Calibrating Fatigue Scales in Autoimmune Trials Across Multicenter Autoimmune Patient Cohorts
DOI:
https://doi.org/10.66238/m2ytw431Keywords:
Patient-reported outcomes, Fatigue scales, Autoimmune diseases, CalibrationAbstract
The accurate measurement of fatigue in multicenter autoimmune disease trials is a critical challenge due to the subjective nature of the symptom and the diverse cultural backgrounds of trial participants. Patient-reported outcomes have become central to evaluating therapeutic efficacy in conditions such as rheumatoid arthritis, systemic lupus erythematosus, and multiple sclerosis. However, the utilization of standard fatigue scales across multinational cohorts frequently introduces measurement variance, particularly differential item functioning, where demographic and linguistic differences distort symptom reporting. This paper presents a comprehensive analysis of the methodological frameworks required for the psychometric calibration of patient-reported fatigue scales. Transitioning from classical test theory to modern approaches based on Item Response Theory and Rasch measurement, we detail the procedures necessary to establish measurement equivalence across diverse geographic centers. Through simulated trial data, we demonstrate how uncalibrated ordinal scores obscure true treatment effects and how advanced calibration techniques, including item splitting and concurrent anchoring, neutralize cultural bias. The results highlight that scale calibration significantly improves statistical power and ensures that the clinical trial data are fit for regulatory evaluation. Ultimately, robust calibration methodologies are indispensable for maximizing the validity of subjective endpoints in global clinical research.
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Copyright (c) 2026 Joao Campos, Akane Miyazaki, Gavin Parker (Author)
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