为高血压管理提供个性化信息支持:在中国安农村的一个开放标签集群随机对照试验
Xingrong Shen1, Ruirui Cui1, Nana Li1
1School of Health Services Management, Anhui Medical University, Hefei Anhui, 230032, China.
The Lancet regional health. Western Pacific
|June 16, 2025
概括
个性化数字干预在高血压管理中显著降低了缩血压 (SBP). 这种方法提供了一个有前途的策略,以改善患者的治疗结果和控制高血压并发症.
科学领域:
- 心脏病学 心脏病学
- 数字健康数字健康
- 公共卫生 公共卫生
背景情况:
- 个性化高血压管理 (PHM) 对于改善血压 (BP) 治疗和控制率至关重要.
- 数字干预显示了使PHM成为可能的巨大潜力.
- 目前的方法往往缺乏个性化,导致低于最佳的高血压控制.
研究的目的:
- 评估高血压管理的数字应用程序中个性化信息的附加值.
- 评估12个月的数字干预对血压和相关健康结果的影响.
- 通过实用数字工具利用客观行为来更好地控制高血压.
主要方法:
- 一个双臂集群随机对照试验在中国安省进行.
- 这项研究涉及2392名患者,反应率为96.84%.
- 主要结局是静缩血压 (SBP);次要结局包括静缩血压 (DBP),血压控制率,QALY和不良事件,使用通用线性混合建模分析.
主要成果:
- 干预组在12个月后显示SBP降低 -5.60 mmHg (p < 0.001).
- 在24个月后,调整后的SBP差异为-3.93 mmHg (p < 0.001).
- 在干预组中没有观察到副作用的风险增加.
结论:
- 通过数字应用程序提供的个性化信息支持在控制高血压及其并发症方面是有效的.
- 这些发现支持将这种数字干预融入常规临床实践.
- 需要进一步的实施策略来最大限度地发挥这种PHM方法的好处.
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