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Erschienen in: Quality of Life Research 12/2017

01.08.2017

Comparison of the EQ-5D-3L and the SF-6D (SF-12) contemporaneous utility scores in patients with cardiovascular disease

verfasst von: Sanjeewa Kularatna, Joshua Byrnes, Yih Kai Chan, Chantal F. Ski, Melinda Carrington, David Thompson, Simon Stewart, Paul A. Scuffham

Erschienen in: Quality of Life Research | Ausgabe 12/2017

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Abstract

Purpose

Multi-attribute utility instruments (MAUIs) are widely used to measure utility weights. This study sought to compare utility weights of two popular MAUIs, the EQ-5D-3L and the SF-6D, and inform researchers in the selection of generic MAUI for use with cardiovascular (CVD) patients.

Methods

Data were collected in the Young@Heart study, a randomised controlled trial of a nurse-led multidisciplinary home-based intervention compared to standard usual care. Participants (n = 598) completed the EQ-5D-3L and the SF-12v2, from which the SF-6D can be constructed, at baseline and at 24-month follow-up. This study examined discrimination, responsiveness, correlation and differences across the two instruments.

Results

Both MAUIs were able to discriminate between the NYHA severity classes and recorded similar changes between the two time points although only SF-6D differences were significant. Correlations between the dimensions of the two MAUIs were low. There were significant differences between the two instruments in mild conditions but they were similar in severe conditions. Substantial ceiling and floor effects were observed.

