Predictors of COVID-19 vaccine intentions in the United States: the role of psychosocial health constructs and demographic factors

Analysis of public opinion polls about COVID-19 vaccines: Theoretical and policy implications for vaccine communication and campaigns to address vaccine hesitancy

This study analyzed 1432 questions asked in 19 surveys (N = 43,014) on COVID-19 vaccines between January 2020 and August 2022 using dimensions including (1) information sources about COVID-19 vaccine, (2) information about the access, effectiveness, and side effects of COVID-19 vaccine, (3) COVID-19 vaccine hesitancy (i.e. false perception, skepticism, and vaccine refusal), (4) motivations to get the COVID-19 vaccine (i.e. to perform routine activities, convenience, incentives, influences, and travel requirement), (5) false perceptions caused vaccine refusal, and (6) intentions to get vaccinated. Our results show that vaccine refusal was rampant throughout the pandemic and mostly attributed to the rush in the vaccine development process and perceived safety risks. Additionally, our analysis indicates that people's motivation to get vaccinated came from varied sources such as doctors, family members, and politicians. Lastly, mandating vaccines during the pandemic did not significantly increase uptake among individuals who were initially skeptical, and concerns about the rapid development of the vaccine were a major cause of vaccine hesitancy. Findings were discussed and interpreted using the information deficit model, the two-step flow theory, and the reactance theory. This research provides valuable insights and practical implications, along with significant theoretical contributions and policy recommendations.

Assessing vaccinated persons' intention to take the COVID-19 boosters using a combined theoretical framework: an online survey in Egypt

Vaccines, like the Corona Virus Disease-2019 (COVID-19) vaccines, can control diseases, but vaccine hesitancy reduces their use. It is important to assess the intention to use COVID-19 vaccines boosters and the determinants of this intention to help in developing programs to promote the uptake of boosters. An online survey collected data from adults in Egypt between March and June 2022 using a questionnaire that assessed demographic characteristics, and constructs of the Theory of Planned Behaviour (TPB) and the Health Belief Model (HBM). The survey was uploaded to SurveyMonkey and the links were posted on social media platforms. Binary regression analysis was used and the dependent variable was intention to use boosters of COVID-19 vaccines. The independent variables were indicators of the HBM including perceived susceptibility to COVID-19 infection (medical history) and possibility of disease prevention (awareness of the availability of types of COVID-19 vaccines); and indicators of the TPB including attitude toward COVID-19 vaccines (that they are harmful, that they may lead to death and confidence in locally and foreign manufactured vaccines), perceived norms (the percentage of vaccinated persons in one's circle) and perceived control over booster uptake (presence of government mandates for COVID-19 vaccination). The confounders were sociodemographic factors (age, sex, education, and place of residence). Complete responses were available from 1113 out of 1401 participants (79.4%), with mean (SD) age = 25 (9.5) years, of whom, 66.7% (n = 742) were females and 68.6% (n = 764) were university students. About 39.4% and 31.2% indicated that they would get or would definitely get the booster dose of the COVID-19 vaccines. In multiple regression, intention to use a booster dose was significantly related to not agreeing (AOR = 4.87, P < 0.001) or not agreeing at all (AOR = 8.46, P = 0.001) that vaccines are harmful and to having no confidence (AOR = 0.21, P < 0.001) or no confidence at all (AOR = 0.14, P < 0.001) in foreign-manufactured vaccines. Most university-educated Egyptians in the study intended to take the COVID-19 vaccine booster dose and this intention was associated with attitude toward the harm of the vaccine and confidence in foreign-manufactured vaccines. Awareness campaigns are needed to counteract misinformation and promote booster dose uptake.

Mixed methods approach to understanding COVID-19 vaccine hesitancy among immigrants in the Chicago

BACKGROUND

COVID-19 vaccine hesitancy has been particularly high among immigrant populations, whose experience is shaped by a history of racism and discriminations, and distrust of the healthcare system. In this study we draw from the Theory of Planned Behavior to examine COVID-19 vaccine hesitancy among immigrants in Chicago.

METHODS

A mixed-methods approach comprising of both focus groups and a health survey was conducted from February to August 2022. Five focus groups were held (N = 35) among Black, Asian and Arab/Palestine participants to understand attitudes and beliefs around the COVID-19 vaccine. Focus groups were analyzed using a modified template approach to text analysis. Based on these findings and themes, we developed a survey that was conducted among 413 immigrants from the mentioned communities. We used hierarchical ordinal regression analyses to examine the relationship between COVID-19 vaccine hesitancy and vaccination status.

RESULTS

Qualitative analysis suggest that the major factors influencing COVID-19 vaccine hesitancy included fear of adverse reactions, misinformation around COVID-19 and the vaccine, negative social norms around vaccination, and external pressure to get vaccinated. From our quantitative analysis we found that 24% of participants were unvaccinated, 5% were partially vaccinated, 32.3% were vaccinated but not boosted, and 39% were vaccinated and boosted for COVID-19. Hierarchical regression models suggest that immigrants who hold negative attitudes and social norms around the COVID-19 vaccine are less likely to vaccinate.

CONCLUSIONS

Understanding vaccine hesitancy among immigrants allows for the creation of culturally and linguistically tailored education that can be utilized to increase vaccine confidence and uptake.

