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加利福尼亚州圣贝纳迪诺县紧急医疗服务(EMS)前往创伤中心预计行程时间感知的准确性

Accuracy of Perceived Estimated Travel Time by EMS to a Trauma Center in San Bernardino County, California.

作者信息

Neeki Michael M, MacNeil Colin, Toy Jake, Dong Fanglong, Vara Richard, Powell Joe, Pennington Troy, Kwong Eugene

机构信息

Arrowhead Regional Medical Center, Department of Emergency Medicine, Colton, California.

Western University of Health Sciences, College of Osteopathic Medicine of the Pacific, Pomona, California.

出版信息

West J Emerg Med. 2016 Jul;17(4):418-26. doi: 10.5811/westjem.2016.5.29809. Epub 2016 Jun 21.

DOI:10.5811/westjem.2016.5.29809
PMID:27429692
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4944798/
Abstract

INTRODUCTION

Mobilization of trauma resources has the potential to cause ripple effects throughout hospital operations. One major factor affecting efficient utilization of trauma resources is a discrepancy between the prehospital estimated time of arrival (ETA) as communicated by emergency medical services (EMS) personnel and their actual time of arrival (TOA). The current study aimed to assess the accuracy of the perceived prehospital estimated arrival time by EMS personnel in comparison to their actual arrival time at a Level II trauma center in San Bernardino County, California.

METHODS

This retrospective study included traumas classified as alerts or activations that were transported to Arrowhead Regional Medical Center in 2013. We obtained estimated arrival time and actual arrival time for each transport from the Surgery Department Trauma Registry. The difference between the median of ETA and actual TOA by EMS crews to the trauma center was calculated for these transports. Additional variables assessed included time of day and month during which the transport took place.

RESULTS

A total of 2,454 patients classified as traumas were identified in the Surgery Department Trauma Registry. After exclusion of trauma consults, walk-ins, handoffs between agencies, downgraded traumas, traumas missing information, and traumas transported by agencies other than American Medical Response, Ontario Fire, Rialto Fire or San Bernardino County Fire, we included a final sample size of 555 alert and activation classified traumas in the final analysis. When combining all transports by the included EMS agencies, the median of the ETA was 10 minutes and the median of the actual TOA was 22 minutes (median of difference=9 minutes, p<0.0001). Furthermore, when comparing the difference between trauma alerts and activations, trauma activations demonstrated an equal or larger difference in the median of the estimated and actual time of arrival (p<0.0001). We also found month and time of day to be associated with variability in the difference between the median of the estimated and actual arrival time (p=0.0082 and p=0.0005 for month and time of the day, respectively).

CONCLUSION

EMS personnel underestimate their travel time by a median of nine minutes, which may cause the trauma team to abandon other important activities in order to respond to the emergency department prematurely. The discrepancy between ETA and TOA is unpredictable, varying by month and time of day. As such, a better method of estimating patient arrival time is needed.

摘要

引言

调动创伤资源可能会对医院的整体运营产生连锁反应。影响创伤资源有效利用的一个主要因素是紧急医疗服务(EMS)人员传达的院前预计到达时间(ETA)与他们的实际到达时间(TOA)之间存在差异。本研究旨在评估加利福尼亚州圣贝纳迪诺县一家二级创伤中心的EMS人员所感知的院前预计到达时间与他们实际到达时间的准确性。

方法

这项回顾性研究纳入了2013年被分类为警报或启动并转运至箭头区域医疗中心的创伤病例。我们从外科创伤登记处获取了每次转运的预计到达时间和实际到达时间。计算了EMS人员到创伤中心的ETA中位数与实际TOA中位数之间的差异。评估的其他变量包括转运发生的日期和时间。

结果

外科创伤登记处共识别出2454例被分类为创伤的患者。在排除创伤会诊、自行前来就诊、机构间交接、降级的创伤、信息缺失的创伤以及由美国医疗响应、安大略消防、里亚尔托消防或圣贝纳迪诺县消防以外的机构转运的创伤后,我们在最终分析中纳入了555例警报和启动分类的创伤作为最终样本量。当合并所纳入的EMS机构的所有转运时,ETA的中位数为10分钟,实际TOA的中位数为22分钟(差异中位数 = 9分钟,p<0.0001)。此外,在比较创伤警报和启动之间的差异时,创伤启动在预计和实际到达时间的中位数上显示出相同或更大的差异(p<0.0001)。我们还发现月份和时间与预计和实际到达时间中位数之间差异的变异性相关(月份和时间的p值分别为0.0082和0.0005)。

结论

EMS人员将他们的行程时间低估了中位数9分钟,这可能会导致创伤团队放弃其他重要活动,以便过早地对急诊科做出响应。ETA和TOA之间的差异是不可预测的,会因月份和时间而有所不同。因此,需要一种更好的方法来估计患者到达时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d20f/4944798/99ed97d886a8/wjem-17-418-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d20f/4944798/6cdd670b86fc/wjem-17-418-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d20f/4944798/99ed97d886a8/wjem-17-418-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d20f/4944798/6cdd670b86fc/wjem-17-418-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d20f/4944798/63d4792a7746/wjem-17-418-g002.jpg
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