Section of Anesthesia and Critical Care, Department of Anesthesia and Critical Care, Azienda Ospedaliero-Universitaria Careggi-Università di Firenze, 50134, Florence, Italy.
International Joint PhD in Global Health, Humanitarian Aid and Disaster Medicine, Università del Piemonte Orientale, Novara, Italy.
Intern Emerg Med. 2023 Aug;18(5):1521-1532. doi: 10.1007/s11739-023-03233-8. Epub 2023 Mar 1.
As a prolonged surge scenario, the COVID-19 pandemic has offered an unparalleled opportunity to improve hospital surge capacity (SC) understanding and the ability to manage it. In this study, the authors report the experience of a large hospital network and evaluate potential relationships between Intensive Care Units SC (ICU-SC) and some hospital-related variables: bed occupancy, emergency department admissions, ward admission from ED, and elective surgery procedures. Pearson's partial correlation coefficient (r) has been used to define the relationship between SC and the daily values of the above variables, collected through a dedicated digital platform that also ensured a regular quality check of the data. The observation has concerned several levels of analysis, namely two different types of SC calculation (SC base-SCb and SC actual-SCa), hospital category level and multi-hospital level, and two consecutive pandemic waves. Among the 16 hospitals observed, the correlation was shown to be moderate-positive with non-ICU bed occupancy (r/ = 0.62, r/ = 0.54), strong/moderate with ICU bed occupancy (r/ = 0.72, r/ = 0.54), and moderate with ward admissions from ED (r/ = 0.50, r/ = 0.51) On the contrary, the correlation proved to be moderate-negative with ED admissions (r/ = - 0.69, r/ = - 0.62) and low with the number of elective surgery procedures (r/ = - 0.10, r/ = - 0.16). This study identified a positive correlation between SC and three variables monitored: ICU bed occupancy, non-ICU bed occupancy, and ward admissions from ED. On the contrary, the correlation was negative for ED admission and the number of elective surgery procedures. The results have been confirmed across all levels of analysis adopted.
作为一个长期的激增情况,COVID-19 大流行提供了一个无与伦比的机会,可以提高医院扩充能力 (SC) 的理解和管理能力。在这项研究中,作者报告了一个大型医院网络的经验,并评估了 ICU-SC(重症监护室扩充能力)和一些与医院相关的变量之间的潜在关系:重症监护病房床位占用率、急诊部入院人数、从急诊部转入病房的人数以及择期手术数量。皮尔逊偏相关系数(r)被用于定义 SC 与上述变量的日值之间的关系,这些数据通过一个专门的数字平台收集,该平台还确保了数据的定期质量检查。观察涉及几个分析层次,即两种不同类型的 SC 计算(SCb 和 Sca)、医院类别层次和多医院层次,以及两个连续的大流行波。在所观察的 16 家医院中,相关性被证明与非 ICU 床位占用率呈中度正相关(r/=0.62,r/=0.54),与 ICU 床位占用率呈强/中度相关(r/=0.72,r/=0.54),与从急诊部转入病房的人数呈中度正相关(r/=0.50,r/=0.51)。相反,与急诊部入院人数呈中度负相关(r/=−0.69,r/=−0.62),与择期手术数量呈低度负相关(r/=−0.10,r/=−0.16)。本研究确定了 SC 与三个监测变量之间的正相关:ICU 床位占用率、非 ICU 床位占用率和从急诊部转入病房的人数。相反,急诊部入院人数和择期手术数量与 SC 呈负相关。采用的所有分析层次都证实了这一结果。