Psychosocial correlates of parents' willingness to vaccinate their children against COVID-19

BACKGROUND

Public health guidance recommended that children who are 6 months or older be vaccinated against COVID-19 in June of 2022. In the U.S., 56% of children under 17 had not received the COVID-19 vaccination in 2023. We examine parents' willingness to vaccinate their children against COVID-19 using the theory of planned behavior in order to design effective strategies to promote vaccine uptake.

METHODS

The Philadelphia Community Engagement Alliance is part of an NIH community-engaged consortium focused on addressing COVID-19 disparities across the U.S. We surveyed 1,008 Philadelphia parents (mean age 36.86, SD 6.55; 42.3% racial/ethnic minorities) between September 2021 and February 2022, a period when guidance for child vaccination was anticipated. Structural Equation Modeling analysis examined associations between parental willingness and vaccine-related attitudes, norms, and perceived control. Covariates included parents' COVID-19 vaccination status, race/ethnicity, gender, and survey completion post-CDC pediatric COVID-19 vaccination guidelines. Subgroup analyses by race/ethnicity and gender were conducted.

RESULTS

Our model demonstrated good fit (χ2 = 907.37, df = 419, p<0.001; comparative fit index [CFI] = 0.951; non-normed fit index [NNFI] = 0.946; root mean square error of approximation [RMSEA] = 0.034 with 95% CI = 0.030-0.038). Attitudes ([Formula: see text] = 0.447, p<0.001) and subjective norms ([Formula: see text] = 0.309, p = 0.002) were predictors of intention. Racial/ethnic minority parents exhibited weaker vaccination intentions ([Formula: see text] = -0.053, p = 0.028) than non-Hispanic White parents.

CONCLUSIONS

Parents' attitudes and norms influence their vaccination intentions. Despite the survey predating widespread child vaccine availability, findings are pertinent given the need to increase and sustain pediatric vaccinations against COVID-19. Interventions promoting positive vaccine attitudes and prosocial norms are warranted. Tailored interventions and diverse communication strategies for parental subgroups may be useful to ensure comprehensive and effective vaccination initiatives.

Testing an extended theory of planned behaviour in predicting Covid-19 vaccination intention over the course of the pandemic: A three-wave repeated cross-sectional study

Background

Mass vaccination against Covid-19 has been recognised as the most effective strategy for overcoming the pandemic emergency and remains crucial in the ongoing efforts to mitigate the impact of the virus. The present study aimed to test the efficacy of an extended Theory of Planned Behaviour (TPB) model in predicting vaccination intention in three different phases of the pandemic. Understanding how psychological drivers of vaccine acceptance may have changed throughout the pandemic is essential for informing public health strategies and addressing vaccine hesitancy, even in the current post-pandemic context.

Methods

Using a repeated cross-sectional survey, we tested the hypothesised extended TPB model (intention, attitude, subjective norms, perceived behavioural control, anticipated affective reactions, risk perception, trust in science, trust in institutions and religiosity) across three independent samples: before (T1: November-December 2020; N = 657), during (T2: March-May 2021; N = 818), and after (T3: February-March 2022; N = 605) the start of the vaccination campaign in Italy.

Results

Results indicated significant differences between the time points in all investigated variables, pointing to a general trend of improvement in vaccine acceptability levels at T2 compared to T1, and a worsening at T3 compared to the other two time points. Interestingly, net of these differences, a multi-group Structural Equation Modeling analysis supported the invariance, across time, of the structural relationships examined within the extended TPB.

Conclusion

Findings demonstrated the efficacy of the TPB in predicting Covid-19 vaccination intention at different stages of the pandemic, suggesting that the model, in its extended version, represents a valuable framework for designing interventions aimed at promoting vaccine acceptance.

Older adults' acceptance of the COVID-19 vaccine: Application of the health belief model

AIMS

To determine the prevalence of COVID-19 vaccination acceptance among older adults and the factors that independently predict vaccine acceptance using the Health Belief Model (HBM).

DESIGN

This was a cross-sectional, descriptive study.

METHODS

Consenting older adults aged 60 years and older (n = 384) from Primary Health Care Centers in rural and urban areas of Mansoura District, Egypt, who could interact adequately with researchers participated in the study. The data were collected through an electronic questionnaire that included socio-demographic data, health-related characteristics, and health beliefs based on the HBM framework.

RESULTS

Overall, 46.9% were willing to receive the COVID-19 vaccine, 19.5% declined, and 33.6% were undecided. Higher perceptions of COVID-19 severity, vaccine benefits, and action cues were associated with vaccine acceptance (p = 0.05).

PUBLIC CONTRIBUTION

Vaccination campaigns that highlight the benefits of immunization should be prioritized by policymakers. In addition, vaccinated peoples should use social media to spread awareness about the advantages and challenges of vaccination. Nurse leaders should apply the HBM to forecast health-related behaviors, especially vaccination attitudes.

Health impacts reported in the Spinal Cord Injury COVID-19 Pandemic Experience Survey (SCI-CPES)

CONTEXT

In people with spinal cord injury (SCI), infections are a leading cause of death, and there is a high prevalence of diabetes mellitus, obesity, and hypertension, which are all comorbidities associated with worse outcomes after COVID-19 infection.

OBJECTIVE

To characterize self-reported health impacts of COVID-19 on people with SCI related to exposure to virus, diagnosis, symptoms, complications of infection, and vaccination.

METHODS

The Spinal Cord Injury COVID-19 Pandemic Experience Survey (SCI-CPES) study was administered to ask people with SCI about their health and other experiences during the COVID-19 pandemic.

