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

BackgroundAlthough 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.ObjectiveTo develop a mapping algorithm to transform the EORTC QLQ-C30 questionnaire responses into EQ-5D derived utilities.Study designRetrospective data analysis of a multicentre, multicountry prospective clinical trial in breast cancer patients.MethodsRegression analysis of individual pairs of EQ-5D and QLQ-C30 scores.ResultsA 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.ConclusionsMapping 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.

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