Document Detail


Sleep and errors in a group of Australian hospital nurses at work and during the commute.
MedLine Citation:
PMID:  18395183     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
There is a paucity of information regarding Australian nurses' sleep and fatigue levels, and whether they result in impairment. Forty-one Australian hospital nurses completed daily logbooks for one month recording work hours, sleep, sleepiness, stress, errors, near errors and observed errors (made by others). Nurses reported exhaustion, stress and struggling to remain (STR) awake at work during one in three shifts. Sleep was significantly reduced on workdays in general, and workdays when an error was reported relative to days off. The primary predictor of error was STR, followed by stress. The primary predictor of extreme drowsiness during the commute was also STR awake, followed by exhaustion, and consecutive shifts. In turn, STR awake was predicted by exhaustion, prior sleep and shift length. Findings highlight the need for further attention to these issues to optimise the safety of nurses and patients in our hospitals, and the community at large on our roads.
Authors:
Jillian Dorrian; Carolyn Tolley; Nicole Lamond; Cameron van den Heuvel; Jan Pincombe; Ann E Rogers; Dawson Drew
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Publication Detail:
Type:  Journal Article     Date:  2008-04-18
Journal Detail:
Title:  Applied ergonomics     Volume:  39     ISSN:  0003-6870     ISO Abbreviation:  Appl Ergon     Publication Date:  2008 Sep 
Date Detail:
Created Date:  2008-05-19     Completed Date:  2008-10-30     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0261412     Medline TA:  Appl Ergon     Country:  England    
Other Details:
Languages:  eng     Pagination:  605-13     Citation Subset:  IM    
Affiliation:
The School of Psychology and The Centre for Sleep Research, The University of South Australia, 7th Floor Playford Building (P7-35), City East Campus, Frome Rd., Adelaide, SA 5000, Australia. jill.dorrian@unisa.edu.au <jill.dorrian@unisa.edu.au>
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MeSH Terms
Descriptor/Qualifier:
Adult
Australia
Automobile Driving / statistics & numerical data*
Fatigue / epidemiology
Female
Humans
Male
Medical Errors / statistics & numerical data*
Middle Aged
Nurses*
Nursing Staff, Hospital*
Pilot Projects
Professional Impairment
Questionnaires
Risk Factors
Safety*
Sleep Disorders, Circadian Rhythm / complications,  epidemiology*
Sleep Stages
Stress, Psychological
Wakefulness*
Work Schedule Tolerance / physiology*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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