RESULTS

223 community-living people with SCI (male = 71%; age = 52±15 years [mean±SD]; paraplegia = 55%) completed the SCI-CPES. Comorbidities first identified in the general population as associated with poor outcomes after COVID-19 infection were commonly reported in this SCI sample: hypertension (30%) and diabetes (13%). 23.5% of respondents reported a known infection exposure from someone who visited (13.5%) or lived in their home (10%). During the study, which included a timeframe when testing was either unavailable or scarce, 61% of respondents were tested for COVID-19; 14% tested or were presumed positive. Fever, fatigue, and chills were the most common symptoms reported. Of the 152 respondents surveyed after COVID-19 vaccines became available, 82% reported being vaccinated. Race and age were significantly associated with positive vaccination status: most (78%) individuals who were vaccinated identified as Non-Hispanic White and were older than those who reported being unvaccinated (57±14 vs. 43±13 years, mean±SD).

CONCLUSIONS

Self-reported COVID-19 symptoms were relatively uncommon and not severe in this sample of people with SCI. Potential confounders and limitations include responder, recruitment and self-reporting biases and changing pandemic conditions. Future studies on this topic should query social distancing and other behavioral strategies. Large retrospective chart review studies may provide additional data on incidence and prevalence of COVID-19 infections, symptoms, and severities in the SCI population.

Evaluation of the "We Can Do This" Campaign Paid Media and COVID-19 Vaccination Uptake, United States, December 2020-January 2022

Public education campaigns are promising methods for promoting vaccine uptake. In April 2021, the U.S. Department of Health and Human Services launched the We Can Do This COVID-19 public education campaign. This study is one of the first evaluations of this COVID-19 public education campaign. We tested associations between channel-specific campaign exposure (i.e. digital, TV, radio, print, and out-of-home advertising) and COVID-19 first-dose vaccinations among a nationally representative online sample of 3,278 adults. The study introduces novel ways to simultaneously evaluate short- and long-term cumulative media dose, filling an important gap in campaign evaluation literature. We observed a positive, statistically significant relationship between the short-term change in digital media dose and the likelihood of first-dose vaccination, and a positive, statistically significant relationship between long-term cumulative TV dose and the likelihood of first-dose vaccination. Results suggest that both digital and TV ads contributed to vaccination, such that digital media was associated with more immediate behavioral changes, whereas TV gradually shifted behaviors over time. As findings varied by media channel, this study suggests that public education campaigns should consider delivering campaign messages across multiple media channels to enhance campaign reach across audiences.

Factors related to COVID-19 vaccination intention and uptake among childbearing women

OBJECTIVE

Pregnant women are a vulnerable population for coronavirus disease 2019 (COVID-19) due to their risk for severe symptoms and adverse perinatal outcomes. Our objective was to identify contributors to COVID-19 vaccine intention in pregnancy and subsequent uptake, informed by the Theory of Planned Behavior, the Health Belief Model, and paradigms implicating social determinants of health (SDoH).

METHOD

Total of 1,899 pregnant women across the United States completed questionnaires in December 2020 (T1) and April 2021 (T2). A structural equation model (SEM) was built from hypothesized contributors to vaccine intention (T1) and uptake (T2), including perceived threat of COVID-19, attitudes toward infection mitigation behaviors, and social determinants of health SDoH (i.e., socioeconomic status [SES], minoritized identity), controlling for maternal health, age, and county-level political orientation.

RESULTS

In the SEM, SDoH variables, perceived threat and behavioral attitudes predicted vaccine intention. SDoH were directly associated with vaccine uptake and indirectly associated via vaccine intention (SES direct effect b = .17, total effect b = .38; identifying as Black/African American direct effect b = -.05, total effect b = -.09) The SEM demonstrated good fit and explained 38% of the variance in vaccine intention and 26% in vaccine uptake.

CONCLUSIONS

COVID-19 vaccination for pregnant women is influenced by SDoH and perceptual factors. Particular attention should focus on persons with lower SES and Black/African American women who reported lower vaccination intention and uptake. Potential routes to increase vaccination in perinatal populations include reducing accessibility barriers and providing information about vaccine safety and efficacy. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Using the increasing vaccination model and the moderating roles of chronic medical conditions and education to understand COVID-19 vaccination uptake in Singapore

COVID-19 vaccination programmes have helped reduce deaths and morbidity from the pandemic and allowed for the resumption of normal life. However, vaccine hesitancy remains an issue even with recurrent surges in COVID-19 cases due to new SARS-CoV-2 variants. Purpose: To elucidate psychosocial factors that contribute to our understanding of vaccine hesitancy. 676 Participants in Singapore took part in an online survey on vaccine hesitancy and uptake between May and June 2021. Data on demographics, perception of the COVID-19 pandemic, and vaccine willingness and hesitancy factors were collected. The responses were analyzed using structural equation modeling (SEM). The study found that confidence in the COVID-19 vaccines and risk perception of the COVID-19 situation are significantly associated with vaccination intention, while vaccination intention is also significantly associated with reported vaccination status. Additionally, certain chronic medical conditions moderate the relationship between vaccine confidence/risk perception and vaccine intention. This study contributes to our understanding of factors behind vaccination uptake which can help anticipate challenges to future vaccination campaigns for the next pandemic.

