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The first stage of developing preference-based measures: constructing a health-state classification using Rasch analysis

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Abstract

Objective

To set out the methodological process for using Rasch analysis alongside classical psychometric methods in the development of a health-state classification that is amenable to valuation.

Methods

The overactive bladder questionnaire is used to illustrate a five step process for deriving a reduced health-state classification from an existing non-preference-based health-related quality-of-life instrument. Step I uses factor analysis to establish instrument dimensions, step II excludes items that do not meet the initial validation process and step III uses criteria based on Rasch analysis and other psychometric testing to select the final items for the health-state classification. In step IV, item levels are examined and Rasch analysis is used to explore the possibility of reducing the number of item levels. Step V repeats steps I–IV on alternative data sets in order to validate the selection of items for the health-state classification.

Results

The techniques described enable the construction of a five-dimension health-state classification, the OAB-5D, amenable to valuation tasks that will allow the derivation of preference weights.

Conclusions

The health-related quality of life of patients with conditions like overactive bladder can be valued and quality adjustment weights estimated for calculation of quality-adjusted life years.

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Abbreviations

DIF:

Differential item functioning

HRQL:

Health-related quality of life

Non-PBM:

Non-preference-based measure

MAUT:

Multiatribute utility theory

OAB:

Overactive bladder syndrome

OAB-q:

Overactive bladder questionnaire

PBM:

Preference-based measure

PSI:

Person separation index

QALY:

Quality-adjusted life years

SG:

Standard gamble

SRM:

Standardised response mean

TTO:

Time-trade off

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Acknowledgments

This study is funded by Pfizer Inc. John Brazier is funded by the Medical Research Council Health Service Research Collaboration. Zoe Kopp provided advice throughout the study. The Trial I and Trial II datasets were provided by Pfizer Inc. The usual disclaimer applies.

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Correspondence to Tracey Young.

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Young, T., Yang, Y., Brazier, J.E. et al. The first stage of developing preference-based measures: constructing a health-state classification using Rasch analysis. Qual Life Res 18, 253–265 (2009). https://doi.org/10.1007/s11136-008-9428-0

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