Aims and objectives: To investigate whether the sleep quality and fatigue of female nurses working rotating shifts could be used to predict future turnover status. Background: Female nurses working rotating shifts often suffer from sleep problems and fatigue, and the turnover rates of nurses are generally higher than those of other hospital personnel. Design: A prospective study. Methods: We recruited a total of 198 female nurses working rotating shifts from December 2017 to March 2019. The nurses completed the Checklist Individual Strength (CIS) scale and wore an actigraph for seven consecutive days in order to collect their sleep parameters. Their turnover status was tracked until 31 May 2021 at which time 55 participants (27.8%) had resigned. The Cox proportional hazard model was used to analyse the factors influencing turnover. In addition, the study adhered to the STROBE checklist. Results: The results revealed significant differences between the nurses in the still-working group and the resigned group in terms of the sleep quality parameters sleep efficiency (SE) and wake after sleep onset (WASO) as well as CIS scores. WASO was significantly correlated with intensity of fatigue, and fatigue was common among all of the nurses working rotating shifts. As time progressed, the sleep quality parameter WASO and CIS scores could be used to predict turnover status after 2.4 years. Conclusion: The results of this study indicated more sleep fragmentation and poor sleep efficiency in the resigned group. Sleep fragmentation was highly correlated with fatigue, and sleep fragmentation and fatigue could be used to predict turnover status. Relevance to clinical practice: We suggest that relevant hospital management pay more attention to the sleep conditions and fatigue of female nurses working rotating shifts when arranging personnel and schedules and offer them more understanding.
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