Conclusions

Our findings indicate that the EQ-5D and the SF-6D cover different spaces in health due to their classification systems. Both measures were capable of discriminating between severity groups and responsive to quality of life changes in the follow-up. It is recommended to use the EQ-5D-3L in severe and the SF-6D in mild CVD conditions.
Literatur
1.
Zurück zum Zitat National Institute for Health and Care Excellence (NICE). (2008). Guide to the methods of technology appraisal. London: NICE. National Institute for Health and Care Excellence (NICE). (2008). Guide to the methods of technology appraisal. London: NICE.
3.
Zurück zum Zitat Brazier, J., Roberts, J., & Deverill, M. (2002). The estimation of a preference-based measure of health from the SF-36. Journal of Health Economics, 21(2), 271–292.CrossRefPubMed Brazier, J., Roberts, J., & Deverill, M. (2002). The estimation of a preference-based measure of health from the SF-36. Journal of Health Economics, 21(2), 271–292.CrossRefPubMed
4.
Zurück zum Zitat Feeny, D., Furlong, W., Torrance, G. W., Goldsmith, C. H., Zhu, Z., DePauw, S., et al. (2002). Multiattribute and single-attribute utility functions for the health utilities index mark 3 system. Medical Care, 40(2), 113–128.CrossRefPubMed Feeny, D., Furlong, W., Torrance, G. W., Goldsmith, C. H., Zhu, Z., DePauw, S., et al. (2002). Multiattribute and single-attribute utility functions for the health utilities index mark 3 system. Medical Care, 40(2), 113–128.CrossRefPubMed
7.
Zurück zum Zitat Konerding, U., Moock, J., & Kohlmann, T. (2009). The classification systems of the EQ-5D, the HUI II and the SF-6D: what do they have in common? Quality of Life Research, 18(9), 1249–1261.CrossRefPubMed Konerding, U., Moock, J., & Kohlmann, T. (2009). The classification systems of the EQ-5D, the HUI II and the SF-6D: what do they have in common? Quality of Life Research, 18(9), 1249–1261.CrossRefPubMed
8.
Zurück zum Zitat McDonough, C. M., & Tosteson, A. N. (2007). Measuring preferences for cost-utility analysis: How choice of method may influence decision-making. Pharmacoeconomics, 25(2), 93–106.CrossRefPubMedPubMedCentral McDonough, C. M., & Tosteson, A. N. (2007). Measuring preferences for cost-utility analysis: How choice of method may influence decision-making. Pharmacoeconomics, 25(2), 93–106.CrossRefPubMedPubMedCentral
9.
Zurück zum Zitat Rabin, R., & de Charro, F. (2001). EQ-5D: A measure of health status from the EuroQol Group. Annals of Medicine, 33(5), 337–343.CrossRefPubMed Rabin, R., & de Charro, F. (2001). EQ-5D: A measure of health status from the EuroQol Group. Annals of Medicine, 33(5), 337–343.CrossRefPubMed
10.
Zurück zum Zitat Kularatna, S., Whitty, J. A., Johnson, N. W., Jayasinghe, R., & Scuffham, P. A. (2014). Valuing EQ-5D health states for Sri Lanka. Quality of Life Research, 24, 1785–1793.CrossRefPubMed Kularatna, S., Whitty, J. A., Johnson, N. W., Jayasinghe, R., & Scuffham, P. A. (2014). Valuing EQ-5D health states for Sri Lanka. Quality of Life Research, 24, 1785–1793.CrossRefPubMed
11.
Zurück zum Zitat Dolan, P. (1997). Modeling valuations for EuroQol health states. Medical Care, 35(11), 1095–1108.CrossRefPubMed Dolan, P. (1997). Modeling valuations for EuroQol health states. Medical Care, 35(11), 1095–1108.CrossRefPubMed
12.
Zurück zum Zitat Shaw, J., Johnson, J., & Coons, S. (2005). US valuation of the EQ-5D health states: development and testing of the D1 valuation model. Medical Care, 43(3), 203–220.CrossRefPubMed Shaw, J., Johnson, J., & Coons, S. (2005). US valuation of the EQ-5D health states: development and testing of the D1 valuation model. Medical Care, 43(3), 203–220.CrossRefPubMed
13.
Zurück zum Zitat Ramos-Goñi, J. M., Pinto-Prades, J. L., Oppe, M., Cabasés, J. M., Serrano-Aguilar, P., & Rivero-Arias, O. (2017). Valuation and modeling of EQ-5D-5L health states using a hybrid approach. Medical Care, 55(7), e51–e58.CrossRefPubMed Ramos-Goñi, J. M., Pinto-Prades, J. L., Oppe, M., Cabasés, J. M., Serrano-Aguilar, P., & Rivero-Arias, O. (2017). Valuation and modeling of EQ-5D-5L health states using a hybrid approach. Medical Care, 55(7), e51–e58.CrossRefPubMed
14.
Zurück zum Zitat Brazier, J. E., & Roberts, J. (2004). The estimation of a preference-based measure of health from the SF-12. Medical Care, 42(9), 851–859.CrossRefPubMed Brazier, J. E., & Roberts, J. (2004). The estimation of a preference-based measure of health from the SF-12. Medical Care, 42(9), 851–859.CrossRefPubMed
