Beliefs and attitudes towards the influenza vaccine in high-risk individuals

Vaccination Motivators and Deterrents Among Undervaccinated Older Adults in North Dakota

Despite increased risk of morbidity and mortality among older adults due to preventable infectious diseases such as influenza, shingles, pneumonia, and COVID-19, many forego receiving some, if not all, of these vaccinations. This study examines vaccination motivators and deterrents for undervaccinated older adults in North Dakota (ND). Adults aged 65+ in ND were mailed a survey (n = 901) with questions gauging vaccination behaviors and perceptions, with 132 of these indicating not receiving certain vaccinations. Further questions assessed reasons they have not been vaccinated against the following diseases: influenza, shingles, pneumonia, and COVID-19 (e.g., "Concerned about side effects", "Vaccines are dangerous", "I'm healthy and I do not need it") and what would make it more likely to get a vaccine (e.g., "More information", "Doctor recommendation", "Easy access to vaccines"). Reasons for remaining unvaccinated varied by vaccine. For influenza and pneumococcal vaccines, respondents were more likely to indicate they are healthy and do not need the vaccine. For shingles and COVID-19, respondents were more likely to indicate concerns about side effects. Factors reported to motivate increasing the likelihood of getting a vaccine were receiving a doctor recommendation, receiving more information, and having a vaccine provided at no cost. These results contribute to our understanding of vaccination behaviors among older adults and underscore specific issues around which to frame interventions tailored to increase vaccine uptake for this population.

The impact of attitude toward COVID-19 vaccine on intention to receive influenza vaccination: a multi-group comparison based on the influence of presumed influence model and spillover effects

Introduction

Influenza vaccination is one of the most important strategies for preventing influenza. However, the influenza vaccination rate in China remains low. During the COVID-19 pandemic, people held different attitudes toward the COVID-19 vaccine. In the post-pandemic era, do the varying attitudes toward the COVID-19 vaccine affect the intention to receive influenza vaccination?

Methods

Based on the influence of presumed influence (IPI) model and spillover effects, this study employed structural equation modeling for multi-group comparison to analyze questionnaires from 613 participants, using instruments such as the Perceived Media Influence on Others Scale (PMIO), the Susceptibility to Influenza Scale (SI), and the Attitude toward Influenza Vaccine Scale (AIV).

Results

The key findings are as follows: (1) Information exposure to the influenza vaccine significantly influences perceived media influence on others. (2) Perceived media influence on others does not directly impact the intention to receive influenza vaccination but rather affects it through attitude toward the influenza vaccine. (3) Moreover, multi-group analyses revealed differences in the IPI model among audiences with different attitudes toward the COVID-19 vaccine. These differences demonstrated that prior attitudes toward the COVID-19 vaccine can influence attitudes toward similar influenza vaccines, thus demonstrating the existence of spillover effects.

Conclusion

Attitude toward the COVID-19 vaccine can influence the intention to receive the influenza vaccination. Those with a negative attitude toward the COVID-19 vaccine are significantly influenced by susceptibility to influenza. Perceived media influence affects the intention to receive the influenza vaccination among those with a positive attitude toward the COVID-19 vaccine.

Determinants of uptake of influenza, zoster and pneumococcal vaccines in patients with cardiovascular diseases

BACKGROUND

Globally, cardiovascular disease (CVD) is the leading cause of death and illness. Vaccine-preventable infections may increase acute coronary vascular disease events and the risk of complications. Low vaccine coverage has been reported among adults at high risk of complications from vaccine-preventable infections. There is a gap in research evidence around determinants of uptake of vaccines among adults with CVD. This study examined the uptake of influenza, pneumococcal and zoster vaccines and the determinants of uptake of the vaccines among cardiac patients.

METHOD

A prospective cross-sectional study was carried out among hospitalised cardiac patients through an interviewer-administered questionnaire. Descriptive statistics were used to investigate self-reported uptake of influenza, pneumococcal and zoster vaccines. Univariate and multivariate analyses of participants' social demographic and clinical characteristics were conducted to identify factors for receiving influenza vaccine.

RESULTS

Low vaccination rates among 104 participants were found for influenza (45.2%), pneumococcal (13.5%) and zoster (5.8%) vaccines. The most common reason for not receiving influenza vaccine was concern about side effects. Lack of awareness about the pneumococcal and zoster vaccines was the main reason for the poor uptake of these vaccines. Australia-born participants were more likely to receive influenza vaccine than overseas-born participants. Working-age participants and, interestingly, people living with a current smoker were less likely to receive influenza vaccine.

CONCLUSION

Influenza, pneumococcal and zoster vaccine uptake among cardiac patients was low. Encouraging physician recommendations for vaccination for cardiac patients under 65 years of age and addressing vaccination challenges among people from culturally and linguistically diverse backgrounds and pharmacy, workplace, and hospital vaccination may help increase vaccination uptake among cardiac patients.

Health beliefs and attitudes toward Influenza and COVID-19 vaccination in Portugal: a study using a mixed-method approach

Introduction

Vaccination is one of the most effective population strategies to prevent infectious diseases and mitigate pandemics, and it is important to understand vaccine uptake determinants since vaccine hesitancy has been increasing for the past few decades. The Health Belief Model (HBM) has been widely used for understanding vaccination behavior. The current study aimed to assess influenza vaccine (IV) non-uptake and attitudes toward COVID-19 vaccination, two important respiratory diseases with similar symptoms, and routes of transmission in the Portuguese population.

Methods

We conducted a cross-sectional study using a panel sample of randomly chosen Portuguese households. A total of 1,050 individuals aged 18 years and over responded to a telephone or online questionnaire. Through a mixed-method approach, we employed thematic content analysis to describe reasons for not taking the IV, considering the HBM dimensions, and quantitative statistical analysis to estimate IV and COVID-19 vaccine coverage.

Results

The IV uptake for the overall population was 30.7% (CI 95%: 26.5, 35.2). Susceptibility was found to be a main factor for IV non-uptake, followed by barriers, such as stock availability and fear of adverse effects. The uptake of the COVID-19 vaccine was very high in the study population (83.1%, CI 95%: 13.6%-20.9%). There was a high perception of COVID-19-associated severity and fear of the consequences. Individuals who reported IV uptake seemed to perceive a higher severity of COVID-19 and a higher benefit of taking the COVID-19 vaccine for severe complications.

Discussion

Thus, the population does not seem to consider influenza to be a health risk, as opposed to COVID-19, which is considered to be a possibly severe disease. The association between IV uptake and COVID-19 perceptions highlights that an overall attitude toward vaccination in general may be an important individual determinant.

Motivators for the public to receive the seasonal influenza vaccination and the effect of coronavirus disease 2019 pandemic on the uptake of the seasonal influenza vaccination

BACKGROUND

The coverage of the seasonal influenza vaccine has always been sub-par. Understanding the motivators of receiving vaccines, especially during pandemics, could enhance and increase the coverage rates. The Saudi Ministry of Health launched its annual influenza vaccination campaign during the 2021 influenza season and provided vaccinations in primary healthcare settings. This study aims to explore public motivators to receive influenza vaccination, particularly during the coronavirus disease 2019 global pandemic.

MATERIALS AND METHODS

This cross-sectional study enrolled 783 participants who attended the influenza vaccination campaign. All persons who received the influenza vaccine in the influenza vaccination campaign held in Dammam, Saudi Arabia, from October to November 2021, were interviewed and completed a self-administered questionnaire. Odds ratio with a 95% confidence interval were estimated using the full model fit. The significance level was set as α = 0.05.

RESULTS

The majority of the participants had more than high school education (81%), were males (66.2%), and married (59.6%), and 50.6% were below 35 years of age. Participants with higher education, health-care workers, and those who had been previously counseled on influenza vaccination were less likely to have started taking the influenza vaccination, whereas smokers and persons who do not have routine checkups were more likely to start influenza vaccination. The main motivator to take the influenza vaccine was the establishment of a vaccination campaign near the participant's workplace (62.2%), followed by advice from their physician (30.3%), and fear of having influenza disease (29.6%).

