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Rasch Analysis of the Clinimetric Properties of the Korean Dizziness Handicap Inventory in Patients with Parkinson Disease

파킨슨병 환자에서 한국어판 Dizziness Handicap Inventory의 라쉬 분석에 의한 임상측정 특성 평가

  • Lee, Da-Young (Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine) ;
  • Yang, Hui-Jun (Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine) ;
  • Yang, Dong-Seok (Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine) ;
  • Choi, Jin-Hyuk (Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine) ;
  • Park, Byoung-Soo (Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine) ;
  • Park, Ji-Yun (Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine)
  • 이다영 (울산대학교 의과대학 신경과학교실, 울산대학교병원 신경과) ;
  • 양희준 (울산대학교 의과대학 신경과학교실, 울산대학교병원 신경과) ;
  • 양동석 (울산대학교 의과대학 신경과학교실, 울산대학교병원 신경과) ;
  • 최진혁 (울산대학교 의과대학 신경과학교실, 울산대학교병원 신경과) ;
  • 박병수 (울산대학교 의과대학 신경과학교실, 울산대학교병원 신경과) ;
  • 박지윤 (울산대학교 의과대학 신경과학교실, 울산대학교병원 신경과)
  • Received : 2018.11.30
  • Accepted : 2018.12.03
  • Published : 2018.12.15

Abstract

Objectives: The Korean Dizziness Handicap Inventory (KDHI), which includes 25 patient-reported items, has been used to assess self-reported dizziness in Korean patients with Parkinson disease (PD). Nevertheless, few studies have examined the KDHI based on item-response theory within this population. The aim of our study was to address the feasibility and clinimetric properties of the KDHI instrument using polytomous Rasch measurement analysis. Methods: The unidimensionality, scale targeting, separation reliability, item difficulty (severity), and response category utility of the KDHI were statistically assessed based on the Andrich rating scale model. The utilities of the orderedresponse categories of the 3-point Likert scale were analyzed with reference to the probability curves of the response categories. The separation reliability of the KDHI was assessed based on person separation reliability (PSR), which is used to measure the capacity to discriminate among groups of patients with different levels of balance deficits. Results: Principal component analyses of residuals revealed that the KDHI had unidimensionality. The KHDI had satisfactory PSR and there were no disordered thresholds in the 3-point rating scale. However, the KDHI showed several issues for inappropriate scale targeting and misfit items (items 1 and 2) for Rasch model. Conclusions: The KDHI provide unidimensional measures of imbalance symptoms in patients with PD with adequate separation reliability. There was no statistical evidence of disorder in polytomous rating scales. The Rasch analysis results suggest that the KDHI is a reliable scale for measuring the imbalance symptoms in PD patients, and identified parts for possible amendments in order to further improve the linear metric scale.

Keywords

Acknowledgement

Supported by : Daiichi-Sankyo Korea Co.

