DOI QR코드

DOI QR Code

A Comparative Study of Oswestry Back Pain Disability Questionnaire Versus Computer Adaptive Testing for Measuring Back Pain

  • Choi, Bong-Sam (Dept. of Physical Therapy, College of Health and Welfare, Woosong University)
  • Received : 20130931
  • Accepted : 2013.11.06
  • Published : 2013.11.19

Abstract

The aim of the present study was to compare measurement precisions of the Oswestry Back Pain Disability Questionnaire (ODQ) and a computer adaptive testing (CAT) method. The ODQ has been regarded as one of the most reliable condition-specific measure for back pain for decades. Cross-sectional study was carried out with two independent convenient samples from two out-patient rehabilitation clinics for back pain ($n_1=42$) and non-back pain group ($n_2=42$). Participants were asked to fill out the ODQ and CAT of International Classification of Functioning, Disability and Health-Activity Measure (ICF-AM). A series of Rasch analyses were performed to calculate person ability measures. The CAT measures had greater relative precision in discriminating the groups than did the ODQ measure in comparisons of the relative precision. The CAT measure appears to be more effective than did the ODQ measure in terms of measurement precision. By administering test items calibrated in a way, CAT measures using item response theory may promise a means with measurement precision as well as efficiency.

Keywords

References

  1. Baker D, Pynsent PB, Fairbank JCT. The oswestry disability index revisited: Its reliability, repeatability, and validity, and a comparison with the st. thomas's disability index. In: Roland MO, Jenner JR eds. Back Pain: New approaches to rehabilitation and education. New York, Manchester University Press, 1989:174-186.
  2. Bjorner J, Ware Jr JE. Using modern psychometric methods to measure health outcomes. Med Outcome Trust Monitor. 1998;3:12-16.
  3. Davidson M. Rasch analysis of three versions of the oswestry disability questionnaire. Man Ther. 2008;13(3):222-231. https://doi.org/10.1016/j.math.2007.01.008
  4. Deyo RA, Battie M, Beurskens AJ, et al. Outcome measures for low back pain research. A proposal for standardized use. Spine (Phila Pa 1976). 1998;23(18):2003-2013. https://doi.org/10.1097/00007632-199809150-00018
  5. Elhan AH, Oztuna D, Kutlay S, et al. An initial application of computerized adaptive testing (CAT) for measuring disability in patients with low back pain. BMC Musculoskelet Disord. 2008;9: 166. https://doi.org/10.1186/1471-2474-9-166
  6. Flynn KE, Dombeck CB, DeWitt EM, et al. Using item banks to construct measures of patient reported outcomes in clinical trials: Investigator perceptions. Clin Trials. 2008;5(6):575-586. https://doi.org/10.1177/1740774508098414
  7. Haley SM, Gandek B, Siebens H, et al. Computerized adaptive testing for follow-up after discharge from inpatient rehabilitation: II. Participation outcomes. Arch Phys Med Rehabil. 2008;89(2): 275-283. https://doi.org/10.1016/j.apmr.2007.08.150
  8. Hart DL, Cook KF, Mioduski JE, et al. Simulated computerized adaptive test for patients with shoulder impairments was efficient and produced valid measures of function. J Clin Epidemiol. 2006;59(3):290-298. https://doi.org/10.1016/j.jclinepi.2005.08.006
  9. Hol A, Vorst HCM, Mellenbergh GJ. Computerized adaptive testing for polytomous motivation items: Administration mode effects and a comparison with short forms. Appl Psychol Meas. 2007;31(5):412-429. https://doi.org/10.1177/0146621606297314
  10. Fairbank JC. Revised oswestry disability questionnaire. Spine (Phila Pa 1976). 2000;25(19): 2552.
  11. Fairbank JC. The use of revised oswestry disability questionnaire. Spine (Phila Pa 1976). 2000;25(21): 2846-2847. https://doi.org/10.1097/00007632-200011010-00025
  12. Fairbank JC, Pynsent PB. The oswestry disability index. Spine (Phila Pa 1976). 2000;25 (22):2940-2952. https://doi.org/10.1097/00007632-200011150-00017
  13. Fairbank JC. Use and abuse of oswestry disability index. Spine (Phila Pa 1976). 2007;32(25):2787-2789. https://doi.org/10.1097/BRS.0b013e31815b9e9d
