长期COVID症状和人口统计学关联:使用医疗保健应用数据的回顾性案例系列研究
David Sunkersing1, Henry Goodfellow1, Yi Mu1
1University College London, London, UK.
JRSM open
|September 4, 2024
概括
长期COVID症状很普遍,疼痛和疲劳是最常见的. 年龄,性别,种族和社会经济地位等人口因素对症状强度产生重大影响,需要有针对性的干预措施.
科学领域:
- 医学研究 医学研究
- 公共卫生 公共卫生
- 数字健康数字健康
背景情况:
- 长期COVID (LC) 是一个复杂的挑战,具有广泛的持续症状.
- 了解这些症状的患病率和强度对于有效的患者管理至关重要.
- 数字健康应用程序提供了一种新的方式来收集关于LC体验的真实世界的数据.
研究的目的:
- 通过数字健康应用程序调查长期COVID症状的频谱.
- 探索人口因素与长期COVID症状强度之间的关联.
主要方法:
- 一个回顾性病例系列分析1008个长期COVID患者.
- 从2020年11月至2022年3月期间从数字医疗保健应用程序中收集的数据.
- 分析的重点是自我报告的症状类别和强度,与人口统计数据相关联.
主要成果:
- 确定了109种症状类别;疼痛 (26.5%),神经心理问题 (18.4%),疲劳 (14.3%) 和呼吸障碍 (7.4%) 是最常见的.
- 症状强度随着时间的推移而增加,在老年人群,女性和非白人个人中更高.
- 高等教育和较低地区的贫困与不那么强烈的症状有关.
结论:
- 医疗保健战略必须优先考虑常见的长期COVID症状,并支持专门的诊所.
- 人口因素显著影响症状严重程度,需要量身定制的干预措施.
- 研究结果可以为改善长期COVID管理的公共卫生政策提供信息.
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