Measuring breast cancer-specific health-related quality of life in South Asia: psychometric properties of the Sinhala version of the EORTC QLQ-BR23
- 151 Downloads
To evaluate the psychometric properties of the Sinhala version of the breast cancer-specific health-related quality of life (HRQL) module of the European Organization for Research and Treatment of Cancer (QLQ-BR23).
Psychometric testing assessed the hypothesized scale structure, internal consistency, construct validity and acceptability of the Sinhala version of the QLQ-BR23 in a consecutive series of 356 newly diagnosed breast cancer patients recruited from tertiary care oncology treatment centres in Sri Lanka.
Compliance and self-completion rates were high (98% and 88%, respectively), and missing data low (0.06%). Multitrait scaling confirmed the scale structure of the QLQ-BR23 with excellent item convergence (95%), item discrimination (99%), and scaling success (99%) rates. The Cronbach’s alpha coefficients of the scales for internal consistency reliability ranged from 0.68 to 0.93. Construct validity was confirmed with satisfactory results for interscale correlations and known-groups comparisons. QLQ-BR23 item-scale correlations met or exceeded the convergent validity criterion of 0.40 for all but one item. QLQ-BR23 interscale correlations met this criterion for three comparisons and for five comparisons with conceptually related QLQ-C30 scales. Correlations between QLQ-BR23 scales and QLQ-C30 functional scales were lower as expected. As expected, most dimensions of the QLQ-BR23 were able to discriminate clearly between pretreatment and current treatment patients.
Overall psychometric results for the Sinhala version of the QLQ-BR23 confirmed it as a reliable and valid questionnaire for assessing breast cancer-specific HRQL in Sri Lanka.
KeywordsBreast cancer EORTC QLQ-BR23 Psychometrics Health-related quality of life
The study was funded by the World Health Organization Country Office for Sri Lanka through Agreement for Performance of Work No SE/SRL OSD 001/RB 04/EC 1/P1/A2.
- 1.Sloan, F. A., & Gelband, H. (Eds.) (2006). Cancer control opportunities in low- and middle-income countries. Washington DC: The National Academies.Google Scholar
- 2.National Cancer Control Programme. (2006). Cancer incidence data: Sri Lanka 2000, cancer registry. Maharagama: National Cancer Control Programme.Google Scholar
- 3.Sprangers, M. A. G., Groenvold, M., Arraras, J. I., et al. (1996). The European Organisation for Research and Treatment of Cancer Breast Cancer-Specific Quality-of-Life Questionnaire Module: First results from a three-country field study. Journal of Clinical Oncology, 14(10), 2756–2768.PubMedGoogle Scholar
- 4.Jayasekara, H. D. M. H., & Rajapaksa, L. C. (2006). An assessment of quality-of-life and satisfaction with care in patients diagnosed with some common cancers. Thesis, Postgraduate Institute of Medicine, University of Colombo.Google Scholar
- 5.Cull, A., Sprangers, M., Bjordal, K., Aaronson, N., West, K., & Bottomley, A. on behalf of the European Organisation for Research and Treatment of Cancer Quality of Life Study Group. (2002). EORTC quality of life group translation procedure (2nd ed.). Brussels: EORTC.Google Scholar
- 6.World Health Organization (WHO). (1992). International statistical classification of diseases and related health problems (10th revision). Geneva: WHO.Google Scholar
- 7.Tabachnik, B. J., & Fidel, L. S. (1993). Using multivariate statistics. London: Harper & Row.Google Scholar
- 8.Aaronson, N. K., Ahmedzai, S., Bergman, B., et al. (1993). The European Organisation for Research and Treatment of Cancer QLQ-C30: A Quality-of-Life Instrument for use in International Clinical Trials in Oncology. Journal of the National Cancer Institute, 85, 365–376. doi: 10.1093/jnci/85.5.365.PubMedCrossRefGoogle Scholar
- 9.Fayers, P. M., Aaronson, N. K., Bjordal, K., Groenvold, M., Curran, D., & Bottomley, A., on behalf of the European Organisation for Research and Treatment of Cancer Quality of Life Study Group. (2001). The EORTC QLQ-C30 scoring manual (3rd ed.). Brussels: EORTC.Google Scholar
- 10.Nie, N. H., Hull, C. H., Jenkins, J. G., Steinbrenner, K., & Bent, D. H. (1975). Statistical package for social sciences (SPSS). (2nd ed.). New York: McGraw-Hill.Google Scholar
- 11.Hays, R. D., Hayashi, T., Carson, S., & Ware, J. E. (1988). User’s guide for the multitrait analysis program (MAP). Santa Monica, Carlifornia: Rand Corporation.Google Scholar
- 13.Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory. USA: McGraw-Hill.Google Scholar
- 14.Kerlinger, F. N. (1978). Foundations of behavioural research. New York: McGraw-Hill.Google Scholar
- 15.Young, T., De Haes, H., Curran, D., Fayers, P., Brandberg, Y., Vanvooden, V. & Bottomley, A., on behalf of the European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group and Quality of Life Unit. (2002). Guidelines for assessing quality of life in EORTC clinical trials (version 2). Brussels: EORTC.Google Scholar