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为儿科急诊科应对放射性散布装置事件制定实用算法。

Developing a practical algorithm for a pediatric emergency department's response to radiological dispersal device events.

作者信息

Reynolds Sally L, Crulcich Mary Margaret, Sullivan Glenn, Stewart Miriam T

机构信息

Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.

出版信息

Pediatr Emerg Care. 2013 Jul;29(7):814-21. doi: 10.1097/PEC.0b013e3182983bd6.

Abstract

OBJECTIVE

In the aftermath of the detonation of a radiological dispersal device (RDD), or "dirty bomb," a large influx of children would be expected to present to the emergency department, including many patients not directly affected by the event who present with concerns regarding radiation exposure. Our objective was to develop an algorithm for efficiently and effectively triaging and appropriately treating children based on the likelihood of their having been contaminated or exposed.

METHODS

The hospital's disaster preparedness committee with the help of disaster planning experts engaged in an iterative process to develop a triage questionnaire and patient flow algorithm for a pediatric hospital following an RDD event. The questionnaire and algorithm were tested using hypothetical patients to ensure that they resulted in appropriate triage and treatment for the full range of anticipated patient presentations and were then tested in 2 live drills to evaluate their performance in real time.

RESULTS

The triage questionnaire reduced triage times and accurately sorted children into groups based on the type of intervention they required. Nonmedical personnel were able to administer the triage questionnaire effectively with minimal training, relieving professional staff. The patient flow algorithm and supporting materials provided direction to staff about how to appropriately treat patients once they had been triaged.

CONCLUSIONS

In the event of the detonation of an RDD, the triage questionnaire and patient flow algorithm presented would enable pediatric hospitals to direct limited resources to children requiring intervention due to injury, contamination, or exposure.

摘要

目的

在放射性散布装置(RDD)即“脏弹”爆炸后,预计会有大量儿童涌入急诊科,其中包括许多未直接受该事件影响但担心辐射暴露的患者。我们的目标是开发一种算法,以便根据儿童受污染或暴露的可能性,高效且有效地对其进行分诊和适当治疗。

方法

医院的灾难准备委员会在灾难规划专家的帮助下,开展了一个迭代过程,为一家儿科医院制定了在RDD事件后的分诊问卷和患者流程算法。使用虚拟患者对问卷和算法进行测试,以确保它们能对所有预期的患者表现进行适当的分诊和治疗,然后在两次实战演练中进行测试,以实时评估其性能。

结果

分诊问卷缩短了分诊时间,并根据儿童所需的干预类型准确地将他们分组。非医疗人员经过最少的培训就能有效地进行分诊问卷,从而减轻了专业人员的负担。患者流程算法及辅助材料为工作人员提供了指导,说明如何在患者分诊后对其进行适当治疗。

结论

在RDD爆炸事件中,所提出的分诊问卷和患者流程算法将使儿科医院能够将有限的资源用于因受伤、污染或暴露而需要干预的儿童。

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