Literature DB >> 34941951

Changes in attitudes to vaccination as a result of the COVID-19 pandemic: A longitudinal study of older adults in the UK.

Allyson J Gallant1, Louise A Brown Nicholls2, Susan Rasmussen2, Nicola Cogan2, David Young3, Lynn Williams2.   

Abstract

BACKGROUND: The rapid development of COVID-19 vaccines has brought an unprecedented focus on public attitudes to vaccines, with intention to accept a COVID-19 vaccine fluctuating during the pandemic. However, it is unclear how the pandemic may influence attitudes and behaviour in relation to vaccines in general. The aim of the current study is to examine older adults' changes in vaccination attitudes and behaviour over the first year of the pandemic.
METHODS: In February-March 2020 (before the first COVID-19 national lockdown in the UK), 372 older adults (aged 65+) provided sociodemographic information, self-reported influenza vaccine uptake, and completed two measures of vaccination attitudes: the 5C scale and the Vaccination Attitudes Examination Scale. One-year later, following rollout of COVID-19 vaccines to older adults, participants provided information on their COVID-19 and influenza vaccine uptake in the previous 12 months, and completed the 5C and VAX scales again. Paired samples t-tests were used to examine changes in vaccination attitudes over time.
RESULTS: Almost all participants (98.7%) had received at least one dose of a COVID-19 vaccine, and a significant increase in influenza uptake was identified (83.6% in 2020 to 91.6% in 2021). Complacency, mistrust of vaccine benefit, concerns about commercial profiteering, and constraints to vaccination had significantly decreased between Time 1 and Time 2, and collective responsibility had significant increased. However, calculation and worries about unforeseen future effects had increased, indicating that participants now perceived higher risks related to vaccination and were taking a more deliberative information-seeking approach.
CONCLUSION: The results show significant changes in vaccination attitudes across the pandemic. These changes suggest that while older adults became less complacent about the importance of vaccines, concerns about potential risks associated with vaccination increased. It will be important for public health communication to address these concerns for all vaccines offered to this group.

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Year:  2021        PMID: 34941951      PMCID: PMC8699689          DOI: 10.1371/journal.pone.0261844

