Acceptance of influenza vaccine in healthcare workers in New Territories East cluster using a health belief model

2016 ◽  
Author(s):  
Sheng-sheng Ho
Keyword(s):  
Influenza Vaccine ◽  
Health Belief Model ◽  
Healthcare Workers ◽  
Health Belief ◽  
Belief Model

scholarly journals Integrating Health Belief model to determine factors associated with COVID-19 Vaccine Acceptance in Lebanon: Differences between health care workers and non-healthcare workers

2021 ◽  
Author(s):  
Dalal Youssef
Keyword(s):  
Health Belief Model ◽  
Urban Areas ◽  
Healthcare Workers ◽  
Adult Population ◽  
Health Belief ◽  
Vaccine Acceptance ◽  
Factors Associated ◽  
Modifiable Factors ◽  
Belief Model ◽  
To Receive

Abstract Background:Vaccine acceptance is critical to the success of immunization programs, especially for emerging infectious diseases. This study aims to assess the willingness to receive the COVID-19 vaccine, and the factors associated with this willingness among healthcare workers (HCWs) and non-healthcare workers in Lebanon.Methods: A web-based cross-sectional survey was conducted among Lebanese adults aged 18 years and above during November 2020 among Lebanese adults from all Lebanese provinces using a snowball sampling technique. Data were collected using an anonymous Arabic questionnaire that included sociodemographic, health-related variables, intention to receive COVID-19 vaccine, and the Health Belief Model covariates. Multivariable logistic regression analyses were performed to identify the factors associated with the COVID-19 vaccine acceptance among the 2 groups.Results:A total number of 2802 participants completed the survey. The overall intention to receive a COVID-19 vaccine among the Lebanese adult population was 51.5%. HCWs expressed a higher willingness of getting vaccinated against COVID-19 than non HCWs (65.8% vs. 47%, p< 0.001). The factors that are positively associated with the willingness to vaccinate among the general population, non HCWs and HCWs were: older age, being married, living in urban areas, receiving influenza vaccine for this season, higher perception of susceptibility and benefits, concerns related to availability and accessibility of vaccines and recommendation of vaccine from health authorities. However, the previous refusal of any vaccine, concerns about vaccine safety, and side effects impacted negatively this intention. Female gender, importance accounted to religiosity, and concerns about the reliability of the manufacturer were negatively associated with vaccine acceptance among non HCWs. Conversely, good knowledge, vaccine intake by the public, and self-motivation were positively associated with this willingness. Of note, these factors were not significantly associated with such willingness among HCWs.Conclusion: To control COVID-19 effectively, efforts targeting modifiable factors driving COVID-19 vaccine acceptance are required to increase the acceptance rate among the Lebanese population.

scholarly journals Predicting intention to receive COVID-19 vaccine among the general population using the Health Belief Model and the Theory of Planned Behavior Model

2020 ◽  
Author(s):  
Liora Shmueli
Keyword(s):  
General Population ◽  
Influenza Vaccine ◽  
Health Belief Model ◽  
Health Belief ◽  
Related Factors ◽  
The Public ◽  
Health Related ◽  
Belief Model ◽  
To Receive ◽  
The Health Belief Model

