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

• DOI: 10.1007/s10198-010-0233-7
• Publication Date: 2010-05-15T02:23:10Z
• Authors: Ralph Crott; Andrew Briggs
• Keywords: Models, Statistical; Statistics as Topic; Breast Neoplasms; 3. Good health; 03 medical and health sciences; Models, Economic; Patient Satisfaction; Surveys and Questionnaires; Quality of Life; Health Status Indicators; Humans; Regression Analysis; Female; Prospective Studies; 0305 other medical science; Algorithms; Retrospective Studies

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.To develop a mapping algorithm to transform the EORTC QLQ-C30 questionnaire responses into EQ-5D derived utilities.Retrospective data analysis of a multicentre, multicountry prospective clinical trial in breast cancer patients.Regression analysis of individual pairs of EQ-5D and QLQ-C30 scores.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.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.