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Related Experiment Video

Updated: May 30, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

Deriving a preference-based measure for cancer using the EORTC QLQ-C30.

Donna Rowen1, John Brazier, Tracey Young

  • 1Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, UK. d.rowen@sheffield.ac.uk

Value in Health : the Journal of the International Society for Pharmacoeconomics and Outcomes Research
|August 16, 2011
PubMed
Summary
This summary is machine-generated.

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A new preference-based measure derived from the European Organization for Research and Treatment of Cancer Core Quality of Life Questionnaire (EORTC QLQ-C30) can now be used for cancer economic evaluations. This tool incorporates patient preferences for health states.

Area of Science:

  • Health Economics
  • Psychometrics
  • Oncology

Background:

  • The European Organization for Research and Treatment of Cancer Core Quality of Life Questionnaire (EORTC QLQ-C30) is widely used in cancer care.
  • The current EORTC QLQ-C30 lacks preference-based data, limiting its use in economic evaluations.
  • A need exists for a preference-based measure derived from the EORTC QLQ-C30 for health economic assessments.

Purpose of the Study:

  • To develop a preference-based measure for cancer using the EORTC QLQ-C30.
  • To address the gap in incorporating patient preferences into cancer economic evaluations.

Main Methods:

  • Psychometric analyses (factor analysis, Rasch analysis) on a dataset of 655 multiple myeloma patients to create a health state classification system.
  • A valuation study with 350 UK general population members using time trade-off.

Related Experiment Videos

Last Updated: May 30, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

  • Multivariate regression models to derive preference weights for the classification system.

    • Main Results:

    • A health state classification system with eight dimensions and four or five levels per dimension was developed.
    • Regression models showed minimal inconsistencies in preference weights (0-2) and small mean absolute errors (0.046-0.054).

    Conclusions:

    • Deriving a preference-based measure from the EORTC QLQ-C30 for economic evaluation is feasible.
    • Future research should validate this measure in other countries and patient groups.