Exploration into the Influencing Factors for the Intention of the Public to Vaccinate against Infectious Diseases Based on the Theory of Planned Behavior-Example of the COVID-19 Vaccine

OBJECTIVES

The coronavirus disease 2019 (COVID-19) was applied as an example, and the Theory of Planned Behavior (TPB) was used as a conceptual model. This study aimed to explore the impact of subjective norms (SNs), attitude towards the behavior (ATT), and perceived behavioral control (PBC) on the intention of the public for regular vaccination during COVID-19. The outcomes can provide certain recommendations for relevant policymakers in developing targeted health education intervention programs in the event of similar events.

METHODS

An online survey was performed between 17 April and 14 May 2021, via the online survey platform "WENJUANXING". The multistage stratified cluster sampling was employed, and 2098 participants (1114 males; 53.10%) with a mean age of 31.22 years (SD = 8.29) completed the survey. The survey covered the factors influencing the public's intention to receive future regular vaccinations during COVID-19 based on TPB. The effects of different variables on the public's vaccination intention were analyzed using hierarchical stepwise regression.

RESULTS

The public's intention to receive the COVID-19 vaccine (i.e., behavioral intention) in the future was taken as the dependent variable. Gender, age, marital status, education level, per capita monthly household income, vaccine-related knowledge, whether the COVID-19 vaccine was received, subjective norms (SNs), attitude towards the behavior (ATT), and perceived behavioral control (PBC) were used as independent variables. In this way, a hierarchical stepwise multiple regression model was developed. It can be seen from the final model that gender, age, vaccine-related knowledge, vaccination, attitude, SNs, and PBC were all influential factors in the public's intention to get vaccinated in the future, with R² = 0.399 and adjusted R² = 0.397 (p < 0.001).

CONCLUSION

TPB explains the intention of the public to receive future vaccinations to a large extent, and ATT and SNs are the most important influencing factors. It is suggested that vaccine intervention programs be developed to enhance public awareness and acceptance of vaccination. This can be achieved in three aspects, namely, improving the ATT of the public, SNs, and PBC. Furthermore, the influence of gender, age, vaccine knowledge, and previous vaccination behavior on vaccination intention should be taken into account.

Scale Development for COVID-19 Vaccine Hesitancy by Integration of Socio-Demographic and Psychological Factors

Vaccination is the most cost-effective way to maintain population health. However, it can only be effective if widespread acceptance is held. The efficacy of COVID-19 vaccines depends on their favor. When countries start to vaccinate their citizens, there is a certain level of skepticism about the effectiveness of the vaccines. The hesitancy study on vaccines has gained momentum following the pandemic. However, few studies have examined the link between the psychological and sociodemographic factors influencing the fit. This paper proposes integrating the concepts of the information systems success and stimulus-organism-response into a cognitive fit theory framework to explore the integration of psychological and sociodemographic factors in the receivers' reactions (n = 1510). This study analyses the factors that influence the hesitancy of vaccines and the public's refusal in Asia and Europe. Receivers' reactions were assessed to various stimuli and we explored the link between psychological and sociodemographic elements and the concept of fit. Two surveys were conducted following the scale development of Mackenzie. The first was to develop the fit scale, while the second was to validate the fit scale. The results of the second survey were analyzed using structural equation modelling. The results indicate that the scale's fit development is valid and reliable. The quality of the vaccine information, the psychological characteristics of the vaccine system, and vaccine receivers' satisfaction are also beneficial factors for emotional and cognitive fit. Maintaining the vaccines' quality and efficiency can help improve the fit between sociodemographic and psychological characteristics. It can also enhance receivers' satisfaction and encourage continued vaccine administration. This study is regarded as one of the first to examine and develop an emotional and cognitive fit scale for practitioners and researchers.

From COVID-19 Vaccine Hesitancy to Vaccine Acceptance: Results of a Longitudinal Survey

OBJECTIVES

COVID-19 vaccines are widely available, but uptake is suboptimal. To develop strategies to increase vaccination rates, we sought to (1) characterize adults initially hesitant to be vaccinated for COVID-19 who later received the vaccine and (2) identify factors associated with their vaccination decision.

METHODS

In January 2021, we conducted an online survey of US adults via Prolific that assessed vaccination intent, COVID-19-related knowledge and attitudes, and demographic characteristics. In May 2021, we recontacted respondents to assess vaccination status and factors influencing their vaccination decision. We used χ² statistics and t tests to examine associations between respondents' vaccination status and their characteristics, knowledge, and attitudes. We analyzed reasons for vaccination using thematic analysis.

RESULTS

Of 756 initially vaccine-hesitant respondents, 529 (70.0%) completed the follow-up survey. Nearly half of those initially not sure about vaccination (47.3%, 112 of 237) were vaccinated at follow-up, while 21.2% (62 of 292) of those initially planning not to be vaccinated were vaccinated at follow-up. Of those initially not sure, higher educational attainment, greater knowledge of COVID-19, and a doctor's recommendation were associated with vaccination. Of those initially intending not to be vaccinated, male sex, Democratic political affiliation, receipt of an influenza shot within 5 years, being more worried about COVID-19, and having greater COVID-19 knowledge were associated with increased likelihood of being vaccinated. Of 167 respondents who gave reasons for vaccination, protecting oneself and others (59.9%), practical issues (29.9%), social influences (17.4%), and vaccine safety (13.8%) were the main reasons.

