title: Mapping the QLQ-C30 quality of life cancer questionnaire to EQ-5D patient preferences.
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.
  
  
  METHODS
  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.
authors.affiliation: Academic Hospital St Luc, Catholic University of Louvain, 10 Avenue Hippocrate, Brussels, 1200, Belgium. rc653@york.ac.uk
authors.forename: Ralph
authors.initials: R
authors.lastname: Crott
authors.forename: Andrew
authors.initials: A
authors.lastname: Briggs
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000523:psychology*; D005260:Female; D006305:Health Status Indicators; D006801:Humans; D018803:Models, Economic; D015233:Models, Statistical; D017060:Patient Satisfaction / Q000706:statistics & numerical data*; D011446:Prospective Studies; D011788:Quality of Life / Q000523:psychology*; D012044:Regression Analysis; D012189:Retrospective Studies; D013223:Statistics as Topic; D011795:Surveys and Questionnaires
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