Clustering Rasch results: A novel method for developing rheumatoid arthritis states for use in valuation studies

Value in Health

Volumn 13, Issue 6, 2010, Pages 787-795

  McTaggart Cowan, Helen M ^a   Brazier, John E ^a   Tsuchiya, Aki ^a  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

cluster analysis; health state; quality of life; Rasch analysis; rheumatoid arthritis

Indexed keywords

ADOLESCENT; ADULT; AGED; ARTICLE; CLUSTER ANALYSIS; DISABILITY; DISEASE SEVERITY; FEMALE; HEALTH ASSESSMENT QUESTIONNAIRE; HEALTH STATUS; HUMAN; MAJOR CLINICAL STUDY; MALE; PAIN; PRIORITY JOURNAL; RASCH ANALYSIS; RHEUMATOID ARTHRITIS;

EID: 77956386199     PISSN: 10983015     EISSN: 15244733     Source Type: Journal    
DOI: 10.1111/j.1524-4733.2010.00757.x     Document Type: Article

References (29)

1. National Institute for Health and Clinical Excellence. Guide to the Methods of Technology Appraisal. London : National Institute for Health and Clinical Excellence, 2008.
2. Gold MR, Siegal JE, Russell LB, et al. Cost-Effectiveness in Health and Medicine. Oxford : Oxford University Press, 1996.
3. Ubel PA, Loewenstein G, Jepson C. Whose quality of life? A commentary exploring discrepancies between health state evaluations of patients and the general public. Qual Life Res 2003 12 : 599 607.
4. Brazier J, Akehurst R, Brennan A, et al. Should patients have a greater role in valuing health states? Appl Health Econ Health Policy 2005 4 : 201 208.
5. Rasch G. Probabilistic Models for Some Intelligence and Attainment Tests. Chicago : University of Chicago Press, 1960.
6. Tesio L. Measuring behaviours and perceptions: Rasch analysis as a tool for rehabilitation research. J Rehabil Med 2003 35 : 105 115.
7. Tennent A, McKenna SP, Hagell P. Application of Rasch analysis in the development and application of quality of life instruments. Value Health 2004 7 (Suppl. 1 S22 6.
8. Young T, Yang Y, Brazier J, et al. The use of Rasch analysis as a tool in the construction of preference-based measures: the case of AQLQ. Discussion paper 07/01. Sheffield: Health Economics and Decision Science, 2007. Available from: http://www.shef.ac.uk/content/1/c6/01/87/47/HEDS%20DP%200701.pdf [Accessed May 24, 2010].
9. Young T, Yang Y, Brazier JE, et al. The first stage of developing preference-based measures: constructing a health-state classification using Rasch analysis. Qual Life Res 2009 18 : 252 265.
10. Sugar CA, Sturm R, Lee TL, et al. Empirically defined health states for depression from the SF-12. Health Serv Res 1998 33 : 911 928.
11. Sugar CA, James GM, Lenert LA, et al. Discrete state analysis for interpretation of data from clinical trials. Med Care 2004 42 : 183 196.
12. James GM, Sugar CA, Desai R, et al. A comparison of outcomes among patients with schizophrenia in two mental health systems: a health state approach. Schizophr Res 2006 86 : 309 320.
13. Fries JF, Spitz P, Kraines G, et al. Measurement of patient outcome in arthritis. Arthritis Rheum 1980 23 : 137 145.
14. Brooks R. EuroQol: the current state of play. Health Policy 1996 31 : 53 72.
15. Symmons DPM. Looking back: rheumatoid arthritis - aetiology, occurrence and mortality. Rheumatology 2005 44 (Suppl. 4 iv14 17.
16. Bruce B, Fries JF. The Stanford Health Assessment Questionnaire: a review of its history, issues, progress, and documentation. J Rheumatol 2003 30 : 167 178.
17. Marra CA, Woolcott JC, Kopec JA, et al. A comparison of generic, indirect utility measures (the HUI2, HUI3, SF-6D, and the EQ-5D) and disease-specific instruments (the RAQoL and the HAQ) in rheumatoid arthritis. Soc Sci Med 2005 60 : 1571 1582.
18. Marra CA, Rashidi AA, Guh D, et al. Are indirect utility measures reliable and responsive in rheumatoid arthritis patients? Qual Life Res 2005 14 : 1333 1344.
19. Wolfe F, Michaud K, Pincus T. Development and validation of the Health Assessment Questionnaire II. A revised version of the Health Assessment Questionnaire. Arthritis Rheum 2004 50 : 3296 3305.
20. Uprichard S, Kupshik G, Pine K, et al. Dynamic assessment of learning ability improves outcome prediction following acquired brain injury. Brain Inj 2009 23 : 278 290.
21. Lundström M, Pesudovs K. Catequest-9SF patient outcomes questionnaire: nine-item short-form Rasch-scaled revision of the Catquest questionnaire. J Cataract Refract Surg 2009 35 : 504 513.
22. National Data Bank for Rheumatic Diseases. NDB frequently asked questions [Online]. n.d. Available from: http://www.arthritis-research.org/ndb-faq.htm [Accessed November 15, 2007 A, Hillman M, Fear J, et al. Are we making the most of the Stanford Health Assessment Questionnaire? Br J Rheumatol 1996 35 : 574 578.
23. Yang Y, Tsuchiya A, Brazier J, et al. Estimating a preference-based single index from the Asthma Quality of Life Questionnaire (AQLQ). Discussion paper 07/02. Sheffield: Health Economics and Decision Science, 2007.
24. Streiner D, Norman G. Measurement Scales. Oxford : Oxford University Press, 1989.
25. Rasch Unidimensional Measurement Models (RUMM) 2020 ©. RUMM Laboratory Pty Ltd 1994-2004. 2003.
26. Kubinger KD. Psychological test calibration using Rasch model - some critical suggestions on traditional approach. Int J Test 2005 5 : 377 394.
27. Sugar C, James G. Finding the number of clusters in a dataset. J Am Stat Assoc 2003 98 : 750 763.
28. SPSS for Windows. Release. 14.0.01. 2005. Chicago : SPSS Inc., 2005.
29. McTaggart-Cowan H, Brazier J, Tsuchiya A. Combining Rasch and cluster analyses: a novel method for developing rheumatoid arthritis states for use in valuation studies. Discussion paper 08/15. Sheffield: Health Economics and Decision Science, 2008. Available from: http://www.shef.ac.uk/content/1/c6/01/ 87/47/HEDS%20DP%200815.pdf [Accessed May 24, 2010 ].