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QLU-C10D: a health state classification system for a multi-attribute utility measure based on the EORTC QLQ-C30.
M T King1,2, D S J Costa3, N K Aaronson4
1Psycho-Oncology Cooperative Research Group (PoCoG), School of Psychology, Faculty of Science, University of Sydney, Sydney, NSW, Australia. madeleine.king@sydney.edu.au.
A new health state classification system (HSCS) was developed from the EORTC QLQ-C30 questionnaire. This system, the QLU-C10D, will form the basis for a multi-attribute utility instrument to measure cancer patient quality of life.
Area of Science:
- Oncology
- Psychometrics
- Health Economics
Background:
- Quality of life (QOL) is a critical aspect of cancer care.
- Existing QOL instruments need to be adapted for utility measurement.
- The EORTC QLQ-C30 is a widely used cancer-specific QOL questionnaire.
Purpose of the Study:
- To derive a health state classification system (HSCS) from the EORTC QLQ-C30.
- To establish a basis for a multi-attribute utility instrument for cancer patients.
Main Methods:
- A conceptual model based on the QLQ-C30 domain structure.
- Secondary analysis of pooled HRQOL and clinical data from 2616 patients.
- Confirmatory factor analysis (CFA) and Rasch analysis for psychometric evaluation.
- Patient input and expert opinion for item selection.
Main Results:
- CFA confirmed the conceptual model's robustness and generalizability.
- 12 items representing 10 dimensions were selected for the HSCS.
- Selected dimensions include physical functioning, pain, fatigue, and emotional functioning.
Conclusions:
- The derived HSCS is named the EORTC Quality of Life Utility Measure-Core 10 dimensions (QLU-C10D).
- The QLU-C10D is intended for use in multi-attribute utility measurement.
- Global valuation studies are planned to further develop the QLU-C10D.
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