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Since COVID-19 was first identified as a pandemic by the World Health Organisation (WHO) in March 2020 [1], there has been worldwide attention placed on controlling the spread of the virus and the development of effective vaccines. Vaccination against COVID-19 has also been highlighted as a critical component of the recovery strategy for the UK to return to normal [2]. As multiple safe and effective vaccines against COVID-19 have been developed and approved for use, factors such as varying efficacy rates across these COVID-19 vaccines [3], effectiveness against newly identified variants of concern [4], and a reported link of the AstraZeneca vaccine to the rare development of blood clots [5] have only intensified concerns about vaccinating against COVID-19. In most countries, including the UK, older adults have been identified as a priority group for receiving COVID-19 vaccines [6]. In addition, older adults are also routinely offered vaccines against seasonal influenza, pneumococcal disease, and shingles. Due to older adults’ increased risk of acquiring these illnesses, and their increased likelihood of developing complications as a result, high levels of vaccination uptake in this age group are particularly important [7]. However, acceptance rates across these vaccines vary. Uptake of the annual influenza vaccine among older adults in the UK is consistently around 70%, reaching over 80% uptake during the 2020–2021 influenza season, likely as a result of intensified vaccination campaigns due to COVID-19 [8]. In contrast, uptake rates of the pneumococcal vaccine is 69% in adults 65 and older, and shingles vaccine uptake is only 54% among adults aged 70–79, with only slight increases in uptake rates for both vaccines seen in recent years [9, 10]. Commonly identified reasons for poor uptake of these vaccines include low levels of confidence and not prioritizing vaccinations [11, 12]. Given up to 90% of the population will need to vaccinate against COVID-19 to achieve herd immunity [13], it is critical to understand vaccination views among this priority population and how views may have changed since the beginning of the pandemic. There are a number of factors that influence older adults’ vaccine hesitancy, or “the unwillingness or refusal to vaccinate despite accessible vaccine services” [14]. The 3C model developed by MacDonald & the SAGE Working Group on Vaccine Hesitancy was designed to capture the nuances amongst factors affecting vaccine hesitancy. These factors include Confidence (e.g., trust in the safety and effectiveness of vaccines, vaccine developers and government), Complacency (e.g., vaccination is a low priority or vaccine-preventable diseases are not a concern) and Convenience (e.g., time or geographical factors, quality of accessible vaccines) [14]. Furthermore, levels of hesitancy can vary depending on the vaccine. A variety of tools and instruments have been designed to investigate psychosocial aspects of vaccine hesitancy [15-18]. However, to date few of these instruments have been applied in older adult populations. Among factors affecting older adults’ vaccine uptake, a low sense of collective responsibility, preference for natural immunity, distrust of commercial vaccination companies and high levels of information seeking have been identified as predictors of vaccine hesitancy [19]. However, while a sense of collective responsibility has been identified as a predictor of older adults’ uptake of a range of vaccines (i.e. influenza, pneumococcal, and shingles vaccines), concerns about profiteering predicted lack of uptake of the pneumococcal and shingles vaccines, whose uptake was considerably lower than the influenza vaccine [19]. Overall, this suggests that understanding of disease risk and vaccine benefits, along with the broader psychosocial factors specifically associated with uptake, vary by vaccine. While high levels of intended uptake of a COVID-19 vaccine have been identified in older adult populations, worries of potential vaccine side effects and rapid vaccine development have been identified as notable concerns which may affect vaccine acceptance and uptake [20]. Across the span of the pandemic, intention to vaccinate against COVID-19 has fluctuated [21], with recent findings from the United States identifying a decline in intentions to vaccinate against COVID-19 over time [22]. However, it is not known what influence the pandemic has had on older adults’ attitudes and behaviour in relation to vaccines. The attitudes and behaviours of older adults are of particularly importance given their relative vulnerability to COVID-19 and other vaccine-preventable disease, and their priority status to receive a COVID-19 vaccination in the UK [23]. While the pandemic has highlighted the importance of vaccination, the focus on safety concerns and potential side effects, and spread of misinformation relating to the COVID-19 vaccines may have made people less confident about vaccines in general [24]. There is a need to identify the impact of the COVID-19 pandemic on vaccination attitudes and behaviours towards vaccinations in order to inform future communications around vaccines. Therefore, we aimed to address three research questions (RQ’s): RQ1: How have older adults’ (65+) vaccination attitudes changed over the previous 12 months? RQ2: What were the key factors that shaped older adults’ decision to receive a COVID-19 vaccine, in terms of motivating factors and concerns? RQ3: Has older adults’ influenza vaccine uptake changed over the previous 12 months and what are their vaccination intentions for the next 12 months?

Methods

Participants and procedure

The present study consisted of an online, longitudinal survey over two time points. The first survey (Time 1) was conducted in February-March 2020. During this time, cases of COVID-19 had started to be identified in the UK, but data collection concluded prior to the introduction of any lockdown restrictions. The second survey (Time 2) was conducted one year later, in March 2021. At this time, all adults in the UK aged 65 and over had been offered the first dose of a COVID-19 vaccine. The target population for the survey was therefore older adults (aged 65 and older) living in the UK. Participants were eligible to take part if they were living independently in the community (i.e., not living in a care facility) and were generally in good health (and, specifically, not diagnosed with a neurological condition). At Time 1, participants were recruited through emails to university participation panels and social media posts on Facebook and Twitter, inviting them to complete an online survey via Qualtrics. At Time 2, we re-contacted participants via email and invited them to complete the follow-up survey, also administered through Qualtrics. All materials and procedures were approved by the School of Psychological Sciences and Health, University of Strathclyde Ethics Committee and all participants gave informed consent. At Time 1, participants provided sociodemographic information and self-reported influenza vaccine uptake in the previous 12 months. Participants also completed the 5C scale [16] and the Vaccination Attitudes Examination Scale (VAX) [25]. At Time 2, participants provided information on their COVID-19 and influenza vaccination uptake in the previous 12 months and completed the 5C and VAX scales again. In addition, participants were also asked about the factors that influenced their decision to vaccinate against COVID-19, if they had any concerns about the COVID-19 vaccines, and the sources of information they consulted in order to inform their COVID-19 vaccination decision. Finally, participants were asked about their intention to receive the annual influenza vaccine and any booster doses of a COVID-19 vaccine in the future.

