评估基于大型语言模型的家庭血压管理数字工具的临床有效性和患者体验:混合方法研究研究
Alan Jelic1, Igor Sesto1, Luka Rotkvic1
1Magdalena Clinic for Cardiovascular Diseases, Zagreb, Croatia.
JMIR mHealth and uHealth
|November 3, 2025
概括
数字工具有效地管理高血压,显著降低血压并提高用户满意度. 高保留率显示了这种心血管疾病的长期参与潜力.
科学领域:
- 数字健康数字健康
- 心血管医学 心血管医学
- 医疗信息学 医疗信息学
背景情况:
- 高血压是一种普遍存在的全球心血管疾病,需要全面管理.
- 传统的高血压管理面临着坚持的挑战.
- 数字健康工具提供远程监控和实时支持作为有前途的替代方案.
研究的目的:
- 评估数字健康工具在高血压管理中的有效性.
- 了解用户体验和对该工具的满意度.
- 确定该工具对持续参与和降低血压的潜力.
主要方法:
- 一组5136名参与者使用了数字高血压管理工具.
- 该工具提供了持续的血压监测,实时反和个性化的建议.
- 数据收集包括血压值,保留率和在线用户满意度调查.
主要成果:
- 在使用者中观察到血压显著降低.
- 使用时间和降低血压之间存在正相关性.
- 报告了高的保留率 (50.3%在1年内) 和用户满意度,用户指出易用性和减少焦虑.
结论:
- 数字健康工具可以有效地让用户参与长期高血压管理.
- 以用户为中心的设计对于有效的数字健康干预至关重要.
- 这些工具显示出作为传统高血压护理的有价值补充的潜力.
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