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21-12-2022

Developing an Australian utility value set for MacNew-7D health states

Auteurs: Sanjeewa Kularatna, Gang Chen, Richard Norman, Clara Mukuria, Donna Rowen, Sameera Senanayake, Ruvini Hettiarachchi, Brendan Mulhern, Katie Fozzard, William Parsonage, Steven M. MacPhail

Gepubliceerd in: Quality of Life Research | Uitgave 4/2023

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Abstract

Background

A new preference-based measure (MacNew-7D) has recently been developed to allow condition-specific data to be used to capture the quality of life in health economic evaluations in cardiology; however, a general population value set has not yet been developed. This study developed a population utility value set for the MacNew-7D heart disease-specific instrument.

Methods

The discrete choice experiments (DCE) technique was chosen as the preference-elicitation method. The DCE asked respondents to compare two options and to state their preferences. The survey was conducted using an online panel of respondents, with quota sampling using age groups, sex and jurisdictions to achieve representativeness of the Australian population. The total design consisted of 200 choice sets, of which each respondent answered eight. Additionally, each respondent answered two quality control choice sets. The best-fitting models were selected on the basis of consistency, parsimony, and goodness of fit.

Results

In total, 1903 respondents were included in the analyses. The MacNew-7D utility value set ranged from −0.4456 to 1.000 for health states defined by the classification system. The best-fitting model retained all levels for five dimensions and collapsed one adjacent level for the other two dimensions. Findings were robust to sensitivity analyses related to the inclusion or exclusion of dominancy and repeat tasks.

