Absence and Need for Fatigue Risk Management in Emergency Medical Services

Patterson, P. Daniel; Martin-Gill, Christian · 2018 · ROSA P / Taylor & Francis

archive: archived pipeline: cataloged verified

Get this paper ↗ (full text — opens at the source; we link to it, we don't host it)

Summary

This paper addresses the critical lack of standardized fatigue risk management guidelines within the Emergency Medical Services (EMS) sector. The research was motivated by the widespread prevalence of fatigue among EMS personnel, which poses significant threats to patient safety, personnel well-being, and public safety. Evidence cited in the text indicates that more than half of EMS workers report mental and physical fatigue while on duty, half experience poor sleep quality or obtain less than six hours of sleep per day, and over one-third report excessive daytime sleepiness. These conditions are linked to rising reports of negative outcomes, including ambulance crashes, personnel injuries, and patient deaths. In response to these concerns, the National EMS Advisory Council recommended the development of evidence-based information to aid in creating fatigue risk management programs, leading to a funding opportunity from the National Highway Traffic Safety Administration (NHTSA). The study described represents the completion of Phase 1 of a three-phase project awarded to the National Association of State EMS Officials and academic partners led by the University of Pittsburgh. The primary objective was to develop evidence-based guidelines (EBGs) for mitigating fatigue in the EMS workplace. Due to the limited body of research specifically focused on EMS personnel, the investigators conducted seven systematic reviews, including three meta-analyses, that assessed research involving shift workers across diverse settings. This approach allowed the team to review more than 38,000 records, including journal articles, book chapters, and conference abstracts. The guideline development process utilized the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology, marking the first application of this rigorous scientific process to operational questions for first responders. The resulting supplement includes the systematic reviews, a methodological paper, two documents describing EBGs for fatigue mitigation, and suggested measures for evaluating the adoption of these recommendations. The main findings of this effort are the creation of comprehensive, evidence-based guidelines designed to guide local and state-level managers in creating, modifying, and executing fatigue mitigation programs. The authors emphasize that while shift work and the associated biological conflict with human circadian rhythms cannot be eliminated, fatigue can be effectively managed. The project produced a substantial collection of research documents that provide a scientific foundation for operational decisions, moving beyond anecdotal evidence to systematic review-based protocols. The guidelines are intended to help EMS organizations address the ubiquitous problem of fatigue by informing policies and standard operating procedures with the best available evidence. The significance of this work lies in its contribution to the scientific and operational communities of EMS. It establishes a novel framework for addressing operational safety issues using the same robust evidence-based methods traditionally reserved for clinical questions. By leveraging the GRADE methodology and integrating evidence from broader shift work literature, the project provides a scalable model for improving the quality and safety of EMS systems. The authors conclude that these guidelines represent a critical step forward in managing the ongoing battle between the operational demands of 24/7 readiness and the natural biology of human sleep, ultimately aiming to reduce fatigue-related adverse events in the prehospital care environment.

Key finding

null

Methodology

review

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (45 acquisition events logged).

Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

• truck driver fatigue