预测数字联系人追踪接受的先例:系统审查和元分析
1Department of Business Management, National United University, No.1, 360301, Lienda, Miaoli, Taiwan, Republic of China. kuangmingkuo@gmail.com.
BMC medical informatics and decision making
|October 11, 2023
概括
了解影响数字联系人追踪 (DCT) 接受的因素是公共卫生的关键. 这次元分析综合了证据,发现规范和感知到的有用性预测了DCT的采用,而隐私问题并没有显著影响它.
科学领域:
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
- 行为科学 行为科学
背景情况:
- 数字联系人追踪 (DCT) 对于管理COVID-19等传染病爆发至关重要.
- 之前对DCT接受因素的研究产生了不一致的结果.
- 缺乏现有的DCT接受性研究的统计综合.
研究的目的:
- 系统地审查和元分析数字联系人跟踪验收的先例.
- 识别潜在的调节者,影响先例与DCT接受之间的关系.
主要方法:
- 分别对76项和25项研究进行了系统审查和元分析.
- 由于观察到的异质性 (Q,I2,H指数),采用了随机效应模型.
- 使用防故障N来评估出版偏差.
主要成果:
- 大多数研究的因素,不包括隐私问题和对COVID-19的恐惧,显著预测了DCT的接受.
- 规范和感知的有用性成为DCT接受的关键预测因素.
- 个人主义/集体主义文化层面调节了规范和隐私问题的影响,对DCT的意图.
结论:
- 这一元分析阐明了影响DCT接受的各种先例的效果大小.
- 个人主义/集体主义等文化因素在缓解DCT接受方面发挥着重要作用.
- 结果可以为制定有针对性的战略提供信息,以提高DCT采用率,以应对未来的公共卫生挑战.
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