Applying the Health Belief Model for Investigating the Impact of Political Affiliation on COVID-19 Vaccine Uptake

2021 ◽  
pp. 1-10
Author(s):  
Amir Bhochhibhoya ◽  
Paul Branscum ◽  
Rashmi Thapaliya ◽  
Pragya Sharma Ghimire ◽  
Holisa Wharton
Keyword(s):  
Health Belief Model ◽  
Health Belief ◽  
Vaccine Uptake ◽  
Political Affiliation ◽  
Belief Model ◽  
The Impact ◽  
The Health Belief Model

Using the Health Belief Model to Explore the Impact of Environmental Empathy on Behavioral Intentions to Protect Ocean Health

2020 ◽  
pp. 001391652093263
Author(s):  
Sojung Claire Kim ◽  
Sandra L. Cooke
Keyword(s):  
Health Belief Model ◽  
Behavioral Intentions ◽  
Health Belief ◽  
Positive Behaviors ◽  
Mediating Mechanisms ◽  
Emotional Aspects ◽  
The Media ◽  
Belief Model ◽  
The Impact ◽  
The Health Belief Model

We examine psychological mediating mechanisms to promote ocean health among the U.S. public. Ocean acidification (OA) was chosen as the focus, as experts consider it as important as climate change with the same cause of humanity’s excessive carbon dioxide (CO2) emissions, but it is lesser known. Empathy is a multi-dimensional concept that includes cognitive and emotional aspects. Previous literature argues that environmental empathy can facilitate positive behaviors. We tested the hypothesis that empathy affects beliefs and behavioral intentions regarding ocean health using the Health Belief Model. We found that higher empathy toward ocean health led to higher perceived susceptibility and severity from OA, greater perceived benefits of CO2 emissions reduction, greater perceived barriers, and keener attention to the media. Beliefs and media attention positively influenced behavioral intentions (e.g., willingness to buy a fuel efficient car). Theoretical and practical implications regarding audience targeting and intervention design are discussed.

Using the health belief model to assess the impact of student pharmacist-led health outreach events

2021 ◽  
Vol 13 (6) ◽  
pp. 694-698
Author(s):  
Angela Chu ◽  
Brittany M. Harnicher ◽  
Bertha P. Castrellon ◽  
Jeffrey A. Bowers ◽  
Guogen Shan
Keyword(s):  
Health Belief Model ◽  
Health Belief ◽  
Belief Model ◽  
The Impact ◽  
The Health Belief Model

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 The impact of education intervention on the Health Belief Model constructs regarding anxiety of nulliparous pregnant women

2015 ◽  
Vol 4 (1) ◽  
pp. 27 ◽  
Author(s):  
Gholamreza Sharifirad ◽  
Kamal Mirkarimi ◽  
Akbar Hassanzadeh ◽  
Hossein Shahnazi ◽  
Sahar Sabooteh
Keyword(s):  
Pregnant Women ◽  
Health Belief Model ◽  
Health Belief ◽  
Education Intervention ◽  
Belief Model ◽  
The Impact ◽  
The Health Belief Model

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 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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