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Fatigue Risk Management Systems Diagnostic Tool: Validation of an Organizational Assessment Tool for Shift Work Organizations
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 exper...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Occupational Safety and Health Research Institute
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772465/ https://www.ncbi.nlm.nih.gov/pubmed/36579003 http://dx.doi.org/10.1016/j.shaw.2022.08.002 |
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author | Maisey, Gemma Cattani, Marcus Devine, Amanda Dunican, Ian C. |
author_facet | Maisey, Gemma Cattani, Marcus Devine, Amanda Dunican, Ian C. |
author_sort | Maisey, Gemma |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9772465 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Occupational Safety and Health Research Institute |
record_format | MEDLINE/PubMed |
spelling | pubmed-97724652022-12-27 Fatigue Risk Management Systems Diagnostic Tool: Validation of an Organizational Assessment Tool for Shift Work Organizations Maisey, Gemma Cattani, Marcus Devine, Amanda Dunican, Ian C. Saf Health Work Original Article 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. Occupational Safety and Health Research Institute 2022-12 2022-08-13 /pmc/articles/PMC9772465/ /pubmed/36579003 http://dx.doi.org/10.1016/j.shaw.2022.08.002 Text en © 2022 Occupational Safety and Health Research Institute https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Maisey, Gemma Cattani, Marcus Devine, Amanda Dunican, Ian C. Fatigue Risk Management Systems Diagnostic Tool: Validation of an Organizational Assessment Tool for Shift Work Organizations |
title | Fatigue Risk Management Systems Diagnostic Tool: Validation of an Organizational Assessment Tool for Shift Work Organizations |
title_full | Fatigue Risk Management Systems Diagnostic Tool: Validation of an Organizational Assessment Tool for Shift Work Organizations |
title_fullStr | Fatigue Risk Management Systems Diagnostic Tool: Validation of an Organizational Assessment Tool for Shift Work Organizations |
title_full_unstemmed | Fatigue Risk Management Systems Diagnostic Tool: Validation of an Organizational Assessment Tool for Shift Work Organizations |
title_short | Fatigue Risk Management Systems Diagnostic Tool: Validation of an Organizational Assessment Tool for Shift Work Organizations |
title_sort | fatigue risk management systems diagnostic tool: validation of an organizational assessment tool for shift work organizations |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772465/ https://www.ncbi.nlm.nih.gov/pubmed/36579003 http://dx.doi.org/10.1016/j.shaw.2022.08.002 |
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