Measures

5C scale

The 5C scale [16] assesses the psychological antecedents to vaccination. It is comprised of five, three-item subscales to measure: Confidence (e.g., ‘I am confident that public authorities decide in the best interest of the community’), Complacency (e.g., ‘vaccination is unnecessary because vaccine-preventable diseases are not common anymore’), Constraints (e.g., ‘it is inconvenient to receive vaccinations’), Calculation (e.g., ‘for each and every vaccination, I closely consider whether it is useful for me’), and Collective Responsibility (e.g., ‘vaccination is a collective action to prevent the spread of diseases’). Responses were measured on a seven-point Likert scale (1 = strongly disagree, 7 = strongly agree) and scored by calculating the mean score for each subscale (score range 1–7). Higher confidence and collective responsibility scores indicate enablers to vaccination, while higher complacency, calculation, and constraints scores indicate more individual barriers to vaccination [16, 26].

VAX scale

The VAX scale [25] consists of 12 items to identify individuals’ attitudes towards vaccination. The scale contains four, three-item subscales: Mistrust of Vaccine Benefit (e.g., ‘I can rely on vaccines to stop serious infectious diseases’), Worries about Unforeseen Future Effects (e.g., ‘I worry about the unknown effects of vaccines in the future’), Concerns about Commercial Profiteering (e.g., ‘authorities promote vaccination for financial gain, not for people’s health’), and Preference for Natural Immunity (e.g., ‘natural exposure to viruses and germs gives the safest protection’). All items were measured on a five-point scale (1 = strongly disagree, 5 = strongly agree) and were scored by calculating the mean scores for each subscale as well as a mean total score (range 1–5). Lower scores indicate more positive vaccination views while higher scores represent more negative views [25].

COVID-19 vaccination questions

Participants were asked to rank-order the factors which influenced their decision to vaccinate, with the response options of: “to protect personal health”; “to protect the health of family and friends”; “to achieve herd immunity”; and “to end restrictions”. A free-text option was provided to capture any additional factors. Participants were also asked if they had any concerns about the COVID-19 vaccines, including: concerns about side effects; safety concerns; speed of vaccine development; and concern the vaccine is not effective. A free-text option was included again so that participants could detail any other concerns. Finally, two questions asked about intention to receive influenza and COVID-19 vaccinations in future (e.g., “If you were offered further vaccinations against COVID-19 would you accept them?”) with the response options of ‘yes’, ‘no’, and ‘not sure’. A copy of the survey can be found in S1 File.

Data analysis

Paired samples t-tests were used to test for differences in scores on the subscales of the 5C and VAX measures across the two time-points. In addition, descriptive statistics were produced for influenza and COVID-19 vaccine uptake, along with the main factors that shaped the participants’ COVID-19 vaccination decision-making. Cohen’s d was calculated in each case as an estimates of the effect sizes of time. Effect sizes of 0.2 were interpreted qualitatively as a small effect, 0.5 were interpreted as medium effect and 0.8 were interpreted as a large effect [27]. Statistical analyses were conducted using IBM SPSS (version 26) at 5% significance levels.

Results

Characteristics of participants

The survey at Time 1 was completed by 372 participants, and 311 of these participants completed the follow-up survey at Time 2, representing an 83.6% follow-up rate. Participant characteristics at both time points are shown in Table 1. We compared the sociodemographic characteristics of those who participated at both time points, with those who completed only Time 1. There were no significant differences between the completers and non-completers based on age, gender, or deprivation level. Almost all participants (n = 307; 98.7%) indicated that they had received at least one dose of a COVID-19 vaccine.
Table 1

Sociodemographic and vaccine uptake information for the sample at Time 1 and Time 2.

Time 1 (n = 372)Time 2 (n = 311)
Variablesn%n%
Age M = 70.5 (SD = 4.6)M = 70.3 (SD = 4.7)
Gender
 Male18449.7%15951.5%
 Female18449.7%14948.2%
 Prefer not to say20.5%10.3%
Deprivation Quintile
 1 (most deprived)5716.3%4615.5%
 28323.8%7625.7%
 36919.8%5518.6%
 49117.5%5317.9%
 5 (least deprived)7922.6%6622.3%
Received annual influenza vaccination 31183.6%28591.6%
COVID-19 vaccination
 First dose received--30297.1%
 Both doses received--51.6%
 Declined--31%
 Not yet been offered--10.3%

Note. M = mean; SD = standard deviation.

Note. M = mean; SD = standard deviation.

RQ1: How have older adults’ vaccination attitudes changed over the previous 12 months?

