Research Article

Inter-rater Reliability, Test-retest Reliability, and Internal Consistency of the Persian Version of Dynamic Gait Index in Patients With Multiple Sclerosis

Abstract

Introduction: Dynamic Gait Index (DGI) has been used as a valid and reliable tool to assess balance performance in various populations. However, it has been translated into the Persian language and has shown perfect psychometric properties in the elderly population. The Persian version in Multiple Sclerosis (MS) population was validated, but its reliability has not been examined. The aim of the current study was to investigate the inter-rater reliability, test-retest reliability, and internal consistency of the Persian version of DGI in MS patients.
Materials and Methods: A total of 62 participants took part in the reliability process. The sample included 51 females and 11 males. Inter-rater reliability was assessed by the agreement of the results obtained by two occupational therapists. We considered a 3-day interval for the first and second data collection. Test-retest and inter-rater reliability were measured with the Intraclass Correlation Coefficient (ICC2, 1) and internal consistency was evaluated with the Cronbach alpha.
Results: The Persian version of DGI showed excellent inter-rater reliability (ICC for total score was 0.98 and ICC for the items ranged from 0.83 to 0.96) and test-retest reliability (ICC for the overall score was 0.97 and ICC for the items ranged from 0.82 to 0.96). The Cronbach alpha of the Persian version of DGI was 0.87.
Conclusion: The Persian version of DGI can be used as a reliable tool for dynamic balance measurement of MS patients in clinical settings and research studies.

‎1.‎ Minden S, Frankel D, Hadden L, Perloff J, Srinath K, Hoaglin D. The Sonya Slifka longitudinal ‎multiple sclerosis study: Methods and sample characteristics. Multiple Sclerosis Journal. 2006; ‎‎12(1):24-38. [DOI:10.1191/135248506ms1262oa] [PMID]‎

‎2.‎ Pendleton HM, Schultz-Krohn W. Pedretti’s occupational therapy-e-book: Practice skills for ‎physical dysfunction. Gurgaon: Elsevier Health Sciences; 2017.‎

‎3.‎ Fritz NE, Marasigan RER, Calabresi PA, Newsome SD, Zackowski KM. The impact of dynamic ‎balance measures on walking performance in multiple sclerosis. Neurorehabilitation and ‎Neural Repair. 2015; 29(1):62-9. [DOI:10.1177/1545968314532835] [PMID] [PMCID]‎

‎4.‎ Fjeldstad C, Pardo G, Bemben D, Bemben M. Decreased postural balance in multiple sclerosis ‎patients with low disability. International Journal of Rehabilitation Research. 2011; 34(1):53-8. ‎‎[DOI:10.1097/MRR.0b013e32833d6ccb] [PMID]‎

‎5.‎ Comber L, Galvin R, Coote S. Gait deficits in people with multiple sclerosis: A systematic review ‎and meta-analysis. Gait & Posture. 2017; 51:25-35. [DOI:10.1016/j.gaitpost.2016.09.026] [PMID]‎

‎6.‎ Mehravar M, Yadollah-Pour N, Tajali S, Shaterzadeh-Yazdi MJ, Majdinasab N. The role of ‎anticipatory postural adjustments and compensatory control of posture in balance control of ‎patients with multiple sclerosis. Journal of Mechanics in Medicine and Biology. 2015; ‎‎15(05):1550087. [DOI:10.1142/S0219519415500876]‎

‎7.‎ Sosnoff JJ, Socie MJ, Boes MK, Sandroff BM, Pula JH, Suh Y, et al. Mobility, balance and falls in ‎persons with multiple sclerosis. PLOS One. 2011; 6(11):e28021. ‎‎[DOI:10.1371/journal.pone.0028021] [PMID] [PMCID]‎

‎8.‎ Kalron A, Achiron A. The relationship between fear of falling to spatiotemporal gait parameters ‎measured by an instrumented treadmill in people with multiple sclerosis. Gait & Posture. 2014; ‎‎39(2):739-44. [DOI:10.1016/j.gaitpost.2013.10.012] [PMID]‎

‎9.‎ Sutliff MH. Contribution of impaired mobility to patient burden in multiple sclerosis. Current ‎Medical Research and Opinion. 2010; 26(1):109-19. [DOI:10.1185/03007990903433528] [PMID]‎

‎10.‎ Prosperini L, Kouleridou A, Petsas N, Leonardi L, Tona F, Pantano P, et al. The relationship ‎between infratentorial lesions, balance deficit and accidental falls in multiple sclerosis. Journal ‎of the Neurological Sciences. 2011; 304(1-2):55-60. [DOI:10.1016/j.jns.2011.02.014] [PMID]‎

‎11.‎ Tona F, De Giglio L, Petsas N, Sbardella E, Prosperini L, Upadhyay N, et al. Role of cerebellar ‎dentate functional connectivity in balance deficits in patients with multiple sclerosis. Radiology. ‎‎2017; 287(1):267-75. [DOI:10.1148/radiol.2017170311] [PMID]‎

‎12.‎ Hebert J, Corboy J. The association between multiple sclerosis-related fatigue and balance as a ‎function of central sensory integration. Gait & Posture. 2013; 38(1):37-42. ‎‎[DOI:10.1016/j.gaitpost.2012.10.015] [PMID]‎

‎13.‎ Lorefice L, Coghe G, Fenu G, Porta M, Pilloni G, Frau J, et al. ‘Timed up and go’and brain ‎atrophy: A preliminary MRI study to assess functional mobility performance in multiple ‎sclerosis. Journal of Neurology. 2017; 264(11):2201-4. [DOI:10.1007/s00415-017-8612-y] [PMID]‎

