开发和验证提高医院大规模伤亡事件响应计划激活准确性的新工具:PEMAAF评分。

IF 2.1 4区 医学 Q2 EMERGENCY MEDICINE
Prehospital and Disaster Medicine Pub Date : 2023-12-01 Epub Date: 2023-11-24 DOI:10.1017/S1049023X23006593
Claudia Ruffini, Monica Trentin, Alberto Corona, Marta Caviglia, Giuseppe Maria Sechi, Maurizio Migliari, Riccardo Stucchi, Luca Ragazzoni, Roberto Fumagalli
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引用次数: 0

摘要

引言:大规模伤亡事件(MCI)的有效应对需要激活医院MCI计划。不幸的是,文献中没有可用的工具来支持医院响应者预测MCI计划激活的适当水平。本文描述了基于科学的方法,用于开发、测试和验证PEMAAF评分(邻近、事件、多人、过度拥挤、临时病房减少容量、时间转移插槽[prossimit、Evento、Moltitudine、Affollamento、Accorpamento、Fascia Oraria],这是一种能够预测医院MCI计划激活所需水平并促进多医院网络协调激活的工具。方法:在意大利米兰市进行了三个阶段的研究:(1)回顾性分析过去的行动后MCI报告(AARs);(2) PEMAAF评分制定;(3) PEMAAF分数验证。验证阶段需要一个多步骤的过程,包括使用评分对过去的MCIs进行两次回顾性分析,焦点小组讨论(FGD)和基于前瞻性模拟的研究。采用回归模型、Spearman’s Rho检验和受试者工作特征/ROC分析曲线对评分的敏感性和特异性进行分析。结果:回顾性分析和FGD的结果被用于改进PEMAAF评分,其中包括六个项目-接近性,事件,数量,急诊科(ED)过度拥挤,临时病房缩减能力和时间移位-允许识别三个优先级别(得分5-6:绿色警报;7-9分:黄色警戒;10-12分:红色警戒)。当前瞻性分析时,PEMAAF评分确定了夜班和节假日期间最频繁的医院MCI计划激活(>10),11分与更高的敏感性系统相关,12分与更高的特异性相关。结论:PEMAAF评分允许在发生MCI时均衡和充分分配响应,促使医院根据实际需要激活MCI计划,并考虑整个医院响应网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and Validation of a New Tool to Improve the Accuracy of the Hospital Mass-Casualty Incident Response Plan Activation: The PEMAAF Score.

Introduction: Effective response to a mass-casualty incident (MCI) entails the activation of hospital MCI plans. Unfortunately, there are no tools available in the literature to support hospital responders in predicting the proper level of MCI plan activation. This manuscript describes the scientific-based approach used to develop, test, and validate the PEMAAF score (Proximity, Event, Multitude, Overcrowding, Temporary Ward Reduction Capacity, Time Shift Slot [Prossimità, Evento, Moltitudine, Affollamento, Accorpamento, Fascia Oraria], a tool able to predict the required level of hospital MCI plan activation and to facilitate a coordinated activation of a multi-hospital network.

Methods: Three study phases were performed within the Metropolitan City of Milan, Italy: (1) retrospective analysis of past MCI after action reports (AARs); (2) PEMAAF score development; and (3) PEMAAF score validation. The validation phase entailed a multi-step process including two retrospective analyses of past MCIs using the score, a focus group discussion (FGD), and a prospective simulation-based study. Sensitivity and specificity of the score were analyzed using a regression model, Spearman's Rho test, and receiver operating characteristic/ROC analysis curves.

Results: Results of the retrospective analysis and FGD were used to refine the PEMAAF score, which included six items-Proximity, Event, Multitude, Emergency Department (ED) Overcrowding, Temporary Ward Reduction Capacity, and Time Shift Slot-allowing for the identification of three priority levels (score of 5-6: green alert; score of 7-9: yellow alert; and score of 10-12: red alert). When prospectively analyzed, the PEMAAF score determined most frequent hospital MCI plan activation (>10) during night and holiday shifts, with a score of 11 being associated with a higher sensitivity system and a score of 12 with higher specificity.

Conclusions: The PEMAAF score allowed for a balanced and adequately distributed response in case of MCI, prompting hospital MCI plan activation according to real needs, taking into consideration the whole hospital response network.

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来源期刊
Prehospital and Disaster Medicine
Prehospital and Disaster Medicine Medicine-Emergency Medicine
CiteScore
3.10
自引率
13.60%
发文量
279
期刊介绍: Prehospital and Disaster Medicine (PDM) is an official publication of the World Association for Disaster and Emergency Medicine. Currently in its 25th volume, Prehospital and Disaster Medicine is one of the leading scientific journals focusing on prehospital and disaster health. It is the only peer-reviewed international journal in its field, published bi-monthly, providing a readable, usable worldwide source of research and analysis. PDM is currently distributed in more than 55 countries. Its readership includes physicians, professors, EMTs and paramedics, nurses, emergency managers, disaster planners, hospital administrators, sociologists, and psychologists.
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