Abstract

Background: This study aimed to determine and define the elements of an Fatigue Risk Management System (FRMS) diagnostic tool to assist an organization in systematically assessing its level of implementation of an FRMS. Methods: A modified Delphi process was used involving 16 participants with expertise in sleep science, chronobiology, and fatigue risk management within occupational settings. The study was undertaken in two stages 1) review of elements and definitions; 2) review of statements for each element. Each stage involved an iterative process, and a consensus rule of ≥ 60 % was applied to arrive at a final list of elements, definitions, and statements. Results: Stage 1: a review of elements (n = 12) and definitions resulted in a final list of 14 elements and definitions with a consensus of ≥ 60 % achieved after 2 Delphi rounds. Stage 2: a review of statements (n = 131) resulted in a final list of 119 statements with a consensus of ≥ 60 % achieved after 2 Delphi rounds. Conclusion: The final FRMS diagnostic tool will enable an organization to systematically assess the level of implementation of their current FRMS and identify gaps and opportunities to reduce risk.

RAS ID

45396

Document Type

Journal Article

Date of Publication

12-1-2022

Volume

13

Issue

4

Funding Information

Australian Government Research Training Program (G.Maisey) / Edith Cowan University Melius Consulting Industry Engagement Scholarship (G.Maisey)

School

School of Medical and Health Sciences

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Publisher

Elsevier

Comments

Maisey, G., Cattani, M., Devine, A., & Dunican, I. C. (2022). Fatigue Risk Management Systems diagnostic tool: Validation of an organizational assessment tool for shift work organizations. Safety and Health at Work, 13(4), 408-414. https://doi.org/10.1016/j.shaw.2022.08.002

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Link to publisher version (DOI)

10.1016/j.shaw.2022.08.002