Effect of physical exercise on young anesthesiologists with on-call-related fatigue

Emotional labor, fatigue, and presenteeism in Chinese nurses: the role of organizational identification

BACKGROUND

Presenteeism has become a significant issue related to health. However, the effect of fatigue and organizational identification on the relationship between emotional labor and presenteeism among Chinese nurses remains unclear. This study aims to explore the correlation of Chinese nurses' emotional labor, fatigue and organizational identification with presenteeism, and to analyze the mediating effect of fatigue and the moderating effect of organizational identification on the relationship between emotional labor and presenteeism.

METHODS

A cross-sectional study was performed from June to October 2022 in Changchun City, Jilin Province, China. In total, 1,630 nurses were asked to complete a range of self-administered questionnaires, including the Emotional Labor Scale, the Fatigue Scale, the Organizational Identification Scale and the Stanford Presenteeism Scale. Besides, the PROCESS macro and multiple linear regression were used for moderated mediation analysis.

RESULTS

Emotional labor (r = 0.108, P < 0.001) and fatigue (r = 0.475, P < 0.001) were positively correlated with presenteeism, while organizational identification (r = -0.261, P < 0.001) was negatively correlated with presenteeism. The effect of emotional labor on presenteeism was partially mediated by fatigue (Effect = 0.014, 95% CI = [0.007, 0.021]). Additionally, the relationship between emotional labor and fatigue was moderated by organizational identification (P = 0.018 for the interaction term).

CONCLUSIONS

Fatigue and organizational identification have mediating and moderating effects on the relationship between emotional labor and presenteeism, respectively. Targeted support measures should be taken to improve the presenteeism of nurses. Nursing managers can relieve the psychological pressure and fatigue of nurses by establishing emotional release channels, and improve the presenteeism of nurses through enhancing organizational identification.

Occupation-Induced Fatigue and Impacts on Emergency First Responders: A Systematic Review

Fatigue in emergency first responders (EFRs) is known to affect performance abilities and safety outcomes for both patients and EFRs. The primary aim of this review was to determine the main contributors to occupation-induced fatigue in EFRs and its subsequent impacts. Following the PRIMSA checklist, academic databases (Medline, Embase, CINAHL, and SPORTDiscus) were searched using key terms with results subjected to inclusion and exclusion criteria. Populations of interest were firefighters, paramedics, or emergency call centre personnel. Of the 5633 records identified, 43 studies, which reported on 186 unique measures from a total population of 6373 participants, informed the review. Synthesis revealed fatigue was caused by lack of sleep during the shift and consistent poor sleep quality which negatively impacted cognitive function, alertness, and physical and mental health while increasing safety-compromising behaviours and injuries. Both subjective and objective assessments of fatigue are necessary for effective risk management in EFRs. EFRs that are consistently fatigued are at a greater risk of poor physical and mental health, reduced cognitive function, and increased injuries. No studies reported on fatigue in emergency call centre personnel, highlighting a literature gap. Funding was provided by the Australian Capital Territory Emergency Services Agency. Preregistration was filed in OSF: osf.io/26f3s.

Anesthesia in the modern world of apps and technology: Implications and impact on wellness

Recent decades have seen an unprecedented leap in digital innovation, with far-reaching implications in healthcare. Anesthesiologists have historically championed the adoption of new technologies. However, the rapid evolution of these technologies has outpaced attempts at studying their potential impact on healthcare providers' well-being. This document introduces several categories of workplace technologies commonly encountered by the anesthesiologist. We examine examples of novel technology and the impact of these digital interventions on the anesthesiologist's well-being. We also review popular personalized technology aimed at improving wellness and the impact on well-being examined. Finally, technology acceptance models are introduced to improve technology adoption, which, when appropriately applied, may minimize the negative impacts of technology on anesthesiologists' well-being. Incorporating quantitative, serial assessments of well-being as part of technology implementation are proposed as a future direction for examining the wellness impact of technology on anesthesiologists.