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 < 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 < 0.05), while influenza vaccination history was additionally associated with influenza vaccine acceptance (p < 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

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 Determinants of Acceptance of Coronavirus Disease-2019 (COVID-19) Vaccine Among Lebanese Health Care Workers Using Health Belief Model

2021 ◽  
Author(s):  
Dalal Youssef ◽  
Linda Abou Abbas ◽  
Atika Berry ◽  
Janet Youssef ◽  
Hamad Hassan
Keyword(s):  
Health Care ◽  
Health Belief Model ◽  
Health Care Workers ◽  
Statistical Significance ◽  
Health Belief ◽  
Acceptance Rate ◽  
Categorical Variables ◽  
Vaccine Acceptance ◽  
Care Workers ◽  
Belief Model

Abstract Background: Since Health care workers (HCWs) are at high occupational risk for COVID-19, they are prioritized for immunization. This study aims to assess the acceptance rate of COVID-19 vaccine among HCWs and to identify its determinants.Methodology: A web-based cross-sectional study was conducted over the period extending from 10 to 31 December 2020 among Lebanese HCWs. The Health Belief Model (HBM) was used as theoretical framework. Descriptive statistics were reported using frequency with percentages for categorical variables. Bivariate and multivariable logistic regression were carried out to identify the factors associated with the acceptance of COVID-19 vaccine. Adjusted odds ratio and their 95% confidence intervals were reported. The level of statistical significance was set at a p-value < 0.05. Results: A total of 1800 HCWs have completed the survey. Around half of them were frontliners aged between (30-49) years old. About two third (67.33%) have received their influenza vaccine this year. The acceptance rate of COVID-19 vaccine among surveyed HCWs was 58%. Being a male (aOR=1.988, 95% CI (1.411-2.801)), working in the frontline (aOR=1.610, 95% CI (1.173-2.209), and having received influenza vaccination this year (aOR=1.378, 95% CI(0.990-1.916))were significantly associated with higher COVID-19 vaccine acceptance. However, living in rural area (aOR=0.606, 95%CI (0.440-0.836)), personal history of COVID-19 (aOR=0.695, 95%CI (0.470-1.029), novelty of vaccine (aOR=0.424, 95% CI (0.255-0.706)), side effects (aOR=0.413, 95%CI (0.234-0.731), reliability of manufacturer (aOR=0.434, 95% CI (0.297-0.633) and vaccine frequency (aOR=0.580, 95% CI (0.403-0.836) were negatively associated with the willingness to take it. Remarkably, limited availability (aOR=2.161, 95% CI(1.461-3.197) and accessibility (aOR=1.680, 95% CI (1.141-2.474) to the vaccine were also positively associated to its uptake. Similarly, HCWs who perceived vaccine benefits were more likely to get vaccinated (aOR=11.048, 95% CI (7.993-15.269)). With regards to cues of action, having reliable and adequate information regarding the vaccine (aOR=1.979, 95% CI (1.361-2.878)), recommendation by health authorities (aOR=1.976, 95% CI(1.343-2.908)) or health facilities (aOR=2.684, 95% CI(1.804-3.994)) were positively linked to vaccine acceptance, whilst recommendation by family members (aOR=0.479, 95% CI(0.283-0.811)) was negatively related to it. Conclusion:Pointing out the factors driving moderate vaccine acceptance among HCWs via targeting messages addressing key concerns would be required to reach higher vaccination rate.

scholarly journals Nonattendance at Scheduled Appointments in Outpatient Clinics Due to COVID-19 and Related Factors in Taiwan: A Health Belief Model Approach

2021 ◽  
Vol 18 (9) ◽  
pp. 4445
Author(s):  
Yi-Ping Hsieh ◽  
Cheng-Fang Yen ◽  
Chia-Fen Wu ◽  
Peng-Wei Wang
Keyword(s):  
Health Behaviors ◽  
Health Belief Model ◽  
Health Beliefs ◽  
Online Survey ◽  
Health Belief ◽  
Three Dimensions ◽  
Outpatient Clinics ◽  
Related Factors ◽  
Study Results ◽  
Belief Model

During the COVID-19 pandemic, the number of hospital visits and attendance at scheduled appointments have dropped significantly. We used the health belief model (in three dimensions) to examine the determinants of non-attendance of scheduled appointments in outpatient clinics due to the COVID-19 pandemic. Participants in Taiwan (n = 1954) completed an online survey from 10 April 10 to 23 April 2020, which assessed how people perceived and responded to the outbreak of a fast-spreading infectious disease. We performed both univariate and multivariate logistic regression to examine the roles of cognitive, affective, and behavioral health belief constructs in nonattendance at scheduled appointments. The results indicated that individuals who perceived high confidence in coping with COVID-19 were less likely to miss or cancel their doctor’s appointments, whereas individuals who reported high anxiety and practiced more preventive health behaviors, including avoiding crowded places, washing hands more often, and wearing a mask more often, were more likely to miss or cancel their appointments due to the COVID-19 pandemic. Non-heterosexual participants had a lower rate of nonattendance at scheduled appointments compared with heterosexual ones. The study results increase our understanding of the patients’ cognitive health beliefs, psychological distress, and health behaviors when assessing adherence to medical appointments during a pandemic.

Treatment Preferences for Postpartum Depression Among New Israeli Mothers: The Contribution of Health Beliefs and Social Support

2021 ◽  
pp. 107839032110420
Author(s):  
Meital Simhi ◽  
Julie Cwikel ◽  
Orly Sarid
Keyword(s):  
Social Support ◽  
Postpartum Depression ◽  
Health Belief Model ◽  
Health Beliefs ◽  
Health Belief ◽  
Treatment Preferences ◽  
Sociodemographic Variables ◽  
Health Clinics ◽  
Model Components ◽  
Belief Model

Background: Postpartum depression (PPD) may have adverse outcomes for mothers, their infants, and families. Despite the negative consequences of PPD many women hesitate to seek treatment. The theoretical concepts of this study were based on the health belief model, which focuses on the individual’s attitudes, beliefs, and intentions to seek treatment. Objective: The aim of the study was to examine whether health beliefs and social support mediate the links between sociodemographic variables and treatment preferences for PPD. Method: Cross-sectional survey, including 1,000 Jewish mothers attending the maternal and child health clinics in Israel for their infant’s medical exam, 4 weeks to 6 months postpartum. Results: Mother’s age and years of education correlated positively with preferences to receive treatment in the private sector and from professionals working in mental health clinics. The greater the number of children, the less likely new mothers were to favor these preferences. Structural equation modeling showed several mediating pathways: social support mediated the links between sociodemographic variables to health belief model components such as perceived benefits, barriers, and environmental cues. Health belief model components also mediated the links between sociodemographic factors and preferences for place of treatment, professionals, and modes of treatment for PPD. Conclusions: Health belief model components and social support are important mediating components that help explain mothers’ PPD treatment preferences. Health professionals such as psychiatric or public health nurses should increase awareness of women at risk for PPD and elicit their preferred treatment options.

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