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Combining Rasch and cluster analysis: a novel method for developing rheumatoid arthritis states for use in valuation studies

McTaggart-Cowan, H., Brazier, J. and Tsuchiya, A. (2008) Combining Rasch and cluster analysis: a novel method for developing rheumatoid arthritis states for use in valuation studies. Discussion Paper. (Unpublished)

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Abstract

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: Monograph (Discussion Paper)
Keywords: health state, Rasch analysis, cluster analysis, quality of life, rheumatoid arthritis
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Economics (Sheffield)
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > Health Economics and Decision Science > HEDS Discussion Paper Series
Depositing User: ScHARR / HEDS (Sheffield)
Date Deposited: 16 Jun 2010 08:26
Last Modified: 08 Feb 2013 17:00
Status: Unpublished
Identification Number: HEDS Discussion Paper 08/15
URI: http://eprints.whiterose.ac.uk/id/eprint/10894

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