CONCLUSION

Providing information on the protective value of vaccination, implementing rules that make remaining unvaccinated burdensome, making vaccination easy, and providing social support may influence vaccine-hesitant adults to accept vaccination.

The Initial Relationship Between the United States Department of Health and Human Services' Digital COVID-19 Public Education Campaign and Vaccine Uptake: Campaign Effectiveness Evaluation

BACKGROUND

Over 1 million people in the United States have died of COVID-19. In response to this public health crisis, the US Department of Health and Human Services launched the We Can Do This public education campaign in April 2021 to increase vaccine confidence. The campaign uses a mix of digital, television, print, radio, and out-of-home channels to reach target audiences. However, the impact of this campaign on vaccine uptake has not yet been assessed.

OBJECTIVE

We aimed to address this gap by assessing the association between the We Can Do This COVID-19 public education campaign's digital impressions and the likelihood of first-dose COVID-19 vaccination among US adults.

METHODS

A nationally representative sample of 3642 adults recruited from a US probability panel was surveyed over 3 waves (wave 1: January to February 2021; wave 2: May to June 2021; and wave 3: September to November 2021) regarding COVID-19 vaccination, vaccine confidence, and sociodemographics. Survey data were merged with weekly paid digital campaign impressions delivered to each respondent's media market (designated market area [DMA]) during that period. The unit of analysis was the survey respondent-broadcast week, with respondents nested by DMA. Data were analyzed using a multilevel logit model with varying intercepts by DMA and time-fixed effects.

RESULTS

The We Can Do This digital campaign was successful in encouraging first-dose COVID-19 vaccination. The findings were robust to multiple modeling specifications, with the independent effect of the change in the campaign's digital dose remaining practically unchanged across all models. Increases in DMA-level paid digital campaign impressions in a given week from -30,000 to 30,000 increased the likelihood of first-dose COVID-19 vaccination by 125%.

CONCLUSIONS

Results from this study provide initial evidence of the We Can Do This campaign's digital impact on vaccine uptake. The size and length of the Department of Health and Human Services We Can Do This public education campaign make it uniquely situated to examine the impact of a digital campaign on COVID-19 vaccination, which may help inform future vaccine communication efforts and broader public education efforts. These findings suggest that campaign digital dose is positively associated with COVID-19 vaccination uptake among US adults; future research assessing campaign impact on reduced COVID-19-attributed morbidity and mortality and other benefits is recommended. This study indicates that digital channels have played an important role in the COVID-19 pandemic response. Digital outreach may be integral in addressing future pandemics and could even play a role in addressing nonpandemic public health crises.

Attitudes towards COVID-19 vaccination and intention to get vaccinated in Western Balkans: cross-sectional survey

BACKGROUND

Introduction of vaccines against COVID-19 has not encountered expected acceptance. The uptake of COVID-19 vaccines in Western Balkans countries is lagging behind the European Union average. The aim of our study was to assess the intention to get vaccinated against COVID-19 in the population of unvaccinated adult citizens of five Western Balkans countries, and to explore factors that influence the vaccination intention.

METHODS

Cross-sectional study was conducted in the period from July to October 2021. The questionnaire was shared through online social media. Intention to get vaccinated against COVID-19 was measured by a single item assessing the likelihood of getting vaccinated on a 5-points Likert scale. Linear regressions were conducted with socio-demographic characteristics, presence of chronic diseases and attitudes towards COVID-19 vaccination as independent factors.

RESULTS

The largest proportion of unvaccinated respondents willing to get vaccinated in the future was observed in Montenegro and Albania (40.4% in each country), while in the Serbian sample, the willingness to get vaccinated was the lowest (22.6%). Socio-demographic characteristics were not significantly associated with the intention to get vaccinated against COVID-19 in most of the countries. In Albania, Bosnia and Herzegovina, North Macedonia and Serbia the strongest determinant of COVID-19 vaccination intention was the higher sense of social responsibility.

CONCLUSIONS

Vaccination interventions and campaigns aiming to improve the COVID-19 vaccine uptake should be focussed on specific set of factors in each country, appealing to social responsibility as most prevalent determinant of vaccination intention in Western Balkans.

How Well the Constructs of Health Belief Model Predict Vaccination Intention: A Systematic Review on COVID-19 Primary Series and Booster Vaccines

This systematic review synthesizes the findings of quantitative studies examining the relationships between Health Belief Model (HBM) constructs and COVID-19 vaccination intention. We searched PubMed, Medline, CINAHL, Web of Science, and Scopus using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and identified 109 eligible studies. The overall vaccination intention rate was 68.19%. Perceived benefits, perceived barriers, and cues to action were the three most frequently demonstrated predictors of vaccination intention for both primary series and booster vaccines. For booster doses, the influence of susceptibility slightly increased, but the impact of severity, self-efficacy, and cues to action on vaccination intention declined. The impact of susceptibility increased, but severity's effect declined sharply from 2020 to 2022. The influence of barriers slightly declined from 2020 to 2021, but it skyrocketed in 2022. Conversely, the role of self-efficacy dipped in 2022. Susceptibility, severity, and barriers were dominant predictors in Saudi Arabia, but self-efficacy and cues to action had weaker effects in the USA. Susceptibility and severity had a lower impact on students, especially in North America, and barriers had a lower impact on health care workers. However, cues to action and self-efficacy had a dominant influence among parents. The most prevalent modifying variables were age, gender, education, income, and occupation. The results show that HBM is useful in predicting vaccine intention.

