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 (Unpublished)Full text available as:
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|
|Identification Number:||HEDS Discussion Paper 08/15|
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