一个基于语音的应用程序的共同设计,与其最终用户一起监测长期的COVID症状:一种混合方法研究
Aurélie Fischer1,2, Gloria Aguayo1, India Pinker3
1Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.
Digital health
|September 11, 2024
概括
长期COVID患者需要更好的监测工具. 一个新的基于语音的应用程序Long COVID Companion是与患者和医疗保健专业人员共同设计的,用于跟踪症状并改善日常生活.
科学领域:
- 数字健康创新数字健康创新
- 职业生物标志物研究研究
- 患者为中心的护理
背景情况:
- 长期COVID (PWLC) 在获得护理和管理复杂,波动性疾病方面提出了重大挑战.
- 由于医疗负担,症状变化和未来不确定性,PWLC经历了生活质量受损.
- 对于有效的长期COVID健康监测,需要创新,最小破坏性的解决方案.
研究的目的:
- 共同设计一个基于语音的数字健康应用程序,用于长期COVID症状监测.
- 了解PWLC和医疗保健专业人员 (HCP) 关于长期COVID护理的未满足需求和期望.
- 探索声乐生物标志物在数字健康监测环境中的潜力.
主要方法:
- 在共同设计过程中采用混合方法方法.
- 涉及PWLC和HCP,以确定健康监测应用程序的需求,障碍和促进者.
- 开发一个网络应用程序,长期COVID伴侣,具有症状自我评估和标准化问卷.
主要成果:
- 最终用户对数字健康应用程序的需求和期望很高,以监测长期COVID症状.
- 在最终用户中,使用声乐生物标志物的准备已得到确认.
- 关键问题集中在可访问性和数据隐私上,而期望则集中在改善护理和日常生活上.
结论:
- 长期COVID伴侣应用程序旨在填补支持PWLC的关键缺口.
- 该应用程序为管理长期COVID症状提供日常帮助.
- 需要进一步的研究来评估应用程序的可接受性,可用性和发布后的有效性.
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