Trust in science and scientists among university students, staff, and faculty of a large, diverse university in Los Angeles during the COVID-19 pandemic, the Trojan Pandemic Response Initiative

BACKGROUND

Mistrust in science and scientists may adversely influence the rate of COVID-19 vaccination and undermine public health initiatives to reduce virus transmission.

METHODS

Students, staff and faculty responded to an email invitation to complete an electronic survey. Surveys included 21-items from the Trust in Science and Scientists Inventory questionnaire. Responses were coded so higher scores indicated a higher trust in science and scientists, A linear regression model including sex, age group, division, race and ethnicity, political affiliation, and history of COVID-19, was used to determine variables significantly associated with trust in science and scientists scores at the p < 0.05 level.

RESULTS

Participants were mostly female (62.1%), Asian (34.7%) and White (39.5%) and students (70.6%). More than half identified their political affiliation as Democrat (65%). In the final regression model, all races and ethnicities had significantly lower mean trust in science and scientists scores than White participants [Black ([Formula: see text]= -0.42, 95% CI: -0.55, -0.43, p < 0.001); Asian ([Formula: see text]= -0.20, 95% CI: -0.24, -0.17, p < 0.001); Latinx ([Formula: see text]= -0.22, 95% CI: -0.27, -0.18, p < 0.001); Other ([Formula: see text]= -0.19, 95% CI: -0.26, -0.11, p < 0.001)]. Compared to those identifying as Democrat, all other political affiliations had significantly lower mean scores. [Republican ([Formula: see text] =-0.49, 95% CI: -0.55, -0.43, p < 0.0001); Independent ([Formula: see text] =-0.29, 95% CI: -0.33, -0.25, p < 0.0001); something else ([Formula: see text] =-0.19, 95% CI: -0.25, -0.12, p < 0.0001)]. Having had COVID-19 ([Formula: see text]= -0.10, 95% CI: -0.15, -0.06, p < 0.001) had significantly lower scores compared to those who did not have COVID-19.

CONCLUSION

Despite the setting of a major research University, trust in science is highly variable. This study identifies characteristics that could be used to target and curate educational campaigns and university policies to address the COVID19 and future pandemics.

Usage of Heat and Moisture Exchange Devices, Virtual Visits, Masking, and Vaccinations Among People With a Laryngectomy During COVID-19

PURPOSE

This study described the COVID-19 risk mitigation actions of people with a total laryngectomy (TL) during the pandemic.

METHOD

An online survey was completed by 215 people with a TL who lived in the United States. The survey was open from December 1, 2021, to January 15, 2022.

RESULTS

There was a significant increase in frequency of heat and moisture exchange (HME) device use during the pandemic compared with pre-COVID-19. Frequency of HME use was significantly greater for those who were vaccinated and those who had at least one clinical visit with their speech-language pathologist (SLP). The use of virtual visits increased from 9% pre-COVID-19 to 37% during the pandemic. Seventy percent of respondents were "satisfied" or "very satisfied" with virtual visits and 51% judged them "as good as in-person." Eighty percent were vaccinated for COVID-19 and 75% received a booster. One third reported that they did not wear mask over the face or over the tracheostoma. Twenty percent had tested positive for COVID-19 with 70% of these people requiring hospitalization.

CONCLUSIONS

HME use and virtual SLP visits increased during the pandemic and the vaccination rate was high among this group of respondents. Overall, there were still large percentages of people with a TL who were not using an HME, not vaccinated, and did not wear a mask. SLPs should consider reaching out directly to their TL caseload, particularly those not yet seen during the pandemic, to support uptake of COVID-19 mitigation activities specific to people with a TL as the pandemic persists.

Recalled Exposure to COVID-19 Public Education Campaign Advertisements Predicts COVID-19 Vaccine Confidence

This study examined the relationship between recalled exposure to the We Can Do This COVID-19 Public Education Campaign (the Campaign) and COVID-19 vaccine confidence (the likelihood of vaccination or vaccine uptake) in the general population, including vaccine-hesitant adults (the "Movable Middle"). Analyses used three waves of a triannual, nationally representative panel survey of adults in the U.S. fielded from January to November 2021 (n = 3,446). Proportional odds regression results demonstrated a positive, statistically significant relationship between past 4-month Campaign recall and vaccine confidence, controlling for lagged reports of Campaign recall and vaccine confidence; concurrent and lagged fictional campaign recall; survey wave; and sociodemographics. Results indicated that as one moves from no Campaign recall to infrequent recall, there is a 29% increase in the odds of being in a higher vaccine confidence category. Findings offer evidence of the impact of a COVID-19 public education campaign on increasing vaccine confidence.

Using conditional inference to quantify interaction effects of socio-demographic covariates of US COVID-19 vaccine hesitancy

COVID-19 vaccine hesitancy has become a major issue in the U.S. as vaccine supply has outstripped demand and vaccination rates slow down. At least one recent global survey has sought to study the covariates of vaccine acceptance, but an inferential model that makes simultaneous use of several socio-demographic variables has been lacking. This study has two objectives. First, we quantify the associations between common socio-demographic variables (including, but not limited to, age, ethnicity, and income) and vaccine acceptance in the U.S. Second, we use a conditional inference tree to quantify and visualize the interaction and conditional effects of relevant socio-demographic variables, known to be important correlates of vaccine acceptance in the U.S., on vaccine acceptance. We conduct a retrospective analysis on a COVID-19 cross-sectional Gallup survey data administered to a representative sample of U.S.-based respondents. Our univariate regression results indicate that most socio-demographic variables, such as age, education, level of household income and education, have significant association with vaccine acceptance, although there are key points of disagreement with the global survey. Similarly, our conditional inference tree model shows that trust in the (former) Trump administration, age and ethnicity are the most important covariates for predicting vaccine hesitancy. Our model also highlights the interdependencies between these variables using a tree-like visualization.

