McTaggart-Cowan, H and Brazier, J and Tsuchiya, A (2008): Combining Rasch and cluster analysis: a novel method for developing rheumatoid arthritis states for use in valuation studies.
Download (330kB) | Preview
Purpose: Health states that describe an investigated condition are a crucial component of valuation studies. The health states need to be distinct, comprehensible, and data-driven. The objective of this study was to describe a novel application of Rasch and cluster analyses in the development of three rheumatoid arthritis health states.
Methods: The Stanford Health Assessment Questionnaire (HAQ) was subjected to Rasch analysis to select the items that best represent disability. K-means cluster analysis produced health states with the levels of the selected items. The pain and discomfort domain from the EuroQol-5D was incorporated at the final stage.
Results: The results demonstrate a methodology for reducing a dataset containing individual disease-specific scores to generate health states. The four selected HAQ items were bending down, climbing steps, lifting a cup to your mouth, and standing up from a chair.
Conclusions: Overall, the combined use of Rasch and cluster analysis has proved to be an effective technique for identifying the most important items and levels for the construction of health states.
|Item Type:||MPRA Paper|
|Original Title:||Combining Rasch and cluster analysis: a novel method for developing rheumatoid arthritis states for use in valuation studies|
|Keywords:||health state; Rasch analysis; cluster analysis; quality of life; rheumatoid arthritis|
|Subjects:||I - Health, Education, and Welfare > I3 - Welfare and Poverty > I31 - General Welfare
I - Health, Education, and Welfare > I1 - Health > I19 - Other
|Depositing User:||Sarah McEvoy|
|Date Deposited:||24. Mar 2011 21:54|
|Last Modified:||19. Feb 2013 21:54|
Brooks, R. (1996). EuroQol: the current state of play. Health Policy, 37(1), 53-72.
Bruce B, Fries JF (2003). The Stanford Health Assessment Questionnaire: a review of its history, issues, progress, and documentation. Journal of Rheumatology 30:167-78.
de Jong Z, van der Heijde D, Mckenna SP, Whalley D (1997). The reliability and construct validity of the RAQoL: a Rheumatoid Arthritis-Specific Quality of Life instrument. British Journal of Rheumatology 36:878–83.
Fayers PM, Machin D (2000). Factor analysis. In: Quality of life: Assessment, analysis and interpretation. New Jersey: John Wiley and Sons, 90-116.
Fries JF, Spitz P, Kraines G, Holman H (1980). Measurement of patient outcome in arthritis. Arthritis and Rheumatism 23:137-45.
Marra CA, Woolcott JC, Kopec JA, Shojania K, Offer R, Brazier JE, Esdaile JM, Anis AH (2005). 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. Social Science and Medicine 60(7):1571-82.
Marra CA, Rashidi AA, Guh D, Kopec JA, Abrahamowicz M, Esdaile JM, Brazier JE, Fortin PR, Anis AH (2005). Are indirect utility measures reliable and responsive in rheumatoid arthritis patients? Quality of Life Research 14(5):1333-44.
National Data Bank for Rheumatic Diseases (n.d.). NDB frequently asked questions [online]. Available from URL: http://www.arthritis-research.org/ndb_faq.htm [Accessed: 15 November 2007].
National Institute for Clinical Excellence (2003). Guide to the methods of technology appraisal. London: National Institute for Clinical Excellence.
Rasch G (1960). Probabilistic models for some intelligence and attainment tests. Chicago: University of Chicago Press.
Shaw JW, Johnson JA, Coons SJ (2005). US valuation of the EQ-5D health states. Development and testing of the DI valuation model. Medical Care 43:203-20.
Streiner D, Norman G (1989). Measurement scales. Oxford: Oxford University Press.
Sugar CA, Sturm R, Lee TL, Sherbourne CD, Olshen RA, Wells KB, Lenert LA (1998). Empirically defined health states for depression from the SF-12. Health Services Research 33(4):911-28.
Symmons DPM (2005). Looking back: rheumatoid arthritis – aetiology, occurrence and mortality. Rheumatology 44(Suppl 4):iv14-iv17.
Tennant A, Hillman M, Fear J, Pickering A, Chamberlain MA (1996). Are we making the most of the Stanford Health Assessment Questionnaire? British Journal of Rheumatology 35:574-8.
Tennent A, McKenna SP, Hagell P (2004). Application of Rasch analysis in the development and application of quality of life instruments. Value in Health 7(Supplement 1):S22-S26.
Tesio L (2003). Measuring behaviours and perceptions: Rasch analysis as a tool for rehabilitation research. Journal of Rehabilitation Medicine 35(6):105-15.
Wolfe F, Michaud K, Pincus T (2004). Development and validation of the Health Assessment Questionnaire II. A revised version of the Health Assessment Questionnaire. Arthritis and Rheumatism 50(10):3296-305.
Young TA, Yang Y, Brazier J, Tsuchiya A (2007). The use of Rasch analysis as a tool in the construction of preference-based measure: the case of AQLQ. Discussion paper 07/01. Sheffield: Health Economics and Decision Science.
Young T, Yang Y, Brazier J, Tsuchiya A, Coyne K (2008). Making Rasch decisions: the use of Rasch analysis in the construction of preference based health related quality of life instruments. Discussion paper 08/05. Sheffield: Health Economics and Decision Science.
Yang Y, Tsuchiya A, Brazier J, Young TA (2007). Estimating a preference-based single index from the Asthma Quality of Life Questionnaire (AQLQ). Discussion paper 07/02. Sheffield: Health Economics and Decision Science.