多领域行为变化2型糖尿病患者慢性疾病管理的数字辅导:框架开发和初步评估
Konstantina Kostopoulou1, Danae Lekka1, Aristodemos Pnevmatikakis1
1Innovation Sprint Srl, Brussels, Belgium.
JMIR formative research
|July 9, 2025
概括
一个新的多代理系统为更健康的生活方式提供了个性化的数字指导,显示了2型糖尿病患者的显著改善. 这种方法通过数据驱动的策略和量身定制的干预措施来提高健康结果.
科学领域:
- 数字健康数字健康
- 行为科学 行为科学
- 医疗保健中的人工智能
背景情况:
- 不健康的生活方式推动全球健康问题,需要有效的行为改变策略.
- 对于持续改变健康行为而言,成本有效的数字指导目前是有限的.
研究的目的:
- 通过使用多代理推理系统来设计和执行行为改变策略的整体框架.
- 根据个人评估和数据驱动的决策,优化数字指导技术.
主要方法:
- 基于行为变化理论设计了一个多代理系统,以促进可持续的生活方式变化.
- 经过认证的医疗器械软件Healthentia集成了基于证据的实践,用于慢性疾病管理中的个性化数字指导.
- 该系统能够实现远程监控,数据驱动的内容选择和根据患者进度进行自适应指导.
主要成果:
- 用于2型糖尿病患者的应用显示,禁食葡萄糖 (平均-17.3 mg/dL) 和体重 (-2.89 公斤) 显著降低.
- 这些改进表明了很大的效果大小 (Cohen d ≈1.05) 和统计学意义 (P=.01).
- 个性化内容的交付得到了高度的接受,71.66%的内容得到了患者的好评.
结论:
- 多种药剂系统有望通过2型糖尿病的个性化数字指导来改善健康结果.
- 未来的工作包括优化该系统,进一步评估其有效性 (例如,与HbA1c),并扩展到其他慢性疾病.
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