CONCLUSION

Accessibility to the vaccination campaigns was the main motivator for receiving the vaccine followed by the advice from physician. Advice from physician and increasing mobile vaccination campaigns and mobile clinics would substantially increase influenza vaccine uptake.

Extracting factors associated with vaccination from Twitter data and mapping to behavioral models

Social media platform, particularly Twitter, is a rich data source that allows monitoring of public opinions and attitudes toward vaccines.Established behavioral models like the 5C psychological antecedents model and the Health Belief Model (HBM) provide a well-structured framework for analyzing shifts in vaccine-related behavior. This study examines if the extracted data from Twitter contains valuable insights regarding public attitudes toward vaccines and can be mapped to two behavioral models. This study focuses on the Arab population, and a search was carried out on Twitter using: ' تلقيحي OR تطعيم OR تطعيمات OR لقاح OR لقاحات' for two years from January 2020 to January 2022. Then, BERTopicmodeling was applied, and several topics were extracted. Finally, the topics were manually mapped to the factors of the 5C model and HBM. 1,068,466 unique users posted 3,368,258 vaccine-related tweets in Arabic. Topic modeling generated 25 topics, which were mapped to the 15 factors of the 5C model and HBM. Among the users, 32.87%were male, and 18.06% were female. A significant 55.77% of the users were from the MENA (Middle East and North Africa) region. Twitter users were more inclined to accept vaccines when they trusted vaccine safety and effectiveness, but vaccine hesitancy increased due to conspiracy theories and misinformation. The association of topics with these theoretical frameworks reveals the availability and diversity of Twitter data that can predict behavioral change toward vaccines. It allows the preparation of timely and effective interventions for vaccination programs compared to traditional methods.

Updated beliefs and shaken confidence: evidence from vaccine hesitancy caused by experiencing "COVID arm"

BACKGROUND

Public health depends largely on people's knowledge, beliefs, or behaviors regarding their health and medical treatments. Although works based on the health belief model have shown that public beliefs about medical treatments affect willingness to take the treatments, little is known about the effects of changes in beliefs on attitudes toward treatment. How one's past experiences relate to one's beliefs about a given medical treatment is worth considering.

METHODS

We implemented an online panel survey in February 2021 and March 2022 in Japan before and after COVID-19 vaccines were administered to the public within the country. We exploited delayed localized hypersensitivity reactions to COVID-19 vaccines, namely, "COVID arm", as an exogenous shock to investigate the relationship between past negative experiences and current beliefs about medical treatments or science. "COVID arm" was an unexpected side effect and thus likely caused updated beliefs about the vaccine. Out of the nonprobability sample of 15,000 respondents in the first wave in February 2021, 9,668 respondents also responded to the second wave conducted in March 2022. Outcome variables were whether experiencing "COVID arm" affected the respondents' 1) confidence in vaccine safety, 2) willingness to take the next dose of COVID-19 vaccines, 3) acknowledgment of the importance of vaccination, and 4) confidence in science. We measured the impact of experience with "COVID arm" on changes in the probability that survey respondents would respond affirmatively to questions posed about the issues listed above.

RESULTS

Experiencing "COVID arm" significantly lowered confidence in the safety of vaccination by 4.3 percentage points, which was approximately 6% of the sample mean for the first wave, and lowered the probability of taking a second dose of the COVID-19 vaccine by 1.5 percentage points. These adverse impacts were observed after conditioning background characteristics and prior confidence in vaccination. Experiencing "COVID arm" affected neither the acknowledged importance of vaccination nor confidence in science in a statistically significant way.

CONCLUSIONS

An unexpected and uncomfortable shock regarding beliefs about a treatment decreases willingness to take the treatment. An appropriate public health policy should account for this effect.

TRIAL REGISTRATION

The survey was preregistered with the American Economic Association's RCT Registry (Fukai et al., 2022).

HPV Vaccination Behavior, Vaccine Preference, and Health Beliefs in Chinese Female Health Care Workers: A Nationwide Cross-Sectional Study

Human papillomavirus (HPV) vaccination has been proven to be the most effective method to prevent cervical cancer. This study aimed to determine the HPV vaccination behavior and preference in Chinese female health care workers. A nationwide cross-sectional study was performed to recruit 15,967 respondents aged 18-45 years from 31 provinces in China's mainland in 2021. Of them, 30.0% have been vaccinated or have made an appointment. Regardless of actual vaccination status, respondents mostly preferred the 9-valent HPV vaccine (58.6%), followed by 4-valent (15.6%) and 2-valent vaccines (3.1%); additionally, 17.9% did not have a preference. Moreover, health beliefs on HPV and HPV vaccination were measured using a health belief model (HBM) analysis. Six HBM constructs differed significantly by HPV vaccination status. Higher levels of perceived susceptibility (beta = 0.074), perceived benefit (beta = 0.072), self-efficacy (beta = 0.304), and cues to action (beta = 0.039) scales were significantly associated with increasing HPV vaccine uptake. In contrast, perceived severity (beta = -0.019) and perceived barriers (beta = -0.089) were negative factors. In conclusion, HPV vaccine uptake is high in Chinese female health care workers. HBM constructs may be effective in facilitating the improvement and delivery of targeted intervention programs to increase HPV vaccine uptake.

Barriers to and facilitators of populational adherence to prevention and control measures of COVID-19 and other respiratory infectious diseases: a qualitative evidence synthesis

AIMS

To summarise the evidence on barriers to and facilitators of population adherence to prevention and control measures for coronavirus disease 2019 (COVID-19) and other respiratory infectious diseases.

METHODS

A qualitative synthesis was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis and the Cochrane Effective Practice and Organization of Care: Qualitative Evidence Synthesis. We performed an electronic search on MEDLINE, Embase and PsycINFO from their inception to March 2023.

RESULTS

We included 71 studies regarding COVID-19, pneumonia, tuberculosis, influenza, pertussis and H1N1, representing 5966 participants. The measures reported were vaccinations, physical distancing, stay-at-home policy, quarantine, self-isolation, facemasks, hand hygiene, contact investigation, lockdown, infection prevention and control guidelines, and treatment. Tuberculosis-related measures were access to care, diagnosis and treatment completion. Analysis of the included studies yielded 37 barriers and 23 facilitators.

CONCLUSIONS

This review suggests that financial and social support, assertive communication, trust in political authorities and greater regulation of social media enhance adherence to prevention and control measures for COVID-19 and infectious respiratory diseases. Designing and implementing effective educational public health interventions targeting the findings of barriers and facilitators highlighted in this review are key to reducing the impact of infectious respiratory diseases at the population level.

Assessment of Influenza Vaccine Uptake According to the Presence of a Chronic Disease

Patients diagnosed with a chronic disease are at higher risk of influenza complications. This investigation aimed to estimate influenza vaccine uptake rates among healthy subjects and patients with chronic diseases, and to identify barriers to and facilitators of its uptake. This study was a cross-sectional investigation that targeted the general population in the Jazan region of Saudi Arabia. Data were collected via online platforms between October and November 2022. Data were collected via a self-administered questionnaire that assessed the demographics, influenza vaccine uptake, and factors associated with the uptake. A chi-squared test was used to investigate factors associated with the uptake of the influenza vaccine. A total of 825 adult subjects participated in the current investigation. The proportion of male participants was higher (61%) compared to females (38%). The mean age of the participants was 36, with a standard deviation of 10.5. Nearly 30% of the sample reported being diagnosed with a chronic disease. Among the recruited sample, 576 (69.8%) reported having ever received the influenza vaccine, and only 222 participants (27%) indicated that they receive the influenza vaccination annually. Only history of being diagnosed with a chronic disease was statistically associated with the history of ever receiving the influenza vaccine (p < 0.001). Among the 249 participants with a chronic disease, only 103 (41.4%) ever received the influenza vaccine and only 43 (17.3%) of them received the vaccine annually. The main barrier to the uptake was fear of side effects due to the vaccination. A minority of the participants indicated that they were motivated by a healthcare worker to have the vaccine. This suggests an area for further investigation to assess the involvement of healthcare workers in motivating their patients with chronic diseases to have the vaccine.

