实现个性化的数字体验,促进糖尿病自我管理:混合方法 社交计算方法
Tavleen Singh1, Kirk Roberts1, Kayo Fujimoto2
1McWilliams School of Biomedical Informatics, The University of Texas Health Science Center, Houston, TX, United States.
JMIR diabetes
|January 8, 2025
概括
数字健康社区通过社会影响促进糖尿病自我管理 (DSM). 分析同行互动显示,交互式沟通和分享患者的结果增强了参与度,指导了个性化的数字干预.
科学领域:
- 数字健康数字健康
- 社交计算社会计算
- 行为科学 行为科学
背景情况:
- 2型糖尿病影响数百万,使得有效的糖尿病自我管理 (DSM) 是至关重要的.
- 数字健康社区为管理糖尿病的人提供了至关重要的社会支持.
- 了解这些社区中的同行互动可以个性化DSM干预.
研究的目的:
- 描述数字DSM社区中的社会影响模式.
- 确定干预目标,以促进用户参与DSM.
主要方法:
- 混合方法方法分析了来自美国糖尿病协会支持社区 (2014-2021) 的约73,000次同行互动.
- 手动注释和深度学习模型来编码交互.
- 社会网络分析,绘制沟通模式和关系的地图.
主要成果:
- 交互式沟通方式与用户参与度有积极的相关性.
- 讨论患者报告的结果和进展的用户更参与.
- 社会影响,由沟通内容和背景驱动,影响参与.
结论:
- 在数字社区中,社会影响在糖尿病自我管理中发挥着重要作用.
- 结果支持有针对性的数字干预,包括社区结构性变化,以提高用户参与度.
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