19.
Zurück zum Zitat Rowen, D., Young, T., Brazier, J., & Gaugris, S. (2012). Comparison of generic, condition-specific, and mapped health state utility values for multiple myeloma cancer. Value in Health, 15(8), 1059–1068.CrossRefPubMed Rowen, D., Young, T., Brazier, J., & Gaugris, S. (2012). Comparison of generic, condition-specific, and mapped health state utility values for multiple myeloma cancer. Value in Health, 15(8), 1059–1068.CrossRefPubMed
20.
Zurück zum Zitat Lamers, L. M., Bouwmans, C. A., van Straten, A., Donker, M. C., & Hakkaart, L. (2006). Comparison of EQ-5D and SF-6D utilities in mental health patients. Health Economics, 15(11), 1229–1236.CrossRefPubMed Lamers, L. M., Bouwmans, C. A., van Straten, A., Donker, M. C., & Hakkaart, L. (2006). Comparison of EQ-5D and SF-6D utilities in mental health patients. Health Economics, 15(11), 1229–1236.CrossRefPubMed
21.
Zurück zum Zitat Brazier, J., Roberts, J., Tsuchiya, A., & Busschbach, J. (2004). A comparison of the EQ-5D and SF-6D across seven patient groups. Health Economics, 13(9), 873–884.CrossRefPubMed Brazier, J., Roberts, J., Tsuchiya, A., & Busschbach, J. (2004). A comparison of the EQ-5D and SF-6D across seven patient groups. Health Economics, 13(9), 873–884.CrossRefPubMed
22.
Zurück zum Zitat Richardson, J., Iezzi, A., & Khan, M. A. (2015). Why do multi-attribute utility instruments produce different utilities: The relative importance of the descriptive systems, scale and ‘micro-utility’ effects. Quality of Life Research, 24(8), 2045–2053.CrossRefPubMedPubMedCentral Richardson, J., Iezzi, A., & Khan, M. A. (2015). Why do multi-attribute utility instruments produce different utilities: The relative importance of the descriptive systems, scale and ‘micro-utility’ effects. Quality of Life Research, 24(8), 2045–2053.CrossRefPubMedPubMedCentral
23.
Zurück zum Zitat Feeny, D., Spritzer, K., Hays, R. D., Liu, H., Ganiats, T. G., Kaplan, R. M., et al. (2012). Agreement about identifying patients who change over time: cautionary results in cataract and heart failure patients. Medical Decision Making: An International Journal of the Society for Medical Decision Making, 32(2), 273–286.CrossRef Feeny, D., Spritzer, K., Hays, R. D., Liu, H., Ganiats, T. G., Kaplan, R. M., et al. (2012). Agreement about identifying patients who change over time: cautionary results in cataract and heart failure patients. Medical Decision Making: An International Journal of the Society for Medical Decision Making, 32(2), 273–286.CrossRef
24.
Zurück zum Zitat van Stel, H. F., & Buskens, E. (2006). Comparison of the SF-6D and the EQ-5D in patients with coronary heart disease. Health and Quality of Life Outcomes, 4, 20.CrossRefPubMedPubMedCentral van Stel, H. F., & Buskens, E. (2006). Comparison of the SF-6D and the EQ-5D in patients with coronary heart disease. Health and Quality of Life Outcomes, 4, 20.CrossRefPubMedPubMedCentral
25.
Zurück zum Zitat Chan, Y.-K., Stewart, S., Calderone, A., Scuffham, P., Goldstein, S., & Carrington, M. J. (2012). Exploring the potential to remain “Young @ Heart”: Initial findings of a multi-centre, randomised study of nurse-led, home-based intervention in a hybrid health care system. International Journal of Cardiology, 154(1), 52–58.CrossRefPubMed Chan, Y.-K., Stewart, S., Calderone, A., Scuffham, P., Goldstein, S., & Carrington, M. J. (2012). Exploring the potential to remain “Young @ Heart”: Initial findings of a multi-centre, randomised study of nurse-led, home-based intervention in a hybrid health care system. International Journal of Cardiology, 154(1), 52–58.CrossRefPubMed
26.
Zurück zum Zitat Carrington, M. J., Chan, Y. K., Calderone, A., Scuffham, P. A., Esterman, A., Goldstein, S., et al. (2013). A multicenter, randomized trial of a nurse-led, home-based intervention for optimal secondary cardiac prevention suggests some benefits for men but not for women: the Young at Heart study. Circulation: Cardiovascular Quality of Outcomes, 6(4), 379–389. Carrington, M. J., Chan, Y. K., Calderone, A., Scuffham, P. A., Esterman, A., Goldstein, S., et al. (2013). A multicenter, randomized trial of a nurse-led, home-based intervention for optimal secondary cardiac prevention suggests some benefits for men but not for women: the Young at Heart study. Circulation: Cardiovascular Quality of Outcomes, 6(4), 379–389.
