儿科群体伤事件的反应——功能共振分析方法的视角——经验教训。
Paediatric mass casualty response through the lens of Functional Resonance Analytical Methodology- lessons learned.
机构信息
Department of Paediatric Anaesthesia, Royal Manchester Children's Hospital, Manchester, UK.
School of Engineering, Cardiff University, Cardiff, UK.
出版信息
Scand J Trauma Resusc Emerg Med. 2024 Sep 20;32(1):93. doi: 10.1186/s13049-024-01264-4.
BACKGROUND
Mass Casualty Incidents are rare but can significantly stress healthcare systems. Functional Resonance Analytical Methodology (FRAM) is a systematic approach to model and explore how complex systems adapt to variations and to understand resilient properties in the face of perturbations. The aim of this study was to use FRAM to create a model of a paediatric trauma system during the initial response to the Manchester Arena Attack to provide resilience-based insights for the management of future Mass Casualty Incidents (MCI).
METHODS
Qualitative interviews in the immediate aftermath of a terrorist bombing, were followed up with further in-depth probing of subject matter experts to create a validated and verified FRAM model. This model was compared with real incident data, then simplified for future studies.
RESULTS
A Work As Imagined (WAI) model of how a paediatric emergency department provided resilient healthcare for MCI patients from reception and resuscitation to definitive care is presented. A focused model exploring the pathway for the most severely injured patients that will facilitate the simulation of a myriad of potential emergency preparedness resilience response scenarios is also presented.
CONCLUSIONS
The systematic approach undertaken in this study has produced a model of a paediatric trauma system during the initial response to the Manchester Arena Attack, providing key insights on how a resilient performance was sustained. This modelling may provide an important step forward in the preparedness and planning for future MCIs.
背景
大规模伤亡事件虽然罕见,但却会给医疗系统带来巨大压力。功能共振分析方法(FRAM)是一种系统的方法,可以对模型进行建模和探索,了解复杂系统如何适应变化,并在面对干扰时理解弹性特性。本研究旨在使用 FRAM 为曼彻斯特竞技场袭击事件的初步应对期间创建一个儿科创伤系统模型,为未来大规模伤亡事件(MCI)的管理提供基于弹性的见解。
方法
在恐怖爆炸事件发生后立即进行定性访谈,随后对主题专家进行进一步深入探究,以创建经过验证和验证的 FRAM 模型。将该模型与实际事件数据进行比较,然后进行简化,以便将来进行研究。
结果
提出了一种工作想象模型(WAI),展示了儿科急诊部如何在接收和复苏到明确治疗期间为 MCI 患者提供弹性医疗服务。还提出了一个专注于探索最严重受伤患者途径的简化模型,这将有助于模拟无数潜在的紧急准备弹性响应场景。
结论
本研究采用的系统方法产生了曼彻斯特竞技场袭击事件初步应对期间的儿科创伤系统模型,提供了有关如何维持弹性性能的关键见解。这种建模可能是为未来的大规模伤亡事件做好准备和规划的重要一步。