Comparative Analysis of Emergency Medical Service Provider Workload During Simulated Out-of-Hospital Cardiac Arrest Resuscitation Using Standard Versus Experimental Protocols and Equipment. Issue 6 (December 2018)

• Record Type: Journal Article
• Authors: 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
• Is Part Of: Simulation in healthcare. Volume 13:Issue 6(2018)
• Publication Date: 2018-12
• Subjects: Cardiac arrest -- emergency treatment -- health care quality improvement -- human engineering -- medical devices -- medical emergency team -- occupational injuries -- out-of-hospital cardiac arrest -- patient simulation -- physiological stress -- prehospital -- resuscitation -- simulation -- sudden cardiac death -- workload; Simulated patients -- Periodicals; 362.1
• DOI: 10.1097/SIH.0000000000000339
• Languages: English
• ISSNs: 1559-2332

Abstract

Abstract : Introduction: 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. Methods: 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. Results: 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). Conclusions: 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. Abstract : Supplemental digital content is available in the text.