Conclusion

Findings indicated that the MacNew-7D utility value set is likely suitable for estimating quality-adjusted life years derived from the MacNew heart disease health-related quality–of-life questionnaire. This value set was derived from an Australian population-based sample and may not be generalisable to dissimilar populations.
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Literatuur
2.
go back to reference Australian institute of health and welfare. Cardiovascular disease. Canberra: AIHW; 2020. Australian institute of health and welfare. Cardiovascular disease. Canberra: AIHW; 2020.
3.
go back to reference Virani, S. S., Alonso, A., Aparicio, H. J., Benjamin, E. J., Bittencourt, M. S., Callaway, C. W., & CarsonChamberlainChengDellingElkind, A. P. A. M. S. F. N. M. S. (2021). Heart disease and stroke statistics-2021 update: A report from the American heart association. Circulation, 143(8), e254–e743.CrossRefPubMed Virani, S. S., Alonso, A., Aparicio, H. J., Benjamin, E. J., Bittencourt, M. S., Callaway, C. W., & CarsonChamberlainChengDellingElkind, A. P. A. M. S. F. N. M. S. (2021). Heart disease and stroke statistics-2021 update: A report from the American heart association. Circulation, 143(8), e254–e743.CrossRefPubMed
4.
go back to reference Australian Bureau of Statistics. Census of Population and Housing (Usual residence data). 2016. Australian Bureau of Statistics. Census of Population and Housing (Usual residence data). 2016.
5.
go back to reference Medical Services Advisory Committee. 1387 - Cardiac Contractility Modulation (OPTIMIZER™ IVs). In: Health Department, Australia 2015. Medical Services Advisory Committee. 1387 - Cardiac Contractility Modulation (OPTIMIZER™ IVs). In: Health Department, Australia 2015.
6.
go back to reference National Institute for Health and Care Excellence. Sacubitril valsartan for treating symptomatic chronic heart failure with reduced ejection fraction. Technology appraisal. 2016;388(TA388). National Institute for Health and Care Excellence. Sacubitril valsartan for treating symptomatic chronic heart failure with reduced ejection fraction. Technology appraisal. 2016;388(TA388).
7.
go back to reference Kularatna, S., Byrnes, J., Chan, Y. K., Carrington, M. J., Stewart, S., & Scuffham, P. A. (2017). Comparison of contemporaneous responses for EQ-5D-3L and Minnesota living with heart failure; a case for disease specific multiattribute utility instrument in cardiovascular conditions. International Journal of Cardiology, 227, 172–176.CrossRefPubMed Kularatna, S., Byrnes, J., Chan, Y. K., Carrington, M. J., Stewart, S., & Scuffham, P. A. (2017). Comparison of contemporaneous responses for EQ-5D-3L and Minnesota living with heart failure; a case for disease specific multiattribute utility instrument in cardiovascular conditions. International Journal of Cardiology, 227, 172–176.CrossRefPubMed
8.
go back to reference Kularatna, S., Rowen, D., Mukuria, C., McPhail, S., Chen, G., Mulhern, B., Whitty, J. A., Byrnes, J., Scuffham, P., Atherton, J., & Höfer, S. (2021). Development of a preference-based heart disease-specific health state classification system using MacNew heart disease-related quality of life instrument. Quality of Life Research, 31, 254–268. Kularatna, S., Rowen, D., Mukuria, C., McPhail, S., Chen, G., Mulhern, B., Whitty, J. A., Byrnes, J., Scuffham, P., Atherton, J., & Höfer, S. (2021). Development of a preference-based heart disease-specific health state classification system using MacNew heart disease-related quality of life instrument. Quality of Life Research, 31, 254–268.
9.
go back to reference Mulhern, B., Norman, R., Street, D. J., & Viney, R. (2019). One method, many methodological choices: A structured review of discrete-choice experiments for health state valuation. PharmacoEconomics, 37(1), 29–43.CrossRefPubMed Mulhern, B., Norman, R., Street, D. J., & Viney, R. (2019). One method, many methodological choices: A structured review of discrete-choice experiments for health state valuation. PharmacoEconomics, 37(1), 29–43.CrossRefPubMed
10.
go back to reference Norman, R., Viney, R., Aaronson, N. K., Brazier, J. E., Cella, D., Costa, D. S. J., Fayers, P. M., Kemmler, G., Peacock, S., Pickard, A. S., & Rowen, D. (2016). Using a discrete choice experiment to value the QLU-C10D: Feasibility and sensitivity to presentation format. Quality of Life Research, 25(3), 637–49.CrossRefPubMed Norman, R., Viney, R., Aaronson, N. K., Brazier, J. E., Cella, D., Costa, D. S. J., Fayers, P. M., Kemmler, G., Peacock, S., Pickard, A. S., & Rowen, D. (2016). Using a discrete choice experiment to value the QLU-C10D: Feasibility and sensitivity to presentation format. Quality of Life Research, 25(3), 637–49.CrossRefPubMed