‎14.‎ Fling BW, Dutta GG, Schlueter H, Cameron MH, Horak FB. Associations between proprioceptive ‎neural pathway structural connectivity and balance in people with multiple sclerosis. Frontiers ‎in Human Neuroscience. 2014; 8:814. [DOI:10.3389/fnhum.2014.00814] [PMID] [PMCID]‎

‎15.‎ Jones S. Somatosensory impairment and balance dysfunction in multiple sclerosis. ‎Massachusetts: University of Massachusetts Medical School; 2014.‎

‎16.‎ Shumway-Cook A, Baldwin M, Polissar NL, Gruber W. Predicting the probability for falls in ‎community-dwelling older adults. Physical Therapy. 1997; 77(8):812-9. ‎‎[DOI:10.1093/ptj/77.8.812] [PMID]‎

‎17.‎ Shumway-Cook A, Woollacott MH. Motor control: Translating research into clinical practice. ‎Sydney: Lippincott Williams & Wilkins; 1995.‎

‎18.‎ Jonsdottir J, Cattaneo D. Reliability and validity of the dynamic gait index in persons with ‎chronic stroke. Archives of Physical Medicine and Rehabilitation. 2007; 88(11):1410-5. ‎‎[DOI:10.1016/j.apmr.2007.08.109] [PMID]‎

‎19.‎ Whitney S, Wrisley D, Furman J. Concurrent validity of the berg balance scale and the dynamic ‎gait index in people with vestibular dysfunction. Physiotherapy Research International. 2003; ‎‎8(4):178-86. [DOI:10.1002/pri.288] [PMID]‎

‎20.‎ Simon T, Harro C. Reliability and validity of the dynamic gait index in individuals with brain ‎injury. Journal of Neurologic Physical Therapy. 2004; 28(4):180-1. [DOI:10.1097/01253086-‎‎200412000-00038]‎

‎21.‎ McConvey J, Bennett SE. Reliability of the dynamic gait index in individuals with multiple ‎sclerosis. Archives of Physical Medicine and Rehabilitation. 2005; 86(1):130-3. ‎‎[DOI:10.1016/j.apmr.2003.11.033] [PMID]‎

‎22.‎ Forsberg A, Andreasson M, Nilsagård YE. Validity of the dynamic gait index in people with ‎multiple sclerosis. Physical Therapy. 2013; 93(10):1369-76. [DOI:10.2522/ptj.20120284] [PMID]‎

‎23.‎ Abdiani M, Golpayegani M, Khajavi D. [Validity and reliability of Persian version of dynamic gait ‎index in older men (Persian)]. Iranian Journal of Ageing. 2014; 9(2):124-33.‎

‎24.‎ Eghlidi J, Kalantari M, Soltanpour H, Akbar-Fahimi M, Akbarzadeh A, Beladi MN, et al. [Validity ‎of the Persian version of Dynamic Gait Index (DGI-P) in individuals with multiple sclerosis ‎‎(Persian)]. Journal of Rehabilitation Medicine. 2017; 6(2):11-8.‎

‎25.‎ Kottner J, Audigé L, Brorson S, Donner A, Gajewski BJ, Hróbjartsson A, et al. Guidelines for ‎Reporting Reliability And Agreement Studies (GRRAS) were proposed. International Journal of ‎Nursing Studies. 2011; 48(6):661-71. [DOI:10.1016/j.ijnurstu.2011.01.017] [PMID]‎

‎26.‎ Herman T, Inbar-Borovsky N, Brozgol M, Giladi N, Hausdorff JM. The dynamic gait index in ‎healthy older adults: The role of stair climbing, fear of falling and gender. Gait & Posture. 2009; ‎‎29(2):237-41. [DOI:10.1016/j.gaitpost.2008.08.013] [PMID] [PMCID]‎

‎27.‎ Andresen EM. Criteria for assessing the tools of disability outcomes research. Archives of ‎Physical Medicine and Rehabilitation. 2000; 81(Suppl. 2):S15-20. ‎‎[DOI:10.1053/apmr.2000.20619]‎

‎28.‎ Cattaneo D, Jonsdottir J, Repetti S. Reliability of four scales on balance disorders in persons ‎with multiple sclerosis. Disability and Rehabilitation. 2007; 29(24):1920-5. ‎‎[DOI:10.1080/09638280701191859] [PMID]‎

‎29.‎ Socie MJ, Sosnoff JJ. Gait variability and multiple sclerosis. Multiple Sclerosis International. ‎‎2013; 2013:645197. [DOI:10.1155/2013/645197] [PMID] [PMCID]‎

‎30.‎ Goldsmith JW. Methodological considerations in using videotape to establish rater reliability. ‎Nursing Research. 1981; 30(2):124-8. [DOI:10.1097/00006199-198103000-00016] [PMID]‎

‎31.‎ Soyuer F, Mirza M, Erkorkmaz Ü. Balance performance in three forms of multiple sclerosis. ‎Neurological Research. 2006; 28(5):555-62. [DOI:10.1179/016164105X49373] [PMID]‎

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IssueVol 12 No 4 (2018) QRcode
SectionResearch Article(s)
Keywords
Multiple sclerosis Gait Postural balance Psychometrics

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1.
Soltanpour H, Kalantari M, Roostaei M. Inter-rater Reliability, Test-retest Reliability, and Internal Consistency of the Persian Version of Dynamic Gait Index in Patients With Multiple Sclerosis. jmr. 2019;12(4):245-252.