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.
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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|
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