Nindrea Ricvan Dana, Usman Elly, Katar Yusticia, Sari Nissa Prima
Department of Public Health and Community Medicine, Faculty of Medicine, Universitas Andalas, Padang, 25127, Indonesia.
Department of Pharmacology, Faculty of Medicine, Universitas Andalas, Padang, 25127, Indonesia.
Clin Epidemiol Glob Health. 2021 Oct-Dec;12:100899. doi: 10.1016/j.cegh.2021.100899. Epub 2021 Nov 1.
The most awaited solution is an efficient COVID-19 vaccine. COVID-19 vaccine acceptance has not been studied in a meta-analysis. The objective of this research was to find the acceptance of COVID-19 vaccination and correlated variables.
A systematic review of studies on acceptance of COVID-19 vaccination and correlated variables in the ProQuest, PubMed, and EBSCO to find relevant articles published between January 2020 and March 2021. Using fixed and random-effect models, the risk factors Pooled Odds Ratio (POR) were measured. The heterogeneity was calculated using the I-squared formula. Egger's and Begg's tests were utilised to determine publication bias. STATA 16.0 was used for all data processing and analysis.
This study results showed the related factors for COVID-19 vaccination acceptance, high income has the highest odd ratio (POR = 2.36), followed by encountered with COVID-19 (POR = 2.34), fear about COVID-19 (POR = 2.07), perceived benefits (POR = 1.81), flu vaccine during the previous season (POR = 1.69), healtcare workers (POR = 1.62), male (POR = 1.61), married (POR = 1.59), perceived risk (POR = 1.52), trust in health system (POR = 1.52), chronic diseases (POR = 1.47), high education (POR = 1.46), high level of knowledge (POR = 1.39), female (1.39), and older age (POR = 1.07). The heterogeneity calculation showed homogenous among studies in high income, fear about COVID-19, healthcare workers, married, chronic diseases, and female (I ≤ 50%). For the studies included in this review, there was no apparent publication bias.
The analysis of this review may be useful to the nation in determining the best method for implementing COVID-19 mass vaccination programs based on relevant factors that influence vaccine acceptance.
人们最期待的解决方案是一种有效的新冠疫苗。尚未有荟萃分析研究过新冠疫苗的接受情况。本研究的目的是了解新冠疫苗接种的接受度及相关变量。
在ProQuest、PubMed和EBSCO中对关于新冠疫苗接种接受度及相关变量的研究进行系统综述，以查找2020年1月至2021年3月期间发表的相关文章。使用固定效应模型和随机效应模型测量风险因素合并比值比（POR）。使用I²公式计算异质性。采用Egger检验和Begg检验来确定发表偏倚。所有数据处理和分析均使用STATA 16.0。
本研究结果显示了与新冠疫苗接种接受度相关的因素，高收入者的比值比最高（POR = 2.36），其次是接触过新冠病毒（POR = 2.34）、对新冠病毒的恐惧（POR = 2.07）、感知到的益处（POR = 1.81）、上一季接种过流感疫苗（POR = 1.69）、医护人员（POR = 1.62）、男性（POR = 1.61）、已婚（POR = 1.59）、感知到的风险（POR = 1.52）、对卫生系统的信任（POR = 1.52）、慢性病（POR = 1.47）、高学历（POR = 1.46）、知识水平高（POR = 1.39）、女性（1.39）以及年龄较大（POR = 1.07）。异质性计算表明，在高收入、对新冠病毒的恐惧、医护人员、已婚、慢性病和女性的研究中存在同质性（I≤50%）。对于本综述纳入的研究，没有明显的发表偏倚。
本综述的分析可能有助于该国根据影响疫苗接受度的相关因素确定实施新冠大规模疫苗接种计划的最佳方法。
