复杂慢性疾病管理中的可穿戴技术:对自我报告结果的初步调查结果
Abbey Sawyer1, Rory Preston2, Harry Leeming2
1Cohen Center for Recovery from Complex Chronic Illness, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Frontiers in digital health
|October 24, 2025
概括
家庭监控应用程序可以帮助患有长期Covid (LC) 和肌痛性脑筋炎/慢性疲劳综合征 (ME/CFS) 的人管理能量. 一项调查显示,用户报告了能源理解和管理的改善,尽管需要更多的研究.
科学领域:
- 生物医学工程 生物医学工程
- 数字健康数字健康
- 慢性疾病管理 慢性疾病管理
背景情况:
- 复杂的慢性疾病,如长期Covid (LC) 和肌痛性脑脊髓炎/慢性疲劳综合征 (ME/CFS) 在症状管理方面存在挑战,特别是运动后的不适 (PEM).
- 家庭监控技术为个人提供了一个潜在的途径来跟踪症状和生物识别,帮助自我管理.
- 这些技术对复杂的慢性疾病的疗效在很大程度上仍未确立.
研究的目的:
- 调查可见移动应用程序对患有复杂慢性疾病 (包括LC和ME/CFS) 的人的自我管理的影响.
- 通过移动健康应用程序探索与症状跟踪和能源管理相关的用户报告的好处.
主要方法:
- 一个随机样本的可见的移动应用程序用户 (可见的Plus) 与自我认定的复杂慢性疾病 (LC,ME/CFS,POTS,纤维肌痛,EDS,MCAS) 被邀请参加在线调查.
- 用描述性统计数据分析了1301名参与者的调查答案 (49.3%的响应率).
- 参与者报告了应用程序对慢性疾病自我管理,能源预算理解和整体幸福感的影响.
主要成果:
- 77%的用户至少有30天的数据报告了与应用程序使用相关的改进.
- 85%的使用者表示,他们对自己的状况有所改善或有所改善.
- 94%的用户报告说,他们对能源预算有了更好的了解.
结论:
- 家庭监控的移动应用程序是可行的,并可接受的动机个人与能源限制慢性疾病.
- 这些应用程序与能源管理和日常活动参与的自我报告的好处有关.
- 结果是描述性的和产生假设的,需要随机对照试验来评估临床疗效.
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