TY - JOUR
T1 - How effective are Fatigue Risk Management Systems (FRMS)? A review
AU - Sprajcer, Madeline
AU - Thomas, Matthew J.W.
AU - Sargent, Charli
AU - Crowther, Meagan E.
AU - Boivin, Diane B.
AU - Wong, Imelda S.
AU - Smiley, Alison
AU - Dawson, Drew
N1 - Funding Information:
This research is supported with funds from the WorkSafeBC research program (RS2018-SP05 Dawson). The views, findings, opinions and conclusions expressed herein do not represent the views of WorkSafeBC. The findings and conclusions in this report are those of the author(s) and do not necessarily represent the official position of the National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention.
Publisher Copyright:
© 2021 The Authors
PY - 2022/2
Y1 - 2022/2
N2 - Objective: Fatigue Risk Management Systems (FRMS) are a data-driven set of management practices for identifying and managing fatigue-related safety risks. This approach also considers sleep and work time, and is based on ongoing risk assessment and monitoring. This narrative review addresses the effectiveness of FRMS, as well as barriers and enablers in the implementation of FRMS. Furthermore, this review draws on the literature to provide evidence-based policy guidance regarding FRMS implementation. Methods: Seven databases were drawn on to identify relevant peer-reviewed literature. Relevant grey literature was also reviewed based on the authors’ experience in the area. In total, 2129 records were screened based on the search strategy, with 231 included in the final review. Results: Few studies provide an evidence-base for the effectiveness of FRMS as a whole. However, FRMS components (e.g., bio-mathematical models, self-report measures, performance monitoring) have improved key safety and fatigue metrics. This suggests FRMS as a whole are likely to have positive safety outcomes. Key enablers of successful implementation of FRMS include organisational and worker commitment, workplace culture, and training. Conclusions: While FRMS are likely to be effective, in organisations where safety cultures are insufficiently mature and resources are less available, these systems may be challenging to implement successfully. We propose regulatory bodies consider a hybrid model of FRMS, where organisations could choose to align with tight hours of work (compliance) controls. Alternatively, where organisational flexibility is desired, a risk-based approach to fatigue management could be implemented.
AB - Objective: Fatigue Risk Management Systems (FRMS) are a data-driven set of management practices for identifying and managing fatigue-related safety risks. This approach also considers sleep and work time, and is based on ongoing risk assessment and monitoring. This narrative review addresses the effectiveness of FRMS, as well as barriers and enablers in the implementation of FRMS. Furthermore, this review draws on the literature to provide evidence-based policy guidance regarding FRMS implementation. Methods: Seven databases were drawn on to identify relevant peer-reviewed literature. Relevant grey literature was also reviewed based on the authors’ experience in the area. In total, 2129 records were screened based on the search strategy, with 231 included in the final review. Results: Few studies provide an evidence-base for the effectiveness of FRMS as a whole. However, FRMS components (e.g., bio-mathematical models, self-report measures, performance monitoring) have improved key safety and fatigue metrics. This suggests FRMS as a whole are likely to have positive safety outcomes. Key enablers of successful implementation of FRMS include organisational and worker commitment, workplace culture, and training. Conclusions: While FRMS are likely to be effective, in organisations where safety cultures are insufficiently mature and resources are less available, these systems may be challenging to implement successfully. We propose regulatory bodies consider a hybrid model of FRMS, where organisations could choose to align with tight hours of work (compliance) controls. Alternatively, where organisational flexibility is desired, a risk-based approach to fatigue management could be implemented.
KW - Fatigue
KW - Fatigue risk management systems
KW - FRMS
KW - Risk
KW - Safety
KW - Sleep
UR - https://www.scopus.com/pages/publications/85118344210
U2 - 10.1016/j.aap.2021.106398
DO - 10.1016/j.aap.2021.106398
M3 - Article
C2 - 34756484
AN - SCOPUS:85118344210
SN - 0001-4575
VL - 165
JO - Accident Analysis and Prevention
JF - Accident Analysis and Prevention
M1 - 106398
ER -