Risk reclassification analysis investigating the added value of fatigue to sickness absence predictions

Occupational Fatigue and Associated Factors among Saudi Nurses Working 8-Hour Shifts at Public Hospitals

Introduction

Shift work and demanding work schedules contribute to occupational fatigue, negatively affecting patient safety and nurses’ well-being, consequently placing nurses and patients at risk for injury and adverse health outcomes. For preventing fatigue and minimizing its negative consequences, information about its characteristics and associated factors is required.

Objectives

This study aimed to assess occupational fatigue “acute fatigue, chronic fatigue, and inter-shift recovery” among Saudi nurses working 8-h shifts. Further, we explored factors associated with fatigue from nurses’ perspectives.

Methods

We conducted a mixed-method study with a convenience sample of Saudi nurses (N = 282) working in four public hospitals in Saudi Arabia. Data were collected using the nurses’ profile form; the occupational fatigue exhaustion recovery (OFER) scale, for relevant quantitative data; and open-ended questions for qualitative data. We used descriptive and inferential statistics for analysing the quantitative data and content analysis of the qualitative data.

Results

The results showed that Saudi nurses rated themselves moderately fatigued with working 8-h shifts. The inter-shift recovery subscale showed a negative correlation with chronic fatigue and acute fatigue (r = −0.518, r = −0.356, P < 0.001). Sleeping problems, meals per day, and frequency of exercise showed significant relations with chronic fatigue among nurses (p < 0.05). In addition, three categories were derived from the qualitative content analysis. Saudi nurses reported work-related, psychosocial, and individual factors as major contributors to fatigue and recovery.

Conclusion

Occupational fatigue is a multidimensional issue, and nurses and nurse managers are challenged with reducing its prevalence and negative impact on nurses and patients. Our quantitative and qualitative findings suggest the need for a comprehensive approach to fatigue management and mitigation, including organizational support, creative workforce planning, flexible work schedules, and psychosocial support. Fatigue reduction and prevention policies and educational programs are vital strategies to improve nurses’ well-being and inter-shift recovery.

External validation of the NeuroImaging Radiological Interpretation System and Helsinki computed tomography score for mortality prediction in patients with traumatic brain injury treated in the intensive care unit: a Finnish intensive care consortium study

BACKGROUND

Admission computed tomography (CT) scoring systems can be used to objectively quantify the severity of traumatic brain injury (TBI) and aid in outcome prediction. We aimed to externally validate the NeuroImaging Radiological Interpretation System (NIRIS) and the Helsinki CT score. In addition, we compared the prognostic performance of the NIRIS and the Helsinki CT score to the Marshall CT classification and to a clinical model.

METHODS

We conducted a retrospective multicenter observational study using the Finnish Intensive Care Consortium database. We included adult TBI patients admitted in four university hospital ICUs during 2003-2013. We analyzed the CT scans using the NIRIS and the Helsinki CT score and compared the results to 6-month mortality as the primary outcome. In addition, we created a clinical model (age, Glasgow Coma Scale score, Simplified Acute Physiology Score II, presence of severe comorbidity) and combined clinical and CT models to see the added predictive impact of radiological data to conventional clinical information. We measured model performance using area under curve (AUC), Nagelkerke's R² statistics, and the integrated discrimination improvement (IDI).

RESULTS

A total of 3031 patients were included in the analysis. The 6-month mortality was 710 patients (23.4%). Of the CT models, the Helsinki CT displayed best discrimination (AUC 0.73 vs. 0.70 for NIRIS) and explanatory variation (Nagelkerke's R² 0.20 vs. 0.15). The clinical model displayed an AUC of 0.86 (95% CI 0.84-0.87). All CT models increased the AUC of the clinical model by + 0.01 to 0.87 (95% CI 0.85-0.88) and the IDI by 0.01-0.03.

CONCLUSION

In patients with TBI treated in the ICU, the Helsinki CT score outperformed the NIRIS for 6-month mortality prediction. In isolation, CT models offered only moderate accuracy for outcome prediction and clinical variables outweighing the CT-based predictors in terms of predictive performance.

Occupational fatigue and work absenteeism in female assistant nurses of a high-complexity hospital, Chile

This research examined the association between occupational fatigue and work absenteeism in 110 female assistant nurses of a high-complexity hospital in Chile. A sociodemographic questionnaire and the Checklist Individual Strength (CIS) scale were used. The results showed that the predominant absenteeism range was 11-29 days. The highest means of fatigue occurred in those with seniority above 2 years, with more than 10 patients in charge and an annual contract. No significant difference was observed between the fatigue means concerning absenteeism, but a significant association was observed between physical fatigue (p = 0.040, OR = 1.054) and service seniority (p = 0.001, OR = 1.084) with work absenteeism. Finally, we can conclude that physical fatigue and seniority in the clinical service are significant risk factors for the occurrence of absenteeism.