The predictors of the intention to receive Covid-19 vaccine using the health belief model and theory of planned behavior in South Khorasan province

利用健康信念模型和计划行为理论预测南呼罗珊省民众接种新冠疫苗的意愿

阅读:1

Abstract

BACKGROUND: Widespread vaccination coverage in the shortest time is one of the most effective ways for controlling the COVID-19 pandemic. Factors affecting people's intention to get the COVID-19 vaccine are of great importance. The present study aimed to investigate the predictors of the intention to receive the Covid-19 vaccine based on the constructs of the health belief model (HBM) and theory of planned behavior (TPB) in South Khorasan Province. MATERIALS AND METHODS: In this cross-sectional-analytical study, 320 people over 18 years in South Khorasan province were randomly selected by cluster sampling method in 2021. The data was collected by a researcher-made questionnaire, including demographic information (9 questions), and the constructs of the health belief model (19 questions), and the theory of planned behavior (13 questions), using the self-report method. Finally, data were analyzed using t-test, ANOVA, linear regression, and Pearson correlation tests. RESULTS: The mean age of the study participants was 36.57 ± 11.56 with a range of 18-66 years. In the regression model, perceived susceptibility (β = 0.247, P = 0.003), perceived severity (β = 0.247, P = 0.003) from HBM, attitude (β = 0.247, P = 0.003), and perceived behavioral control (β = 0.247, P = 0.003) from TPB were significant predictors of the intention to get the Covid-19 vaccine. The constructs of the two models were able to explain 33% of the variance of the intention to receive the Covid-19 vaccine. CONCLUSIONS: The study findings reveal that HBM and TPB can predict factors affecting an individual's intention to receive the vaccine. The results can be utilized to design interventions with the aim of increasing vaccine uptake.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。