Overtime and alertness of rotating‐shift nurses: An observational study using ecological momentary assessment

AIMS AND OBJECTIVES: This study aimed to determine the effect of overtime on alertness at work among rotating-shift nurses in South Korea and to investigate whether these effects of overtime vary across the different types of shifts. BACKGROUND: Nurse overtime is prevalent in healthcare settings to manage nursing shortages and staffing needs; however, it negatively affects patient and nurse outcomes. Furthermore, little attention has been paid to the effects of previous overtime shifts and overtime for consecutive shifts on alertness during work. DESIGN: A prospective observational study was employed. The study followed STROBE checklist for observational studies. METHODS: Data were collected between June 2019 and February 2020 from 82 nurses who worked in acute care hospitals. An ecological momentary assessment was used to capture real-time data of overtime and alertness. Alertness scores were estimated using the sleep/wake data measured by an actigraph. Mixed-effect models were employed to investigate the association between overtime and alertness. RESULTS: A majority of the shift nurses worked overtime. Episodes of a decline in alertness scores to the level of increased accident or serious error risk (alertness score ≤80) were most frequently seen during night shifts (98.9%), followed by day (59.8%) and evening shifts (10.1%). Previous-day overtime hours and consecutive overtime days were associated with decreased alertness scores during work. A significantly positive correlation was observed between alertness scores ≤80 and previous-day overtime hours and consecutive overtime days in all shifts. CONCLUSIONS: The study findings indicate that a majority of nurses who work overtime experience decreased alertness while on duty. RELEVANCE TO CLINICAL PRACTICE: Policy development at the government, organisational and unit level is needed to guarantee adequate rest for shift nurses by adjusting work schedules and assignments and limiting overtime.