Alagarsamy Subburaj, Mehrolia Sangeeta, Pushparaj Ushanandini, Jeevananda S
Manipal Academy of Higher Education, Dubai Campus, UAE.
School of Business and Management, Christ University, Bangalore, India.
Vaccine X. 2022 Apr;10:100140. doi: 10.1016/j.jvacx.2021.100140. Epub 2022 Jan 5.
The World Health Organization (WHO) has proposed a tool to measure behavioral and social drivers (BeSD) of vaccination uptake intentions of people across all countries. This study tests BeSD model to predict people's intentions to uptake COVID-19 vaccination in rural India.
An online cross-sectional survey was developed for the purpose based on the components of the BeSD model, i.e., confidence, motivation, and behavioral intention. A convenient sampling technique was used to collect samples, amounting to a total of 625, from rural Bengaluru, in the Karnataka state of India. Structural equation modelling (SEM) was applied to examine the proposed model. All respondents for the survey were in the age category of 18-68 years with a mean age of 35 years.
The results showed that 85% of COVID-19 vaccine uptake intentions can directly or indirectly be attributed to the government's vaccine communication strategy, perceived threats about the vaccine, and their trust in the healthcare sector. The dimensions of the vaccine acceptance scale (motivation factors) act as a mediator between these factors and COVID-19 vaccination uptake (the behavioral factor).
The study demonstrates that the BeSD framework is an efficient model for predicting the COVID-19 vaccination uptake in India.
世界卫生组织(WHO)提出了一种工具,用于衡量各国人民疫苗接种意愿的行为和社会驱动因素(BeSD)。本研究测试了BeSD模型,以预测印度农村地区人们接种新冠疫苗的意愿。
基于BeSD模型的组成部分,即信心、动机和行为意图,为此开展了一项在线横断面调查。采用便利抽样技术从印度卡纳塔克邦班加罗尔农村地区收集样本,共625个。应用结构方程模型(SEM)对所提出的模型进行检验。该调查的所有受访者年龄在18-68岁之间,平均年龄为35岁。
结果表明,85%的新冠疫苗接种意愿可直接或间接归因于政府的疫苗宣传策略、对疫苗的感知威胁以及他们对医疗保健部门的信任。疫苗接受度量表的维度(动机因素)在这些因素与新冠疫苗接种(行为因素)之间起中介作用。
该研究表明,BeSD框架是预测印度新冠疫苗接种情况的有效模型。