首页> 外文期刊>The American journal of emergency medicine >Prehospital triage and communication performance in small mass casualty incidents: a gauge for disaster preparedness.
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Prehospital triage and communication performance in small mass casualty incidents: a gauge for disaster preparedness.

机译:大规模人员伤亡事件中的院前分流和沟通表现:灾难准备的量度。

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摘要

Because of their infrequency, disasters are difficult to train for. Emergency prehospital personnel frequently participate in small mass casualty incidents (MCIs) (3 to 50 victims). This study sought to examine prehospital performance in small MCIs in areas that are frequently mismanaged in disasters. Prospective data from the resource physician and retrospective data from tape recorded prehospital conversations were collected for a 9-month period. Clinical patient data, patient demographics, emergency medical services squad characteristics, and triage information were recorded. Forty-five consecutive MCIs were studied. Most of these were motor vehicle accidents. Prehospital providers included paid providers, nonpaid providers, and air and ground transport. The mean number of victims first identified (4.6%) was greatly different than the mean number of victims eventually transported from a scene (7.1%). Most patients were treated at a level 1 trauma center. Frequent errors included having multiple communicators on site (38%), misidentifying the number of victims (56%), and having unclear information for the resource physician (43%). Only 38% of events had prehospital triage information that was deemed appropriate in total. These results show that scene and triage errors are frequent in MCIs of small scale. This information can be used to assay a system's readiness for disasters.
机译:由于灾害发生频率不高,因此很难进行培训。紧急的院前人员经常参加小规模的人员伤亡事件(MCI)(3至50名受害者)。这项研究试图检查在灾难中经常管理不善的地区的小型MCI的院前表现。在9个月的时间内,收集了资源医生的前瞻性数据和磁带录音的院前谈话的回顾性数据。记录了临床患者数据,患者人口统计资料,急诊医疗服务队的特征以及分类信息。研究了四十五个连续的MCI。其中大多数是机动车事故。院前提供者包括付费提供者,非付费提供者以及空运和地面运输。最初确定的受害者平均人数(4.6%)与最终从现场转移的受害者平均人数(7.1%)有很大不同。大多数患者在一级创伤中心接受治疗。常见的错误包括现场有多个沟通者(38%),错误地确定了受害人数(56%),以及资源医生的信息不清晰(43%)。只有38%的事件具有总体认为适当的院前分诊信息。这些结果表明,场景和分类错误在小规模的MCI中很常见。该信息可用于分析系统的灾难准备情况。

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