nach oben

Quality of Life Research

Erschienen in:

01.06.2013

An assessment of the external validity of mapping QLQ-C30 to EQ-5D preferences

verfasst von: Ralph Crott, Matthijs Versteegh, Carin Uyl-de-Groot

Erschienen in: Quality of Life Research | Ausgabe 5/2013

Einloggen, um Zugang zu erhalten

Abstract

Background

Although cancer-specific Health-related Quality-of-Life measures are commonly included in randomized clinical trials or other prospective non-randomized clinical studies, it is rare that preference-based instruments are used, which allow the calculation of a Utility weight suitable for estimating Quality-adjusted Life-Years gained.

Objective

To test the external validity of a previously published mapping algorithm to transform the EORTC QLQ-C30 questionnaire responses into EQ-5D-derived utilities by predicting EQ-5D utilities from QLQ-C30 scores.

Study design and methods

Comparative retrospective data analysis of four multicentre, prospective clinical trials in Breast, Multiple Myeloma, Non-Hodgkin Lymphoma and Non-Small-Cell Lung cancer patients with, respectively, 219, 172, 132 and 172 patients. Regression analysis of individual pairs of EQ-5D and QLQ-C30 scores.

Results

Although the internal predictive power of a previously published mapping equation was high, its external validity when tested on a set of unrelated external data sets in other cancers proved to underestimate both the mean and variance of the mapped EQ-5D utilities. Furthermore, it appears that the relationship between QLQ-C30 scores and EQ-5D values is not stable across the different data sets.

Conclusions

Validation of the proposed algorithm in other external clinical data sets should be encouraged as well as the application of other more complex mapping methods to enhance accuracy of mapping. In the meanwhile, direct mapping from QLQ-C30 profiles to EQ-5D utilities using published algorithms should be performed with reservations.

Note: Utilities were transformed to disutilities because this results in a right-skewed distribution bounded by zero at the left. This in fact only changes the sign of the coefficients in the regressions and the size of the constant.

OLS does not request a particular distribution of the dependent or independent variable. It does request, however, normality of the residuals with zero mean or more generally that “the mean of the distribution from which the disturbance term is drawn is zero” (Kennedy P, A Guide to Econometrics, 2003).

Note: No formal econometric structural test based on individual data, like the Chow test or Wald test, could be performed, as the individual patient data are residing in different institutions, and no pooled data set could be constructed due to patient data confidentiality and ownership constraints.

Crott, R., & Briggs, A. (2010). Mapping the QLQ-C30 quality of life cancer questionnaire to EQ-5D patient preferences. European Journal of Health Economics, 11(4), 427–434.PubMedCrossRef

Therasse, P., Mauriac, L., Welnicka-Jaskiewicz, M., Bruning, P., Cufer, T., Bonnefoi, H., et al. (2003). Final results of a randomized phase III trial comparing cyclophosphamide, epirubicin, and fluorouracil with a dose- intensified epirubicin and cyclophosphamide_filgrastim as neoadjuvant treatment in locally advanced breast cancer: An EORTC-NCIC-SAKK multicenter study. Journal of Clinical Oncology, 21(5), 843–850.

Lokhorst, H. M., Segeren, C. M., Verdonck, L. F., van der Holt, B., Raymakers, R., van Oers, M. H., et al. (2003). Dutch-Belgian hemato-oncology cooperative group. Partially T-cell-depleted allogeneic stem-cell transplantation for first-line treatment of multiple myeloma: a prospective evaluation of patients treated in the phase III study HOVON 24 MM. Journal of Clinical Oncology, 21(9), 1728–1733.PubMedCrossRef

Doorduijn, J. K., van der Holt, B., van Imhoff, G. W., van der Hem, K. G., Kramer, M. H., van Oers, M. H., et al. (2003). CHOP compared with CHOP plus granulocyte colony-stimulating factor in elderly patients with aggressive non-Hodgkin’s lymphoma. Journal of Clinical Oncology, 21(16), 3041–3050.PubMedCrossRef

Versteegh, M. M., Leunis, A., Luime, J. J., Boggild, M., Uyl-de Groot, C. A. & Stolk, E. A., et al. (2011). Mapping QLQ-C30, HAQ and MSIS-29 on EQ-5D, Medical Decision Making (published online November 22, 2011).

Jang, R., Isogai, P., Mittmann, N., et al. (2010). Derivation of utility values from European organization for research and treatment of cancer quality of life-core 30 questionnaire values in lung cancer. Journal of Thoracic Oncology, 5(12):1953–1957.

EORTC QLQC30 Scoring manual, EORTC, Brussels, Belgium. http://groups.eortc.be/qol/documentation_manuals.htm.

Szende, A., Oppe, M., Devlin, N. (Eds.) (2007). EQ-5D value sets: Inventory, comparative review and user guide (EuroQol Group Monographs) (Hardcover) Springer , The Netherlands. ISBN 978-1402055102.

Efficace, F., Therasse, P., Piccart, M. J., Coens, C., Van Steen, K., Welnicka-Jaskiewicz, M., et al. (2004). Health-related quality of life parameters as prognostic factors in a nonmetastatic breast cancer population: An international multicenter study. Journal of Clinical Oncology, 22(16), 3381–3388.

10.

Bottomley, A., Therasse, P., Piccart, M., Efficace, F., Coens, C., Gotay, C., et al. (2005). Health-related quality of life in survivors of locally advanced breast cancer: An international randomised controlled phase III trial. Lancet Oncology, 6, 287–294.PubMedCrossRef

11.

