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Indexed/Abstracted in: CINAHL, Current Contents/Clinical Medicine, EMBASE, PubMed/MEDLINE, Science Citation Index Expanded (SciSearch), Scopus
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Mohanasuntharaam NADARAJAH ,1 Mazlina MAZLAN 1, Lydia ABDUL-LATIF 1, Hui T. GOH 2
1 Department of Rehabilitation Medicine, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia; 2 The School of Physical Therapy, Texas Woman’s University, Dallas, TX, USA
BACKGROUND: Post stroke fatigue (PSF) is a common complaint among stroke survivors and has significant impacts on recovery and quality of life. Limited tools that measure fatigue have been validated in stroke.
AIMS: The purpose of this study was to determine the psychometric properties of Fatigue Severity Scale (FSS) in patients with stroke.
DESIGN: Cross-sectional study.
SETTING: Teaching hospital outpatient setting.
POPULATION: 50 healthy controls (mean age = 61.1 ± 7.4 years; 22 males) and 50 patients with stroke (mean age = 63.6 ± 10.3 years; 34 males).
METHODS: FSS was administered twice approximately a week apart through face-to-face interview. In addition, we measured fatigue with Visual Analogue Scale-Fatigue (VAS-Fatigue) and Short Form-36v2 (SF-36) vitality scale. We used Cronbach alpha to determine internal consistency of FSS. Reliability and validity of FSS were determined by Intraclass Correlation Coefficient (ICC) and Spearman correlation coefficient ®.
RESULTS: FSS showed excellent internal consistency for both stroke and healthy groups (Cronbach alpha > .90). FSS had excellent test-retest reliability for stroke patients and healthy controls (ICC = 0.93 and 0.90 respectively). The scale demonstrated good concurrent validity with VAS-Fatigue (all r > .60) and a moderate validity with the SF36-vitality scale. Further, FSS was sensitive to distinguish fatigue in stroke from the healthy controls (p < .01).
CONCLUSIONS: FSS has excellent internal consistency, test-retest reliability and good concurrent validity with VAS-F for both groups.
CLINICAL REHABILITATION IMPACT: This study provides evidence that FSS is a reliable and valid tool to measure post-stroke fatigue and is readily to be used clinical settings.