For the 5C subscales, paired samples t-tests indicated that the four subscales of complacency, constraints, calculation, and collective responsibility had changed significantly across the two time points. However, there was no significant change in vaccine confidence (see Table 2). Both complacency and constraints to vaccination had significantly decreased at Time 2 indicating that participants had become less complacent about vaccination and perceived fewer constraints to accessing vaccination. In addition, scores on the collective responsibility subscale had increased indicating that participants felt an increased sense of collective responsibility to vaccinate at Time 2. However, calculation scores had increased, indicating that participants now perceived higher risks related to vaccination and were taking a more deliberative information seeking approach to inform their vaccination decision making. The effect sizes for these changes were generally small (Cohen’s d = 0.13–0.30) with the largest effect being observed for complacency (d = 0.30).
Table 2

Means and Cronbach’s alphas for 5C and VAX-measured vaccination attitudes over 12 months.

ScaleSubscaleTime 1Time 2p-value Cohen’s d
M (SD) Cronbach’s α M (SD) Cronbach’s α
5C Confidence6.14 (1.34)0.876.20 (1.25)0.830.53-
Complacency2.00 (1.10)0.491.65 (0.99)0.57< .010.300
Constraints1.31 (0.72)0.681.19 (0.59)0.52< .010.171
Calculation5.24 (1.71)0.795.49 (1.57)0.800.020.137
Collective Responsibility6.23 (1.06)0.536.43 (1.03)0.63< .010.172
VAX Mistrust of Vaccine Benefits1.98 (0.75)0.871.88 (0.65)0.840.020.134
Worries About Unforeseen Future Effects2.74 (0.79)0.742.87 (0.72)0.70< .010.196
Concerns About Commercial Profiteering1.65 (0.74)0.831.56 (0.65)0.780.020.186
Preference for Natural Immunity2.12 (0.85)0.832.11 (0.81)0.820.91-

Note. M = mean; SD = standard deviation; VAX = Vaccination Attitudes Examination.

Note. M = mean; SD = standard deviation; VAX = Vaccination Attitudes Examination. Across the VAX scale, there were significant differences between time points for the three subscales of mistrust of vaccine benefit, worries about unforeseen future effects, and concerns about commercial profiteering. However, there was no significant difference relating to the preference for natural immunity subscale across the time points. Mistrust of vaccine benefits and concerns about commercial profiteering both significantly decreased between Time 1 and Time 2. However, worries about unforeseen future effects had significantly increased from Time 1 to Time 2. The effect sizes for these significant changes were also small (Cohen’s d = 0.13–0.20).

RQ2: What were the key factors that shaped older adults’ decision to receive a COVID-19 vaccine in terms of motivating factors and concerns?

When asked to rank-order the importance of factors affecting the decision to vaccinate against COVID-19, protecting personal health was ranked by the majority of participants as the most important factor (n = 162; 52%), followed by protecting the health of friends and family (n = 43; 14%), contributing to herd immunity (n = 34; 11%) and to bring an end to the pandemic restrictions (n = 7; 2%; see Table 3). Additional free-text responses included: feeling it was a sensible decision or brought peace of mind (n = 7; 2%); to protect the health of vulnerable community members (n = 4; 1.3%); to be able to travel (n = 4; 1.3%); and to support a return to normalcy (n = 2; 0.6%).
Table 3

Rank-ordering of factors affecting COVID-19 vaccine uptake.

Ranked Importance of Factor
N (%)
FirstSecondThirdFourth
To protect myself 162 (52%)52 (17%)25 (8%)8 (3%)
To protect family and friends 43 (14%)162 (52%)33 (11%)9 (3%)
To help achieve herd immunity 34 (11%)20 (6%)149 (48%)41 (13%)
To bring an end to restrictions 7 (2%)13 (4%)37 (12%)184 (59%)
When asked if participants had any concerns about the COVID-19 vaccines, 72% (n = 225) indicated that they had no concerns. Among those who identified concerns, worries of potential vaccine side effects (n = 49; 15.8%) and vaccine efficacy concerns (n = 46; 14.8%) were the most common responses. Worries about the speed of vaccine development (n = 21; 6.8%) and vaccine safety fears (n = 9; 2.9%) were also identified. Free-text responses to this item also identified that some participants (n = 3; 1%) were concerned about the time window between the first and second doses, which was an average of 12 weeks in the UK at the time of survey.