28.
Zurück zum Zitat Antes, G. (2010). The new CONSORT statement. BMJ: British Medical Journal, 340(7748), 666–667. Antes, G. (2010). The new CONSORT statement. BMJ: British Medical Journal, 340(7748), 666–667.
29.
Zurück zum Zitat Ramos-Goñi, J. M., & Rivero-Arias, O. (2011). eq5d: A command to calculate index values for the EQ-5D quality-of-life instrument. Stata Journal, 11(1), 120–125. Ramos-Goñi, J. M., & Rivero-Arias, O. (2011). eq5d: A command to calculate index values for the EQ-5D quality-of-life instrument. Stata Journal, 11(1), 120–125.
31.
Zurück zum Zitat Kularatna, S., Whitty, J. A., Johnson, N. W., Jayasinghe, R., & Scuffham, P. A. (2016). A comparison of health state utility values associated with oral potentially malignant disorders and oral cancer in Sri Lanka assessed using the EQ-5D-3 L and the EORTC-8D. Health Quality of Life Outcomes, 14, 101.CrossRefPubMedPubMedCentral Kularatna, S., Whitty, J. A., Johnson, N. W., Jayasinghe, R., & Scuffham, P. A. (2016). A comparison of health state utility values associated with oral potentially malignant disorders and oral cancer in Sri Lanka assessed using the EQ-5D-3 L and the EORTC-8D. Health Quality of Life Outcomes, 14, 101.CrossRefPubMedPubMedCentral
32.
Zurück zum Zitat Teckle, P., Peacock, S., McTaggart-Cowan, H., van der Hoek, K., Chia, S., Melosky, B., et al. (2011). The ability of cancer-specific and generic preference-based instruments to discriminate across clinical and self-reported measures of cancer severities. Health Quality of Life Outcomes, 9, 106.CrossRefPubMedPubMedCentral Teckle, P., Peacock, S., McTaggart-Cowan, H., van der Hoek, K., Chia, S., Melosky, B., et al. (2011). The ability of cancer-specific and generic preference-based instruments to discriminate across clinical and self-reported measures of cancer severities. Health Quality of Life Outcomes, 9, 106.CrossRefPubMedPubMedCentral
33.
Zurück zum Zitat Whitehurst, D. G. T., Bryan, S., & Lewis, M. (2011). Systematic review and empirical comparison of contemporaneous EQ-5D and SF-6D group mean scores. Medical Decision Making, 31(6), E34–E44.CrossRefPubMed Whitehurst, D. G. T., Bryan, S., & Lewis, M. (2011). Systematic review and empirical comparison of contemporaneous EQ-5D and SF-6D group mean scores. Medical Decision Making, 31(6), E34–E44.CrossRefPubMed
34.
Zurück zum Zitat Pickard, A. S., Johnson, J. A., & Feeny, D. H. (2005). Responsiveness of generic health-related quality of life measures in stroke. Quality of Life Research, 14(1), 207–219.CrossRefPubMed Pickard, A. S., Johnson, J. A., & Feeny, D. H. (2005). Responsiveness of generic health-related quality of life measures in stroke. Quality of Life Research, 14(1), 207–219.CrossRefPubMed
35.
Zurück zum Zitat Longworth, L., & Bryan, S. (2003). An empirical comparison of EQ-5D and SF-6D in liver transplant patients. Health Economics, 12(12), 1061–1067.CrossRefPubMed Longworth, L., & Bryan, S. (2003). An empirical comparison of EQ-5D and SF-6D in liver transplant patients. Health Economics, 12(12), 1061–1067.CrossRefPubMed
36.
Zurück zum Zitat Brazier, J., Rowen, D., Tsuchiya, A., Yang, Y., & Young, T. A. (2011). The impact of adding an extra dimension to a preference-based measure. Social Science and Medicine, 73(2), 245–253.CrossRefPubMedPubMedCentral Brazier, J., Rowen, D., Tsuchiya, A., Yang, Y., & Young, T. A. (2011). The impact of adding an extra dimension to a preference-based measure. Social Science and Medicine, 73(2), 245–253.CrossRefPubMedPubMedCentral
37.
Zurück zum Zitat National Institute for Health and Care Excellence (NICE). (2001). Technical guidance for manufacturers and sponsors on making a submission to a technology appraisal. London: NICE. National Institute for Health and Care Excellence (NICE). (2001). Technical guidance for manufacturers and sponsors on making a submission to a technology appraisal. London: NICE.
Metadaten
Titel
Comparison of the EQ-5D-3L and the SF-6D (SF-12) contemporaneous utility scores in patients with cardiovascular disease
verfasst von
Sanjeewa Kularatna
Joshua Byrnes
Yih Kai Chan
Chantal F. Ski
Melinda Carrington
David Thompson
Simon Stewart
Paul A. Scuffham
Publikationsdatum
01.08.2017
Verlag
Springer International Publishing
Erschienen in
Quality of Life Research / Ausgabe 12/2017
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-017-1666-6

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