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Association between sleep quality and nurse productivity among Korean clinical nurses.
Journal of Nursing Management 2018 June 2
AIMS: To determine the association between sleep quality and nurse productivity.
BACKGROUND: Although poor sleep quality may decrease nurses' productivity, the association between the two has not yet been evaluated in the literature.
METHODS: A cross-sectional survey was completed in May 2014 by 188 nurses working in acute hospitals in South Korea using the Pittsburgh Sleep Quality Index. Descriptive statistics, t tests, ANOVA, Pearson's correlation, and stepwise multiple regression were conducted for data analysis.
RESULTS: The prevalence of poor sleep quality was high (79.8%). Among the components of sleep quality, sleep disturbances (β = -0.19) and subjective sleep quality (β = -0.16) were determined to be statistically significant predictive factors of nurse productivity, in addition to shift work (β = -0.20) and age (β = 0.32).
CONCLUSION: Poor sleep quality may lead to lower nurse productivity.
IMPLICATIONS FOR NURSING MANAGEMENT: Nurse leaders and executives should consider measures to improve nurses' sleep quality and enhance nurse productivity. Steps that need to be considered include longer intervals between shift-work cycles, clockwise scheduling order, a longer break time after night shift work, allowing nurses to nap before / during a night shift, and providing a worksite healthy sleep programme.
BACKGROUND: Although poor sleep quality may decrease nurses' productivity, the association between the two has not yet been evaluated in the literature.
METHODS: A cross-sectional survey was completed in May 2014 by 188 nurses working in acute hospitals in South Korea using the Pittsburgh Sleep Quality Index. Descriptive statistics, t tests, ANOVA, Pearson's correlation, and stepwise multiple regression were conducted for data analysis.
RESULTS: The prevalence of poor sleep quality was high (79.8%). Among the components of sleep quality, sleep disturbances (β = -0.19) and subjective sleep quality (β = -0.16) were determined to be statistically significant predictive factors of nurse productivity, in addition to shift work (β = -0.20) and age (β = 0.32).
CONCLUSION: Poor sleep quality may lead to lower nurse productivity.
IMPLICATIONS FOR NURSING MANAGEMENT: Nurse leaders and executives should consider measures to improve nurses' sleep quality and enhance nurse productivity. Steps that need to be considered include longer intervals between shift-work cycles, clockwise scheduling order, a longer break time after night shift work, allowing nurses to nap before / during a night shift, and providing a worksite healthy sleep programme.
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