Predictors of Shift Work Sleep Disorder Among Nurses During the COVID-19 Pandemic: A Multicenter Cross-Sectional Study

Background: Nurses have a high incidence of shift work sleep disorder, which places their health and patient safety in danger. Thus, exploring the factors associated with shift work sleep disorder in nurses is of great significance in improving their sleep health, nursing personnel staffing, and scheduling during the COVID-19 pandemic.Objectives: The purpose of this study was to investigate the incidence of shift work sleep disorder during the COVID-19 pandemic and explore the factors associated with shift work sleep disorder in Chinese nurses.Methods: This was a multicenter cross-sectional study using an online survey. Stratified cluster sampling was used to include 4,275 nurses from 14 hospitals in Shandong, China from December 2020 to June 2021. Stepwise multivariate logistic regression analysis and random forest were used to identify the factors associated with shift work sleep disorder.Results: The prevalence of shift work sleep disorder in the sampled shift nurses was 48.5% during the COVID-19 pandemic. Physical fatigue, psychological stress, shift work more than 6 months per year, busyness during night shift, working more than 40 h per week, working more than four night shifts per month, sleeping more than 8 h before night shift, using sleep medication, irregular meals, and high-intensity physical activity were associated with increased odds of shift work sleep disorder. Good social support, good work-family balance, napping two or three times per week, resting more than one day after shifts, intervals of 8 days or more between shifts, and taking turns to rest during the night shift were associated with decreased odds of shift work sleep disorder.Conclusions: Shift work sleep disorder may be associated with scheduling strategies and personal behavior during the COVID-19 pandemic. To reduce the incidence of shift work sleep disorders in nurses, nursing managers should increase night shift staffing, extend rest days after shift, increase night shift spacing, and reduce overtime, and nurses need to seek more family and social support and control their sleep schedules and diet.

Modafinil in the treatment of selected sleep disorders

Until 2010, modafinil, which is a wakefulness promoting agent, was approved in Europe for a wider spectrum of indications, such as narcolepsy, idiopathic hypersomnia, obstructive sleep apnoea and shift work sleep disorder. Currently, it is registered by the European Medicines Agency only for the treatment of narcolepsy, and is used as an off-label therapy in other sleep disorders. This paper presents the efficacy of modafinil in selected sleep disorders. Modafinil remains first-choice treatment for narcolepsy. It reduces the frequency of bouts of inadvertent sleep and nap episodes, the duration and intensity of daytime hypersomnolence, and also significantly improves the quality of life of patients. However, it is associated with only a slight improvement in cataplexy and other symptoms. In idiopathic hypersomnia, modafinil reduces the frequency of naps and unintentional sleep episodes, as well as subjective sleepiness measured with the Epworth Sleepiness Scale. Furthermore, the drug is used to treat hypersomnia from obstructive sleep apnoea in the case of lack of improvement despite optimal positive airway pressure therapy. Modafinil is also approved by the U.S. Food and Drug Administration for the treatment of shift work sleep disorder. The drug has been shown to reduce the level of somnolence, but it has not been found to reduce unintentional sleep episodes, reported mistakes or accidents at work. Given the strong negative impact of hypersomnolence on performance at work and school, the risk of accidents and the quality of life, the risk-benefit assessment of modafinil often justifies its use in the treatment of hypersomnolence also outside the approved indications.

A scoping review of the evidence for the impact of pharmacological and non-pharmacological interventions on shift work related sleep disturbance in an occupational setting

Background: Shift work is essential in society but can be detrimental to health and quality of life and is associated with decreased productivity and increased risk of accidents. Interventions to reduce these consequences are needed, but the extent and range of trial evidence for interventions for those most affected by their shift-work schedules is unclear. We therefore carried out a scoping review to assess the availability of evidence to inform the development and evaluation of future interventions. Methods: We aimed to identify clinical trials of any intervention for shift work-related sleep disturbance that included a comparator group, where the intervention was delivered in an occupational setting. We searched Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, CINAHL, EMBASE, Medline and Science Citation Index from inception to 30th March 2020 for relevant citations. Citations were screened by two independent reviewers, a third reviewer resolved disagreements. Data were extracted by two independent reviewers. Results: From 1250 unique citations, 14 studies met inclusion criteria for comparative trials of treatment in an occupational setting. There were five trials of hypnotics, five trials of stimulants, and four trials of non-pharmacological therapies (cognitive behavioural therapy, light therapy, aromatherapy and herbal medicine). Outcomes included sleep parameters, day-time sleepiness, and quality of life. There were no consistently reported outcomes across trials. Conclusions: Interventions fell into three distinct groups investigated in distinct time periods without progression from efficacy trials to wider-scale interventions. The lack of consistent patient-reported outcome measures limits synthesising findings. Some trials focussed on optimising sleep, others on reducing wake-time sleepiness. Adequately powered trials of existing interventions are needed, with the development and testing of novel combination treatments in patients with well-defined shift work sleep disorder. A core set of clinically relevant outcomes will develop and standardise the evidence-base for shift work sleep disorder.

Internet-based Individualized Cognitive Behavioral Therapy for Shift Work Sleep Disorder (Empowered by Wellbeing Prediction): A Pilot Study Protocol (Preprint)

BACKGROUND Shift work sleep disorders (SWSDs) are associated with the high turnover rates of nurses, and are considered a major medical safety issue. However, initial management can be hampered by insufficient awareness. In recent years, it has become possible to visualize, collect and analyze the work-life balance of healthcare workers with irregular sleeping and working habits by using wearable sensors that can continuously monitor biometric data under real life settings. In addition, internet-based cognitive behavioral therapy for psychiatric disorders has been shown to be effective. Application of wearable sensors and machine learning may potentially enhance the beneficial effects of internet-based cognitive behavioral therapy. OBJECTIVE In this study, we aim to develop and evaluate the effect of a new Internet-based cognitive behavioral therapy for shift work sleep disorder (iCBTS). This system includes current methods, such as medical sleep advice, as well as machine learning wellbeing prediction to improve sleep durations of shift workers and prevent declines in their wellbeing. METHODS This study consists of two phases: (1) preliminary data collection and machine learning for wellbeing prediction; (2) intervention and evaluation of iCBTS for shift work sleep disorder. Shift workers in the ICU at Mie University will wear a wearable sensor that collects biometric data and answer daily questionnaires regarding their wellbeing. Next, they will be provided with an iCBTS app for 4 weeks. Sleep and wellbeing measurements between baseline and the intervention period will then be compared. RESULTS Recruitment for phase 1 ended in October 2019. Recruitment for phase 2 is scheduled to start in October 2020. Preliminary results are expected to be available by summer 2021. CONCLUSIONS iCBTS empowered with wellbeing prediction is expected to improve the sleep durations of shift workers, thereby enhancing their overall well-being. Findings of this study will reveal the potential of this system for improving sleep disorders among shift workers. CLINICALTRIAL UMIN clinical trials registry (phase 1: UMIN 000036122, phase 2: UMIN000040547)