Asselin Nicholas, Choi Bryan, Pettit Catherine C, Dannecker Max, Machan Jason T, Merck Derek L, Merck Lisa H, Suner Selim, Williams Kenneth A, Baird Janette, Jay Gregory D, Kobayashi Leo
From the Department of Emergency Medicine (N.A., B.C., L.H.M., S.S., K.A.W., J.B., L.K., G.D.J.), Alpert Medical School of Brown University, Providence, RI; Emergency Department (C.C.P.), Tobey Hospital, Wareham, MA; Lifespan Medical Simulation Center (M.D.); Biostatistics Core (J.T.M.), Rhode Island Hospital; Departments of Diagnostic Imaging (D.L.M., L.H.M.) and Neurosurgery (L.H.M.), Alpert Medical School of Brown University; and School of Engineering (G.D.J.), Brown University, Providence, RI.
Simul Healthc. 2018 Dec;13(6):376-386. doi: 10.1097/SIH.0000000000000339.
Protocolized automation of critical, labor-intensive tasks for out-of-hospital cardiac arrest (OHCA) resuscitation may decrease Emergency Medical Services (EMS) provider workload. A simulation-based assessment method incorporating objective and self-reported metrics was developed and used to quantify workloads associated with standard and experimental approaches to OHCA resuscitation.
Emergency Medical Services-Basic (EMT-B) and advanced life support (ALS) providers were randomized into two-provider mixed-level teams and fitted with heart rate (HR) monitors for continuous HR and energy expenditure (EE) monitoring. Subjects' resting salivary α-amylase (sAA) levels were measured along with Borg perceived exertion scores and multidimensional workload assessments (NASA-TLX). Each team engaged in the following three OHCA simulations: (1) baseline simulation in standard BLS/ALS roles; (2) repeat simulation in standard roles; and then (3) repeat simulation in reversed roles, ie, EMT-B provider performing ALS tasks. Control teams operated with standard state protocols and equipment; experimental teams used resuscitation-automating devices and accompanying goal-directed algorithmic protocol for simulations 2 and 3. Investigators video-recorded resuscitations and analyzed subjects' percent attained of maximal age-predicted HR (%mHR), EE, sAA, Borg, and NASA-TLX measurements.
Ten control and ten experimental teams completed the study (20 EMT-Basic; 1 EMT-Intermediate, 8 EMT-Cardiac, 11 EMT-Paramedic). Median %mHR, EE, sAA, Borg, and NASA-TLX scores did not differ between groups at rest. Overall multivariate analyses of variance did not detect significant differences; univariate analyses of variance for changes in %mHR, Borg, and NASA-TLX from resting state detected significant differences across simulations (workload reductions in experimental groups for simulations 2 and 3).
A simulation-based OHCA resuscitation performance and workload assessment method compared protocolized automation-assisted resuscitation with standard response. During exploratory application of the assessment method, subjects using the experimental approach appeared to experience reduced levels of physical exertion and perceived workload than control subjects.
对院外心脏骤停(OHCA)复苏中关键且劳动强度大的任务进行标准化自动化操作,可能会减轻紧急医疗服务(EMS)提供者的工作量。开发了一种基于模拟的评估方法,该方法纳入了客观和自我报告的指标,并用于量化与OHCA复苏的标准方法和实验方法相关的工作量。
紧急医疗服务基础(EMT-B)和高级生命支持(ALS)提供者被随机分成由两名提供者组成的混合级别团队,并配备心率(HR)监测器,以持续监测心率和能量消耗(EE)。测量受试者静息时的唾液α淀粉酶(sAA)水平,同时记录博格自觉用力评分和多维工作量评估(NASA-TLX)。每个团队进行以下三次OHCA模拟:(1)标准基础生命支持/高级生命支持角色的基线模拟;(2)标准角色的重复模拟;然后(3)角色互换的重复模拟,即EMT-B提供者执行ALS任务。对照组按照标准的州协议和设备进行操作;实验组在模拟2和3中使用复苏自动化设备及配套的目标导向算法协议。研究人员对复苏过程进行视频记录,并分析受试者达到最大年龄预测心率的百分比(%mHR)、能量消耗、sAA、博格评分和NASA-TLX测量值。
十个对照组和十个实验组完成了研究(20名紧急医疗服务基础人员;1名中级急救员、8名心脏急救员、11名护理人员)。静息时,各组之间的%mHR、能量消耗、sAA、博格评分和NASA-TLX评分中位数无差异。总体多变量方差分析未发现显著差异;对静息状态下%mHR、博格评分和NASA-TLX变化的单变量方差分析发现,各模拟之间存在显著差异(实验组在模拟2和3中的工作量减少)。
一种基于模拟的OHCA复苏性能和工作量评估方法,将标准化自动化辅助复苏与标准响应进行了比较。在该评估方法探索性应用过程中,采用实验方法的受试者似乎比对照组受试者体力消耗和自觉工作量水平更低。