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基于健康的移动疾病管理计划对不受控制的高血压的异质关联:一个向试验仿真研究
Masashi Kanai1,2, Takahiro Miki1, Takuya Toda1
1Insight Lab, PREVENT Inc., Aichi, Japan.
PLOS digital health
|March 5, 2026
概括
数字健康计划在一年内改善了高血压控制. 然而,有效性各不相同,强调需要个性化的数字健康策略来管理高血压.
科学领域:
- 数字健康数字健康
- 心血管疾病管理管理
- 医疗信息学 医疗信息学
背景情况:
- 对于高血压的数字健康干预措施的长期有效性尚未得到充分证实.
- 对数字健康计划治疗反应的个体变异性需要进一步调查.
研究的目的:
- 检查基于健康的移动疾病管理计划与不受控制的高血压的关联.
- 通过使用目标试验仿真框架,评估高血压数字健康干预中的治疗效果异质性.
主要方法:
- 采用目标试验仿真框架来比较移动健康计划加上常规治疗与仅使用常规治疗.
- 利用结果回归与集机器学习和集群分析来估计治疗效应并识别子组.
主要成果:
- 与传统治疗相比,移动健康计划与未经控制的高血压患病率降低5.2%有关.
- 治疗反应显示出显著的异质性,在特定的患者亚组中观察到更大的益处.
- 年龄是治疗效益的一个因素,尽管与其他特征相比,其重要性较小.
结论:
- 基于移动健康的疾病管理计划可以在一年内改善血压控制.
- 治疗有效性的显著差异强调了在高血压管理中个性化数字健康策略的必要性.
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