The knowledge of triage system in disaster among emergency medical service personnel at Saudi Red Crescent Authority in Riyadh city stations

IF 0.5 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Saqer M. Althunayyan, Abdullah Alhalybah, Ahmed Aloudah, Osama A. Samarkandi, Anas A. Khan
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Abstract

PurposeSimple Triage and Rapid Treatment (START) is a unique triage system used by prehospital providers during disasters to quickly categorize and prioritize patient care according to severity. This study aims at evaluating knowledge about the START triage system among field emergency medical service (EMS) personnel working at the Saudi Red Crescent Authority (SRCA) in the stations of the city of Riyadh.Design/methodology/approachThis is a cross-sectional study that examined data collected from August 2019 to January 2020. The statistical population is from all field EMS personnel working in the SRCA located in Riyadh, Saudi Arabia. Using simple random sampling, 239 field EMS personnel were assessed, and 235 completed the study (98.3% response rate). Data were collected electronically using demographics and 15 multiple choice emergency scenarios based on the START protocol.FindingsThe mean correct score is 8.21 ± 3.36 out of 15 questions of triage knowledge (score of 0–15 points), indicating that those respondents have moderate knowledge levels on the START triage tool. Physicians and paramedics have higher mean scores (10.13 ± 3.42 and 9.07 ± 3.22, respectively), which are significantly higher than emergency medical technicians and nurses (7.25 ± 3.15 and 5.63 ± 2.72, respectively; p < 0.05). The providers who attended the training course had higher mean scores (p < 0.05).Originality/valueBased on the results of the study, field EMS personnel did not reflect full knowledge of START triage tool. An interdisciplinary approach that adopts reinforcement education and periodical training courses is highly recommended to improve the respondents' performance and productivity. Moreover, there was a noticeable correlation between performance of respondents on the one hand and their education levels and prior training on the other hand.
利雅得市沙特红新月会急救医疗服务人员对灾难分诊系统的了解
简单分诊和快速治疗(START)是一种独特的分诊系统,用于灾害期间院前提供者根据严重程度对患者进行快速分类和优先护理。本研究旨在评估沙特红新月会(SRCA)在利雅得各站工作的现场紧急医疗服务(EMS)人员对START分诊系统的了解。设计/方法/方法这是一项横断面研究,研究了2019年8月至2020年1月收集的数据。统计人口来自在沙特阿拉伯利雅得SRCA工作的所有现场急救人员。采用简单随机抽样的方法,对239名现场EMS人员进行了评估,其中235人完成了研究,应答率为98.3%。数据是根据《削减战略武器条约》议定书,利用人口统计数据和15个多项选择紧急情况以电子方式收集的。在15道分诊知识题中(分值0 ~ 15分),平均正确率为8.21±3.36分,表明受访者对START分诊工具的知识水平中等。内科医生和护理人员的平均得分分别为10.13±3.42分和9.07±3.22分,显著高于急诊医务技术人员和护士的平均得分(分别为7.25±3.15分和5.63±2.72分);p < 0.05)。参加培训课程的提供者平均得分较高(p < 0.05)。原创性/价值根据研究结果,现场EMS人员没有反映出对START分类工具的充分了解。强烈建议采用跨学科的方法,采用强化教育和定期培训课程,以提高受访者的绩效和生产力。此外,受访者的表现与他们的教育水平和先前的培训之间存在显著的相关性。
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来源期刊
International Journal of Embedded Systems
International Journal of Embedded Systems COMPUTER SCIENCE, HARDWARE & ARCHITECTURE-
CiteScore
2.50
自引率
41.70%
发文量
56
期刊介绍: With the advent of VLSI system level integration and system-on-chip, the centre of gravity of the computer industry is now moving from personal computing into embedded computing. Embedded systems are increasingly becoming a key technological component of all kinds of complex technical systems, ranging from vehicles, telephones, audio-video-equipment, aircraft, toys, security systems, medical diagnostics, to weapons, pacemakers, climate control systems, manufacturing systems, intelligent power systems etc. IJES addresses the state of the art of all aspects of embedded computing systems with emphasis on algorithms, systems, models, compilers, architectures, tools, design methodologies, test and applications.
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