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Rasch Analysis of the Korean Version of the Fullerton Advanced Balance Scale

  • Jeon, Yong-jin (Dept. of Physical Therapy, School of Medical and Public Health, Kyungdong University) ;
  • Kim, Gyoung-mo (Dept. of Physical Therapy, Daejeon Health Sciences College)
  • Received : 2017.10.10
  • Accepted : 2017.11.13
  • Published : 2017.11.19

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.

Keywords

References

  1. Blum L, Korner-Bitensky N. Usefulness of the Berg Balance Scale in stroke rehabilitation: A systematic review. Phys Ther. 2008;88(5):559-566. https://doi.org/10.2522/ptj.20070205
  2. Bonan IV, Colle FM, Guichard JP, et al. Reliance on visual information after stroke. Part I: Balance on dynamic posturography. Arch Phys Med Rehabil. 2004;85(2):268-273. https://doi.org/10.1016/j.apmr.2003.06.017
  3. Comins J, Brodersen J, Krogsgaard M, et al. Rasch analysis of the knee injury and osteoarthritis outcome score (KOOS): A statistical re-evaluation. Scand J Med Sci Sports. 2008;18(3):336-345. https://doi.org/10.1111/j.1600-0838.2007.00724.x
  4. Darr N, Franjoine MR, Campbell SK, et al. Psychometric properties of the pediatric balance scale using Rasch analysis. Pediatr Phys Ther. 2015;27(4):337-348. https://doi.org/10.1097/PEP.0000000000000178
  5. Davidson M. Rasch analysis of 24-, 18- and 11-item versions of the Roland-Morris Disability Questionnaire. Qual Life Res. 2009;18(4):473-481. https://doi.org/10.1007/s11136-009-9456-4
  6. Duncan PW, Bode RK, Min Lai S, et al. Rasch analysis of a new stroke-specific outcome scale: The Stroke Impact Scale. Arch Phys Med Rehabil. 2003;84(7):950-963. https://doi.org/10.1016/S0003-9993(03)00035-2
  7. Geurts AC, de Haart M, van Nes IJ, et al. A review of standing balance recovery from stroke. Gait Posture. 2005;22(3):267-281. https://doi.org/10.1016/j.gaitpost.2004.10.002
  8. Gothwal VK, Wright TA, Lamoureux EL, et al. Rasch analysis of the quality of life and vision function questionnaire. Optom Vis Sci. 2009;86(7):E836-844. https://doi.org/10.1097/OPX.0b013e3181ae1ec7
  9. Hellstrom K, Lindmark B. Fear of falling in patients with stroke: A reliability study. Clin Rehabil. 1999;13(6):509-517. https://doi.org/10.1191/026921599677784567
  10. Hernandez D, Rose DJ. Predicting which older adults will or will not fall using the Fullerton Advanced Balance scale. Arch Phys Med Rehabil. 2008;89(12):2309-2315. https://doi.org/10.1016/j.apmr.2008.05.020
  11. Jeon YJ, Kim GM. Comparison of the psychometirc properties of two balance scales in children with cerebral palsy. J Phys Ther Sci. 2016;28(12):3432-3434. https://doi.org/10.1589/jpts.28.3432
  12. Kim GM. Comparison of the Pediatric Balance Scale and Fullerton Advanced Balance Scale for predicting falls in children with cerebral palsy. Phys Ther Korea. 2016a;223(4):63-70.
  13. Kim GM. Reliability and validity on the Korean version of the Fullerton Advanced Balance scale. Phy Ther Korea. 2016b;23(1):31-37. https://doi.org/10.12674/ptk.2016.23.1.031
  14. Klein PJ, Fiedler RC, Rose DJ. Rasch analysis of the Fullerton Advanced Balance (FAB) Scale. Physiother Can. 2011;63(1):115-125. https://doi.org/10.3138/ptc.2009-51
  15. Kornetti DL, Fritz SL, Chiu YP, et al. Rating scale analysis of the Berg Balance Scale. Arch Phys Med Rehabil. 2004;85(7):1128-1135. https://doi.org/10.1016/j.apmr.2003.11.019
  16. Langhorne P, Stott DJ, Robertson L, et al. Medical complications after stroke: A multicenter study. Stroke. 2000;31(6):1223-1229. https://doi.org/10.1161/01.STR.31.6.1223
  17. Li F, Harmer P, Fitzgerald K, et al. Tai chi and postural stability in patients with Parkinson's disease. N Engl J Med. 2012;366(6):511-519. https://doi.org/10.1056/NEJMoa1107911
  18. Mallinson T, Stelmack J, Velozo C. A comparison of the separation ratio and coefficient alpha in the creation of minimum item sets. Med Care. 2004;42(1 Suppl):17-24.
  19. Rose DJ, Lucchese N, Wiersma LD. Development of a multidimensional balance scale for use with functionally independent older adults. Arch Phys Med Rehabil. 2006;87(11):1478-1485. https://doi.org/10.1016/j.apmr.2006.07.263
  20. Schlenstedt C, Brombacher S, Hartwigsen G, et al. Comparing the Fullerton Advanced Balance Scale with the Mini-BESTest and Berg Balance Scale to assess postural control in patients with Parkinson disease. Arch Phys Med Rehabil. 2015;96(2):218-225. https://doi.org/10.1016/j.apmr.2014.09.002
  21. Schlenstedt C, Brombacher S, Hartwigsen G, et al. Comparison of the Fullerton Advanced Balance Scale, Mini-BESTest, and Berg Balance Scale to predict falls in Parkinson disease. Phys Ther. 2016;96(4):494-501. https://doi.org/10.2522/ptj.20150249
  22. Suzuki M, Fujisawa H, Machida Y, et al. Relationship between the Berg Balance Scale and Static Balance Test in Hemiplegic Patients with Stroke. J Phys Ther Sci. 2013;25(8):1043-1049. https://doi.org/10.1589/jpts.25.1043
  23. van de Port IG, Kwakkel G, Schepers VP, et al. Predicting mobility outcome one year after stroke: A prospective cohort study. J Rehabil Med. 2006;38(4):218-223. https://doi.org/10.1080/16501970600582930
  24. Velozo CA, Peterson EW. Using Rasch analysis to develop meaningful fear of falling measures for community dwelling elderly. Am J Phys Med Rahabil. 2001;80(9):662-673. https://doi.org/10.1097/00002060-200109000-00006
  25. Verbecque E, Lobo Da Costa PH, Vereeck L, et al. Psychometric properties of functional balance tests in children: A literature review. Dev Med Child Neurol. 2015;57(6):521-529. https://doi.org/10.1111/dmcn.12657
  26. Weerdesteyn V, de Niet M, van Duijnhoven HJ, et al. Falls in individuals with stroke. J Rehabil Res Dev. 2008;45(8):1195-1213. https://doi.org/10.1682/JRRD.2007.09.0145
  27. White LJ, Velozo CA. The use of Rasch measurement to improve the Oswestry classification scheme. Arch Phys Med Rehabil. 2002;83(6):822-831. https://doi.org/10.1053/apmr.2002.32685
  28. Wright BD, Linacre JM. Observations are always ordinal; Measurements, however, must be interval. Arch Phys Med Rehabil. 1989;70(12):857-860.

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  1. Validation of the Fullerton Advanced Balance Scale in children with cerebral palsy vol.25, pp.9, 2018, https://doi.org/10.12968/ijtr.2018.25.9.459