RQ3: How has older adults’ influenza vaccine uptake changed over the previous 12 months and what are their vaccination intentions for the next 12 months?

As shown in Table 1, 83.6% (n = 311) of participants received the annual influenza vaccination in the 12 months prior to Time 1. This rose to 91.6% (n = 285) in the 12 months prior to Time 2, representing a significant increase in influenza vaccination across the time points (p < .01). In terms of future intention to vaccinate at Time 2, 91.6% (n = 285) intend to receive the annual influenza vaccine in the next influenza season, and 97.1% (n = 302) intend to accept any future COVID-19 booster vaccines they are offered.

Discussion

To our knowledge, the current study is the first to assess longitudinal changes in general vaccination attitudes and behaviours among older adults during the first year of the COVID-19 pandemic. Our findings suggest that older adults’ attitudes towards vaccination have changed significantly as a result of the pandemic. Several aspects have been positively influenced, with complacency, mistrust of vaccine benefit, concerns about commercial profiteering, and perceived constraints to vaccination significantly decreasing between Time 1 and Time 2. Sense of collective responsibility significantly increased. These results suggest that the pandemic has led people to re-evaluate the importance of vaccination and increase their willingness to protect others. In addition, the decrease in perceived constraints to vaccination suggests that people now perceive fewer structural and psychological barriers to vaccination, suggesting that the innovations in service delivery of COVID-19 vaccines has been effective in reducing some practical barriers [6]. While the above results would suggest that attitudes to vaccination have generally become more positive over the first year of the pandemic, we also found that calculation had increased. This may indicate that participants now perceived higher risks related to vaccination and were taking a more deliberative, information-seeking approach to inform their vaccination decision-making. A recent evidence synthesis of factors affecting COVID-19 vaccination identified use of traditional media sources (e.g., local and national televised news programmes, newspapers and radio formats), government and public health information sources were associated with improved COVID-19 vaccine acceptance [28]. With increases in information-seeking among older adults, it is crucial to ensure high-quality and trusted information sources are sought out and easily accessible to this population to support their vaccination decisions. We identified that concerns about vaccine side effects have significantly increased during the pandemic. The unprecedented focus on the vaccine approval process, and widespread coverage of side effects of the vaccines, particularly evident for the AstraZeneca vaccine [29], seems to have led older adults to be more concerned about the side effects of vaccines in general, or at least to seek and evaluate safety-related information. These findings align with previous research relating to COVID-19 vaccines, where participants have raised persistent concerns about vaccine side effects [30-32]. Our results suggest that it will be important to consider how to address these concerns, not only for the COVID-19 vaccines but also for others. The increase in calculation scores also suggest that older adults may now seek out additional information about any vaccines they are offered. Consequently, there is a need to ensure that we have educational interventions and resources in place which will provide credible, trusted and transparent information about vaccinations and potential side effects. Protecting personal health was identified as a key factor which shaped the decision to vaccinate against COVID-19, followed by protecting friends and family, contributing towards herd immunity, and ending the pandemic-related restrictions. These findings align with previous research that identified personal health, the health consequences to others, and peace of mind as main facilitators to future intended COVID-19 vaccination [20, 33]. Considering up to 90% vaccine uptake may be required to achieve herd immunity against COVID-19 [13], it is worth highlighting that vaccine uptake among this priority population has been driven by multiple personal and social factors. In those that remain hesitant towards vaccination against COVID-19, it may be beneficial to emphasise the broader societal and environmental benefits of vaccination in addition to the personal health benefits, bearing in mind specific disease risks [19]. In relation to vaccination behaviour, we identified near universal uptake of at least one dose of a COVID-19 vaccine. While the uptake rate observed in our sample is very high, it is in line with the COVID-19 vaccination rates among older adult populations across Scotland and the UK [34, 35]. We also found significantly higher influenza vaccination rates for the 2020–2021 influenza season compared to that in 2019–2020. It is important to note these identified high uptake rates of COVID-19 and influenza vaccines may be context-dependent, and there are a number of broader social, cultural and political factors which can affect the decision to vaccinate (e.g., travel bans or restrictions) [36]. It remains to be seen if these higher rates of vaccine uptake will be maintained over subsequent influenza seasons, or if the high rates observed this season were more of a ‘one-off’ reaction to being in the midst of the pandemic. However, importantly, despite some of the negative changes to vaccination attitudes currently observed, it is promising that we also identified high intentions to receive future doses of both seasonal influenza and COVID-19 vaccinations. As it is likely that booster doses of COVID-19 vaccinations will be required annually over the upcoming years [37], it is reassuring that this key population intends to continue to receive both vaccinations.

