一个拟议的多领域数字模型,用于在瘤学中捕捉功能状态和与健康有关的生活质量
Elena S Izmailova1, John A Wagner1, Jessie P Bakker2,3
1Koneksa Health, New York, New York, USA.
Clinical and translational science
|January 24, 2024
概括
数字健康技术 (DHT) 可以通过捕捉患者的功能状态来改善瘤学临床试验. 这种新模型使用连接的工具来收集高分辨率的数据,从而提高了患者的结果评估.
科学领域:
- 在瘤学瘤学.
- 数字健康数字健康
- 临床试验 临床试验
背景情况:
- 传统瘤学临床试验的终点至关重要,但在捕捉患者功能状态方面是有限的.
- 现有的功能状态评估存在数字健康技术 (DHT) 可以解决的局限性.
研究的目的:
- 提出一种无关设备的多域模型,用于使用DHTs捕捉瘤学中的功能状态.
- 概述一个全面的方法,整合客观和自我报告的结果,以加强临床决策.
主要方法:
- 利用连接的数字工具,在临床环境之外进行高分辨率,真实世界的数据收集.
- 包括体力活动,生命体征,睡眠变量和电子问卷.
- 一个无关设备的模型,可以适应各种数字健康技术.
主要成果:
- DHT能够持续,客观地测量患者在日常生活中的功能状态.
- 将客观数据与电子问卷相结合,可以提供全面的患者个人资料.
- 讨论了初步测试和采用的实际考虑.
结论:
- 拟议的DHT支持模型提供了一个高分辨率的方法来评估瘤学中的功能状态.
- 成功过渡到干预试验和护理管理需要多机构的合作.
- 该模型增强了在临床研究中对新型治疗方法和患者结果的评估.
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