The COVID-19 vaccination decision-making preferences of elderly people: a discrete choice experiment

COVID-19 is a continuing threat to global public health security. For elderly people, timely and effective vaccination reduces infection rates in this group and safeguards their health. This paper adopted an offline Discrete Choice Experiment (DCE) to research the preference for COVID-19 vaccination amongst Chinese adults aged 50 years and above. Through multinomial logistic regression analysis, our DCE leverages five attributes-the risk of adverse reactions, protective duration, injection doses, injection period, and effectiveness-each of which is split into three to four levels. The risk of adverse reaction and the protective duration were demonstrated to be determinants of vaccination preference. Moreover, it was found that socio demographic factors like region, self-health assessment and the number of vaccinated household members can strengthen or weaken the effects of vaccine attributes. In conclusion, the preferences of the elderly population should be considered when developing COVID-19 vaccination programs for this population in China. Accordingly, the results may provide useful information for policymakers to develop tailored, effectively vaccination strategies.

Microbiota dysbiosis influences immune system and muscle pathophysiology of dystrophin-deficient mice

Duchenne muscular dystrophy (DMD) is a progressive severe muscle-wasting disease caused by mutations in DMD, encoding dystrophin, that leads to loss of muscle function with cardiac/respiratory failure and premature death. Since dystrophic muscles are sensed by infiltrating inflammatory cells and gut microbial communities can cause immune dysregulation and metabolic syndrome, we sought to investigate whether intestinal bacteria support the muscle immune response in mdx dystrophic murine model. We highlighted a strong correlation between DMD disease features and the relative abundance of Prevotella. Furthermore, the absence of gut microbes through the generation of mdx germ-free animal model, as well as modulation of the microbial community structure by antibiotic treatment, influenced muscle immunity and fibrosis. Intestinal colonization of mdx mice with eubiotic microbiota was sufficient to reduce inflammation and improve muscle pathology and function. This work identifies a potential role for the gut microbiota in the pathogenesis of DMD.

Factors Influencing COVID-19 Vaccine Hesitancy among Patients with Serious Chronic Illnesses during the Initial Australian Vaccine Rollout: A Multi-Centre Qualitative Analysis Using the Health Belief Model

Background: People with chronic illnesses have increased morbidity and mortality associated with COVID-19 infection. The influence of a person's serious and/or comorbid chronic illness on COVID-19 vaccine uptake is not well understood. Aim: To undertake an in-depth exploration of factors influencing COVID-19 vaccine uptake among those with various serious and/or chronic diseases in the Australian context, using secondary data analysis of a survey study. Methods: Adults with cancer, diabetes and multiple sclerosis (MS) were recruited from 10 Australian health services to undertake a cross-sectional online survey (30 June to 5 October 2021) about COVID-19 vaccine uptake, vaccine hesitancy, confidence and complacency and disease-related decision-making impact. Free-text responses were invited regarding thoughts and feelings about the interaction between the participant's disease, COVID-19, and vaccination. Qualitative thematic analysis was undertaken using an iterative process and representative verbatim quotes were chosen to illustrate the themes. Results: Of 4683 survey responses (cancer 3560, diabetes 842, and MS 281), 1604 (34.3%) included free-text comments for qualitative analysis. Participants who provided these were significantly less likely to have received a COVID-19 vaccination than those who did not comment (72.4% and 86.2%, respectively). People with diabetes were significantly less likely to provide free-text comments than those with cancer or MS (29.0%, 35.1% and 39.9%, respectively). Four key themes were identified from qualitative analysis, which were similar across disease states: (1) having a chronic disease heightened perceived susceptibility to and perceived severity of COVID-19; (2) perceived impact of vaccination on chronic disease management and disease-related safety; (3) uncertain benefits of COVID-19 vaccine; and (4) overwhelming information overload disempowering patients. Conclusions: This qualitative analysis highlights an additional layer of complexity related to COVID-19 vaccination decision making in people with underlying health conditions. Appreciation of higher susceptibility to severe COVID-19 outcomes appears to be weighed against uncertain impacts of the vaccine on the progression and management of the comorbid disease. Interactions by clinicians addressing individual factors may alleviate concerns and maximise vaccine uptake in people with significant underlying health conditions.

The association between health information technology and influenza vaccine uptake among adults with heart disease

Aim: Assess the association of health information technology (HIT) on influenza vaccine (IV) uptake among adults with heart disease. Methods: The association of four different uses of HIT - (1) look up health information, (2) schedule medical appointments, (3) refill prescriptions online and (4) communicate with healthcare providers on IV uptake - was analyzed using multiple logistic regression. Results: Adults with heart disease who use the internet to look up information (adjusted odds ratio [AOR] = 1.48, 95% CI: 1.39-1.59; p < 0.001), fill up prescription (AOR = 1.87, 95% CI: 1.69-2.06; p < 0.001), and communicate with a healthcare provider (AOR = 1.95, 95% CI: 1.23-3.10; p = 0.005) had a higher uptake of IV unlike those who did not. Conclusion: Using the internet in patient-healthcare system engagement via HIT was associated with increase IV uptake. Future studies should assess the impact of population-level variables on this relationship.

Drivers of and barriers to routine adult vaccination: A systematic literature review

We performed a systematic literature review in PubMed and Embase (2016-2021) to investigate the drivers of and barriers to routine vaccination in adults aged 50 and older globally. A thematic assessment identified three categories across 61 publications: sociodemographic, health-related, and attitudinal. The most common sociodemographic determinants (factors identified in studies; n = 47) associated with vaccination uptake were economic status, age, education, and household composition, which had mixed effects on vaccine uptake. For health-related determinants (n = 27), individuals with comorbidities and health care consumption were the most common factors, both increased vaccine uptake. The most common attitudinal factors (n = 42) were self-efficacy, provider or other's recommendations, and vaccine-preventable disease awareness; across studies, all attitude factors had a positive effect, unlike the sociodemographic and health status categories. Findings suggest that patient and provider awareness and education campaigns are effective ways to increase uptake of routine vaccinations in older adults.

COVID-19 Vaccination Acceptance in the Context of the Health Belief Model: Comparative Cross-Sectional Study in Punjab, Pakistan

One of the models that could be used to understand the adoption of vaccine uptake is the Health Belief Model (HBM). The aim of this study is to assess the role of HBM constructs and Perceived Health Status (PHS) on the vaccination status of individuals and to understand the role of socio-demographic variables on HBM scoring. A comparative cross-sectional telephone survey was conducted among 1325 vaccinated (60.0%) and non-vaccinated (40.0%) individuals aged 40 years and above in July 2021 in Punjab province, Pakistan. A higher level of education was the strongest predictor of positive HBM. All constructs of HBM, PHS and cues-to-action were significant predictors of COVID-19 vaccination uptake, with perceived benefits as the strongest predictor. In order to expand the vaccination coverage, double-pronged interventions utilizing both information and communication technology and human resources should be designed that address each barrier perceived by individuals and understandably communicate the benefits of COVID-19 vaccination to the broader population.

COVID-19 Vaccination Status and Hesitancy among Breast Cancer Patients after Two Years of Pandemic: A Cross-Sectional Survey

Background: Patients with cancer show greater susceptibility and vulnerability to severe acute respiratory syndrome coronavirus 2 infection. However, data on the vaccination status among patients with breast cancer and any structured analysis of the factors influencing patients’ decisions regarding vaccines are lacking. Methods: This cross-sectional study on patients with breast cancer in China was conducted from 1 June 2022, to 17 June 2022. Every participant completed an online questionnaire about their vaccination status and any adverse reactions, and a scale based on the Health Belief Model (HBM) to assess the vaccination status of respondents and their willingness to receive following doses or boosters. Results: Among the 1132 participants, 55.2% had received a COVID-19 vaccine. The incidence of adverse events per dose was around 40%. Vaccine hesitancy of 61.9% was observed among patients who had not fully received three doses of vaccine or boosters. The only variable found to be associated with vaccine hesitancy was time since diagnosis (p < 0.05). In the HBM scale, vaccine hesitancy was closely related to a low level of perceived susceptibility, a low level of perceived benefit, a high level of perceived barriers and a low level of agreement with doctors’ advice. Conclusions: For patients with breast cancer, perceived susceptibility, benefits and barriers should be prioritized, and the advice from authoritative doctors is a vital cue to action.

