在数字烟草戒烟干预中预测早期戒烟:复制和扩展研究
Linda Q Yu1, Michael S Amato1,2, George D Papandonatos3
1Innovations Center, Truth Initiative, Washington, DC, United States.
Journal of medical Internet research
|November 27, 2024
概括
早期参与数字健康干预预测了用户退出. 第一周的网站或短信活动准确地识别了高风险的个体,使得有针对性的保留策略能够获得更好的健康结果.
科学领域:
- 数字健康干预措施 数字健康干预措施
- 行为科学是一种行为科学.
- 公共卫生 公共卫生
背景情况:
- 从数字干预中提前退出,阻碍了用户的保留和健康结果.
- 一个使用第一周登录数据的先前指标预测了戒烟干预措施中的戒烟率.
- 为了改进保留策略,需要将这个指标推广到各种数字干预措施中.
研究的目的:
- 为了复制布里克尔等人. 这是一个早期学预测模型,使用大规模的多式联络数字干预.
- 为了确定第一周的参与模式是否可以识别最有可能提前退出的用户.
- 为制定旨在改善用户保留的"救援"干预措施提供信息.
主要方法:
- 利用了EX数字烟草戒断干预的70,265名网络用户的数据.
- 定义了第一周的参与度,即在注册后7天内的页面浏览量或短信响应.
- 定义过早学是指在接下来的一年没有参与;使用回归模型根据每日参与模式来预测学.
主要成果:
- 多变量模型实现了0.72的AUC (95% CI 0.71-0.73),验证了早期学的预测.
- 单变模型显示,预测能力 (AUC) 在第一周的第4天增加.
- 随着后一天的参与度指标,模型灵敏度下降,而特异性增加.
结论:
- 第一周的参与有效地预测了不同数字干预模式和参与度量的早期学.
- 这种预测有效性支持使用早期参与作为解决低保留率的强大构造.
- 未来的研究应该专注于应用这个模型来开发改善用户保留和健康结果的干预措施.
关键词:
磨损 磨损 磨损 磨损 是一种停止停止的时间.数字干预的数字干预放弃 放弃 放弃 放弃参与 参与 参与 参与互联网互联网互联网互联网互联网互联网移动健康的移动健康手机电话 手机电话手机电话吸烟是为了吸烟.烟草烟草的烟草烟草是一种烟草.更多相关视频
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