Eunok Park1, Hyo Young Lee2, Claire Su-Yeon Park3. 1. College of Nursing, Jeju National University, Jeju, Korea. 2. Department of Health Administration, Dongseo University, Busan, Korea. 3. Center for Econometric Optimization in the Nursing Workforce, Seoul, Korea.
Abstract
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.
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.