Sydney Local Health District Public Health Unit, Sydney, NSW, Australia.
Sydney Local Health District, Infection Prevention and Control, Sydney, NSW, Australia.
BMC Public Health. 2023 Sep 11;23(1):1763. doi: 10.1186/s12889-023-16634-3.
COVID-19 outbreaks have disproportionately affected Residential Aged Care Facilities (RACFs) around the world, with devastating impacts for residents and their families. Many factors such as community prevalence, facility layout, and infection control practices have been linked to resident outcomes. At present, there are no scoring systems designed to quantify these factors and assess their level of association with resident attack rates and mortality rates.
We constructed a novel Infection Prevention and Control (IPC) scoring system to quantify facility layout, ability to cohort residents, and IPC practices in RACFs. We conducted a retrospective observational cohort study of COVID-19 outbreaks, applying our IPC scoring system to all COVID-19 outbreaks occurring in RACFs in Sydney Local Health District during the Delta and Omicron waves of the COVID-19 pandemic in New South Wales, Australia.
Twenty-six COVID-19 outbreaks in 23 facilities in the Delta wave, and 84 outbreaks in 53 facilities in the Omicron wave were included in the study. A linear Generalised Estimating Equation model was fitted to the Omicron data. Higher IPC scores were associated with higher attack rates and mortality rates. Facilities with IPC scores greater than 75.0% had attack rates 19.6% higher [95% CI: 6.4%-32.8%] and mortality rates 1.7% higher [95% CI: 0.6%-2.7%] than facilities with an IPC score of less than 60.0%.
The results of this study suggest the utility of the IPC scoring system for identifying facilities at greater risk of adverse outcomes from COVID-19 outbreaks. While further validation and replication of accuracy is required, the IPC scoring system could be used and adapted to improve planning, policy, and resource allocation for future outbreaks.
COVID-19 疫情在全球范围内对养老院(RACFs)造成了不成比例的影响,给居民及其家人带来了毁灭性的影响。社区流行率、设施布局和感染控制措施等许多因素都与居民的结果有关。目前,没有设计用于量化这些因素并评估它们与居民攻击率和死亡率之间关联程度的评分系统。
我们构建了一种新的感染预防和控制(IPC)评分系统,用于量化 RACFs 中的设施布局、居民分组能力和 IPC 措施。我们对 COVID-19 疫情在澳大利亚新南威尔士州悉尼地方卫生区的 RACFs 中发生的所有 COVID-19 疫情进行了回顾性观察性队列研究,应用我们的 IPC 评分系统对 COVID-19 疫情进行了分析。
在 Delta 波中,23 个设施发生了 26 起 COVID-19 疫情,在 Omicron 波中,53 个设施发生了 84 起疫情。对 Omicron 数据进行了广义估计方程模型拟合。较高的 IPC 评分与较高的攻击率和死亡率相关。IPC 评分大于 75.0%的设施的攻击率比 IPC 评分小于 60.0%的设施高 19.6%[95%CI:6.4%-32.8%],死亡率高 1.7%[95%CI:0.6%-2.7%]。
这项研究的结果表明,IPC 评分系统可用于识别 COVID-19 疫情中发生不良结果风险较高的设施。虽然需要进一步验证和复制准确性,但 IPC 评分系统可用于改进未来疫情的规划、政策和资源分配,并进行调整。