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Fatigue occurs when materials rupture under repeated or fluctuating loads, even at stress levels far below their static breaking strength. It typically results in brittle failure, even for ductile materials. It is a critical consideration in designing machines and structural components subjected to repetitive or varying loads. The nature of these loadings can range from fluctuating loads like unbalanced pump impellers causing vibrations to repeatedly bending a thin steel rod wire back and forth...
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Linking fatigue measures on a common reporting metric.

Jin-Shei Lai1, David Cella2, Betina Yanez2

  • 1Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA; Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.

Journal of Pain and Symptom Management
|April 5, 2014
PubMed
Summary

This study developed crosswalk tables to compare fatigue scores across multiple patient-reported outcome measures. These tools aid in interpreting and comparing fatigue outcomes in research and clinical practice.

Keywords:
Fatiguecomparative effectiveness measurementitem response theorypatient-reported outcomes

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Area of Science:

  • Health Outcomes Research
  • Psychometrics
  • Clinical Measurement

Background:

  • Fatigue is a prevalent and disabling symptom in chronic conditions and the general population.
  • Standardizing fatigue measures is crucial for interpreting outcomes.
  • Direct comparison of fatigue scores across different instruments is needed.

Purpose of the Study:

  • To develop linking (crosswalk) tables for comparing Patient-Reported Outcomes Measurement Information System-Fatigue (PROMIS-Fatigue) scores with other fatigue scales.
  • To enable direct comparison of PROMIS-Fatigue with the Functional Assessment of Chronic Illness Therapy-Fatigue Scale (FACIT-Fatigue), the Medical Outcomes Study Short Form-36 Vitality Scale (SF-36 Vitality), and the Quality of Life in Neurological Disorders Fatigue Scale (QOLIN-Fatigue).

Main Methods:

  • Utilized two item response theory (IRT)-based linking methods: Stocking-Lord calibration and fixed-parameter calibration.
  • Calibrations were derived using the graded response model.
  • Data from two large participant datasets (n=1120 and n=803) were analyzed.

Main Results:

  • Both Stocking-Lord and fixed-parameter calibration methods yielded comparable results for linking fatigue measures.
  • Final crosswalk tables are provided based on the fixed-parameter calibration method.
  • The developed tables facilitate score comparison across widely used fatigue instruments.

Conclusions:

  • The created crosswalk tables enhance the interpretability of fatigue scores.
  • Findings support the comparison of patient-reported fatigue outcomes in clinical trials and practice.
  • This work aids comparative effectiveness research by standardizing fatigue outcome metrics.