Application of behavioral change theory and models on COVID-19 preventive behaviors, worldwide: A systematic review

Objective:

This systematic review aimed to assess the global application of behavioral change theory and models on COVID-19 preventive behaviors.

Methods:

This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses procedure. Databases such as PubMed/MIDLINE, Web of Science, Scopus, EMB ASE, World Health Organization libraries, and Google Scholar were used to search all published articles in the area of application of behavioral change theory and model on COVID-19 preventive behavior until October 1, 2022. Studies published in another language other than English were excluded. Two independent reviewers did the article selection and quality check. A third reviewer asked if any disagreement were found.

Result:

Seventeen thousand four hundred thirty-six total articles were retrieved from all sources after the removal of duplicated articles and those not evaluating the outcome of interest were excluded. Finally, 82 articles done using behavioral change theory and model on COVID-19 preventive behaviors were included. The health belief model (HBM) and theory of planned behavior (TPB) were most commonly used in COVID-19 preventive behaviors. The constructs of most behavioral theories and models were significantly associated with COVID-19 preventive behaviors such as hand washing, face mask use, vaccine uptake, social isolation, self-quarantine, social distance, and use of sanitizers.

Conclusion:

This systematic review summarizes comprehensive evidence on the application of behavioral change theory and model on COVID-19 preventive behaviors globally. A total of seven behavioral change theories and models were included. The HBM and TPBs were most commonly used for COVID-19 preventive behaviors. Therefore, the application of behavioral change theory and models is recommended for developing behavioral change interventional strategies.

Explaining demographic differences in COVID-19 vaccination stage in the United States - April-May 2021

COVID-19 vaccine coverage in the US has marked demographic and geographical disparities, but few explanations exist for them. Our paper aimed to identify behavioral and social drivers that explain these vaccination disparities. Participants were a national probability sample of 3562 American adults, recruited from the Ipsos KnowledgePanel. Participants completed an online survey in spring 2021, when COVD-19 vaccination was available for higher-risk groups but not yet available to all US adults. The survey assessed COVID-19 vaccination stage (intentions and vaccine uptake), constructs from the Increasing Vaccination Model (IVM) domains (thinking and feeling, social processes, and direct behavior change), self-reported exposure to COVID-19 vaccine information, and demographic characteristics. Analyses used multiple imputation to address item nonresponse and linear regressions to conduct mediation analyses. Higher COVID-19 vaccination stage was strongly associated with older age, liberal political ideology, and higher income in adjusted analyses (all p < .001). Vaccination stage was more modestly associated with urbanicity, white race, and Hispanic ethnicity (all p < .05). Some key mediators that explained more than one-third of demographic differences in vaccination stage were perceived vaccine effectiveness, social norms, and recommendations from family and friends across most demographic characteristics (all p < .05). Other mediators included safety concerns, trust, altruism, provider recommendation, and information seeking. Access to vaccination, barriers to vaccination, and self-efficacy explained few demographic differences. One of the most reliable explanations for demographic differences in COVID-19 vaccination stage is social processes, including social norms, recommendations, and altruism. Interventions to promote COVID-19 vaccination should address social processes and other domains in the IVM.

A longitudinal study of vaccine hesitancy attitudes and social influence as predictors of COVID-19 vaccine uptake in the US

BACKGROUND

In many countries with high levels of COVID-19 vaccine access, uptake remains a major issue. We examined prospective predictors of COVID-19 vaccine uptake in a United States longitudinal study.

METHODS

An online longitudinal study on COVID-19 and well-being assessed vaccine hesitancy attitudes, social norms, and uptake among 444 respondents who had completed both survey waves in March and June 2021.

RESULTS

The mean sample age was 41, with 55% female, 71% white, 13% Black, and 6% Latinx. In March 2021, 14% had received at least one COVID-19 vaccine dose. By June 2021, 64% reported receiving at least one dose. In prospectively assessing predictors of vaccine uptake, we found strong correlations among five different vaccine hesitancy questions. In multivariable logistic regression models, family and friends discouraging vaccination (adjusted odds ratios [aOR] = .26, 95% CI = .07, .98), not knowing whom to believe about vaccine safety (aOR = .51, 95% CI = .27, .95), and concerns that shortcuts were taken with vaccine development (aOR = .43, 95% CI = .23, .81) were all independent predictors of lower vaccine uptake. Political conservatism, gender, education, and income were also independent predictors of reduced uptake. Vaccine hesitancy items were also modeled as a scale, and the scale was found to be strongly predictive of vaccine uptake.

CONCLUSIONS

The findings highlight the importance of social norm interventions and suggest general and specific vaccine hesitancy attitudes, especially trust, should be considered in developing vaccine uptake programs.