  14. Hambleton RK. Emergence of item response modeling in instrument development and data analysis. Med Care. 2000;38(9 Suppl):II60-II65.
  15. Haley SM, Andres PL, Coster WJ, et al. Short-form activity measure for post-acute care. Arch Phys Med Rehabil. 2004;85(4):649-660. https://doi.org/10.1016/j.apmr.2003.08.098
  16. Haley SM, Coster WJ, Andres PL, et al. Score comparability of short forms and computerized adaptive testing: Simulation study with the activity measure for post-acute care. Arch Phys Med Rehabil. 2004;85(4):661-666. https://doi.org/10.1016/j.apmr.2003.08.097
  17. Jette AM, Haley SM. Contemporary measurement techniques for rehabilitation outcomes assessment. J Rehabil Med. 2005;37(6):339-345. https://doi.org/10.1080/16501970500302793
  18. Jette AM, Haley SM, Ni P, et al. Creating a computer adaptive test version of the late-life function and disability instrument. J Gerontol A Biol Sci Med Sci. 2008;63(11):1246-1256. https://doi.org/10.1093/gerona/63.11.1246
  19. Kopec JA. Measuring functional outcomes in persons with back pain: A review of back-specific questionnaires. Spine (Phila Pa 1976). 2000;25 (24):3110-3114. https://doi.org/10.1097/00007632-200012150-00005
  20. Liang MH, Lew RA, Stucki G, et al. Measuring clinically important changes with patient-oriented questionnaires. Med Care. 2002;40(4 Suppl):II45-II51.
  21. Linacre JM. Winsteps rasch measurement computer program. Chicago, IL, winsteps.com, 2005:13-14.
  22. McHorney CA. Generic health measurement: Past accomplishments and a measurement paradigm for the 21st century. Ann Intern Med. 1997;127: 743-750. https://doi.org/10.7326/0003-4819-127-8_Part_2-199710151-00061
  23. McHorney CA, Haley SM, Ware JE Jr. Evaluation of the mos sf-36 physical functioning scale (pf-10): II. Comparison of relative precision using likert and rasch scoring methods. J Clin Epidemiol. 1997;50(4):451-461. https://doi.org/10.1016/S0895-4356(96)00424-6
  24. McHorney CA. Health status assessment methods for adults: Past accomplishments and future challenges. Annu Rev Public Health. 1999;20: 309-335. https://doi.org/10.1146/annurev.publhealth.20.1.309
  25. Muller U, Roder C, Greenough CG. Back related outcome assessment instruments. Eur Spine J 2006;15 Suppl 1:S25-S31. https://doi.org/10.1007/s00586-005-1054-8
  26. Netemeyer RG, Bearden WO, Sharma S. Scaling Procedures, Issues and Applications. 1st ed. Thousand Oaks, California, Sage Publications Inc., 2003:78-93.
  27. Taylor SJ, Taylor AE, Foy MA, et al. Responsiveness of common outcome measures for patients with low back pain. Spine (Phila Pa 1976). 1999;24(17):1805-1812. https://doi.org/10.1097/00007632-199909010-00010
  28. Velozo CA, Kielhofner G, Lai JS. The use of rasch analysis to produce scale-free measurement of functional ability. Am J Occup Ther. 1999;53(1): 83-90. https://doi.org/10.5014/ajot.53.1.83
  29. Velozo CA, Lai JS, Mallinson T, et al. Maintaining instrument quality while reducing items: Application of rasch analysis to a self-report of visual function. J Outcome Meas. 2000;4(3):667-680.
  30. Velozo CA, Peterson EW. Developing meaningful fear of falling measures for community dwelling elderly. Am J Phys Med Rehabil. 2001;80(9): 662-673. https://doi.org/10.1097/00002060-200109000-00006
  31. Velozo CA, Choi B, Zylstra SE, et al. Measurement qualities of a self-report and therapist-scored functional capacity instrument based on the dictionary of occupational titles. J Occup Rehabil. 2006;16(1):109-122.
  32. Velozo CA, Wang Y, Lehman L, et al. Utilizing rasch measurement models to develop a computer adaptive self-report of walking, climbing, and running. Disabil Rehabil. 2008;30(6):458-467. https://doi.org/10.1080/09638280701617317
  33. Ware JE Jr, Kosinski M, Bjorner JB, et al. Applications of computerized adaptive testing (CAT) to the assessment of headache impact. Qual Life Res. 2003;12(8):935-952. https://doi.org/10.1023/A:1026115230284
  34. Weiss D. Improving measurement quality and efficiency with adaptive testing. Appl Psychol Meas. 1982;6(4):473-492. https://doi.org/10.1177/014662168200600408
  35. 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