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Published in: Health and Quality of Life Outcomes 1/2011

Open Access 01-12-2011 | Research

The ability of cancer-specific and generic preference-based instruments to discriminate across clinical and self-reported measures of cancer severities

Authors: Paulos Teckle, Stuart Peacock, Helen McTaggart-Cowan, Kim van der Hoek, Stephen Chia, Barb Melosky, Karen Gelmon

Published in: Health and Quality of Life Outcomes | Issue 1/2011

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Abstract

Objective

To evaluate the validity of cancer-specific and generic preference-based instruments to discriminate across different measures of cancer severities.

Methods

Patients with breast (n = 66), colorectal (n = 57), and lung (n = 61) cancer completed the EORTC QLQ-C30 and the FACT-G, as well as three generic instruments: the EQ-5D, the SF-6D, and the HUI2/3. Disease severity was quantified using cancer stage, Eastern Cooperative Oncology Group Performance Status (ECOG-PS) score, and self-reported health status. Comparative analyses confirmed the multi-dimensional conceptualization of the instruments in terms of construct and convergent validity.

Results

In general, the instruments were able to discriminate across severity measures. The instruments demonstrated moderate to strong correlation with each other (r = 0.37-0.73). Not all of the measures could discriminate between different groups of disease severity: the EQ-5D and SF-6D were less discriminative than the HUI2/3 and the cancer-specific instruments.

Conclusion

The cancer-specific and generic preference-based instruments demonstrated to be valid in discriminating across levels of ECOG-PS scores and self-reported health states. However, the usefulness of the generic instruments may be limited if they are not able to detect small changes in health status within cancer patients. This raises concerns regarding the appropriateness of these instruments when comparing different cancer treatments within an economic evaluation framework.
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Metadata
Title
The ability of cancer-specific and generic preference-based instruments to discriminate across clinical and self-reported measures of cancer severities
Authors
Paulos Teckle
Stuart Peacock
Helen McTaggart-Cowan
Kim van der Hoek
Stephen Chia
Barb Melosky
Karen Gelmon
Publication date
01-12-2011
Publisher
BioMed Central
Published in
Health and Quality of Life Outcomes / Issue 1/2011
Electronic ISSN: 1477-7525
DOI
https://doi.org/10.1186/1477-7525-9-106

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