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预测长期参与mHealth应用程序:对参与指数的比较研究
Yae Won Tak1, Jong Won Lee2, Junetae Kim3
1Department of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Journal of medical Internet research
|September 9, 2024
概括
一个新的参与度指数 (EI) 模型显著改善了对用户长期参与数字健康应用程序的预测. 这种增强的EI为移动健康干预提供了对患者坚持和应用程序有效性的更好的洞察力.
科学领域:
- 数字健康数字健康
- 医疗信息学 医疗信息学
- 移动卫生干预行动 移动卫生干预行动
背景情况:
- 数字健康应用程序提供了超越传统医疗保健的可访问性和患者参与度增加的潜力.
- 目前缺乏用于量化衡量长期参与数字治疗的工具.
研究的目的:
- 评估现有的参与指数 (EI),以便在商业健康管理应用中长期使用.
- 将现有EI的业绩与新开发的EI进行比较.
主要方法:
- 包括使用Noom应用程序的随机对照试验中的240名癌症幸存者.
- 创建了一个新开发的EI,适应来自Web矩阵访客指数 (点击深度,最近,忠诚度) 的测量.
- 新的EI与现有的EI进行了比较,以预测长期参与的准确性.
主要成果:
- 新开发的EI模型与现有模型相比,显示出优异的预测性能 (MSE 0.025与0.096,R2 0.610与0.053).
- 现有的EI显示了与生存的显著关联:点击深度 (HR 0.49) 和忠诚度 (HR 0.17).
- 使用免费版本应用程序菜单的新EI模型表现最好,显示了与忠诚度 (HR 0.32) 和近期 (HR 0.47) 的显著关联.
结论:
- 新开发的EI模型更有效地预测移动健康应用程序的长期用户参与和合规性.
- 日志数据对于EI评估至关重要,未来的研究应该解决主观性问题,并纳入更广泛的指数.
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