Meta Analysis: Application of Health Belief Model Theory on COVID-19 Acceptance in General Population

Resta Dwi Yuliani, Hanung Prasetya, Bhisma Murti
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引用次数: 1

Abstract

Background: The COVID-19 vaccine is an effective strategy to prevent viral infection during global pandemic. Health belief model has been recommended to explain the acceptance of COVID-19 vaccination behavior in the community. This study aimed to estimate the perceived suscep-tibility to COVID-19 and the perceived benefit in receiving the COVID-19 vaccine. Subjects and Method: This study used a systematic review study design and a meta-analysis using PICO, Population: Society, Intervention: Perceptions of high susceptibility to COVID-19 and high perceptions of benefits about the COVID-19 vaccine. Comparison: Low perceived suscep-tibility to COVID-19 and low perceived benefit of COVID-19 vaccine, Outcome: Acceptance of COVID-19 vaccine. The articles used in this study came from 4 databases, namely Pubmed, Sciencedirect, SpringerLink and Google Scholar. The keywords used in the article search were as follows "Health Belief Model" OR "HBM" AND "Acceptance" OR "Receive" AND "COVID-19 Vaccine" AND "General Population". The articles included in this study were full paper articles, cross sectional study designs, in 2020-2022 and the size of the relationship of Adj Odds Ratio (aOR).
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Meta分析:健康信念模型理论在普通人群COVID-19接受度中的应用
背景:COVID-19疫苗是全球大流行期间预防病毒感染的有效策略。健康信念模型被推荐用于解释社区对COVID-19疫苗接种行为的接受程度。本研究旨在评估对COVID-19的感知易感性和接种COVID-19疫苗的感知获益。研究对象和方法:本研究采用系统评价研究设计和荟萃分析,采用PICO、人群:社会、干预:对COVID-19高易感性的认识和对COVID-19疫苗益处的高度认识。比较:对COVID-19的低感知易感性和COVID-19疫苗的低感知获益,结局:接受COVID-19疫苗。本研究使用的文章来自Pubmed、Sciencedirect、SpringerLink和谷歌Scholar 4个数据库。文章搜索中使用的关键词为“健康信念模型”或“HBM”、“接受”或“接收”、“COVID-19疫苗”和“一般人群”。本研究纳入的文章为论文全文,横断面研究设计,研究时间为2020-2022年,相对值优势比(aOR)关系大小。
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