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MULTIDIMENSIONAL FATIGUE SYMPTOM INVENTORY-SHORT FORM: A SYSTEMATIC REVIEW OF ITS PSYCHOMETRIC PROPERTIES
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MULTIDIMENSIONAL FATIGUE SYMPTOM INVENTORY-SHORT FORM: A SYSTEMATIC REVIEW OF ITS PSYCHOMETRIC PROPERTIES
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Journal Article
MULTIDIMENSIONAL FATIGUE SYMPTOM INVENTORY-SHORT FORM: A SYSTEMATIC REVIEW OF ITS PSYCHOMETRIC PROPERTIES
2022
Overview
Fatigue is among the most common problems experienced by cancer patients. The Multidimensional Fatigue Symptom Inventory-Short Form (MFSI-SF), a 30-item self-report measure, assesses five empirically-derived dimensions: general, physical, emotional and mental fatigue and vigor We reviewed and evaluated the MFSI-SF's psychometic properties based on its use in published research studies. We identified 70 studies published between 1998 and 2013. Alpha coefficients and test-retest correlations were summarized to characterize internal consistency reliability and test-retest reliability, respectively. Correlation coefficients between subscales and other published measures were summarized to characterize concurrent, convergent and divergent validity. The mean difference statistic (d) was calculated to characterize sensitivity to change and discriminative validity. Mean alpha coefficients for subscales ranged from 0.83 to 0.93 and mean test-retest correlations from 0.48 to 0.67. Correlations between subscales and other fatigue measures ranged from 0.36 to 0.91. The mean correlation between MRFI-SF vigor and other measures of vitality/vigor was .64. Correlations with depression and anxiety measures were small to large and in the expected direction (range=0.10-0.80). Effect sizes for sensitivity to change and discriminative validity ranged from very small to very large. The MFSI-SF has been widely used to assess fatigue. Its psychometric properties include high internal consistency and moderate test-retest reliability. Its concurrent validity is moderate to high; there is good evidence for its convergent and divergent validity. Evidence for its sensitivity to change and discriminative validity is positive. These findings encourage continued use of the MFSI-SF in fatigue research studies.
Publisher
Springer
Subject