AbstractBackgroundA novel coronavirus (COVID-19) was declared a global pandemic by the World Health Organization (WHO) in March, 2020. Until such time as a vaccine becomes available, it is important to identify the determining factors that influence the intention of the general public to accept a future COVID-19 vaccine. Consequently, we aim to explore behavioral-related factors predicting intention to receive COVID-19 vaccine among the general population using the Health Belief Model (HBM) and the Theory of Planned Behavior (TPB) model.MethodsAn online survey was conducted among adults aged 18 years and older from May 24 to June 24, 2020. The survey included socio-demographic and health-related questions, questions related to the HBM and TPB dimensions, and intention to receive COVID-19 vaccine. Associations between questionnaire variables and COVID-19 vaccination intention were assessed by univariate and multivariate analyses.ResultsEighty percent of 398 eligible respondents stated their willingness to receive COVID-19 vaccine. A unified model including HBM and TPB covariates as well as demographic and health-related factors, proved to be a powerful predictor of intention to receive COVID-19 vaccine, explaining 78% of the variance (adjusted R2 = 0.78). Men (OR=4.35, 95% CI 1.58–11.93), educated respondents (OR=3.54, 95% CI 1.44–8.67) and respondents who had received the seasonal influenza vaccine in the previous year (OR=3.31, 95% CI 1.22–9.00) stated higher intention to receive COVID-19 vaccine. Participants were more likely to be willing to get vaccinated if they reported higher levels of perceived benefits of COVID-19 vaccine (OR=4.49, 95% CI 2.79–7.22), of perceived severity of COVID-19 infection (OR=2.36, 95% CI 1.58–3.51) and of cues to action (OR=1.99, 95% CI 1.38–2.87), according to HBM, and if they reported higher levels of subjective norms (OR=3.04, 95% CI 2.15–4.30) and self-efficacy (OR=2.05, 95% CI 1.54–2.72) according to TPB. Although half of the respondents reported they had not received influenza vaccine last year, 40% of them intended to receive influenza vaccine in the coming winter and 66% of them intended to receive COVID-19 vaccine.ConclusionsProviding data on the public perspective and predicting intention for COVID-19 vaccination using HBM and TPB is important for health policy makers and healthcare providers and can help better guide compliance as the COVID-19 vaccine becomes available to the public.

scholarly journals Predicting intention to receive COVID-19 vaccine among the general population using the health belief model and the theory of planned behavior model

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Liora Shmueli
Keyword(s):  
Theory Of Planned Behavior ◽  
Influenza Vaccine ◽  
Health Belief Model ◽  
Planned Behavior ◽  
Health Belief ◽  
The Public ◽  
Health Related ◽  
Belief Model ◽  
To Receive ◽  
The Health Belief Model

Abstract Background This study aim to explore the intentions, motivators and barriers of the general public to vaccinate against COVID-19, using both the Health Belief Model (HBM) and the Theory of Planned Behavior (TPB) model. Methods An online survey was conducted among Israeli adults aged 18 years and older from May 24 to June 24, 2020. The survey included socio-demographic and health-related questions, questions related to HBM and TPB dimensions, and intention to receive a COVID-19 vaccine. Associations between questionnaire variables and COVID-19 vaccination intention were assessed by univariate and multivariate analyses. Results Eighty percent of 398 eligible respondents stated their willingness to receive COVID-19 vaccine. A unified model including HBM and TPB predictor variables as well as demographic and health-related factors, proved to be a powerful predictor of intention to receive COVID-19 vaccine, explaining 78% of the variance (adjusted R squared = 0.78). Men (OR = 4.35, 95% CI 1.58–11.93), educated respondents (OR = 3.54, 95% CI 1.44–8.67) and respondents who had received the seasonal influenza vaccine in the previous year (OR = 3.31, 95% CI 1.22–9.00) stated higher intention to receive COVID-19 vaccine. Participants were more likely to be willing to get vaccinated if they reported higher levels of perceived benefits of COVID-19 vaccine (OR = 4.49, 95% CI 2.79–7.22), of perceived severity of COVID-19 infection (OR = 2.36, 95% CI 1.58–3.51) and of cues to action (OR = 1.99, 95% CI 1.38–2.87), according to HBM, and if they reported higher levels of subjective norms (OR = 3.04, 95% CI 2.15–4.30) and self-efficacy (OR = 2.05, 95% CI 1.54–2.72) according to TPB. Although half of the respondents reported they had not received influenza vaccine last year, 40% of them intended to receive influenza vaccine in the coming winter and 66% of them intended to receive COVID-19 vaccine. Conclusions Providing data on the public perspective and predicting intention for COVID-19 vaccination using HBM and TPB is important for health policy makers and healthcare providers and can help better guide compliance as the COVID-19 vaccine becomes available to the public.

scholarly journals Predictors of Influenza Vaccine

AAOHN Journal ◽  
2002 ◽  
Vol 50 (5) ◽  
pp. 227-233 ◽  
Author(s):  
Carolyn L. Blue ◽  
Juanita M. Valley
Keyword(s):  
Influenza Vaccine ◽  
Health Belief Model ◽  
Health Belief ◽  
Vaccine Acceptance ◽  
Clerical Workers ◽  
Study Results ◽  
Cues To Action ◽  
Belief Model ◽  
Program Awareness ◽  
The Health Belief Model

A self administered questionnaire with items derived from the Health Belief Model was mailed to a random sample of workers prior to a worksite influenza vaccine program in this descriptive study of 207 service and clerical workers. The researchers investigated the utility of the Health Belief Model in predicting influenza vaccine acceptance. A second postcard questionnaire was mailed after the program to verify the vaccination status. Workers who received the vaccine had higher scores for susceptibility, seriousness, benefits, cues to action, knowledge, and health motivation and lower scores for barriers than did workers who did not receive a vaccine. Logistic regression analysis revealed the importance of benefits, barriers, and cues to action in predicting influenza vaccine acceptance. Study results suggest education and program efforts directed toward increasing benefits, dispelling myths about influenza and the vaccine, reducing barriers, and developing a campaign to increase program awareness may increase workers' vaccine acceptance.

scholarly journals Comparison of Vaccine Acceptance Between COVID-19 and Seasonal Influenza Among Women in China: A National Online Survey Based on Health Belief Model

2021 ◽  
Vol 8 ◽  
Author(s):  
Liyuan Tao ◽  
Ruitong Wang ◽  
Jue Liu
Keyword(s):  
Influenza Vaccine ◽  
Health Belief Model ◽  
Health Beliefs ◽  
Seasonal Influenza ◽  
Health Belief ◽  
Acceptance Rate ◽  
Vaccine Uptake ◽  
Vaccine Acceptance ◽  
Belief Model ◽  
High Level

Background: Influenza could circulate in parallel with COVID-19. Studies focusing on the comparison of vaccine acceptance between COVID-19 and seasonal influenza are lacking. The aim of the study was to assess and compare vaccine acceptance of COVID-19 and influenza among reproductive women in China, in order to better understand and address factors associated with vaccine acceptance and to provide guidance for targeted measures to promote vaccination.Methods: A national anonymous cross-sectional survey on COVID-19 and influenza vaccine acceptance among reproductive women aged 18–49 years in China was conducted online based on health belief model, a model widely used to evaluate health beliefs. Sociodemographic characteristics, health status, knowledge, attitude, and health beliefs related to COVID-19 and influenza infection and vaccination were retrieved. Pearson's χ2 test was used to compare the vaccine acceptance by the factors mentioned above. Multivariable logistic regression was used to assess the adjusted associations of factors related to vaccine acceptance. Paired t-test was used to compare scores of health beliefs between influenza and COVID-19 vaccinations.Results: COVID-19 vaccine acceptance rate among reproductive women was 90.3% (95% CI 89.2–91.3%), which was significantly higher than influenza vaccine acceptance rate (85.5%, 95% CI: 84.2–86.7%). Influenza and COVID-19 vaccine acceptance both had the trends to decrease with age (all p &lt; 0.05). Living in the western region, young age, a high level of knowledge scores on disease and vaccines, a high level of perceived susceptibility, a high level of cues to action, and a low level of perceived barriers were positively associated with both COVID-19 and influenza vaccine acceptance (all p &lt; 0.05), while influenza vaccination history was additionally associated with influenza vaccine acceptance (p &lt; 0.05).Conclusions: Our findings suggest that tailored public health measures are needed to improve reproductive women's knowledge of COVID-19, influenza, and vaccines to alleviate women's vaccine hesitancy and expand vaccine uptake.

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

2020 ◽  
Author(s):  
Mallory Trent ◽  
Daniel Salmon ◽  
C. Raina MacIntyre
Keyword(s):  
Influenza Vaccine ◽  
Influenza Vaccination ◽  
Health Belief Model ◽  
Seasonal Influenza ◽  
Health Belief ◽  
Perceived Barriers ◽  
Vaccine Uptake ◽  
Seasonal Influenza Vaccination ◽  
Belief Model ◽  
The Health Belief Model

Background: Tens of thousands of Australians become ill with influenza annually, causing 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 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 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 grou

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