Self-Report Measures of Fatigue for People With Multiple Sclerosis: A Systematic Review.

Autor:	Cohen ET; Arcadia University, Glenside, Pennsylvania (E.T.C.); University of Washington, Seattle (P.N.M.); Departments of Health Care Sciences and Neurology, Wayne State University, Detroit, Michigan (N.E.F.); University of California San Francisco/San Francisco State University, San Francisco (D.D.A.); University of Michigan-Flint, Flint (A.M.Y.); Samuel Merritt University, Oakland, California (G.L.W.); Rutgers University Libraries, New Brunswick, New Jersey (S.T.J.); and Tufts University, Seattle, Washington, (K.P.)., Matsuda PN, Fritz NE, Allen DD, Yorke AM, Widener GL, Jewell ST, Potter K
Jazyk:	angličtina
Zdroj:	Journal of neurologic physical therapy : JNPT [J Neurol Phys Ther] 2024 Jan 01; Vol. 48 (1), pp. 6-14. Date of Electronic Publication: 2023 Jul 04.
DOI:	10.1097/NPT.0000000000000452
Abstrakt:	Background and Purpose: The symptom of fatigue impairs function in people with multiple sclerosis (MS). Choosing appropriate measures to assess fatigue is challenging. The purpose of this article is to report the findings of a systematic review of patient-reported fatigue measures for people with MS. Methods: PubMed, CINAHL, and Embase databases were searched through January 2020 using terms related to fatigue and MS. Studies were included if the sample size was 30 or more or smaller samples if adequately powered, and if information about measurement characteristics (ie, test-retest reliability, content validity, responsiveness, interpretability, or generalizability) of the measure(s) could be extracted. Study quality was appraised with the 2-point COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) checklist. Data about measurement characteristics, psychometrics, and clinical utility were extracted and results were synthesized. Results: Twenty-four articles met inclusion criteria with information about 17 patient-reported fatigue measures. No studies had critical methodologic flaws. Measurement characteristic data were not available for all measures. Clinical utility varied in time to complete and fatigue domains assessed. Discussion and Conclusions: Five measures had data pertaining to all properties of interest. Of these, only the Modified Fatigue Impact Scale (MFIS) and Fatigue Severity Scale (FSS) had excellent reliability, responsiveness data, no notable ceiling/floor effects, and high clinical utility. We recommend the MFIS for comprehensive measurement and the FSS for screening of subjective fatigue in people with MS.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A443 ). Competing Interests: The authors declare no conflict of interest. (Copyright © 2023 Academy of Neurologic Physical Therapy, APTA.)
Databáze:	MEDLINE
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