Swipe om te navigeren naar een ander artikel
Fatigue is a complex, multidimensional construct. Most questionnaires measuring fatigue do not meet the standards for good measurement properties. Therefore, the Neurological Fatigue Index for multiple sclerosis (NFI-MS) is recently developed using thorough methods. The aim of this study was to develop and validate the Dutch version of the NFI-MS.
The original English version of the NFI-MS was translated into Dutch using a forward–backward procedure. Reliability (intraclass correlation coefficient (ICC) and standard error of measurement (SEM)) were assessed for the summary score and the four subscale scores separately. Construct validity was assessed by testing hypotheses about expected correlations between the NFI-MS and other constructs (e.g. impact on functioning and depression) and expected differences on NFI scores between groups defined on the basis of disease type and work status.
The reliability analyses (n = 118) showed that the ICC was 0.78 (NFI-MS summary) and ranged from 0.75 to 0.83 for the four subscales and the SEM was 2.5 (NFI-MS summary) and ranged from 1.1 to 2.2 for the four subscales. For construct validity (n = 136), 50 out of the 57 expected hypotheses were confirmed (88 %).
The present study shows that the Dutch version of the NFI-MS is a reliable and valid self-report questionnaire for measuring fatigue in Dutch patients with MS.
Log in om toegang te krijgen
Met onderstaand(e) abonnement(en) heeft u direct toegang:
Kos, D., Kerckhofs, E., Nagels, G., D’hooghe, M. B., & Ilsbroukx, S. (2008). Origin of fatigue in multiple sclerosis: Review of the literature. Neurorehabilitation & Neural Repair, 22, 91–100. CrossRef
Vercoulen, J. H., Hommes, O. R., Swanink, C. M., Jongen, P. J., Fennis, J. F., Galama, J. M., et al. (1996). The measurement of fatigue in patients with multiple sclerosis. A multidimensional comparison with patients with chronic fatigue syndrome and healthy subjects. Archives of Neurology, 53, 642–649. PubMedCrossRef
Mills, R. J., Young, C. A., Pallant, J. F., & Tennant, A. (2010). Development of a patient reported outcome scale for fatigue in multiple sclerosis: The Neurological Fatigue Index (NFI-MS). Health and Quality of Life Outcomes, 12, 8–22.
Mills, R. J., & Young, C. A. (2008). A medical definition of fatigue in multiple sclerosis. QJM: An International Journal of Medicine, 101, 49–60. CrossRef
Mokkink, L. B., Terwee, C. B., Patrick, D. L., Alonso, J., Stratford, P. W., Knol, D. L., et al. (2010). The COSMIN study reached international consensus on taxonomy, terminology, and definitions of measurement properties for health-related patient-reported outcomes. Journal of Clinical Epidemiology, 63, 737–745. PubMedCrossRef
McGraw, K. O., & Wong, S. P. (1996). Forming inferences about some intraclass correlation coefficients. Psychological Methods, 1, 30–46. CrossRef
Bowen, J., Gibbons, L., Gianas, A., & Kraft, G. H. (2001). Self-administrated Expanded Disability Status Scale with functional system scores correlates well with a physician-administered test. Multiple Sclerosis, 7, 201–206. PubMed
Mills, J., & Young, C. A. (2010). The relationship between fatigue and other clinical features of multiple sclerosis. Multiple Sclerosis Journal, 0, 1–9.
Minden, S. L. (2003). Mood disorders in multiple sclerosis: Diagnosis and treatment. Journal of Clinical Endocrinology and Metabolism, 88, 26–30. CrossRef
Arnett, P. A., Barwick, F. H., & Beeney, J. E. (2008). Depression in Multiple Sclerosis: Review and theoretical proposal. Journal of the International Neuropsychological Society, 14, 691–724. PubMed
American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders (4th ed.). Washington DC: American Psychiatric Association.
SPSS. (2006). Base 15.0 for windows user’s guide. Chicago, IL: SPSS Inc.
Kamper, S. J., Ostelo, R. W. J. G., Knol, D. L., Maher, C. G., De Vet, H. C. W., Hancock, M. J., et al. (2010). Global Perceived Effect scales provided reliable assessments of health transition in people with musculoskeletal disorders, but ratings are strongly influenced by current status. Journal of Clinical Epidemiology, 63, 760–766. PubMedCrossRef
Reise, S. P., & Yu, J. (1990). Parameter recovery in the graded response model using MULTILOG. Journal of Educational Measurement, 27, 133–144. CrossRef
- Validation of a Dutch version of the Neurological Fatigue Index (NFI-MS) for patients with multiple sclerosis in the Netherlands
Lidwine B. Mokkink
Marc B. Rietberg
Dirk L. Knol
Raymond W. J. G. Ostelo
Bernard M. J. Uitdehaag
- Springer Netherlands