The Health Belief Model in predicting healthcare workers' intention for influenza vaccine uptake in Jordan

Vaccine ◽  
2020 ◽  
Vol 38 (46) ◽  
pp. 7372-7378
Author(s):  
Lana Alhalaseh ◽  
Hanan Fayoumi ◽  
Bayan Khalil
Keyword(s):  
Influenza Vaccine ◽  
Health Belief Model ◽  
Healthcare Workers ◽  
Health Belief ◽  
Vaccine Uptake ◽  
Belief Model ◽  
The Health Belief Model

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

scholarly journals Exploring COVID-19 Vaccine Hesitancy Among Stakeholders in African American and Latinx Communities in the Deep South Through the Lens of the Health Belief Model

2021 ◽  
pp. 089011712110450
Author(s):  
Lori B. Bateman ◽  
Allyson G. Hall ◽  
William A. Anderson ◽  
Andrea L. Cherrington ◽  
Anna Helova ◽  
...  
Keyword(s):  
African American ◽  
Focus Groups ◽  
Health Belief Model ◽  
Race And Ethnicity ◽  
Health Belief ◽  
Vaccine Uptake ◽  
Vaccine Hesitancy ◽  
Virtual Focus Groups ◽  
Belief Model ◽  
The Health Belief Model

Purpose The purpose of this study was to qualitatively explore perceptions related to COVID-19 vaccination intention among African American and Latinx participants and suggest intervention strategies. Approach Ninety minute virtual focus groups (N = 8), segmented by county, race and ethnicity were conducted with stakeholders from 3 vulnerable Alabama counties. Participants Participants (N = 67) were primarily African American and Latinx, at least 19 years, and residents or stakeholders in Jefferson, Mobile, and Dallas counties. Setting Focus groups took place virtually over Zoom. Methods The semi-structured guide explored perceptions of COVID-19, with an emphasis on barriers and facilitators to vaccine uptake. Focus groups lasted approximately 90 minutes and were audio recorded, transcribed, and analyzed by a team of 3 investigators, according to the guidelines of Thematic Analysis using NVivo 12. To provide guidance in the development of interventions to decrease vaccine hesitancy, we examined how themes fit with the constructs of the Health Belief Model. Results We found that primary themes driving COVID-19 vaccine hesitancy, ordered from most to least discussed, are mistrust, fear, and lack of information. Additionally, interventions to decrease vaccine hesitancy should be multi-modal, community engaged, and provide consistent, comprehensive messages delivered by trusted sources.

scholarly journals The Health Belief Model Predicts Intention to Receive the COVID-19 Vaccine in Saudi Arabia: Results from a Cross-Sectional Survey

Vaccines ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 864
Author(s):  
Ilias Mahmud ◽  
Russell Kabir ◽  
Muhammad Aziz Rahman ◽  
Angi Alradie-Mohamed ◽  
Divya Vinnakota ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Health Belief Model ◽  
Online Survey ◽  
Health Belief ◽  
Vaccine Uptake ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Belief Model ◽  
To Receive ◽  
The Health Belief Model

We examined the intention and predictors of accepting the COVID-19 vaccine in Saudi Arabia. We conducted a nation-wide, cross-sectional online survey between February and March 2021. A total of 1387 people (≥18 years) participated. Only 27.3% adults had a definite and 30.2% had a probable vaccination intent; 26.8% and 15.6% had a probable and definite negative vaccination intent. Older people (≥50 years) (p < 0.01), healthcare workers/professionals (p < 0.001), and those who received flu vaccine (p < 0.001) were more likely to have a positive intent. People from Riyadh were less likely to receive the vaccine (p < 0.05). Among the health belief model constructs, perceived susceptibility to and severity of COVID-19 (p < 0.001), and perceived benefit of the vaccine (p < 0.001) were positively associated with vaccination intent, whereas perceived barriers had a negative association (p < 0.001). Individuals were more likely to receive the vaccine after obtaining complete information (p < 0.001) and when the vaccine uptake would be more common amongst the public (p < 0.001).

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 Does Seeing What Others Do Through Social Media Influence Vaccine Uptake and Help in the Herd Immunity Through Vaccination? A Cross-Sectional Analysis

2021 ◽  
Vol 9 ◽  
Author(s):  
Abrar Al-Hasan ◽  
Jiban Khuntia ◽  
Dobin Yim
Keyword(s):  
Social Media ◽  
Health Belief Model ◽  
Online Survey ◽  
Health Belief ◽  
Vaccine Uptake ◽  
Probit Regression ◽  
Media Usage ◽  
Social Media Platforms ◽  
Belief Model ◽  
The Health Belief Model

Widespread acceptance of COVID-19 vaccination is the next major step in fighting the pandemic. However, significant variations are observed in the willingness to take the vaccination by citizens across different countries. Arguably, differences in vaccination intentions will be influenced by beliefs around vaccines to influence health. Often perceptions of what others are doing and the information available guide individuals' behaviors for vaccination. This is more so in the digital age with the influence of the internet and media. This study aims to determine the factors that impact willingness to vaccinate for COVID-19. We examined factors associated with acceptance of vaccine based on (1) constructs of the Health Belief Model (HBM), (2) sources of information, (3) social media usage, (4) knowledge of COVID-19 treatment, and (5) perception of government's efforts for mitigation. Randomly sampled online survey data was collected by a global firm between December 2020 and January 2021 from 372 citizens (with a response rate of 96.6%) from multiple regions, including North America, the Middle East, Europe, and Asia. Ordered probit regression suggests that the health belief model constructs hold. Perceived severity of COVID-19 (P &lt; 0.001) and action cues of others taking the vaccine positively influences a subject's vaccine intent (P &lt; 0.001), perceived benefits and perceived efficacy of the vaccine positively influences a subject's vaccine intent (P &lt; 0.001). Perceived barriers negatively influence vaccine intent (P &lt; 0.001). Interestingly as for media usage, mainstream media (e.g., TV, newspaper) (P = 0.006) and social media (P = 0.013) both negatively influence a subject's vaccine intent. Social media platforms that are more entertainment and social-based, such as Whatsapp, Instagram, and YouTube, have a negative and significant influence on vaccine intent (P = 0.061), compared to other more information-based social media platforms (e.g., Twitter, LinkedIn). Knowledge of COVID-19 treatment positively influences vaccine intent (P = 0.023). Lastly, governmental efforts' perceived reliability in mitigation strategy (P = 0.028) and response efforts (P = 0.004) negatively influence vaccine intent. The study highlights the “wait-and-see” action cue from others and leaders in the community. It also informs the importance of shaping media information for vaccination through informative media and social media outlets to counteract any misinformation.

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.

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