模拟儿科急诊医疗服务的工作流程研究

Mustafa Ozkaynak, Zhan Zhang, Kathleen Adelgais
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 Methods: This is a secondary analysis exploring high-fidelity videorecorded simulations, performed by emergency personnel. Two scenarios were used in 19 simulations which consisted of a 15-month and a 1-month old with respiratory decompensation and shock requiring intravenous fluid, respiratory support, and medication administration. One trained investigator performed review of the videos of teams EMS practitioners, quantifying the sequence and number of tasks performed and time to completion of the simulated intervention. The variance in sequence of tasks was quantified using the Levenshtein distance. We quantified the proportion of time with no activity (idle time) and temporal overlap (team multitasking time).
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摘要

目的:工作流程分析是了解复杂系统中临床护理的重要方法。这对于低频率的事件尤其如此,例如在院外环境中照顾儿童。本研究的目的是表征紧急医疗服务(EMS)在模拟紧急院前遭遇儿童护理中的工作流程。 方法:这是对由急救人员进行的高保真录像模拟的二次分析。在19个模拟中使用了两种情况,包括15个月大和1个月大的呼吸失代偿和休克,需要静脉输液,呼吸支持和药物管理。一名训练有素的调查人员对团队EMS从业人员的视频进行了回顾,量化了所执行任务的顺序和数量以及完成模拟干预的时间。使用Levenshtein距离量化任务序列的方差。我们量化了没有活动(空闲时间)和时间重叠(团队多任务处理时间)的比例。 结果:我们在模拟过程中确定了17种不同的任务。在执行的任务的顺序、类型和数量上,模拟具有很高的可变性。团队多任务处理在所有场景中都被注意到,多任务处理比例平均为99%(范围:52-202%)。空闲时间的平均比例为4%(范围:0-11%)。在所有录像中观察体重估计、静脉或骨内通路、无线电报告、血糖水平(BGL)、给药、脉搏检查和呼吸检查。其他任务只在一定比例的不同频率的场景中被观察到。情境间任务顺序差异的中位数为15。 结论:我们的分析发现,团队多任务处理的比例很高,完成任务的频率和顺序也存在显著差异。需要进一步的研究来评估这种程度的可变性对院前干预的效率和效果的原因和影响。
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Examining Workflow for Simulated Pediatric Emergency Medical Services Care
Purpose: Workflow analysis is an important approach for understanding clinical care in complex systems. This is particularly true for low frequency events such as the care of children in the out-of-hospital setting. The purpose of this study was to characterize emergency medical service (EMS) workflow in the care of children during simulated emergency, prehospital encounters. Methods: This is a secondary analysis exploring high-fidelity videorecorded simulations, performed by emergency personnel. Two scenarios were used in 19 simulations which consisted of a 15-month and a 1-month old with respiratory decompensation and shock requiring intravenous fluid, respiratory support, and medication administration. One trained investigator performed review of the videos of teams EMS practitioners, quantifying the sequence and number of tasks performed and time to completion of the simulated intervention. The variance in sequence of tasks was quantified using the Levenshtein distance. We quantified the proportion of time with no activity (idle time) and temporal overlap (team multitasking time). Results: We identified 17 types of distinct tasks performed during the simulation. There was high variability across simulations in the sequences, types, and number of tasks performed. Team multitasking was noted in all scenarios, with a mean of 99% multitasking ratio (range: 52-202%). Mean proportion of idle time was 4% (range: 0-11%). Weight estimate, intravenous or intraosseous access, radio report, blood glucose level (BGL), medication administration, pulse check and respiration check were observed in all videos. Other tasks were observed in only a proportion of scenarios with varying frequencies. Median number of differences in sequence of tasks between scenarios was 15. Conclusions: Our analysis found a high percentage of team multitasking and significant variability in frequency and sequence of task completion. Further research is needed to assess the reasons and effect of this degree of variability on the efficiency and effectiveness of prehospital interventions.
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