EORTC QLU-C10D value sets for Austria, Italy, and Poland.

Objective: To develop Austrian, Italian, and Polish general population value sets for the EORTC QLU-C10D, a cancer-specific utility instrument based on the EORTC QLQ-C30, and to descriptively compare their index scores for distinct health states.Methods: The QLU-C10D descriptive system comprises 10...

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Publicado en:Quality of Life Research Vol. 29; no. 9; pp. 2485 - 2496
Autores principales: Gamper, E. M., King, M. T., Norman, R., Efficace, F., Cottone, F., Holzner, B., Kemmler, G.
Formato: research Journal Article
Publicado: Springer Nature Sep2020
Acceso en línea:Ver este registro en EBSCOhost
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Sumario:Objective: To develop Austrian, Italian, and Polish general population value sets for the EORTC QLU-C10D, a cancer-specific utility instrument based on the EORTC QLQ-C30, and to descriptively compare their index scores for distinct health states.Methods: The QLU-C10D descriptive system comprises 10 health attributes and each can take on 4 levels. A standardised and pre-tested methodology has been applied for valuations including a web-based discrete choice experiment (DCE). It was administered in 1000 general population respondents per country recruited via online panels, aiming at representativeness for core socio-demographic variables.Results: In all three countries, the attributes with the largest impact on utility were physical functioning, pain, and role functioning. Cancer-specific dimensions with the largest impact were nausea and fatigue or bowel problems. Utility values of the worst health state (i.e. severe problems on all 10 dimension) were -0.111 (Austria), 0.025 (Italy), and 0.048 (Poland). Country-specific utilities differed for a selection of health states across the continuum. Austrian utilities were systematically lower for moderately and severely impaired health states.Conclusion: QLU-C10D cancer-specific utilities can now be calculated in three more countries. Differences between countries indicate that careful consideration is required when using non-country-specific value sets in economic evaluations.