释放移动健康的潜力:将行为改变技术整合到高血压应用程序设计中
Emily Motta-Yanac1, Riley Victoria1, Naomi J Ellis1
1Centre for Health and Development (CHAD), Staffordshire University, Stoke-on-Trent ST4 2DF, UK.
International journal of environmental research and public health
|October 29, 2025
概括
智能手机应用程序可以帮助高血压自我管理,但当前的选择往往缺乏关键功能. 人工智能驱动的应用程序在改变行为技巧方面更有前途.
科学领域:
- 数字健康数字健康
- 行为科学 行为科学
- 心血管健康 心血管健康
背景情况:
- 智能手机应用程序代表了高血压自我管理干预的可扩展方法.
- 现有的应用程序在结合行为改变技术和功能方面有所不同.
研究的目的:
- 描述高血压自我管理应用中的行为改变技术本体学 (BCTO) 元素.
- 将这些元素映射到理论领域框架 (TDF).
- 描述应用程序功能并评估其质量.
主要方法:
- 综合应用商店搜索发现了相关的高血压自我管理应用程序.
- 对BCTO元素和映射到TDF的应用程序的分析.
- 评估应用程序的功能和质量.
主要成果:
- 自我监控是常见的特征,但目标设定,专业沟通和数据出口不那么普遍.
- 人工智能支持的应用程序使用了比非人工智能或RCT测试的应用程序更广泛的行为改变技术 (BCT).
- 最受准的TDF领域是知识,情绪,行为调节,技能和对后果的信念.
结论:
- 高血压自我管理应用程序包括各种BCT,但可以通过更多的功能来增强.
- 需要更多地纳入BCTO来解决内在和习惯性行为方面的问题.
- 人工智能集成可能为高血压管理中的行为变化提供更全面的支持.
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