11.
go back to reference Comans, T. A., Nguyen, K.-H., Ratcliffe, J., Rowen, D., & Mulhern, B. (2020). Valuing the AD-5D dementia utility instrument: An estimation of a general population tariff. PharmacoEconomics, 38(8), 871–881.CrossRefPubMed Comans, T. A., Nguyen, K.-H., Ratcliffe, J., Rowen, D., & Mulhern, B. (2020). Valuing the AD-5D dementia utility instrument: An estimation of a general population tariff. PharmacoEconomics, 38(8), 871–881.CrossRefPubMed
12.
go back to reference Bansback, N., Brazier, J., Tsuchiya, A., & Anis, A. (2012). Using a discrete choice experiment to estimate health state utility values. Journal of Health Economics, 31(1), 306–318.CrossRefPubMed Bansback, N., Brazier, J., Tsuchiya, A., & Anis, A. (2012). Using a discrete choice experiment to estimate health state utility values. Journal of Health Economics, 31(1), 306–318.CrossRefPubMed
13.
go back to reference Bansback, N., Hole, A. R., Mulhern, B., & Tsuchiya, A. (2014). Testing a discrete choice experiment including duration to value health states for large descriptive systems: Addressing design and sampling issues. Social Science and Medicine, 114, 38–48.CrossRefPubMed Bansback, N., Hole, A. R., Mulhern, B., & Tsuchiya, A. (2014). Testing a discrete choice experiment including duration to value health states for large descriptive systems: Addressing design and sampling issues. Social Science and Medicine, 114, 38–48.CrossRefPubMed
14.
go back to reference Norman, R., Mercieca-Bebber, R., Rowen, D., Brazier, J. E., Cella, D., Pickard, A. S., Street, D. J., Viney, R., Revicki, D., & King, M. T. (2019). UK utility weights for the EORTC QLU-C10D. Health Economics, 28(12), 1385–401.CrossRefPubMed Norman, R., Mercieca-Bebber, R., Rowen, D., Brazier, J. E., Cella, D., Pickard, A. S., Street, D. J., Viney, R., Revicki, D., & King, M. T. (2019). UK utility weights for the EORTC QLU-C10D. Health Economics, 28(12), 1385–401.CrossRefPubMed
15.
go back to reference ChoiceMetrics (2012) Ngene 1.1.1 User Manual & Reference Guide, Australia. ChoiceMetrics (2012) Ngene 1.1.1 User Manual & Reference Guide, Australia.
16.
go back to reference Johnson, F., Lancsar, E., Marshall, D., Kilambi, V., Mühlbacher, A., Regier, D. A., et al. (2013). Constructing experimental designs for discrete-choice experiments: Report of the ISPOR conjoint analysis experimental design good research practices task force. Value Health, 16(1), 3–13.CrossRef Johnson, F., Lancsar, E., Marshall, D., Kilambi, V., Mühlbacher, A., Regier, D. A., et al. (2013). Constructing experimental designs for discrete-choice experiments: Report of the ISPOR conjoint analysis experimental design good research practices task force. Value Health, 16(1), 3–13.CrossRef
17.
go back to reference Jonker, M. F., Donkers, B., de Bekker-Grob, E., & Stolk, E. A. (2019). Attribute level overlap (and color coding) can reduce task complexity, improve choice consistency, and decrease the dropout rate in discrete choice experiments. Health Economics., 28(3), 350–363.CrossRefPubMed Jonker, M. F., Donkers, B., de Bekker-Grob, E., & Stolk, E. A. (2019). Attribute level overlap (and color coding) can reduce task complexity, improve choice consistency, and decrease the dropout rate in discrete choice experiments. Health Economics., 28(3), 350–363.CrossRefPubMed
18.
go back to reference Coast, J., Flynn, T. N., Salisbury, C., Louviere, J., & Peters, T. J. (2006). Maximising responses to discrete choice experiments: A randomised trial. Applied Health Economics and Health Policy, 5(4), 249–260.CrossRefPubMed Coast, J., Flynn, T. N., Salisbury, C., Louviere, J., & Peters, T. J. (2006). Maximising responses to discrete choice experiments: A randomised trial. Applied Health Economics and Health Policy, 5(4), 249–260.CrossRefPubMed
19.
go back to reference Johnson, F. R., Yang, J. C., & Reed, S. D. (2019). The internal validity of discrete choice experiment data: A testing tool for quantitative assessments. Value Health, 22(2), 157–160.CrossRefPubMed Johnson, F. R., Yang, J. C., & Reed, S. D. (2019). The internal validity of discrete choice experiment data: A testing tool for quantitative assessments. Value Health, 22(2), 157–160.CrossRefPubMed
21.