Cohort profile: the British Columbia COVID-19 Population Mixing Patterns Survey (BC-Mix)

PURPOSE

Several non-pharmaceutical interventions, such as physical distancing, handwashing, self-isolation, and school and business closures, were implemented in British Columbia (BC) following the first laboratory-confirmed case of COVID-19 on 26 January 2020, to minimise in-person contacts that could spread infections. The BC COVID-19 Population Mixing Patterns Survey (BC-Mix) was established as a surveillance system to measure behaviour and contact patterns in BC over time to inform the timing of the easing/re-imposition of control measures. In this paper, we describe the BC-Mix survey design and the demographic characteristics of respondents.

PARTICIPANTS

The ongoing repeated online survey was launched in September 2020. Participants are mainly recruited through social media platforms (including Instagram, Facebook, YouTube, WhatsApp). A follow-up survey is sent to participants 2-4 weeks after completing the baseline survey. Survey responses are weighted to BC's population by age, sex, geography and ethnicity to obtain generalisable estimates. Additional indices such as the Material and Social Deprivation Index, residential instability, economic dependency, and others are generated using census and location data.

FINDINGS TO DATE

As of 26 July 2021, over 61 000 baseline survey responses were received of which 41 375 were eligible for analysis. Of the eligible participants, about 60% consented to follow-up and about 27% provided their personal health numbers for linkage with healthcare databases. Approximately 83.5% of respondents were female, 58.7% were 55 years or older, 87.5% identified as white and 45.9% had at least a university degree. After weighting, approximately 50% were female, 39% were 55 years or older, 65% identified as white and 50% had at least a university degree.

FUTURE PLANS

Multiple papers describing contact patterns, physical distancing measures, regular handwashing and facemask wearing, modelling looking at impact of physical distancing measures and vaccine acceptance, hesitancy and uptake are either in progress or have been published.

Predicting COVID-19 vaccine hesitancy in Hong Kong: Vaccine knowledge, risks from coronavirus, and risks and benefits of vaccination

Introduction

Hongkongers have had access to COVID-19 vaccines for about four months, but vaccination rate remains low (34.4% as of 4 July 2021). Given that vaccine uptake is vital, this study aimed to determine how vaccine-hesitant and vaccinated individuals differ. The study also examined why people choose to delay vaccination (within 1 month, within 2 months, within 3 months, 3 months or more).

Material and Methods

A population-based online survey (N = 1654) was conducted between 22 and 30 June 2021, a month after the Hong Kong government announced "Say no to vaccine hesitancy" on its website. All adults aged 18 years and older were eligible to take part. The survey included sociodemographic details, perceived susceptibility to infection, and perceived vaccine efficacy and risks. A series of analyses of covariance was performed to inspect differences among the groups and multiple regression analyses were done to examine factors associated with COVID-19 vaccine hesitancy.

Results

With a vaccine hesitancy rate of 30.3%, analyses revealed that sociodemographic factors, party identification and self-reported health status had no effects on the degrees of vaccine hesitancy. While vaccine knowledge, perceived susceptibility to infection, and vaccine efficacy and safety were positive correlates of vaccine uptake, risks from vaccination and vaccine efficacy were positive correlates of vaccine hesitancy.

Conclusions

Hesitancy in Hong Kong is more about vaccine efficacy and safety, and less about infection risks. Specifically, respondents expressed concerns about the particular vaccines supplied, especially BioNTech's efficacy and risks from Sinovac. While higher risk motivates longer preparation for vaccine uptake, higher levels of benefits from BioNTech could reduce hesitancy.

When a Neglected Tropical Disease Goes Global: Knowledge, Attitudes and Practices of Italian Physicians towards Monkeypox, Preliminary Results

Monkeypox (MPX) has been regarded as a neglected tropic disease of Western and Central Africa since the early 70s. However, during May 2022, an unprecedent outbreak of MPX has involved most of European Countries, as well as North and South America. While the actual extent of this outbreak is being assessed by health authorities, we performed a pilot study on specific knowledge, attitudes, and practices (KAP) in a sample of Italian medical professionals (24-30 May 2022; 10,293 potential recipients), focusing on Occupational Physicians (OP), Public Health Professionals (PH), and General Practitioners (GP), i.e., medical professionals more likely involved in the early management of incident cases. More specifically, we inquired into their attitude on the use of variola vaccine in order to prevent MPX infection. From a total of 566 questionnaire (response rate of 5.5%), 163 participants were included in the final analyses. Knowledge status was quite unsatisfying, with substantial knowledge gaps on all aspect of MPX. In turn, analysis of risk perception suggested a substantial overlooking of MPX as a pathogen, particularly when compared to SARS-CoV-2, TB, HIV, and HBV. Overall, 58.6% of respondents were somehow favorable to implement variola vaccination in order to prevent MPX, and the main effectors of this attitude were identified in having been previously vaccinated against seasonal influenza (adjusted Odds Ratio [aOR] 6.443, 95% Confidence Interval [95%CI] 1.798-23.093), and being favorable to receive variola vaccine (aOR 21.416; 95%CI 7.290-62.914). In summary, the significant extent of knowledge gaps and the erratic risk perception, associated collectively stress the importance of appropriate information campaigns among first-line medical professionals.

The level and determinants of COVID-19 vaccine acceptance in Ghana

Objective

As part of the efforts to curb the COVID-19 pandemic, the government of Ghana has received several shipments of approved vaccines, and administration has begun in the country. Studies examining the determinants of COVID-19 vaccine acceptance in Ghana were mostly conducted before the vaccination exercise. Vaccine acceptance decisions however vary with time and hence, peoples’ decisions may have changed once vaccines became accessible. This study examines the level and determinants of COVID-19 vaccine acceptance among adult Ghanaians during the vaccination exercise.

Methods

The study was a cross-sectional online survey involving Ghanaian adults (18 years and above) eligible to take the COVID-19 vaccine. The study was conducted from 18th May 2021 to 14th July 2021 and the questionnaire was answered by 362 respondents. Snowball sampling technique was utilized to obtain the respondents. Probit regression analysis was used to identify factors influencing COVID-19 vaccine acceptance.

Key findings

Only 62.7% of the respondents indicated that they will accept the COVID-19 vaccine if provided. The regression results revealed that the decision to accept the COVID-19 vaccine was influenced by occupation, perceived susceptibility, perceived benefits and attitudes towards the vaccines.

Conclusion

The findings suggest that government must implement strategies to enhance positive attitudes toward vaccines, increase the risk perception of contracting the virus and also educate the populace about the benefits of the vaccine.

Factors Associated with COVID-19 Vaccine Acceptance in Morocco: Applying the Health Belief Model

To identify factors that influenced Moroccans’ intention to get a COVID-19 vaccine, a cross-sectional survey among a Moroccan sample was conducted based on Health Belief Model constructs. Participants’ sociodemographic characteristics, perceived susceptibility, perceived severity, perceived barriers, perceived benefits, self-efficacy, cues to action, and intention to receive vaccine data were collected and analyzed using a structural equation model (SEM). The survey was completed by 3800 individuals; 57.2% were men, 44.5% were aged 30 to 44, and 44.6% were married. After controlling for confounders, being a woman and having a chronic disease were associated with higher acceptance of the COVID-19 vaccine. The strongest predictor for the intention of receiving a vaccine was participants who were married. Most of the HBM constructs were shown to be significantly associated with vaccine acceptance. Susceptibility and Benefits were the strongest predictors of acceptance of the COVID-19 vaccine (standardized path coefficient, SPC = 0.23), followed by Severity (SPC = 0.22). Conversely, given the negative correlation between barriers and intention (SPC = −0.08), it is necessary to maintain a high level of transparency regarding the vaccines’ safety. Our study provides guidance for an implementation of vaccination strategies, intending to bolster the overall COVID-19 immunization program.

