice. In line with other research conducted on COVID-19 vaccine willingness in the UK,(11) we found that older age was associated with greater intention to be vaccinated. This finding may reflect the related increased uptake of seasonal influenza vaccination in older age groups. This study has limitations. First, although we used a demographically representative sample of the UK population, we cannot be sure how representative survey respondents are of the views and behaviours of the general population. (26, 27 ) However, we assume that associations between variables follow the same pattern as those in the general population. (28) Second, we cannot infer causality due to the cross-sectional nature of the study. Third, we investigated vaccination intention. Actual vaccination uptake is likely to be lower.(21) Given the theoretical importance of intention in theories of uptake of health behaviours, (5, 6) it is likely that factors associated with vaccination intention in this study will also influence vaccination uptake. Fourth, due to unclear evidence of the role of children in transmission of COVID-19 in the UK (12) and space constraints in the survey, we chose not to investigate intention to vaccinate one's child for COVID-19. High levels of uptake of a COVID-19 vaccination when one becomes available will be necessary in order for the UK government's COVID-19 recovery strategy to be fulfilled and for life to return to 'normal'. To the best of our knowledge, this is the first methodologically rigorous study investigating intention to receive a COVID-19 vaccination in a demographically-representative sample of the UK population. While there is still much uncertainty surrounding COVID-19 and vaccination, results from this study provide useful insights that can help guide policy and communications when a vaccine becomes available. The UK population is still divided in their intention to be vaccinated for COVID-19. Approximately two-thirds report being likely to be vaccinated when a vaccine becomes available to them despite the dearth of information about a COVID-19 vaccination. As vaccine uptake is likely to be lower than vaccination intention, it is worrying that the remaining third were unsure or did not intend to be vaccinated for COVID-19, given the The authors affirm that the manuscript is an honest, accurate, and transparent account of the study being reported; that no important aspects of the study have been omitted; and that any discrepancies from the study as originally planned have been explained. Data are available online. (13) Our plan to rebuild: The UK Government's COVID-19 recovery strategy Immunogenicity and safety of a recombinant adenovirus type-5-vectored COVID-19 vaccine in healthy adults aged 18 years or older: a randomised, double-blind, placebo-controlled, phase 2 trial. The Lancet Safety and immunogenicity of the ChAdOx1 nCoV-19 vaccine against SARS-CoV-2: a preliminary report of a phase 1/2, single-blind, randomised controlled trial. The Lancet The Health Belief Model: a decade later The Theory of Planned Behavior Protection motivation theory Handbook of health behavior research 1: Personal and social determinants Understanding vaccine hesitancy around vaccines and vaccination from a global perspective: a systematic review of published literature A systematic review of factors affecting vaccine uptake in young children Factors associated with uptake of vaccination against pandemic influenza: A systematic review high risk: outlining evidence-based and theoretically informed future intervention content Joint Committee on Vaccination and Immunisation. Joint Committee on Vaccination and Immunisation: interim advice on priority groups for COVID-19 vaccination Coronavirus vaccination acceptability study (CoVAccS) The design of a survey questionnaire to measure perceptions and behaviour during an influenza pandemic: the Flu TElephone Survey Template (FluTEST). Health Services and Delivery Research Parental attitudes towards male human papillomavirus vaccination: a pan-European cross-sectional survey Determinants of adults' intention to vaccinate against pandemic swine flu Evaluating the importance of policy amenable factors in explaining influenza vaccination: a cross-sectional multinational study The impact of believing you have had COVID-19 on behaviour: Cross-sectional survey Minimum sample size for developing a multivariable prediction model: Part I -Continuous outcomes UK: the end of the beginning? The Lancet. 2020 Bridging the intention-behaviour gap Planning, self-efficacy, and action control in the adoption and maintenance of physical exercise Perception of risk Public Health England. Surveillance of influenza and other respiratory viruses in the United Kingdom: winter Tracking the global spread of vaccine sentiments: the global response to Japan's suspension of its HPV vaccine recommendation Researching internet-based populations advantages and disadvantages of online survey research, online questionnaire authoring software packages, and web survey Services Possible Uses of Nonprobability Sampling for the Social Sciences NS is the director of the London Safety and Training Solutions Ltd, which offers training in patient safety, implementation solutions and human factors to healthcare organisations. The other authors have no conflicts of interest to declare.