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- Title
Mapping the cancer-specific EORTC QLQ-C30 and EORTC QLQ-BR23 to the generic EQ-5D in metastatic breast cancer patients.
- Authors
Kim, Eun-ju; Ko, Su-Kyoung; Kang, Hye-Young
- Abstract
Purpose: To develop a mapping algorithm for a conversion of the EORTC QLQ-C30 and EORTC QLQ BR-23 into the EQ-5D-derived utilities in metastatic breast cancer (MBC) patients. Methods: We enrolled 199 patients with MBC from four leading Korean hospitals in 2009. EQ-5D utility, cancer-specific (QLQ-C30) and breast cancer-specific quality of life data (QLQ-BR23) and selected clinical and demographic information were collected from the study participants. Ordinary least squares regression models were used to model the EQ-5D using QLQ-C30 and QLQ-BR23 scale scores. To select the best model specification, six different sets of explanatory variables were compared. Result: Regression analysis with the multiitem scale scores of QLQ-C30 was the best-performing model, explaining for 48.7% of the observed EQ-5D variation. Its mean absolute error between the observed and predicted EQ-5D utilities (0.092) and relative prediction error (2.784%) was among the smallest. Also, this mapping model showed the least systematic errors according to disease severity. Conclusions: The mapping algorithms developed have good predictive validity, and therefore, they enable researchers to translate cancer-specific health-related quality of life measures to the preference-adjusted health status of MBC patients.
- Subjects
GENE mapping; METASTASIS; BREAST cancer; QUALITY of life; REGRESSION analysis; ALGORITHMS
- Publication
Quality of Life Research, 2012, Vol 21, Issue 7, p1193
- ISSN
0962-9343
- Publication type
Article
- DOI
10.1007/s11136-011-0037-y