TY - GEN
T1 - Towards a theoretical model of aggregate fatigue in nursing
AU - Flores, James
AU - Sasangohar, Farzan
N1 - Publisher Copyright:
© 2018 by Human Factors and Ergonomics Society (HFES). All rights reserved.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2018
Y1 - 2018
N2 - Burnout among shiftwork personnel such as nurses are prevalent, and the evidence suggests an increasing trend of nurse drop out in complex healthcare settings. While nurses' acute and chronic fatigue have been studied, current models of fatigue do not capture the pre-chronic phase we refer to as "aggregate fatigue" -the buildup of fatigue and stress exceeding the capacity for physiological and cognitive recovery processes. Understanding aggregate fatigue requires a holistic understanding of a wide range of contributors including sleep, work, non-work-related stress, cognitive load and other psychosocial factors. This paper proposes an integrated model of fatigue in hospital nursing and presents a comparison to the common models of fatigue and burnout. We use a narrative review of literature to ground this multi-attribute model of aggregate fatigue which may shed light on future methods to identify and mitigate fatigue build-up contributing to burnout.
AB - Burnout among shiftwork personnel such as nurses are prevalent, and the evidence suggests an increasing trend of nurse drop out in complex healthcare settings. While nurses' acute and chronic fatigue have been studied, current models of fatigue do not capture the pre-chronic phase we refer to as "aggregate fatigue" -the buildup of fatigue and stress exceeding the capacity for physiological and cognitive recovery processes. Understanding aggregate fatigue requires a holistic understanding of a wide range of contributors including sleep, work, non-work-related stress, cognitive load and other psychosocial factors. This paper proposes an integrated model of fatigue in hospital nursing and presents a comparison to the common models of fatigue and burnout. We use a narrative review of literature to ground this multi-attribute model of aggregate fatigue which may shed light on future methods to identify and mitigate fatigue build-up contributing to burnout.
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M3 - Conference contribution
AN - SCOPUS:85072752758
T3 - Proceedings of the Human Factors and Ergonomics Society
SP - 1679
EP - 1683
BT - 62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018
PB - Human Factors and Ergonomics Society Inc.
T2 - 62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018
Y2 - 1 October 2018 through 5 October 2018
ER -