Limitations

Our sample is not representative of all older adults in the UK. In particular, it comprised of participants who were living independently in the community and who were relatively high functioning. In addition, our sample was comprised almost entirely of white participants and may not represent the views and experience of more diverse racial groups. Minority ethnic groups in the UK have been reported to be more hesitant towards COVID-19 vaccinations and may experience inequities accessing COVID-19 vaccination services [38, 39]. By necessity, we also used online recruitment methods and an online survey to collect data for this study, which could have resulted in sampling bias. While using online surveys has been identified as a feasible way to collect data among older adults [40], factors such as limited internet access may hinder the generalizability of these findings. Finally, our vaccination uptake data is based on self-report and has not been verified by medical records. Self-reported vaccination status may overestimate vaccine uptake among older adults [41], and it is possible the widespread attention on COVID-19 vaccinations may have affected participants’ responses.

Conclusion

We identified positive shifts in vaccination attitudes during the first year of the COVID-19 pandemic, with complacency around vaccination, mistrust of vaccine benefit, concerns about commercial profiteering and constraints to vaccination all significantly decreasing over the year, and beliefs in the importance of collective responsibility significantly increasing. On the other hand, we also found that some attitudes to vaccination had become more negative, with participants now reporting being more concerned about potential vaccine side effects. In addition, we also found that participants would now engage in more deliberative information-seeking about vaccination. There is a need to ensure information-seeking older adults have access to credible information about vaccinations and potential side effects, along with disease risk, to inform their vaccination decisions.

Survey used for data collection.

(DOCX) Click here for additional data file. 26 Jul 2021 PONE-D-21-21111 Changes in attitudes to vaccination as a result of the COVID-19 pandemic: A longitudinal study of older adults in the UK PLOS ONE Dear Dr. Williams, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. Two Reviewers have evaluated the manuscript, providing overall moderate revisions. I encourage Authors to submit a revised version, improving methodological details and Introduction/Discussion following Reviewers' suggestions. Please submit your revised manuscript by Sep 09 2021 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. 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(Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: Thanks for the opportunity to review this manuscript In this study, the authors investigated an important and timely study question, which was related to the potential changes in attitudes of older adults (>65 years) in the UK towards vaccination using a longitudinal study design with two time points that were accompanied by Covid-19 pandemic. The importance of such study question is the increased public discussion regarding vaccination in general and the widespread circulation of misinformation during Covid-19 pandemic which may have resulted in changes in public attitude towards vaccination (with possible decrease in confidence and increased calculation before getting vaccinated). The strengths of this study involve the utilization of two separate time points to assess potential change in attitude towards flu vaccination among older adults and the utilization of previously validated scales assessing attitude towards vaccination (5C and VAX). The results of the study pointed to calculation as the major psychologic determinant to be targeted among older adults in UK to tackle the problem of flu vaccine hesitancy. In general, the article is well-written and the major limitations were addressed by the authors (especially in relation to representativeness of the study sample) I have a few comments which might be considered by the authors to improve the manuscript as follows: -The authors can benefit from additional relevant references in relation to Covid-19 vaccine hesitancy and its scope, flu and pneumococcal vaccine uptake among the elderly, among others E.g. Betsch, C., Rossmann, C., Pletz, M.W. et al. Increasing influenza and pneumococcal vaccine uptake in the elderly: study protocol for the multi-methods prospective intervention study Vaccination60+. BMC Public Health 18, 885 (2018). https://doi.org/10.1186/s12889-018-5787-9 Schmid P, Rauber D, Betsch C, Lidolt G, Denker ML (2017) Barriers of Influenza Vaccination Intention and Behavior – A Systematic Review of Influenza Vaccine Hesitancy, 2005 – 2016. PLOS ONE 12(1): e0170550. https://doi.org/10.1371/journal.pone.0170550 Fridman A, Gershon R, Gneezy A (2021) COVID-19 and vaccine hesitancy: A longitudinal study. PLOS ONE 16(4): e0250123. https://doi.org/10.1371/journal.pone.0250123 -The authors could provide more details regarding the recruitment process (e.g. which social media platforms were used) -The authors can benefit from mentioning the potential limitation involving sampling error that might have caused a biased estimation vaccine acceptance. -Did the authors check for internal consistency of the 5C and VAX scales? If so, can they provide the Cronbach alpha values? -Can the authors provide a decision or reference number of the ethical approval of the study by the School of Psychological Sciences & Health Ethics Committee at the University of Strathclyde? -The authors are advised to submit the original questionnaire used in this study as a supplementary file to aid in the evaluation of their survey. Reviewer #2: The paper is clear and it addresses a relevant topic. Nevertheless some major revisions are required. In particular, Introduction Please provide a brief description of the main tools used to investigate vaccine hesitancy (For example, see doi:10.15167/2421-4248/jpmh2020.61.3.1448) Methods - Recruiting partecipants through social media posts and using an online questionnaire could lead selection bias, especially if the study aims to investigate older adults' attitudes. Please discuss this issue. Results Table 1. What "M" means? Plaese clarify Table 2. Please provide standard deviation/intrqurtile range Discussion There are some issues that could be adressed. In particular, the role of media and institutional comunication in determing attitudes towards vaccination should be described. Additionally it could be interesting discussing on the role of the public debate on vaccination policies. For example, possible restrictions (such travel ban) can determine intetion to get vaccinated? ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: Yes: Malik Sallam Reviewer #2: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. 17 Aug 2021 Please see attached response to reviewers document. Submitted filename: Response to Reviewers.docx Click here for additional data file. 13 Dec 2021 Changes in attitudes to vaccination as a result of the COVID-19 pandemic: A longitudinal study of older adults in the UK PONE-D-21-21111R1 Dear Dr. Williams, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Prof. Anat Gesser-Edelsburg, Ph.D. Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: Thanks for fully addressing the points raised during the review process. Thus, I endorse the current manuscript for publication ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: Yes: Malik Sallam 14 Dec 2021 PONE-D-21-21111R1 Changes in attitudes to vaccination as a result of the COVID-19 pandemic: A longitudinal study of older adults in the UK Dear Dr. Williams: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Prof. Anat Gesser-Edelsburg Academic Editor PLOS ONE
  28 in total