References

  1. Kwon DY, Koh SB, Lee JH, Park HK, Kim HJ, Shin HW, et al. The KMDS-NATION Study: Korean movement disorders society multicenter assessment of non-motor symptoms and quality of life in Parkinson's Disease NATION Study Group. J Clin Neurol 2016;12:393-402. https://doi.org/10.3988/jcn.2016.12.4.393
  2. Kim SD, Allen NE, Canning CG, Fung VS. Postural instability in patients with Parkinson's disease. Epidemiology, pathophysiology and management. CNS Drugs 2013;27:97-112. https://doi.org/10.1007/s40263-012-0012-3
  3. Yang HJ, Kim YE, Yun JY, Kim HJ, Jeon BS. Identifying the clusters within nonmotor manifestations in early Parkinson's disease by using unsupervised cluster analysis. PLoS One 2014;9:e91906. https://doi.org/10.1371/journal.pone.0091906
  4. Bloem BR, Bhatia KP. Gait and balance in basal ganglia disorders. In: Bronstein A, Brandt T, Woollacott MH, Nutt JG, editors. Clinical disorders of balance, posture and gait. 2nd ed. London: Arnold; 2004. p. 173-206.
  5. van Wensen E, van Leeuwen RB, van der Zaag-Loonen HJ, Masius-Olthof S, Bloem BR. Benign paroxysmal positional vertigo in Parkinson's disease. Parkinsonism Relat Disord 2013;19:1110-2. https://doi.org/10.1016/j.parkreldis.2013.07.024
  6. Pasman EP, Murnaghan CD, Bloem BR, Carpenter MG. Balance problems with Parkinson's disease: are they anxiety-dependent? Neuroscience 2011;177:283-91. https://doi.org/10.1016/j.neuroscience.2010.12.050
  7. Yilmaz LC, Tunc T, Inan LE. The causes of dizziness in Parkinson's disease. Int J Clin Med 2014;5:667-73. https://doi.org/10.4236/ijcm.2014.512092
  8. Venhovens J, Meulstee J, Bloem BR, Verhagen WI. Neurovestibular analysis and falls in Parkinson's disease and atypical parkinsonism. Eur J Neurosci 2016;43:1636-46. https://doi.org/10.1111/ejn.13253
  9. Park J, Koh SB, Kim HJ, Oh E, Kim JS, Yun JY, et al. Validity and reliability study of the Korean Tinetti mobility test for Parkinson's disease. J Mov Disord 2018;11:24-9. https://doi.org/10.14802/jmd.17058
  10. Forjaz MJ. How to evaluate validation data. In: Sampaio C, Goetz CG, Schrag A, editors. Rating scales in Parkinson's disease: clinical practice and research. New York: Oxford University Press; 2012. p.16-41.
  11. Cappelleri JC, Jason Lundy J, Hays RD. Overview of classical test theory and item response theory for the quantitative assessment of items in developing patient-reported outcomes measures. Clin Ther 2014;36:648-62. https://doi.org/10.1016/j.clinthera.2014.04.006
  12. da Rocha NS, Chachamovich E, de Almeida Fleck MP, Tennant A. An introduction to Rasch analysis for psychiatric practice and research. J Psychiatr Res 2013;47:141-8. https://doi.org/10.1016/j.jpsychires.2012.09.014
  13. Forjaz MJ, Martinez-Martin P, Dujardin K, Marsh L, Richard IH, Starkstein SE, et al. Rasch analysis of anxiety scales in Parkinson's disease. J Psychosom Res 2013;74:414-9. https://doi.org/10.1016/j.jpsychores.2013.02.009
  14. Hagell P, Whalley D, McKenna SP, Lindvall O. Health status measurement in Parkinson's disease: validity of the PDQ-39 and Nottingham Health Profile. Mov Disord 2003;18:773-83. https://doi.org/10.1002/mds.10438
  15. Kletzel SL, Hernandez JM, Miskiel EF, Mallinson T, Pape TL. Evaluating the performance of the Montreal Cognitive Assessment in early stage Parkinson's disease. Parkinsonism Relat Disord 2017;37:58-64. https://doi.org/10.1016/j.parkreldis.2017.01.012
  16. Tesio L, Alpini D, Cesarani A, Perucca L. Short form of the Dizziness Handicap Inventory: construction and validation through Rasch analysis. Am J Phys Med Rehabil 1999;78:233-41. https://doi.org/10.1097/00002060-199905000-00009
  17. Armstrong D, Alderson AJ, Davey CJ, Elliott DB. Development and validation of the vision-related dizziness questionnaire. Front Neurol 2018;9:379. https://doi.org/10.3389/fneur.2018.00379
  18. Mueller M, Whitney SL, Alghwiri A, Alshebber K, Strobl R, Alghadir A, et al. Subscales of the vestibular activities and participation questionnaire could be applied across cultures. J Clin Epidemiol 2015;68:211-9. https://doi.org/10.1016/j.jclinepi.2014.10.004
  19. Stewart V, Mendis MD, Rowland J, Choy NL. Construction and validation of the vestibular screening tool for use in the emergency department and acute hospital setting. Arch Phys Med Rehabil 2015;96:2153-60. https://doi.org/10.1016/j.apmr.2015.08.413
  20. La Porta F, Giordano A, Caselli S, Foti C, Franchignoni F. Is the Berg Balance Scale an effective tool for the measurement of early postural control impairments in patients with Parkinson's disease? Evidence from Rasch analysis. Eur J Phys Rehabil Med 2015;51:705-16.
  21. Jacobson GP, Newman CW. The development of the Dizziness Handicap Inventory. Arch Otolaryngol Head Neck Surg 1990;116:424-7. https://doi.org/10.1001/archotol.1990.01870040046011
  22. Han GC, Lee EJ, Lee JH, Park SN, Lee HY, Jeon EJ, et al. The study of standardization for a Korean adaptation of self-report measures of dizziness. J Korean Bal Soc 2004;3:307-25.
  23. Kim JY, Song IU, Koh SB, Ahn TB, Kim SJ, Cheon SM, et al. Validation of the Korean Version of the Scale for Outcomes in Parkinson's Disease-Autonomic. J Mov Disord 2017;10:29-34. https://doi.org/10.14802/jmd.16057
  24. Linacre JM. Optimizing rating scale category effectiveness. J Appl Meas 2002;3:85-106.
  25. Andrich D. A rating formulation for ordered response categories. Psychometrica 1978;43:561-73. https://doi.org/10.1007/BF02293814
  26. Ardic FN, Tumkaya F, Akdag B, Senol H. The subscales and short forms of the dizziness handicap inventory: are they useful for comparison of the patient groups? Disabil Rehabil 2017;39:2119-22. https://doi.org/10.1080/09638288.2016.1219923
  27. Dissanayaka NN, Torbey E, Pachana NA. Anxiety rating scales in Parkinson's disease: a critical review updating recent literature. Int Psychogeriatr 2015;27:1777-84. https://doi.org/10.1017/S1041610215000885
  28. Krosnick JA, Fabrigar LR. Designing rating scales for effective measurement in surveys. In: Lyberg L, Biemer P, Collins M, de Leeuw E, Dippo C, Schwarz N, et al., editors. Survey measurement and process quality. New York: Wiley;1997. p. 141-64.
  29. Chung H. The Rasch model: An alternative method for analyzing ordinal data. J Coaching Dev 2005;7:133-41.

Cited by

  1. Dizziness in patients with early stages of Parkinson's disease: Prevalence, clinical characteristics and implications vol.20, pp.5, 2018, https://doi.org/10.1111/ggi.13894