Knar Sagherian

Aims: To identify latent profiles of insomnia, fatigue, recovery, psychological distress and burnout among hospital nurses; examine variations in personal and work‐related characteristics across profiles; investigate associations between profiles and outcomes such as patient care quality, nursing work satisfaction and workplace satisfaction; and assess the moderating role of organisational support on these relationships. Design: A cross‐sectional descriptive study. Methods: This study analysed survey data from 2488 hospital nurses using latent profile analysis, multinomial logistic regression and hierarchical multiple linear regression. Results: Four well‐being profiles emerged: low, average, above‐average and high well‐being. Profiles differed significantly in personal and work‐related characteristics. Nurses in the high well‐being profile were associated with better patient safety, care quality and satisfaction. Organisational support moderated the negative associations between low well‐being profiles and nursing work and workplace satisfaction. Conclusion: Tailored interventions addressing factors associated with low well‐being and enhancing organisational support may be beneficial for improving nurse well‐being, delivering high‐quality care and supporting nurse retention in sustainable healthcare environments. Implications: Healthcare organisations should prioritise nurse well‐being through targeted interventions, adequate staffing, recovery opportunities and stress management resources to support a resilient and sustainable workforce. Impact: The findings revealed the diversity of well‐being patterns among hospital nurses and provided insights for identifying subgroups at higher risk of impaired patient safety, reduced care quality and dissatisfaction with nursing work and the workplace. Greater organisational support was associated with weaker negative relationships between poor well‐being and nurse outcomes. Reporting Method: STROBE guidelines. Patient or Public Contribution: No direct patient or public contribution.

Aims: To examine the relationship between fatigue and sickness absence in nurses from a paediatric hospital over 12 months of follow‐up. A secondary aim was to identify other work and personal factors that predict sickness absence.Background: Sickness absence is often related to worker‐fatigue, yet few studies have explored this relationship in nurses despite documented high fatigue levels.Design: The study used retrospective cohort design.Methods: Baseline data on 40 nurses from an intervention study were linked to absence data using the hospital's attendance records (2012–2013). A total of 6,057 work shifts were studied of which 5.2% were absence episodes. Fatigue was measured by the Occupational Fatigue Exhaustion Recovery scale. The questionnaire included instruments assessing sleep disturbances, workload and personal characteristics. Generalized linear mixed models were used to test the associations between fatigue, work, personal factors and sickness absence, while accounting for non‐independency of repeated measures.Results: With 1SD increase in acute fatigue scores, nurses were 1.29 times more likely to be absent from work. Factors such as intershift recovery, perceived workload, obstructive sleep apnoea and marital status also predicted sickness absence, that is, with 1SD increase in workload scores, nurses were 1.23 times more likely to be absent from work. Nurses with obstructive sleep apnoea had two times higher odds of sickness absence.Conclusion: Sickness absence is related to acute fatigue in paediatric nurses and to workload. Nursing leaders can monitor these factors to reduce sickness absence and screen for sleep apnoea and assist nurses in receiving the appropriate treatments.

Hospital nurses are expected to maintain optimal work performance; yet, fatigue can threaten safe practice and result in unfavorable patient outcomes. This descriptive cross-sectional study explored the association between fatigue, work schedules, and perceived work performance among nurses. The study sample included 77 bedside nurses who were mostly female, single, and between 20 and 29 years of age. The majority worked 8-hour shifts and overtime. Nurses who worked during off days reported significantly higher chronic fatigue compared with those nurses who took time off. Nurses who reported feeling refreshed after sleep had significantly less chronic and acute fatigue and more intershift recovery. Nurses with acute and chronic fatigue perceived poorer physical performance. Also, nurses who reported chronic fatigue perceived they were less alert and less able to concentrate when providing patient care. Less effective communication was also associated with acute and chronic fatigue. In conclusion, fatigue has safety implications for nurses’ practice that should be monitored by nursing management.

Background: Occupational fatigue is commonly reported in shift-working populations. In the literature, there are several well-known fatigue measures that are regularly used to assess either general or specific aspects of employee fatigue. Purpose: The purpose of this paper was to provide an in-depth review of five fatigue instruments frequently used in occupational science over the past two decades. These instruments are: the Checklist Individual Strength, the Fatigue Assessment Scale, the Need for Recovery, the Occupational Fatigue Exhaustion Recovery, and the Swedish Occupational Fatigue Inventory scales. We describe each instrument in detail, including how it was developed and validated, how it can be obtained, psychometric data, and its use in occupational studies. Conclusion: These instruments provide an understanding of fatigue either as a unidimensional or multidimensional construct. Overall, the five measures are brief (10–20 items), user-friendly, and have minimal respondent and administrative burden. They are reliable and valid based on the psychometric studies in the working population. Each measure has the potential to be utilized as a surveillance tool in monitoring employee fatigue and ensuring workplace safety. Selecting one or combination of these measures depends on the researcher's conceptual and operational definitions of fatigue, and the study objectives.