%0 Journal Article
%T The EORTC QLU
%A A. Simon Pickard
%A Daniel S. J. Costa
%A Dean A. Regier
%A Helen McTaggart-Cowan
%A Madeleine T. King
%A Richard Norman
%A Rosalie Viney
%A Stuart J. Peacock
%J MDM Policy & Practice
%@ 2381-4683
%D 2019
%R 10.1177/2381468319842532
%X Objective. The EORTC QLQ-C30 is widely used for assessing quality of life in cancer. However, QLQ-C30 responses cannot be incorporated in cost-utility analysis because they are not based on general population¡¯s preferences, or utilities. To overcome this limitation, the QLU-C10D, a cancer-specific utility algorithm, was derived from the QLQ-C30. The aim of this study was to obtain Canadian population utility weights for the QLU-C10D. Methods. Respondents from a Canadian research panel expressed their preferences for 16 choice sets in an online discrete choice experiment. Each choice set consisted of two health states described by the 10 QLU-C10D domains plus an attribute representing duration of survival. Using a conditional logit model, responses were converted into utility decrements by evaluating the marginal rate of substitution between each QLU-C10D domain level with respect to duration. Results. A total of 3,363 individuals were recruited. A total of 2,345 completed at least one choice set and 2,271 completed all choice sets. The largest utility decrements were associated with the worse levels of Physical Functioning (£¿0.24), Pain (£¿0.18), Role Functioning (£¿0.15), Emotional Functioning (£¿0.12), and Nausea (£¿0.12). The remaining domains and levels had decrements of £¿0.05 to £¿0.09. The utility of the worst possible health state was £¿0.15. Conclusion. Respondents from the general population were most concerned with generic health domains, but Nausea and Bowel Problems also had an impact on the individual¡¯s utility. It is unclear as to whether cancer-specific domains will affect cost-utility analysis when evaluating cancer treatments; this will be tested in the next phase of the study
%K cancer
%K discrete choice experiment
%K QLQ-C30
%K quality of life
%K utility
%U https://journals.sagepub.com/doi/full/10.1177/2381468319842532