Development and Psychometric Properties of the Health Belief Scales toward COVID-19 Vaccine: A Cross-Sectional Study in North-Eastern Poland

In the study, we evaluated the psychometric properties of the Health Belief Scales Toward COVID-19 Vaccine, including the structure, reliability and validity of the scale. Psychometric properties were assessed on a general sample of 472 Polish participants aged between 19 and 69 years (M = 25.43). The procedure consisted of completing the Health Belief Scales Toward COVID-19 Vaccine, the World Health Organization’s 5-item Well-being Index (WHO-5) and demographic questions. The presented research results obtained using the measure indicate that it can be considered to be a reliable and valid research tool. A four-factor solution demonstrated a good fit to the data: χ2/df = 3.90, RMSEA = 0.079, AGFI = 0.913, GFI = 0.951, CFI = 0.960, TLI = 0.941. The reliability measures for the overall index of the Health Belief Scales Toward COVID-19 Vaccine were: Cronbach’s α = 0.88 and McDonald’s ω = 0.87. The Health Belief Scales Toward COVID-19 Vaccine total score correlated negatively and weakly with the WHO-5 score. The Health Belief Scales Toward COVID-19 Vaccine proved to be a valid and a reliable tool to assess attitudes towards vaccination in four dimensions consistent with the HBM.

A multi-method analytical approach to predicting young adults' intention to invest in mHealth during the COVID-19 pandemic

Mobile-based health (mHealth) systems are proving to be a popular alternative to the traditional visits to healthcare providers. They can also be useful and effective in fighting the spread of infectious diseases, such as the COVID-19 pandemic. Even though young adults are the most prevalent mHealth user group, the relevant literature has overlooked their intention to invest in and use mHealth services. This study aims to investigate the predictors that influence young adults' intention to invest in mHealth (IINmH), particularly during the COVID-19 crisis, by designing a research methodology that incorporates both the health belief model (HBM) and the expectation-confirmation model (ECM). As an expansion of the integrated HBM-ECM model, this study proposes two additional predictors: mobile Internet speed and mobile Internet cost. A multi-method analytical approach, including partial least squares structural equation modelling (PLS-SEM), fuzzy-set qualitative comparative analysis (fsQCA), and machine learning (ML), was utilised together with a sample dataset of 558 respondents. The dataset-about young adults in Bangladesh with an experience of using mHealth-was obtained through a structured questionnaire to examine the complex causal relationships of the integrated model. The findings from PLS-SEM indicate that value-for-money, mobile Internet cost, health motivation, and confirmation of services all have a substantial impact on young adults' IINmH during the COVID-19 pandemic. At the same time, the fsQCA results indicate that a combination of predictors, instead of any individual predictor, had a significant impact on predicting IINmH. Among ML methods, the XGBoost classifier outperformed other classifiers in predicting the IINmH, which was then used to perform sensitivity analysis to determine the relevance of features. We expect this multi-method analytical approach to make a significant contribution to the mHealth domain as well as the broad information systems literature.

Determinants and Variations of COVID-19 Vaccine Uptake and Responses Among Minority Ethnic Groups in Amsterdam, the Netherlands

The outbreak of the deadly novel coronavirus disease (COVID-19) has disrupted life worldwide in an unprecedented manner. Over the period, scientific breakthroughs have resulted in the rollout of many vaccination programmes to protect against the disease, reduce the fear and ease public health restrictions for lives to return to some normalcy. The aim of this study was to identify the factors responsible for COVID-19 vaccine acceptance or vaccine hesitancy and to develop a framework to improve vaccine uptake in the Ghanaian-Dutch, Afro and Hindustani Surinamese-Dutch communities in Amsterdam. Using a mixed method approach, this community-based cross-sectional survey recruited 160 respondents consisting of 57 Ghanaian-Dutch, 54 Afro Surinamese-Dutch and 49 Hindustani-Dutch residents in Amsterdam. Our findings showed that the choice of a vaccine as well as the likelihood of self-reported willingness to receive a vaccine is highly dependent on vaccine efficacy and safety. Available evidence of high vaccine effectiveness and safety could encourage about 41.3% of the respondents to accept the vaccine. Additionally, 69.6% of the respondents indicated their willingness to accept the vaccine when vaccine passports are made mandatory by the government. Other major factors that could drive the likelihood of accepting the COVID-19 vaccine include travel requirement for vaccination (28.3%), the safety/probability of only minor side effects (26.1%) and recommendation by family and friends (15.2%). The study therefore provides systematic evidence of factors associated with individual preferences toward COVID-19 vaccination. It demonstrates that the needs of each community are unique and specific interventional efforts are urgently needed to address concerns likely to be associated with vaccine hesitancy.

Reasons for nonadherence to vaccination for influenza among older people in Brazil

This study aimed to estimate the prevalence of non-vaccination and the reasons for nonadherence to the influenza vaccine among older Brazilians according to sociodemographic characteristics. A cross-sectional study was conducted with data from older people (≥ 60 years of age; n = 23,815) who participated in the 2013 National Health Survey. Frequencies of non-vaccination and the main reasons for nonadherence were calculated with respective 95% confidence intervals. The prevalence of non-vaccination was 26.9% (approximately 7,106,730 older people). The reason rarely gets the flu was the most cited among the men (28.2%), the 60-to-69-year-old age group (29.6%), individuals with higher education (41.9%), and those with health insurance (32.3%). Fear of a reaction was the most cited reason in the northeastern region (25.4%), among women (29.3%), longer-lived individuals (≥70 years; 28.7%), and those who did not know how to read/write (26.7%). A total of 12.1% reported not believing in the vaccine's protection, and 5.5% did not know that it was necessary to take vaccine. The proportions of the main reasons for non-vaccination varied by sociodemographic characteristics. This study's findings highlight the need to increase older people's knowledge regarding influenza and influenza vaccines. Healthcare providers should be encouraged to counsel older people-especially those in subgroups with lower adherence, such as residents in the Northeast region, those aged 60-69 years, those who do not know how to read/write, those without a spouse/companion, and those without health insurance-regarding the different aspects of the vaccine and formally indicate it for groups at risk.

Changes in Mental Health and Preventive Behaviors before and after COVID-19 Vaccination: A Propensity Score Matching (PSM) Study

Mass vaccination against the COVID-19 pandemic is ongoing worldwide to achieve herd immunity among the general population. However, little is known about how the COVID-19 vaccination would affect mental health and preventive behaviors toward the COVID-19 pandemic. In this study, we conducted a cross-sectional survey to address this issue among 4244 individuals at several COVID-19 vaccination sites in Guangzhou, China. Using univariate analysis and multiple linear regression models, we found that major demographic characteristics, such as biological sex, age, education level, and family per capita income, are the dominant influencing factors associated with health beliefs, mental health, and preventive behaviors. After propensity score matching (PSM) treatment, we further assessed the changes in the scores of health belief, mental health, and preventive behaviors between the pre-vaccination group and the post-vaccination group. When compared to individuals in the pre-vaccination group, a moderate but statistically significant lower score was observed in the post-vaccination group (p = 0.010), implying possibly improved psychological conditions after COVID-19 vaccination. In addition, there was also a moderate but statistically higher score of preventive behaviors in the post-vaccination group than in the pre-vaccination group (p < 0.001), suggesting a higher probability to take preventive measures after COVID-19 vaccination. These findings have implications for implementing non-pharmaceutical interventions combined with mass vaccination to control the rebound of COVID-19 outbreaks.

Factors associated with COVID-19 vaccination intentions and attitudes in France

Objectives

The objective of the study is to investigate the factors associated with COVID-19 vaccination intentions and attitudes in France.

Study design

An online cross-sectional study was conducted among a representative sample of the French population between November 20th and 23rd 2020 (N = 1146).

Methods

Factors associated with the intention to get vaccinated and with COVID-19 vaccine attitudes were estimated using ordered logistic and multinomial logistic regressions, respectively. Independent variables of interest include COVID-19 and vaccine perceptions, trust, endorsement of COVID-19 conspiracy theories and time/risk preferences.

Results

Only 30.5% of our respondents would agree to get vaccinated against COVID-19 during the first semester of 2021 while 31.1% declare being unsure of their vaccination intentions. COVID-19 risk perceptions are associated with vaccination intentions and attitudes. Individual and collective benefits of the vaccine and the concerns over its safety are strongly associated with COVID-19 vaccination intentions and attitudes. Vaccine acceptors are more willing to take risks in the health domain compared with vaccine hesitant respondents which indicates that the COVID-19 vaccine is perceived as a greater health risk than the COVID-19 itself by some respondents. We also find a positive association between future preference and the willingness to get vaccinated.