Dolan, P. (1997). Modeling valuations for EuroQol health states. Medical Care, 35(11), 1095–1108.PubMedCrossRef

12.

McKenzie, L., Van der Pol, M. (2009). Mapping the EORTC QLQC-30 onto the EQ-5D instrument: The potential to estimate QALY’s without generic preference data. Value in Health, 12(1), 167–171.

13.

Gray, A. M., Rivero-Arias, O., & Clarke, P. M. (2006). Estimating the association between SF-12 responses and EQ-5D utility values by response mapping. Medical Decision Making, 26, 18–29.PubMedCrossRef

14.

Brazier, J. E., Yang, Y., Tsuchiya, A., Rowen, D. L. (2009). A review of studies mapping (or cross walking) non-preference based measures of health to generic preference-based measures. European Journal of Health Economy. Published Online: 08 July 2009, doi:10.1007/s10198-009-0168-z.

15.

Chan Huang, I., Frangakis, C., Atkinson, M. J., Willke, R. J., Leite, W. L., Vogel, W. B. (2008). Addressing ceiling effects in health status measures: A comparison of techniques applied to measures for people with HIV disease. Health Services Research, 43(1 Pt 1), 327–339.

16.

Bharmal, M., Thomas, J., 3rd (2006). Comparing the EQ-5D and the SF-6D descriptive systems to assess their ceiling effects in the US general population. Value in Health, 9(4), 262–271.

17.

Burnham, K. P., & Anderson, D. R. (2004). Multimodel inference: Understanding AIC and BIC in model selection. Sociological Methods and Research, 33, 261–304.CrossRef

18.

McKenzie, L., & Van der Pol, M. (2009). Mapping the EORTC QLQ C-30 onto the EQ-5D instrument: The potential to estimate QALY’s without generic preference data. Value in Health, 12(1), 167–171.PubMedCrossRef

19.

Kontodimopoulos, N., Aletras, V. H., Paliouras, D., & Niakas, D. (2009). Mapping the cancer-specific EORTC QLQ-C30 to the preference-based EQ-5 D, SF-6 D, and 15 D instruments. Value in Health, 8, 1151–1157.CrossRef

20.

Jang, R. W. (2008). Derivation of utility values from EORTC QLQ-C30 values in lung cancer, ISPOR 2008, Toronto (Poster abstract PCN78). Value in Health, 11(3), A77.

21.

Hernández Alava, M., Wailoo, A. J., & Ara, R. Tails from the peak district: Adjusted censored mixture models of EQ-5D health state utility values. Health Economics & Decision Science, School of Health and Related Research, University of Sheffield, HEDS Discussion Paper 10/08, July 2010.

22.

Versteegh, M. M., Rowen, D., Brazier, J. E., & Stolk, E. A. (2010). Mapping onto Eq-5 D for patients in poor health, Health and Quality of Life Outcomes, 8, 141.

23.

Chay, K. Y., & Powell, J. L., Semiparametric censored regression models. Journal of Economic Perspectives, 15(4), 29–42.

24.

Sullivan, P., & Ghushchyan, V. (2006). Preference-based EQ-5D Index scores for chronic conditions in the United States. Medical Decision Making, 26, 410–420.PubMedCrossRef

25.

Karlsson, J. A., Nilsson, J. Å., Neovius, M., Kristensen, L. E., Gülfe, A., Saxne, T., et al. (2011). National EQ-5D tariffs and quality-adjusted life-year estimation: comparison of UK, US and Danish utilities in south Swedish rheumatoid arthritis patients. Annals of the Rheumatic Diseases, 70(12), 2163–2166.PubMedCrossRef

26.

Kim, U. (2009). Wittrup-Jensen, Jørgen Lauridsen, Claire Gudex, Generation of a Danish TTO value set for EQ-5D health states. Scandinavian Journal of Public Health, 37, 459–466.

27.

Greiner, W., Weijnen, T., Nieuwenhuizen, M., et al. (2003). A single European currency for EQ-5D health states. Results from a six country study. European Journal of Health Economy, 4(3), 222–231.CrossRef

28.

Cherepanov, D., Palta, M., Fryback, D. G., & Robert, S. A. (2010). Gender differences in health-related quality-of-life are partly explained by sociodemographic and socioeconomic variation between adult men and women in the US: Evidence from four US nationally representative data sets. Quality of Life Research, 19(8), 1115–1124.

Titel: An assessment of the external validity of mapping QLQ-C30 to EQ-5D preferences
verfasst von: Ralph Crott
Matthijs Versteegh
Carin Uyl-de-Groot
Publikationsdatum: 01.06.2013
Verlag: Springer Netherlands
Erschienen in: Quality of Life Research / Ausgabe 5/2013
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-012-0220-9

Springer Medizin

Abstract

Background

Objective

Study design and methods

Results

Conclusions

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 5/2013

Favorable effects of explanatory illustrations attached to a self-administered questionnaire for upper extremity disorders

Non-severe nocturnal hypoglycemic events: experience and impacts on patient functioning and well-being

Health-related quality of life of Greek adolescents: the role of the Mediterranean diet

Introducing the WHOQOL-SRPB BREF: developing a short-form instrument for assessing spiritual, religious and personal beliefs within quality of life

Usefulness of EQ-5D for evaluation of health-related quality of life in young adults with first-episode psychosis

Adaptation into Spanish of the Warwick–Edinburgh Mental Well-being Scale (WEMWBS) and preliminary validation in a student sample