Using disease specific QoL measures to predict generic QoL

Using disease specific QoL measures to predict generic QoL

Investigators

Pol, M. van der (HERU)

Summary

This study investigated the relationship between the EORTC QLQ C-30 and the EQ-5D. The former is a commonly used outcome measure in cancer patients whilst the latter is the most popular generic health instrument for use in economic evaluation. Regression analysis was used to establish the relationship between the two instruments and the performance of the model was assessed in terms of how well the responses to the EORTC QLQ C-30 predict the EQ-5D responses. The results showed that the model explaining EQ-5D values predicted well. All of the actual values were within the 95% confidence intervals of the predicted values. More importantly, predicted difference in QALYs between the arms of the trial was almost identical to the actual difference. It is concluded that there is potential to estimate EQ-5D values using responses to the disease specific EORTC QLQ C-30 measure of quality of life. Such potential implies that in studies which do not include generic measures, it might still be possible to estimate QALYs.

Contact

M van der Pol

Status

Complete

Publications

Pol, M. van der and McKenzie, L. Mapping the EORTC QLQ C-30 onto the EQ-5D instrument: the potential to estimate QALYs without generic preference data. Value in Health. 2009; 12(1): 167-171.

Presentations

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