1.  Covid-19: European countries suspend use of Oxford-AstraZeneca vaccine after reports of blood clots.

Authors:  Jacqui Wise
Journal:  BMJ       Date:  2021-03-11

2.  Towards intervention development to increase the uptake of COVID-19 vaccination among those at high risk: Outlining evidence-based and theoretically informed future intervention content.

Authors:  Lynn Williams; Allyson J Gallant; Susan Rasmussen; Louise A Brown Nicholls; Nicola Cogan; Karen Deakin; David Young; Paul Flowers
Journal:  Br J Health Psychol       Date:  2020-09-05

3.  Validity of self-reported influenza and pneumococcal vaccination status among a cohort of hospitalized elderly inpatients.

Authors:  Susan A Skull; Ross M Andrews; Graham B Byrnes; Heath A Kelly; Terence M Nolan; Graham V Brown; Donald A Campbell
Journal:  Vaccine       Date:  2007-04-26       Impact factor: 3.641

4.  Older adults' vaccine hesitancy: Psychosocial factors associated with influenza, pneumococcal, and shingles vaccine uptake.

Authors:  Louise A Brown Nicholls; Allyson J Gallant; Nicola Cogan; Susan Rasmussen; David Young; Lynn Williams
Journal:  Vaccine       Date:  2021-05-20       Impact factor: 3.641

Review 5.  Use of seasonal influenza and pneumococcal polysaccharide vaccines in older adults to reduce COVID-19 mortality.

Authors:  Deus Thindwa; Maria Garcia Quesada; Yang Liu; Julia Bennett; Cheryl Cohen; Maria Deloria Knoll; Anne von Gottberg; Kyla Hayford; Stefan Flasche
Journal:  Vaccine       Date:  2020-06-19       Impact factor: 3.641

6.  Beyond confidence: Development of a measure assessing the 5C psychological antecedents of vaccination.

Authors:  Cornelia Betsch; Philipp Schmid; Dorothee Heinemeier; Lars Korn; Cindy Holtmann; Robert Böhm
Journal:  PLoS One       Date:  2018-12-07       Impact factor: 3.240

7.  Attitudes and Beliefs on Influenza Vaccination during the COVID-19 Pandemic: Results from a Representative Italian Survey.

