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

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.

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: MPRA Paper
• Language: English
• Keywords: health state; Rasch analysis; cluster analysis; quality of life; rheumatoid arthritis
• Subjects: I - Health, Education, and Welfare > I3 - Welfare, Well-Being, and Poverty > I31 - General Welfare, Well-Being; I - Health, Education, and Welfare > I1 - Health > I19 - Other

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