Rasch Analysis of the Korean Version of the Fullerton Advanced Balance Scale
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Background: Rasch analysis has the advantage of placing both the items and the person along a single ratio scale and calibrates person ability and item difficulty onto an interval scale by logits. Therefore, Rasch analysis has been recommended as a better method for evaluating functional outcome questionnaires than traditional analyses. Objects: The aim of current study was to investigate item fit, item difficulty, rating scale, and separation index of the Korean version of the Fullerton Advanced Balance (KFAB) scale using Rasch analysis. Methods: In total, 93 patients with stroke (male=58, female=35) participated in this study. To investigate the item fit, difficulty, rating scale, and separation index of the KFAB scale, Rasch analysis was completed by the Winsteps software program. Results: In this study, all items of the KFAB scale were included in the Rasch model. The most difficult item was ‘standing with feet together and eyes closed’, and the easiest item was ‘two-footed jump’. The rating scale was a 4-point scale instead of the original 5-point scale. Person and item separation indices showed high values that can identify a person with a wide range of balance ability. Conclusion: The KFAB scale appears to be a reliable and valid tool to assess balance function in patients with stroke. Furthermore, the scale was found to discriminate among stroke patients of varying balance abilities.
Abstract
Background: Rasch analysis has the advantage of placing both the items and the person along a single ratio scale and calibrates person ability and item difficulty onto an interval scale by logits. Therefore, Rasch analysis has been recommended as a better method for evaluating functional outcome questionnaires than traditional analyses. Objects: The aim of current study was to investigate item fit, item difficulty, rating scale, and separation index of the Korean version of the Fullerton Advanced Balance (KFAB) scale using Rasch analysis. Methods: In total, 93 patients with stroke (male=58, female=35) participated in this study. To investigate the item fit, difficulty, rating scale, and separation index of the KFAB scale, Rasch analysis was completed by the Winsteps software program. Results: In this study, all items of the KFAB scale were included in the Rasch model. The most difficult item was ‘standing with feet together and eyes closed’, and the easiest item was ‘two-footed jump’. The rating scale was a 4-point scale instead of the original 5-point scale. Person and item separation indices showed high values that can identify a person with a wide range of balance ability. Conclusion: The KFAB scale appears to be a reliable and valid tool to assess balance function in patients with stroke. Furthermore, the scale was found to discriminate among stroke patients of varying balance abilities.
참고문헌 (28)
- Lisa Blum, "Usefulness of the Berg Balance Scale in Stroke Rehabilitation: A Systematic Review", Physical Therapy, 88(5), pp.559~566 (2008), Oxford University Press (OUP)[DOI]
- Bonan IV, "Reliance on visual information after stroke. Part I: Balance on dynamic posturography", Arch Phys Med Rehabil, 85(2), pp.268~273 (2004)
- Comins J, "Rasch analysis of the knee injury and osteoarthritis outcome score(KOOS) : A statistical re-evaluation", Scand J Med Sci Sports, 18(3), pp.336~345 (2008)
- Nancy Darr, "Psychometric Properties of the Pediatric Balance Scale Using Rasch Analysis", Pediatric Physical Therapy, 27(4), pp.337~348 (2015), Ovid Technologies (Wolters Kluwer Health)[DOI]
- Megan Davidson, "Rasch analysis of 24-, 18- and 11-item versions of the Roland-Morris Disability Questionnaire", Quality of Life Research, 18(4), pp.473~481 (2009), Springer Nature[DOI]