Authors:  Alexander Domnich; Maura Cambiaggi; Alessandro Vasco; Luca Maraniello; Filippo Ansaldi; Vincenzo Baldo; Paolo Bonanni; Giovanna Elisa Calabrò; Claudio Costantino; Chiara de Waure; Giovanni Gabutti; Vincenzo Restivo; Caterina Rizzo; Francesco Vitale; Riccardo Grassi
Journal:  Vaccines (Basel)       Date:  2020-11-30

8.  WHO Declares COVID-19 a Pandemic.

Authors:  Domenico Cucinotta; Maurizio Vanelli
Journal:  Acta Biomed       Date:  2020-03-19

9.  Challenges in creating herd immunity to SARS-CoV-2 infection by mass vaccination.

Authors:  Roy M Anderson; Carolin Vegvari; James Truscott; Benjamin S Collyer
Journal:  Lancet       Date:  2020-11-04       Impact factor: 79.321

10.  Italian Adults' Likelihood of Getting COVID-19 Vaccine: A Second Online Survey.

Authors:  Luigi Roberto Biasio; Guglielmo Bonaccorsi; Chiara Lorini; Daniela Mazzini; Sergio Pecorelli
Journal:  Vaccines (Basel)       Date:  2021-03-17
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  6 in total

Review 1.  COVID-19 Vaccines in Older Adults: Challenges in Vaccine Development and Policy Making.

Authors:  Chih-Kuang Liang; Wei-Ju Lee; Li-Ning Peng; Lin-Chieh Meng; Fei-Yuan Hsiao; Liang-Kung Chen
Journal:  Clin Geriatr Med       Date:  2022-03-21       Impact factor: 3.529

2.  Change in willingness to COVID-19 vaccination in China: Two online surveys during the pandemic.

Authors:  Ninghua Huang; Chao Wang; Bingfeng Han; Tianshuo Zhao; Bei Liu; Linyi Chen; Mingzhu Xie; Hui Zheng; Sihui Zhang; Yu Wang; Du Juan; YaQiong Liu; QingBin Lu; Fuqiang Cui
Journal:  J Med Virol       Date:  2022-07-23       Impact factor: 20.693

3.  Vaccine Resistance and Hesitancy among Older Adults Who Live Alone or Only with an Older Partner in Community in the Early Stage of the Fifth Wave of COVID-19 in Hong Kong.

Authors:  Dexing Zhang; Weiju Zhou; Paul Kwok-Ming Poon; Kin On Kwok; Tracy Wai-Sze Chui; Phoebe Hoi Yi Hung; Bonny Yin Tung Ting; Dicken Cheong-Chun Chan; Samuel Yeung-Shan Wong
Journal:  Vaccines (Basel)       Date:  2022-07-13

4.  Factors associated with reversals of COVID-19 vaccination willingness: Results from two longitudinal, national surveys in Japan 2021-2022.

Authors:  Cyrus Ghaznavi; Daisuke Yoneoka; Takayuki Kawashima; Akifumi Eguchi; Michio Murakami; Stuart Gilmour; Satoshi Kaneko; Hiroyuki Kunishima; Wataru Naito; Haruka Sakamoto; Keiko Maruyama-Sakurai; Arata Takahashi; Yoshihiro Takayama; Yuta Tanoue; Yoshiko Yamamoto; Tetsuo Yasutaka; Hiroaki Miyata; Shuhei Nomura
Journal:  Lancet Reg Health West Pac       Date:  2022-07-21

5.  Evidence of Validity and Measurement Invariance by Gender of the Vaccination Attitudes Examination (VAX) Scale in Colombian University Students.

Authors:  Begoña Espejo; Marta Martín-Carbonell; Kelly Carolina Romero-Acosta; Martha Fernández-Daza; Yadid Paternina
Journal:  J Clin Med       Date:  2022-08-10       Impact factor: 4.964

6.  Understanding change in COVID-19 vaccination intention with network analysis of longitudinal data from Dutch adults.

Authors:  Monique Chambon; Wesley G Kammeraad; Frenk van Harreveld; Jonas Dalege; Janneke E Elberse; Han L J van der Maas
Journal:  NPJ Vaccines       Date:  2022-10-01       Impact factor: 9.399

  6 in total

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