Hirshberg Asher, Scott Bradford G, Granchi Thomas, Wall Matthew J, Mattox Kenneth L, Stein Michael
Trauma Modeling Center, Ben Taub General Hospital and Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas, USA.
J Trauma. 2005 Apr;58(4):686-93; discussion 694-5. doi: 10.1097/01.ta.0000159243.70507.86.
The aim of this modeling study was to examine how casualty load affects the level of trauma care in multiple casualty incidents and to define the surge capacity of the hospital trauma assets.
The disaster plan of a U.S. Level I trauma center was translated into a computer model and challenged with simulated casualties based on 223 patients from 22 bombing incidents treated at an Israeli hospital. The model assigns providers and facilities to casualties and computes the level of care for each critical casualty from six variables that reflect the composition of the trauma team and access to facilities.
The model predicts a sigmoid-shaped relationship between casualty load and the level of care, with the upper flat portion of the curve corresponding to the surge capacity of the trauma assets of the hospital. This capacity is 4.6 critical patients per hour using immediately available assets. A fully deployed disaster plan shifts the curve to the right, increasing the surge capacity to 7.1. Overtriage rates of 50% and 75% shift the curve to the left, decreasing the surge capacity to 3.8 and 2.7, respectively.
This model defines the quantitative relationship between an increasing casualty load and gradual degradation of the level of trauma care in multiple casualty incidents, and defines the surge capacity of the hospital trauma assets as a rate of casualty arrival rather than a number of beds. The study demonstrates the value of dynamic computer modeling as an important tool in disaster planning.
本建模研究的目的是探讨伤亡人数如何影响多起伤亡事件中的创伤护理水平,并确定医院创伤资源的应急能力。
将一家美国一级创伤中心的灾难计划转化为计算机模型,并根据以色列一家医院收治的22起爆炸事件中的223名患者进行模拟伤亡测试。该模型为伤亡人员分配医护人员和设施,并根据反映创伤团队组成和设施使用情况的六个变量计算每名重伤员的护理水平。
该模型预测伤亡人数与护理水平之间呈S形关系,曲线的上平部分对应医院创伤资源的应急能力。使用现有资源时,这一能力为每小时4.6名重伤患者。全面实施的灾难计划会使曲线右移,将应急能力提高到7.1。50%和75%的过度分诊率会使曲线左移,应急能力分别降至3.8和2.7。
该模型定义了多起伤亡事件中伤亡人数增加与创伤护理水平逐渐下降之间的定量关系,并将医院创伤资源的应急能力定义为伤亡到达率而非床位数量。该研究证明了动态计算机建模作为灾难规划中重要工具的价值。