Multidimensional Rasch Analysis of the Arabic Occupational Fatigue Exhaustion Recovery Subscales

The measurement of fatigue in clinicians within hospital settings: A systematic review of measurement properties

Medical staff fatigue leads to accidents and mistakes and puts patient safety at risk. A measure of fatigue in the workplace may help to quantify, predict, and manage fatigue. This review aimed to evaluate instruments used to measure fatigue in medical staff within hospitals. A systematic review following the JBI methodology was undertaken. A search for articles was conducted in 2021. Included articles (all validation studies) were assessed for methodological quality using the COSMIN checklist. Measurement property data was evaluated for Quality of Evidence using GRADE methodology. Ten studies representing five instruments were reviewed: Occupational Fatigue Exertion and Recovery scale (now superseded); Occupational Fatigue Exertion and Recovery scale (15-item); Multidimensional Fatigue Inventory; Need for Recovery Scale; and the Swedish Occupational Fatigue Inventory. Four instruments show promise for measuring fatigue in hospital medical staff, however, there is limited certainty in the measure property estimates. The Quality of Evidence for measurement properties for all instruments is insufficient. Further validation studies following the COSMIN standards are needed before recommendations for use can be made.

Psychometric properties of the Portuguese version of the occupational fatigue exhaustion/recovery (OFER) scale among industrial shift workers

Reliable and valid instruments are essential for understanding fatigue in occupational settings. This study analyzed the psychometric properties of the Portuguese version of the Occupational Fatigue Exhaustion/Recovery (OFER). A cross-sectional study was conducted with 260 workers (M = 46.52 ± 13.16 years) from a textile industry, exposed to shift work. Convergent and discriminant validity, internal consistency reliability and exploratory and confirmatory factor analysis were performed. Results showed an adequate fit to data (χ² (84) = 209,102, CFI = 0.936, GFI = 0.902, RMSEA = 0.076 CI90% (0.063-0.089)), yielding a 13-item, three factor structure. Two items were removed due to low factor loading. The OFER presented an adequate internal consistency, with the subscales presenting good reliability values (Chronic Fatigue (α = 0.81), Acute Fatigue (α = 0.84) and Recovery between Shifts (α = 0.77)). Findings suggest that the Portuguese version of OFER can be a useful tool to assess occupational fatigue of shift workers and prevent work related injuries.