Psychometric Properties of the Persian Version of the Fatigue Impact Scale (FIS-P) in Patients with Multiple Sclerosis
محل انتشار: مجله توانبخشی ایرانیان، دوره: 13، شماره: 3
سال انتشار: 1394
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 36
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شناسه ملی سند علمی:
JR_IRJU-13-3_006
تاریخ نمایه سازی: 6 دی 1402
چکیده مقاله:
Objectives: This study was designed to evaluate the psychometric features of the Persian version of the Fatigue Impact Scale (FIS-P) tool when used in Iranian MS patients.
Methods: ۱۴۰ MS patients and the equivalent number of healthy controls completed the following assessments: FIS-P, Fatigue Severity Scale (FSS), SF-۳۶ questionnaire and the Mini-Mental State Examination (MMSE).
Results: A significant inverse correlation between FIS and the quality of life (SF-۳۶ assessment tool), as well as a positive and significant correlation with the FSS were noted. The Intraclass Correlation Coefficient (ICC) values for the inter-rater reliability for the physical, cognitive, and social sections and the whole questionnaire were ۰.۸۹, ۰.۸۶, ۰.۹۵ and ۰.۹۸, respectively. The FIS Persian version was shown to possess a high reliability (with a Cronbach’s alpha of ۰.۹۵۳). Likewise, the ICC values for the test-retest reliability were ۰.۸۶, ۰.۸۷, ۰.۹۲ and ۰.۹۳ for the physical, cognitive, social subscales and the whole questionnaire, respectively. This suggested a high reliability for the FIS-P.
Discussion: With a proper validity and reliability, the Persian-version of FIS retains the capability for being used in the assessment of fatigue and evaluation of the treatment and rehabilitation effects on fatigue-related symptoms among Persian-speaking patients with MS.
کلیدواژه ها:
نویسندگان
Marzieh Heidari
Tehran University of Medical Sciences, Tehran, Iran.
Seyed Massood Nabavi
Department of Neurology, School of Medicine, Shahed Medical University, Tehran, Iran.
Malahat Akbarfahimi
Department of Occupational Therapy, School of Rehabilitation Sciences, Iran University of Medical Sciences, Tehran, Iran.
Masoud Salehi
Department of Statistics and Mathematics, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Mohammad Torabi-Nami
Department of Neuroscience, School of Advanced Medical Science and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran.