开发一种算法,通过个性化的营养和基于物联网的监测,影响COPD护理
Prachi Sharma1, Mihir Gharia2, Devina Aswal2
1Tatvacare, Ahmedabad, India. prachisharma.kota@gmail.com.
Journal of health, population, and nutrition
|January 18, 2025
概括
这项研究表明,MyTatva应用程序显著改善了COPD患者的临床结果,包括肺功能和运动能力,患者满意度很高. 数字治疗方法为治疗慢性呼吸道疾病提供了有希望的结果.
科学领域:
- 肺部医学 肺部医学
- 数字健康数字健康
- 临床研究 临床研究
背景情况:
- 慢性阻塞性肺病 (COPD) 是一个重要的全球健康问题,患病率和死亡率很高.
- 有效的管理策略对于改善患者的治疗结果和生活质量至关重要.
研究的目的:
- 为了评估COPD患者MyTatva应用程序中的算法驱动的护理计划的临床有效性.
- 评估数字治疗对关键临床参数和患者满意度的影响.
主要方法:
- 一项涉及10名COPD患者的研究.
- 在应用程序实施之前和之后,评估1秒内强制呼吸量 (FEV1),体重,体重指数 (BMI) 和6分钟步行测试 (6MWT) 距离.
- 通过CSAT调查测量患者满意度.
主要成果:
- 在FEV1显著改善,中位数从2.0 L增加到3.24 L (p=0.0379).
- 体重中位数 (86公斤到70公斤,p=0.0007) 和BMI (28.43公斤/米2到24公斤/米2,p=0.0031) 的减少.
- 改善6MWT距离 (420m至568m,p=0.0019) 和85%的整体患者满意度.
结论:
- MyTatva应用程序的算法和个性化护理计划导致了COPD管理的实质性临床改进.
- 数字治疗方法证明了有效管理慢性呼吸道疾病的潜力.
- 实时反和全面功能有助于积极的患者结果和满意度.
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