使用5C模型探索疫苗决策的流行前模式:来自2016年和2018年代表性调查的结果
Sarah Eitze1,2, Lisa Felgendreff3,4,5, Nina Horstkötter6
1Institute for Planetary Health Behaviour, University Erfurt, 99089, Erfurt, Germany. sarah.eitze@uni-erfurt.de.
BMC public health
|April 30, 2024
概括
5C模型,包括信心,自满,约束,计算和集体责任,比人口统计学更好地解释疫苗接种行为. 了解这些心理因素是公共卫生干预的关键.
科学领域:
- 心理学 心理学 心理学
- 公共卫生 公共卫生
- 疫苗学 疫苗学 疫苗学
背景情况:
- 5C模型 (信心,自满,约束,计算,集体责任) 提供了一个理解疫苗接种决定的框架.
- 研究人员检查了一般人群,特定疫苗 (如流感) 和目标群体的流行前疫苗接种行为.
- 除了5C模型之外,还考虑了社会人口统计学变量.
研究的目的:
- 用5C模型和社会人口统计学变量来解释一般的疫苗接种行为.
- 分析特定疫苗的疫苗接种行为,如流感疫苗.
- 调查特定目标群体的疫苗接种意图和行为,包括老年人,父母和医疗保健工作者.
主要方法:
- 两项代表性的德国电话调查于2016年 (n=5,012) 和2018年 (n=5,054) 进行.
- 收集的数据包括5C因素,自我报告的疫苗接种行为和疫苗接种意图.
- 目标群体包括家长,59岁以上的人,慢性病患者,移民背景的人,孕妇和医疗保健工作者.
主要成果:
- 与单独的社会人口统计学变量相比,5C模型对疫苗接种行为的解释能力更高.
- 在所有组中,对疫苗安全性和有效性的信心是一致的重要预测因素.
- 自满和约束也是重要的预测因素,而计算对流感疫苗接种意图很重要.
结论:
- 这项研究为了解疫苗接种行为建立了一个基准,这对于评估疫苗接受中与流行病相关的转变至关重要.
- 这些发现有助于研究人员研究大流行病对疫苗接种行为的影响.
- 干预设计人员可以利用这些见解,为特定受众量身定制策略,并改善疫苗接种率.
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