Conclusion

Awareness campaigns should be conducted to enhance vaccination uptake among vaccine hesitant individuals. These campaigns could highlight the positive benefit-risk balance of the COVID-19 vaccines or the short-term benefits of vaccination and should reinsure the public on the safety of the COVID-19 vaccines.

Using the health belief model to identify barriers to seasonal influenza vaccination among Australian adults in 2019

BACKGROUND

Each year tens of thousands of Australians become ill with influenza, resulting in thousands of severe infections that require hospitalisation. However, only 40% of adults receive the annual influenza vaccine. We surveyed Australian adults to provide up to date, population-specific data on the predictors and barriers of seasonal influenza vaccination.

METHODS

We administered an online survey to a nationally representative sample of Australian adults. We designed survey questions using the theoretical constructs of the health belief model. Using simple and multivariable Poisson regression, we identified attitudes and beliefs associated with influenza vaccination in 2019.

RESULTS

Among 1,444 respondents, 51.7% self-reported influenza vaccination in 2019. We estimated vaccine coverage to be 44% for adults under 45, 46% for adults aged 45 to 64 and 77% for adults aged 65 and over. The strongest individual predictors of self-reported vaccination were believing the vaccine is effective at preventing influenza (APR = 3.71; 95% CI = 2.87-4.80), followed by recalling their doctor recommending the vaccine (APR = 2.70; 95% CI = 2.31-3.16). Common perceived barriers that predicted self-reported vaccination included believing the vaccine could give you influenza (APR = 0.59; 95% CI = 0.52-0.67), believing the vaccine can make you ill afterwards (APR = 0.68; 95% CI = 0.62-0.74) and preferring to develop immunity "naturally" (APR = 0.38; 95% CI = 0.32-0.45).

CONCLUSION

Although vaccine uptake in 2019 appears to be higher than previous years, there are perceived barriers which may limit uptake among Australians. Tailored interventions are needed to combat widespread influenza vaccine hesitancy, particularly among high-risk groups.

Enablers and barriers to COVID-19 vaccine uptake: An international study of perceptions and intentions

The development of COVID-19 vaccines is occurring at unprecedented speeds, but require high coverage rates to be successful. This research examines individuals’ psychological beliefs that may act as enablers and barriers to vaccination intentions. Using the health beliefs model as a guide to our conceptual framework, we explore factors influencing vaccine hesitancy and health beliefs regarding risks and severity of the disease, along with individual variables such as income, age, religion, altruism, and collectivism. A questionnaire using newly created measures for various antecedents provided 4303 usable responses from Australia, Canada, England, New Zealand, and the United States. A factor analytic and structural equation model indicates that trust in vaccine approval, the perceived effectiveness of the vaccine for protecting others, and conspiracy beliefs are the most significant drivers of intentions to vaccinate. Older people, those seeking employment, and those who have received a recent influenza vaccine are more likely to be vaccinated against COVID-19. The findings have implications for improving communication strategies targeting individuals about the merits of vaccination, particularly focusing on younger individuals and expanded message framing to include altruistic considerations, and to improve government transparency regarding the effectiveness and side effects of vaccines.

Predictors of Intention to Vaccinate against COVID-19 in the General Public in Hong Kong: Findings from a Population-Based, Cross-Sectional Survey

Vaccination is one of the most effective ways to stop the spread of COVID-19. Understanding factors associated with intention to receive COVID-19 vaccines is the key to a successful vaccination programme. This cross-sectional study explored the rate of vaccination intention and identified its predictors using the health belief model (HBM) in the general population in Hong Kong during the pandemic. Data were collected between December 2020 and January 2021 via telephone surveys. Hierarchical logistic regression analysis was used to identify factors associated with intention to receive COVID-19 vaccines. A total of 1255 adults (>18 years, 53% female) completed the telephone survey. Overall, 42% indicated an intention to vaccinate, 31.5% showed vaccine hesitancy, and 26.5% reported refusal to receive any COVID-19 vaccines. Individuals who were men, older in age, working, with past experiences of other pandemics, less concerned with the vaccine safety, with poorer knowledge about COVID-19, and having greater levels of perceived susceptibility, self-efficacy, cues to action, and acceptance of governmental preventive measures related to COVID-19 were significantly more likely to report an intention to vaccinate. The low intention among the Hong Kong population reflects the importance of developing effective vaccination promotion campaigns with the predictors identified in this study.

The role of health beliefs in affecting patients' chronic diabetic complication screening: a path analysis based on the health belief model

AIMS AND OBJECTIVES

To explore the role of health beliefs in affecting patients' chronic diabetic complication (CDC) screening.

BACKGROUND

Patients' adherence to the guideline-recommended CDC screening was far from optimal. While many demographic and clinical characteristics were documented to influence patients' adherence, psychological profiles, such as health beliefs, were not well studied before. It is crucial to understand how health beliefs affect patients' CDC screening behaviour and thus to provide implications for future intervention programmes.

DESIGN

A cross-sectional study was conducted.

METHODS

785 type 2 diabetes were enrolled from the community health centre in Wuhou District, Chengdu, China. Structured questionnaires were used to collect data regarding the demographic and clinical information, knowledge about CDC, health belief model constructs and CDC screening behaviour. Mediation analysis was performed to explore the mechanisms of health belief model constructs on CDC screening behaviour. The study methods were compliant with the STROBE checklist.

RESULTS

Knowledge had a significant indirect effect on CDC screening behaviour through perceived susceptibility, perceived benefits, perceived barriers and self-efficiency. Cues to action exerted both significant direct and indirect effects on CDC screening behaviour. The indirect effects of cues to action were exerted through perceived susceptibility, perceived barriers and self-efficiency.

CONCLUSION

Health beliefs played vital roles in mediating the effects of knowledge and cues to action on patients' CDC screening behaviour. Health beliefs should be assessed and modified through creative educational methods. Strategies aimed at increasing cues to action are also expected to facilitate patients' CDC screening behaviour.

RELEVANCE TO CLINICAL PRACTICES

The study contributes to the exploration of how health beliefs affect patients' CDC screening behaviour. The results could be used to inspire future community-based intervention programmes.

Acceptance of the COVID-19 vaccine based on the health belief model: A population-based survey in Hong Kong

Background

Vaccines for COVID-19 are anticipated to be available by 2021. Vaccine uptake rate is a crucial determinant for herd immunity. We examined factors associated with acceptance of vaccine based on (1). constructs of the Health Belief Model (HBM), (2). trust in the healthcare system, new vaccine platforms and manufacturers, and (3). self-reported health outcomes.

Methods

A population-based, random telephone survey was performed during the peak of the third wave of COVID-19 outbreak (27/07/2020 to 27/08/2020) in Hong Kong. All adults aged ≥ 18 years were eligible. The survey included sociodemographic details; self-report health conditions; trust scales; and self-reported health outcomes. Multivariable regression analyses were applied to examine independent associations. The primary outcome is the acceptance of the COVID-19 vaccine.

Results

We conducted 1200 successful telephone interviews (response rate 55%). The overall vaccine acceptance rate after adjustment for population distribution was 37.2% (95% C.I. 34.5–39.9%). The projected acceptance rates exhibited a “J-shaped” pattern with age, with higher rates among young adults (18–24 years), then increased linearly with age. Multivariable regression analyses revealed that perceived severity, perceived benefits of the vaccine, cues to action, self-reported health outcomes, and trust in healthcare system or vaccine manufacturers were positive correlates of acceptance; whilst perceived access barriers and harm were negative correlates. Remarkably, perceived susceptibility to infection carried no significant association, whereas recommendation from Government (aOR = 10.2, 95% C.I. 6.54 to 15.9, p < 0.001) was as the strongest driving factor for acceptance. Other key obstacles of acceptance included lack of confidence on newer vaccine platforms (43.4%) and manufacturers without track record (52.2%), which are of particular relevance to the current context.

