Development of the Fatigue Risk Assessment and Management in High-Risk Environments (FRAME) Survey: A Participatory Approach
Ashley E. Shortz,
Ranjana K. Mehta,
S. Camille Peres,
Mark E. Benden and
Qi Zheng
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Ashley E. Shortz: Department of Environmental and Occupational Health, Texas A&M University, College Station, TX 77843, USA
Ranjana K. Mehta: Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX 77843, USA
S. Camille Peres: Department of Environmental and Occupational Health, Texas A&M University, College Station, TX 77843, USA
Mark E. Benden: Department of Environmental and Occupational Health, Texas A&M University, College Station, TX 77843, USA
Qi Zheng: Department of Epidemiology and Biostatistics, Texas A&M University, College Station, TX 77843, USA
IJERPH, 2019, vol. 16, issue 4, 1-13
Abstract:
Existing risk assessment tools are not effective or sustainable in identifying Oil and Gas Extraction (OGE) workers at high risk of fatigue-related injuries or incidents. We developed a comprehensive Fatigue Risk Assessment and Management in high-risk Environments (FRAME) survey through an industry-academic participatory approach. The FRAME survey was developed through: (1) systematic gathering of existing fatigue scales; (2) refining the inventory using the Delphi Consensus technique; and (3) further refinement through employee/worker focus groups. The participatory approach resulted in a final FRAME survey across four fatigue dimensions—sleep, shiftwork, physical, and mental fatigue, and was composed of 26 items. The FRAME survey was founded on occupational fatigue science and refined and tailored to the OGE industry, through rigorous industry stakeholder input, for safer, effective, practical, and sustainable fatigue assessment and management efforts.
Keywords: oil and gas; overexertion; sleep; shift; workload; questionnaire (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:16:y:2019:i:4:p:522-:d:205333
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