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Validation of the Simplified Chinese Version of EORTC QLQ-C30 from the Measurements of Five Types of Inpatients with Cancer

Overview
Journal Ann Oncol
Publisher Elsevier
Specialty Oncology
Date 2008 Jul 26
PMID 18653703
Citations 58
Authors
Affiliations
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Abstract

Background: European Organization for Research and Treatment quality of life (QOL) questionnaire (QLQ-C30) has been used frequently and many language versions have been developed, including the simplified Chinese version. It is important to study psychometric properties of the simplified Chinese version from the clinical standpoint.

Patients And Methods: The simplified Chinese version of the QLQ-C30 was used in a longitudinal study of 600 patients with five types of cancer: lung, breast, head and neck, colorectal, and stomach. The psychometric properties of the scale were evaluated by indicators of validity and reliability coefficients such as Cronbach's alpha and Pearson's correlation coefficient r, standardized response mean (SRM), correlational analysis, t-tests, and structural equation models.

Results: Correlation and structural equation model analyses confirmed good construct validity with root mean square error of approximation 0.054, standardized root mean square residual 0.037, non-normed fit index 0.972, and comparative fit index 0.980. The alpha coefficients for all domains are >0.7 except for cognitive functioning (0.49). The test-retest reliability coefficients for most domains are >0.80 except for appetite loss (0.77) and diarrhea (0.75). The QOL score changes after treatments were of statistical significance with higher or moderate SRM in most domains.

Conclusion: The simplified Chinese version of QLQ-C30 has good validity, reliability, and responsiveness and can be used to measure QOL for Chinese cancer patients.

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References
1.
van der Steeg A, de Vries J, Roukema J . Quality of life and health status in breast carcinoma. Eur J Surg Oncol. 2004; 30(10):1051-7. DOI: 10.1016/j.ejso.2004.07.003. View

2.
McLachlan S, Devins G, Goodwin P . Validation of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (QLQ-C30) as a measure of psychosocial function in breast cancer patients. Eur J Cancer. 1998; 34(4):510-7. DOI: 10.1016/s0959-8049(97)10076-4. View

3.
Yun Y, Park Y, Lee E, Bang S, Heo D, Park S . Validation of the Korean version of the EORTC QLQ-C30. Qual Life Res. 2004; 13(4):863-8. DOI: 10.1023/B:QURE.0000021692.81214.70. View

4.
Wan C, Yang Z, Meng Q, Feng C, Wang H, Tang X . Development and validation of the general module of the system of quality of life instruments for cancer patients. Int J Cancer. 2007; 122(1):190-6. DOI: 10.1002/ijc.23036. View

5.
Norman G, Stratford P, Regehr G . Methodological problems in the retrospective computation of responsiveness to change: the lesson of Cronbach. J Clin Epidemiol. 1997; 50(8):869-79. DOI: 10.1016/s0895-4356(97)00097-8. View