Conclusions

Governmental recommendation is an important driver, whereas perceived susceptibility is not associated with acceptance of COVID-19 vaccine. These HBM constructs and independent predictors inform evidence-based formulation and implementation of vaccination strategies.

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

The last 2019/20 northern hemisphere influenza season overlapped with the first wave of coronavirus disease 2019 (COVID-19) pandemic. Italy was the first western country where severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spread to a significant extent. In this representative cross-sectional survey, we aimed to describe some opinions and attitudes of the Italian general population towards both influenza vaccination and the COVID-19 pandemic, and to identify potential modifiers of the decision-making process regarding the uptake of the 2020/21 influenza vaccine. A total of 2543 responses were analyzed. Although most (74.8%) participants valued influenza vaccination positively and declared that it should be mandatory, some misconceptions around influenza persist. The general practitioner was the main source of trusted information on influenza vaccines, while social networks were judged to be the least reliable. Younger and less affluent individuals, subjects not vaccinated in the previous season, and those living in smaller communities showed lower odds of receiving the 2020/21 season influenza vaccination. However, the COVID-19 pandemic may have positively influenced the propensity of being vaccinated against 2020/21 seasonal influenza. In order to increase influenza vaccination coverage rates multidisciplinary targeted interventions are needed. The role of general practitioners remains crucial in increasing influenza vaccine awareness and acceptance by effective counselling.

Attitudes Toward Influenza Vaccination Administration in the Emergency Department Among Patients: A Cross-Sectional Survey

INTRODUCTION

Influenza is a serious, vaccine-preventable illness. The current vaccination rates in Canada are below target rates, highlighting the potential need for more convenient ways to receive vaccinations. Wait times to be seen in Canadian emergency departments are escalating, and using the time spent waiting to offer and administer an influenza vaccine could potentially improve ease of access to immunization for some Canadians.

METHODS

The aim of this cross-sectional study was to gauge public interest and identify perceived barriers and facilitators to influenza vaccine availability in a Canadian emergency and trauma center. Anonymous questionnaires were completed by a convenience sample of adult patients classified as low acuity (n = 151) as 1 arm of a 2-arm study.

RESULTS

Of the unvaccinated patients, 34.6% expressed willingness to be vaccinated in the emergency department. The patients who had received a vaccine in the previous year were significantly more willing to accept the vaccine in the emergency department (χ² [1] = 23.78, P < 0.001). The 3 top factors associated with having received vaccination in the previous year include trust in vaccine information (χ² [2] = 27.34, P < 0.001), immunity preferences (χ² [2] = 32.25, P < 0.001), and beliefs about efficacy (χ² [2] = 44.90, P < 0.001).

DISCUSSION

Patients classified as low acuity were supportive of ED influenza vaccination. In addition, some of the unvaccinated participants had unmet education needs (ie, regarding trustworthy sources of vaccine information, immunity, and vaccine efficacy) that would require addressing before they would likely consider receiving influenza vaccination in future during their ED visit.

The intentions to get vaccinated against influenza and actual vaccine uptake among diabetic patients in Ningbo, China: identifying motivators and barriers

BACKGROUND

Health authorities recommend influenza vaccination to diabetic patients. Nevertheless, the vaccination coverage of adults was low in China. This study aimed to estimate influenza vaccination intentions and actual uptake among diabetic patients in China and identify the motivators and barriers associated with vaccination.

METHODS

During Nov 2016-Jan 2017, 1960 diabetic patients were invited to participate in the investigation about influenza vaccination based on health belief model (HBM). To link vaccination intention to behavior, a follow-up survey was conducted to collect vaccination records of the 2016-2017 season. Predictors of the motivation to obtain influenza vaccination were assessed using logistic regressions.

RESULTS

1914 diabetic patients completed the survey. 46.13% participants reported intentions to be vaccinated against influenza and 7.84% actually received vaccination. In the multivariate models, while all the domains of HBM constructs were associated with intentions, age, increasing numbers of comorbidity, urban residents, perceived susceptibility, perceived benefits, free vaccination, and vaccination history displayed positive associations with vaccine uptake while increasing income and perceptions of barriers were negative predictors of vaccine uptake. Besides, interactions between perceived susceptibility and healthcare workers' (HCW's) recommendation, perceived severity and benefits, perceived severity and health-seeking behaviors, perceived benefits, and influence of family/friends had a significant positive effect modification on the vaccine uptake.

CONCLUSION

To improve diabetic patients' influenza vaccination and close the intention-behavior gap, multipronged strategies are required not only to increase vaccination intention by promoting HCW's recommendation to improve perceptions about influenza vaccination but also facilitate a follow through on initial intentions by implementing free influenza vaccination program funded by the government.

Understanding influenza vaccination among Portuguese elderly: the social ecological framework

This study intended to identify and quantify the social ecological model (SEM) levels associated to seasonal IV uptake in the Portuguese elderly population. Data from the 2014 National Health Survey was restricted to individuals aged 65+ years (n = 5669). Twenty-three independent variables were allocated to the SEM levels: individual, interpersonal, organizational, community and policy. Sex stratified and age adjusted analysis using Poisson regression were performed for each level and for a fitted full model. Relative reduction in pseudo R magnitude measured marginal contribution of each level. For men and women, older groups (85+ vs. 65–69; men, PR = 1.59 and women, PR = 1.56); having 3+ chronic conditions (men, PR = 1.39 and women, PR = 1.35); previous 4 weeks GP and outpatient visits were associated to higher IV uptake. For men, only 2 SEM levels were associated (individual and organizational) while for women the community level was also relevant. Main marginal contribution came from individual (17.9% and 16.3%) and organizational (30.7% and 22.7%) levels. This study highlights the importance of individual characteristics, access and use of health care services for the IV uptake and the sex differential behaviour.

Attitudes and perception of influenza vaccines among older people in Singapore: A qualitative study

Background

Despite recommendations for influenza vaccination of people aged 65 and above, uptake rate of influenza vaccines remains low.

This study aims to understand barriers and motivators behind older adult’s decision on influenza vaccination.

Methods

Face to face interviews with participants aged 65 and above were conducted and audio recorded in Geylang polyclinic in Singapore. Thematic content analysis was used to organise the data.

Results

15 older adults were interviewed, aged between 66 and 85 years old. 6 were vaccine refusers, 3 defaulters and 6 acceptors.

A perceived lack of vulnerability, fear of side effects, and trivialisation of influenza were common reasons for not taking the vaccine. Encouragement from family and friends, travel and previous positive vaccination experiences were motivators for getting vaccinated. Healthcare workers played a role in influencing many of the participants’ decision-making. Common misconceptions included vaccines considered as necessary only before travel and as a cure rather than prevention. Most participants exhibited ambivalence, giving reasons both for and against vaccine uptake.

Discussion

Most older adults do not perceive influenza as a potentially serious disease nor trust in influenza vaccines’ efficacy. Misconceptions played a significant role in vaccine decline. Novel findings include the importance of the family unit in decision making, prioritization of chronic health problems over vaccination and misconception that vaccines are only needed when travelling out of country. Healthcare workers and family members appear to be important influencers in the decision making of older adults and should be actively engaged in future health promotion initiatives.

Knowledge Regarding Influenza and Influenza Vaccination in General Population: Results of a National Survey in Poland

For the past 10 years, influenza vaccination coverage rate in Poland remains at a low 3% threshold. This low rate may be related to the unsatisfactory knowledge of vaccination, influenza, and misperception of health risks in the general population. To examine these issues, we used an online questionnaire consisting of 12 closed questions. The basic knowledge on influenza and vaccination was examined. The questionnaire was completed by 1669 persons, mostly young women. Generally, 73% of respondents passed the threshold of 70% correct answers, but important gaps in their knowledge were identified concerning the persons at risk of developing the infection (7.9% of correct answers) and the timing of vaccination (8.4% of correct answers). Although most respondents did identify the etiologic agent correctly (91.1% knew influenza is caused by a virus), only 12.3% knew that the vaccines registered in Poland contain fragments of viruses or its antigens, while 63.1% thought the vaccines contain live bacteria. In conclusion, the knowledge on influenza vaccination is deficient in the general population. Education on immunization should be prioritized to increase vaccination coverage rate in Poland.