Predicting Vaccination Intention against COVID-19 Using Theory of Planned Behavior: A Systematic Review and Meta-Analysis

This study systematically analyzed the literature using the theory of planned behavior (TPB) as a theoretical framework to examine the influence of its constructs on vaccination intention against COVID-19. Quantitative studies were searched in PubMed, CINAHL, Web of Science, and Google Scholar following the PRISMA guidelines. The average rate of COVID-19 vaccination intention was 73.19%, ranging from 31% to 88.86%. Attitude had the strongest association with vaccination intention (r₊ = 0.487, 95% CI: 0.368-0.590), followed by subjective norms (r₊ = 0.409, 95% CI: 0.300-0.507), and perceived behavioral control (r₊ = 0.286, 95% CI: 0.198-0.369). Subgroup analyses showed that the pooled effect sizes of TPB constructs on vaccination intention varied across geographic regions and study populations. Attitude had large effect sizes in Asia, Europe, and Oceania, especially among the adult general population, parents, and patients. Subjective norms had large effect sizes in Asia and Oceania, especially among parents and patients. Perceived behavioral control was the most dominant predictor of vaccination acceptance in Africa among patients. These findings suggest that TPB provides a useful framework for predicting intention to receive a COVID-19 vaccine. Hence, public awareness and educational programs aimed at promoting COVID-19 vaccination intention should consider using TPB as a framework to achieve the goal.

The impact of vaccine hesitation on the intentions to get COVID-19 vaccines: The use of the health belief model and the theory of planned behavior model

Object

During the later period of the COVID-19 pandemic, the public has been at risk of the evolving COVID-19 variants and hesitated to be vaccinated against COVID-19 to a certain extent. In this context, the health belief model (HBM) and the theory of planned behavior model (TPB) were used to compare and summarize the relationship between vaccine hesitation/non-hesitation and the intentions to get COVID-19 vaccines and its influencing factors.

Methods

The cross-sectional, population-based online survey was conducted from 14 April to 30 April 2021, and 1757 respondents were recruited to participate in the survey through the Wenjuanxing online survey platform. The HBM and TPB covariate scores were expressed using means and standard deviations and compared between groups using t-tests. Backward multiple linear regression models were used to explore the factors influencing the public's intentions to receive the COVID-19 vaccines.

Results

This study found that educational background is one of the factors influencing vaccine hesitation. Most people with high education do not hesitate (65.24%), while a more significant proportion of people with low education have vaccine hesitation (66.00%). According to HBM, for the vaccine hesitation group, self-efficacy, family advice, and doctor's advice were the most critical factors affecting the public's future vaccination intentions; for the vaccine non-hesitation group, self-efficacy, doctor's advice, and perceived benefits are the most important influencing factors. According to the TPB, the subjective norm is the most critical factor affecting the future vaccination intention of the vaccine hesitation group, and the attitude toward behavior is the most critical factor affecting the future vaccination intention of the vaccine non-hesitation group.

Conclusions

In the context of COVID-19, the public's hesitation on the "current" vaccines will still affect future vaccination intentions. Using HBM and TPB would help health policymakers and healthcare providers formulate intervention plans.

Exploring the Willingness of the COVID-19 Vaccine Booster Shots in China Using the Health Belief Model: Web-Based Online Cross-Sectional Study

(1) Objective: To explore Chinese residents’ willingness to receive COVID-19 vaccine booster shots and identify predictors of the level of willingness based on the health belief model (HBM). (2) Methods: The snowball sampling method was used to distribute online questionnaires. A chi-square test was used to analyze the relationship between different variables. The causal relationship between HBM-related factors and booster vaccination intentions was explored by Structural equation modeling (SEM). (3) Results: A total of 898 complete responses were included; 64.3% had already received the booster injection. Most respondents intended to vaccinate themselves, while 16.1% were hesitant. Nearly half of the respondents chose to take the booster injection to support China’s vaccination policy. Using the SEM, perceived susceptibility and perceived barriers were found to have a negative effect on booster vaccination intentions, whereas perceived benefit and cues to action positively affected booster vaccination intentions in the HBM. (4) Conclusions: Factors included in this study have different effects on the willingness to take the COVID-19 booster injections. Sociodemographic characteristics and characteristics of participants’ COVID-19 vaccination have a significant effect on the willingness to receive vaccine booster shots. The HBM constructs can serve as good predictors of the acceptance of vaccine booster shots with the exception of perceived severity, which may benefit health officials in terms of conducting targeted strategies in vaccine programs.

Multilevel determinants of COVID-19 vaccination hesitancy in the United States: A rapid systematic review

Vaccine hesitancy is a challenge for the success and optimal implementation of COVID-19 immunization programs in the US. The objective of this study was to summarize multilevel determinants of COVID-19 vaccination intention in the US to inform future intervention opportunities. To this end, we conducted a rapid systematic review by searching published articles via PubMed published by October 5, 2021, following the PRISMA guidelines. One hundred and six articles were included. According to nationally representative studies, the overall COVID-19 acceptance rate ranges from 53.6% to 84.4%. Individual (demographics, health history, behaviors and health beliefs), interpersonal (having a close friend/family member impacted by COVID-19), healthcare and societal level factors (healthcare provider recommendations, source/credential of COVID-19 related information, and COVID-19 related conspiracy theories) all contributed to COVID-19 vaccine hesitancy in the US. This study demonstrates that the acceptance to COVID-19 vaccines is influenced by various factors, particularly the role of healthcare providers in enhancing public intent to vaccination. Potential interventions to mitigate people's concerns over the vaccines and address vaccine-related conspiracy/misinformation from social media are also critical to encourage vaccine uptake in the US.