Identifying and validating perceived workload metrics for emergency medical services

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Authors
Ercolani, Jenna
Cure, Laila
Misasi, Paul
Advisors
Issue Date
2024
Type
Article
Keywords
Emergency services , Crew members , Emergency medical services , Load index , Logistics regressions , NASA-task load index , Workload , NASA
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Organizational Units
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Citation
Ercolani, J., Cure, L., Misasi, P. Identifying and validating perceived workload metrics for emergency medical services. (2024). Applied Ergonomics, 118, art. no. 104270. DOI: 10.1016/j.apergo.2024.104270
Abstract

The most common workload surrogates used by Emergency Medical Services (EMS)--overall call volume (CV) and unit hour utilization (UHU)--have not been validated. This study investigates the relationship between EMS operational metrics and perceived workload, measured through the NASA task load index (TLX) survey. We paired crew member survey responses with the operational metrics based on dispatch data. Linear regression was used to evaluate the influence of each metric on perceived workload. Logistic regression was used to identify values of workload indicating a fair day's work. We found that the overall CV (p < 0.001, =0.32) and UHU (p < 0.001, =0.22) explained less variability in perceived workload than a priority (P)-stratified CV (p < 0.001, =0.41). However, we found no clear fair day's workload threshold. We conclude that a priority-stratified CV is a better workload surrogate than a CV and UHU. © 2024 Elsevier Ltd

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Description
Publisher
Elsevier Ltd
Journal
Applied Ergonomics
Book Title
Series
PubMed ID
ISSN
0036-870
EISSN