Influenza-associated hospitalisation, vaccine uptake and socioeconomic deprivation in an English city region: an ecological study

OBJECTIVES

Every year, influenza poses a significant burden on the National Health Service in England. Influenza vaccination is an effective measure to prevent severe disease, hence, maximising vaccine coverage in the most vulnerable is a priority. We aimed to identify the extent to which socioeconomic status is associated with influenza-associated illness (IAI) and influenza vaccine coverage.

DESIGN

Retrospective observational study using hospital episode statistics.

SETTING

Merseyside, North-West of England, including the city of Liverpool.

PARTICIPANTS

Residents of Merseyside hospitalised with IAI between April 2004 and March 2016, and Merseyside general practice registered patients eligible for influenza vaccination in 2014/2015 and 2015/2016 influenza seasons.

EXPOSURES

Socioeconomic deprivation based on lower super output area English Indices of Deprivation scores.

PRIMARY AND SECONDARY OUTCOME MEASURES

Incidence and risk of IAI hospitalisation, and vaccine uptake.

RESULTS

There were 89 058 hospitalisations related to IAI among Merseyside residents (mean yearly rate=4.9 per 1000 population). Hospitalisations for IAI were more frequent in the most socioeconomically deprived areas compared with the least deprived in adults aged 15-39 years (incidence rate ratio (IRR) 2.08;95% CI 1.76 to 2.45; p<0.001), 60-64 years (IRR 2.65; 95% CI 2.35 to 2.99; p<0.001) and 65+ years (IRR 1.90; 95% CI 1.73 to 2.10; p<0.001), whereas rates in children were more homogeneous across deprivation strata. Vaccine uptake was lower than the nationally set targets in most neighbourhoods. The odds of vaccine uptake were 30% lower (OR 0.70; 95% CI 0.66 to 0.74; p<0.001) and 10% lower (OR 0.90; 95% CI 0.88 to 0.92; p<0.001) in the most socioeconomically deprived quintile compared with the least deprived, among children aged 24-59 months and 65+ years, respectively.

CONCLUSIONS

Higher rates of IAI hospitalisations and lower vaccine uptake in the most socioeconomically deprived populations suggest that health promotion policies and interventions that target these populations should be a priority.

Influenza vaccination in the elderly: Is a trial on mortality ethically acceptable?

The effectiveness of influenza vaccination in the elderly has long been a topic of debate, fueled by the absence of direct evidence from randomized trials on its effect on mortality and the methodological limitations of observational studies pointing this direction. It is argued that new placebo-controlled trials should be undertaken to resolve this uncertainty. However, such trials may be ethically questionable. To bring this discussion forward, we provide a comprehensive overview of the ethical challenges of an influenza vaccine efficacy trial designed to evaluate mortality in the elderly. An important condition in the justification of a trial is the existence of genuine uncertainty in regard to the answer to a research question. Therefore an extensive analysis of the existing levels of knowledge is needed to support the conclusion that an effect of vaccination on mortality is uncertain. Even if a so called "clinical equipoise" status applies, denying a control group vaccination would be problematic because vaccination is considered "competent care" and withholding vaccination could substantially increase patients' risk for influenza and its complications. Given the high burden of disease and already proven benefits of vaccination, such a trial is unlikely to meet the Declaration of Helsinki stating that the importance of a trial must outweigh the risk patients are exposed to. While a placebo-controlled trial in vaccine refusers may be considered, such a trial is unlikely to meet substantial methodological barriers regarding trial size and generalizability. We conclude that a new trial is unlikely to provide for a direct answer, let alone change current policy. At the same time, given the lack of consensus on the ethical acceptability of a placebo-controlled trial on the effect of influenza vaccination on mortality in the elderly, we invite researchers considering such trials to address the ethical challenges discussed in this manuscript.

Demographics, perceptions, and socioeconomic factors affecting influenza vaccination among adults in the United States

Objective

The study objective is to analyze influenza vaccination status by demographic factors, perceived vaccine efficacy, social influence, herd immunity, vaccine cost, health insurance status, and barriers to influenza vaccination among adults 18 years and older in the United States.

Background

Influenza vaccination coverage among adults 18 years and older was 41% during 2010–2011 and has increased and plateaued at 43% during 2016–2017. This is below the target of 70% influenza vaccination coverage among adults, which is an objective of the Healthy People 2020 initiative.

Methods

We conducted a survey of a nationally representative sample of adults 18 years and older in the United States on factors affecting influenza vaccination. We conducted bivariate analysis using Rao-Scott chi-square test and multivariate analysis using weighted multinomial logistic regression of this survey data to determine the effect of demographics, perceived vaccine efficacy, social influence, herd immunity, vaccine cost, health insurance, and barriers associated with influenza vaccination uptake among adults in the United States.

Results

Influenza vaccination rates are relatively high among adults in older age groups (73.3% among 75 + year old), adults with education levels of bachelor’s degree or higher (45.1%), non-Hispanic Whites (41.8%), adults with higher incomes (52.8% among adults with income of over $150,000), partnered adults (43.2%), non-working adults (46.2%), and adults with internet access (39.9%). Influenza vaccine is taken every year by 76% of adults who perceive that the vaccine is very effective, 64.2% of adults who are socially influenced by others, and 41.8% of adults with health insurance, while 72.3% of adults without health insurance never get vaccinated. Facilitators for adults getting vaccinated every year in comparison to only some years include older age, perception of high vaccine effectiveness, higher income and no out-of-pocket payments. Barriers for adults never getting vaccinated in comparison to only some years include lack of health insurance, disliking of shots, perception of low vaccine effectiveness, low perception of risk for influenza infection, and perception of risky side effects.

Conclusion

Influenza vaccination rates among adults in the United States can be improved towards the Healthy People 2020 target of 70% by increasing awareness of the safety, efficacy and need for influenza vaccination, leveraging the practices and principles of commercial and social marketing to improve vaccine trust, confidence and acceptance, and lowering out-of-pocket expenses and covering influenza vaccination costs through health insurance.

Influenza vaccines: Evaluation of the safety profile

The safety of vaccines is a critical factor in maintaining public trust in national vaccination programs. Vaccines are recommended for children, adults and elderly subjects and have to meet higher safety standards, since they are administered to healthy subjects, mainly healthy children. Although vaccines are strictly monitored before authorization, the possibility of adverse events and/or rare adverse events cannot be totally eliminated. Two main types of influenza vaccines are currently available: parenteral inactivated influenza vaccines and intranasal live attenuated vaccines. Both display a good safety profile in adults and children. However, they can cause adverse events and/or rare adverse events, some of which are more prevalent in children, while others with a higher prevalence in adults. The aim of this review is to provide an overview of influenza vaccine safety according to target groups, vaccine types and production methods.

Prevalence and factors associated with influenza vaccination of persons over 65 years old in Spain (2009-2014)

BACKGROUND

Influenza is a major public health problem. Achieving 65% coverage in people over 65 years old is a health policy priority in Spain.

OBJECTIVE

To determine the coverage of influenza vaccination in Spain in 2014 for people over 65 years and to analyze the factors associated with coverage and its progression between 2009 and 2014.

METHODS

A descriptive cross-sectional study was conducted that included 18,442 non-institutionalized individuals over 65 years who had participated in the National Health Survey in Spain in 2011 and in the European Health Survey in Spain in 2009 and 2014. Socio-demographic variables, health variables, and influenza vaccination data were used. A logistic regression analysis was performed to determine the variables associated with anti-influenza vaccination.

RESULTS

Influenza vaccination coverage has declined from 2009 (74.5%) to 2014 (57.4%). There are significant differences in the vaccination coverage among the different Spanish autonomous communities in the different years studied. Influenza vaccination was associated with males, low social class, and low level of education. There is greater participation in other preventive measures, such as assessing blood pressure, blood glucose, and cholesterol, than in influenza vaccination.

CONCLUSIONS

Fewer people over 65 years old than recommended by the WHO participated in the influenza vaccination campaign in Spain in 2014. This coverage declined progressively from 2009 to 2014.