
Comparative Analysis of Emergency Medical Service Provider Workload During Simulated Out-of-Hospital Cardiac Arrest Resuscitation Using Standard Versus Experimental Protocols and Equipment
Author(s) -
Nicholas Asselin,
Bryan Y. Choi,
Catherine Pettit,
Max Dannecker,
Jason T. Machan,
Derek Merck,
Lisa H. Merck,
Selim Suner,
Kenneth Williams,
Janette Baird,
Gregory D. Jay,
Leo Kobayashi
Publication year - 2018
Publication title -
simulation in healthcare
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.685
H-Index - 49
eISSN - 1559-713X
pISSN - 1559-2332
DOI - 10.1097/sih.0000000000000339
Subject(s) - workload , resuscitation , emergency medical services , cardiopulmonary resuscitation , medicine , univariate analysis , advanced cardiac life support , repeated measures design , medical emergency , emergency medicine , multivariate analysis , computer science , statistics , mathematics , operating system
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.