- Duncan PW, "Rasch analysis of a new stroke-specific outcome scale: The Stroke Impact Scale", Arch Phys Med Rehabil, 84(7), pp.950~963 (2003)
- Geurts AC, "A review of standing balance recovery from stroke", Gait Posture, 22(3), pp.267~281 (2005)
- Vijaya K. Gothwal, "Rasch Analysis of the Quality of Life and Vision Function Questionnaire", Optometry and Vision Science, 86(7), pp.E836~E844 (2009), Ovid Technologies (Wolters Kluwer Health)[DOI]
- Hellström K, "Fear of falling in patients with stroke: A reliability study", Clin Rehabil, 13(6), pp.509~517 (1999)
- Danielle Hernandez, "Predicting Which Older Adults Will or Will Not Fall Using the Fullerton Advanced Balance Scale", Archives of Physical Medicine and Rehabilitation, 89(12), pp.2309~2315 (2008), Elsevier BV[DOI]
- Yong-Jin Jeon, "Comparison of the psychometric properties of two balance scales in children with cerebral palsy", Journal of Physical Therapy Science, 28(12), pp.3432~3434 (2016), Society of Physical Therapy Science[DOI]
- 김경모, "Comparison of the Pediatric Balance Scale and Fullerton Advanced Balance Scale for Predicting Falls in Children With Cerebral Palsy", 한국전문물리치료학회지, 23(4), pp.63~70 (2016), 한국전문물리치료학회[DOI]
- 김경모, "한국어판 플러턴 어드밴스드 균형 척도의 신뢰도와 타당도 연구", 한국전문물리치료학회지, 23(1), pp.31~37 (2016), 한국전문물리치료학회[DOI]
- Penelope J. Klein, "Rasch Analysis of the Fullerton Advanced Balance (FAB) Scale", Physiotherapy Canada, 63(1), pp.115~125 (2011), University of Toronto Press Inc. (UTPress)[DOI]
- Kornetti DL, "Rating scale analysis of the Berg Balance Scale", Arch Phys Med Rehabil, 85(7), pp.1128~1135 (2004)
- Langhorne P, "Medical complications after stroke: A multicenter study", Stroke, 31(6), pp.1223~1229 (2000)
- Fuzhong Li, "Tai Chi and Postural Stability in Patients with Parkinson's Disease", New England Journal of Medicine, 366(6), pp.511~519 (2012), New England Journal of Medicine (NEJM[DOI]
- Mallinson T, "A comparison of the separation ratio and coefficient alpha in the creation of minimum item sets", Med Care, 42(1 suppl), pp.I17~I24 (2004)
- Rose DJ, "Development of a multidimensional balance scale for use with functionally independent older adults", Arch Phys Med Rehabil, 87(11), pp.1478~1485 (2006)
- Christian Schlenstedt, "Comparing the Fullerton Advanced Balance Scale With the Mini-BESTest and Berg Balance Scale to Assess Postural Control in Patients With Parkinson Disease", Archives of Physical Medicine and Rehabilitation, 96(2), pp.218~225 (2015), Elsevier BV[DOI]
- C. Schlenstedt, "Comparison of the Fullerton Advanced Balance Scale, Mini-BESTest, and Berg Balance Scale to Predict Falls in Parkinson Disease", Physical Therapy, 96(4), pp.494~501 (2016), Oxford University Press (OUP)[DOI]
- Makoto Suzuki, "Relationship between the Berg Balance Scale and Static Balance Test in Hemiplegic Patients with Stroke", Journal of Physical Therapy Science, 25(8), pp.1043~1049 (2013), Society of Physical Therapy Science[DOI]
- van de Port IG, "Predicting mobility outcome one year after stroke: A prospective cohort study", J Rehabil Med, 38(4), pp.218~223 (2006)
- Velozo CA, "Using Rasch analysis to develop meaningful fear of falling measures for community dwelling elderly", Am J Phys Med Rahabil, 80(9), pp.662~673 (2001)
- Evi Verbecque, "Psychometric properties of functional balance tests in children: a literature review", Developmental Medicine & Child Neurology, 57(6), pp.521~529 (2015), Wiley-Blackwell[DOI]
- Weerdesteyn V, "Falls in individuals with stroke", J Rehabil Res Dev, 45(8), pp.1195~1213 (2008)
- White LJ, "The use of Rasch measurement to improve the Oswestry classification scheme", Arch Phys Med Rehabil, 83(6), pp.822~831 (2002)
- Wright BD, "Observations are always ordinal; measurements, however, must be interval", Arch Phys Med Rehabil, 70(12), pp.857~860 (1989)
