基于人口的COVID-19医疗保健成本匹配队列研究,安大略省,加拿大
Emerging infectious diseases
|March 25, 2025
概括
感染COVID-19导致长期医疗保健成本显著,特别是在急性和末期阶段. 了解这些成本对于有效的卫生系统和流行病规划至关重要.
科学领域:
- 卫生经济学 卫生经济学
- 流行病学 流行病学
- 公共卫生 公共卫生
背景情况:
- 估计可归因于COVID-19 (冠状病毒病2019) 的医疗保健成本对于卫生系统规划至关重要.
- 关于与COVID-19相关的特定医疗保健成本的数据有限.
- 了解这些成本对于资源分配和未来的流行病准备是必不可少的.
研究的目的:
- 描述可归因于COVID-19的医疗保健成本.
- 从卫生系统的角度估计基于阶段和生存率调整的成本.
- 为预算和流行病规划提供数据.
主要方法:
- 基于人口的匹配队列研究在加拿大安大略省.
- 利用卫生行政数据将SARS-CoV-2-阳性个体与未暴露的历史对照匹配.
- 匹配了159,817名个人 (COVID-19病例和对照) 进行分析.
主要成果:
- 平均10天的可归因成本因阶段而异:$ 240 (急性护理),$ 18 (后急性),$ 3,928 (末期阶段/早期死亡),$ 1,781 (晚期死亡).
- 360天的平均累积生存调整成本为每人2,553美元.
- 显著的长期医疗保健成本与SARS-CoV-2感染有关.
结论:
- COVID-19 感染与大量和长期的医疗保健支出有关.
- 特定阶段的成本数据对于卫生系统预算和疫情应对计划非常有价值.
- 这些发现与对长期健康影响的理解一致,例如COVID后的状况.
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