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Published in: The European Journal of Health Economics 4/2010

01-08-2010 | Original Paper

Mapping the QLQ-C30 quality of life cancer questionnaire to EQ-5D patient preferences

Authors: Ralph Crott, Andrew Briggs

Published in: The European Journal of Health Economics | Issue 4/2010

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Abstract

Background

Although cancer-specific Health-Related Quality of Life (HRQOL) are commonly included in randomized clinical trials or other prospective non-randomized clinical studies, it is rare that preference-based instruments are used that allow the calculation of a utility weight suitable for estimating quality-adjusted life-years gained.

Objective

To develop a mapping algorithm to transform the EORTC QLQ-C30 questionnaire responses into EQ-5D derived utilities.

Study design

Retrospective data analysis of a multicentre, multicountry prospective clinical trial in breast cancer patients.

Methods

Regression analysis of individual pairs of EQ-5D and QLQ-C30 scores.

Results

A model that explained 80% of the variance was developed to estimate EQ-5D Utilities from QLQ-C30 scores at individual level. From this reliable group level means and deviations can be derived.

Conclusions

Mapping from QLQ-C30 scores to EQ-5D-derived utilities when only QLQ-C30 data are available has been shown to be possible with good accuracy. Validation of the proposed algorithm in other external clinical datasets should be encouraged.
Footnotes
1
Because we did not have access to the clinical data aside from the QOL data, it was not possible to further assess the responses by patients’ characteristics. However, in order to keep the practical application of the mapping algorithm across patient samples as general as possible, one does not want to include in the mapping equation any socio-demographic variables when considering mapping.
 
2
Utilities were transformed to Disutilities because this results in a right-skewed distribution bounded by zero on the left. This changes only the sign of the coefficients in the regressions.
 
3
The data provided to us were extracted from the cleaned and frozen clinical trial database from the EORTC, raising the suspicion of the existence of genuine outliers.
 
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Metadata
Title
Mapping the QLQ-C30 quality of life cancer questionnaire to EQ-5D patient preferences
Authors
Ralph Crott
Andrew Briggs
Publication date
01-08-2010
Publisher
Springer-Verlag
Published in
The European Journal of Health Economics / Issue 4/2010
Print ISSN: 1618-7598
Electronic ISSN: 1618-7601
DOI
https://doi.org/10.1007/s10198-010-0233-7

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