对COVID-19疫苗接种干预的反应:对17K个未经请求的短信回复进行了定性分析
Eva Susanne Blazek1, Ashley B West1, Amy Bucher1
1Behavioral Reinforcement Learning Lab (BReLL), Lirio.
概括
分析未经请求的短信回复显示了COVID-19疫苗接种的关键障碍. 了解这些见解,包括错误信息,可以改善未来的公共卫生干预措施,以提高疫苗接种率.
科学领域:
- 公共卫生 公共卫生
- 行为科学 行为科学
- 卫生沟通健康沟通
背景情况:
- 由于不断变化的行为决定因素,开发有效的COVID-19疫苗接种干预措施具有挑战性.
- 针对疫苗接种的机器学习个性化消息通过短消息服务 (SMS) 产生了意想不到的,大量的实时反.
研究的目的:
- 分析针对COVID-19疫苗接种干预的未经请求的SMS回复.
- 确定疫苗接种的障碍,并探索这些障碍和反应类型的人口差异.
主要方法:
- 对来自10948个收件人的17090条短信回复进行了定性分析.
- 将回复分类为22个主题,具有很高的互评者一致性 (κ > 0.62).
- 奇方位分析以评估人口统计学变化和消息回复关系.
主要成果:
- 最常见的答案包括"已经接种疫苗" (31.1%),取消订阅尝试 (25.4%) 和"不会接种疫苗" (12.7%).
- 在"已经接种疫苗"和"不会接种疫苗"的回答群体中发现了显著的人口差异 (p < .001).
- 错误信息/错误信息占"不会接种疫苗"答案的34%,这表明未经验证的信念发挥了作用.
结论:
- 不被要求的反为影响COVID-19疫苗接种行为的障碍提供了有价值的见解.
- 了解这些障碍和人口差异可以改进干预策略,以改善疫苗接种率.
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