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解救时间预测工具。

Extrication time prediction tool.

作者信息

Nutbeam Tim, Fenwick Rob, Hobson Charles, Holland Vikki, Palmer Michael

机构信息

The Emergency Department, Derriford Hospital Plymouth, UK.

Emergency Department, Shrewsbury and Telford Hospitals NHS Trust, Telford, UK.

出版信息

Emerg Med J. 2015 May;32(5):401-3. doi: 10.1136/emermed-2013-202864. Epub 2014 Apr 17.

Abstract

BACKGROUND

Many patients will require extrication following a motor vehicle collision (MVC). Little information exists on the time taken for extrication or the factors which affect this time.

OBJECTIVE

To derive a tool to predict the time taken to extricate patients from MVCs.

METHODS

A prospective, observational derivation study was carried out in the West Midland Fire Service's metropolitan area. An expert group identified factors that may predict extrication time-the presence and absence of these factors was prospectively recorded at eligible extrications for the study period. A step-down multiple regression method was used to identify important contributing factors.

RESULTS

Factors that increased extrication times by a statistically significant extent were: a physical obstruction (10 min), patients medically trapped (10 min per patient) and any patient physically trapped (7 min). Factors that shortened extrication time were rapid access (-7 min) and the car being on its roof (-12 min). All these times were calculated from an arbitrary time (which assumes zero patients) of 8 min.

CONCLUSIONS

This paper describes the development of a tool to predict extrication time for a trapped patient. A number of factors were identified which significantly contributed to the overall extrication time.

摘要

背景

许多患者在机动车碰撞事故(MVC)后需要救援。关于救援所需时间或影响该时间的因素的信息很少。

目的

推导一种预测从机动车碰撞事故中解救患者所需时间的工具。

方法

在西米德兰兹郡消防局的大都市区进行了一项前瞻性观察性推导研究。一个专家小组确定了可能预测救援时间的因素——在研究期间,在符合条件的救援行动中前瞻性地记录这些因素的存在与否。采用逐步多元回归方法确定重要的影响因素。

结果

在统计学上显著增加救援时间的因素有:物理障碍物(10分钟)、医疗被困患者(每位患者10分钟)和任何身体被困患者(7分钟)。缩短救援时间的因素有快速进入现场(-7分钟)和车辆车顶朝上(-12分钟)。所有这些时间都是从一个任意时间(假设零患者)8分钟计算得出的。

结论

本文描述了一种预测被困患者救援时间的工具的开发。确定了一些对总体救援时间有显著影响的因素。

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