COVID-19大流行对实际数据中的临床状况捕获的影响:评估框架
Yehua Wang1, Yanning Wang1, Earl J Morris1
1Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL, United States of America.
American journal of epidemiology
|July 15, 2025
概括
COVID-19大流行改变了医疗保健数据,影响了病情测量和患者人群. 这项研究提供了分析现实数据中这些复杂变化的方法.
科学领域:
- 医疗信息学 医疗信息学
- 流行病学 流行病学
- 数据科学数据科学数据科学
背景情况:
- COVID-19大流行严重影响了医疗保健利用率和真实世界数据 (RWD).
- 了解这些影响对于准确的健康研究和患者护理至关重要.
- 寻求医疗保健行为的变化和数据捕获对RWD分析提出了挑战.
研究的目的:
- 分析COVID-19大流行对医疗保健利用和状况测量的影响.
- 区分患者群体的真实变化和数据采集的变化.
- 提供一种方法来评估RWD的流行病相关变化.
主要方法:
- 使用了MerativeTM MarketScan® 2018-2020年的商业索赔数据.
- 为患有特定指数疾病 (糖尿病,癌症,高血压,抑郁症,心脏病,Afib,尿路感染) 的患者开发了月度队列.
- 2020年与2019年的疾病患病率比较,包括使用CCSR和CCI进行并发症评估的回顾期 (LBP).
主要成果:
- 疾病患病率的变化有所不同,癌症的显著下降 (2020年4月为-57.4%) 和抑郁症的增加 (2020年12月为+11.8%).
- 2020年春季,平均查尔森并发症指数 (CCI) 较高,特别是较长的LBP.
- 临床分类软件精制 (CCSR) 类别数量的趋势反映了CCI的发现.
结论:
- 疾病状况和并发症的流行病相关变化是复杂的,观察到增加和减少.
- 伴随性疾病的捕捉因使用的回顾期而异.
- 该研究提供了一种实用的方法,包括开源算法和可视化工具,以评估这些RWD变化并为未来的研究设计提供信息.
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