go back to reference Hettiarachchi, R., Kularatna, S., Byrnes, J., Mulhern, B., Chen, G., & Scuffham, P. A. (2020). Valuation study for a preference-based quality of life measure for dental caries (dental caries utility index-DCUI) among Australian adolescents-study protocol. British Medical Journal Open, 10(10), e038626. Hettiarachchi, R., Kularatna, S., Byrnes, J., Mulhern, B., Chen, G., & Scuffham, P. A. (2020). Valuation study for a preference-based quality of life measure for dental caries (dental caries utility index-DCUI) among Australian adolescents-study protocol. British Medical Journal Open, 10(10), e038626.
22.
go back to reference McFadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In P. Zarembka (Ed.), Frontiers in econometrics (pp. 105–142). Academic Press. McFadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In P. Zarembka (Ed.), Frontiers in econometrics (pp. 105–142). Academic Press.
23.
go back to reference Xie, F., Pickard, A. S., Krabbe, P. F., Revicki, D., Viney, R., Devlin, N., & Feeny, D. (2015). A checklist for reporting valuation studies of multi-attribute utility-based instruments (CREATE). PharmacoEconomics, 33(8), 867–877.CrossRefPubMedPubMedCentral Xie, F., Pickard, A. S., Krabbe, P. F., Revicki, D., Viney, R., Devlin, N., & Feeny, D. (2015). A checklist for reporting valuation studies of multi-attribute utility-based instruments (CREATE). PharmacoEconomics, 33(8), 867–877.CrossRefPubMedPubMedCentral
25.
go back to reference McCaffrey, N., Kaambwa, B., Currow, D. C., & Ratcliffe, J. (2016). Health-related quality of life measured using the EQ-5D-5L: South Australian population norms. Health and Quality of Life Outcomes, 14(1), 133.CrossRefPubMedPubMedCentral McCaffrey, N., Kaambwa, B., Currow, D. C., & Ratcliffe, J. (2016). Health-related quality of life measured using the EQ-5D-5L: South Australian population norms. Health and Quality of Life Outcomes, 14(1), 133.CrossRefPubMedPubMedCentral
26.
go back to reference McPhail, S., & Haines, T. (2010). Response shift, recall bias and their effect on measuring change in health-related quality of life amongst older hospital patients. Health and Quality of Life Outcomes, 8, 65.CrossRefPubMedPubMedCentral McPhail, S., & Haines, T. (2010). Response shift, recall bias and their effect on measuring change in health-related quality of life amongst older hospital patients. Health and Quality of Life Outcomes, 8, 65.CrossRefPubMedPubMedCentral
27.
go back to reference King, M. T., Viney, R., Simon Pickard, A., Rowen, D., Aaronson, N. K., Brazier, J. E. J. E., Cella, D., Costa, D. S., Fayers, P. M., Kemmler, G., & McTaggart-Cowen, H. (2018). Australian utility weights for the EORTC QLU-C10D, a multi-attribute utility instrument derived from the cancer-specific quality of life questionnaire, EORTC QLQ-C30. Pharmacoeconomics., 36(2), 225–38.CrossRefPubMed King, M. T., Viney, R., Simon Pickard, A., Rowen, D., Aaronson, N. K., Brazier, J. E. J. E., Cella, D., Costa, D. S., Fayers, P. M., Kemmler, G., & McTaggart-Cowen, H. (2018). Australian utility weights for the EORTC QLU-C10D, a multi-attribute utility instrument derived from the cancer-specific quality of life questionnaire, EORTC QLQ-C30. Pharmacoeconomics., 36(2), 225–38.CrossRefPubMed
28.
go back to reference Xie, F., Pullenayegum, E., Gaebel, K., Bansback, N., Bryan, S., Ohinmaa, A., Poissant, L., & Johnson, J. A. (2016). A time trade-off-derived value set of the EQ-5D-5L for Canada. Medical Care, 54(1), 98–105.CrossRefPubMed Xie, F., Pullenayegum, E., Gaebel, K., Bansback, N., Bryan, S., Ohinmaa, A., Poissant, L., & Johnson, J. A. (2016). A time trade-off-derived value set of the EQ-5D-5L for Canada. Medical Care, 54(1), 98–105.CrossRefPubMed
29.
go back to reference Höfer, S., Lim, L., Guyatt, G., & Oldridge, N. (2004). The MacNew heart disease health-related quality of life instrument: A summary. Health and Quality of Life Outcomes, 2, 3.CrossRefPubMedPubMedCentral Höfer, S., Lim, L., Guyatt, G., & Oldridge, N. (2004). The MacNew heart disease health-related quality of life instrument: A summary. Health and Quality of Life Outcomes, 2, 3.CrossRefPubMedPubMedCentral
30.
go back to reference Kularatna, S., Whitty, J. A., Johnson, N. W., Jayasinghe, R., & Scuffham, P. A. (2015). Valuing EQ-5D health states for Sri Lanka. Quality of Life Research, 24(7), 1785–1793.CrossRefPubMed Kularatna, S., Whitty, J. A., Johnson, N. W., Jayasinghe, R., & Scuffham, P. A. (2015). Valuing EQ-5D health states for Sri Lanka. Quality of Life Research, 24(7), 1785–1793.CrossRefPubMed
31.
go back to reference Hauber, A. B., González, J. M., Groothuis-Oudshoorn, C. G. M., Prior, T., Marshall, D. A., Cunningham, C., & IJzermanBridges, M. J. J. F. (2016). Statistical methods for the analysis of discrete choice experiments: A report of the ISPOR conjoint analysis good research practices task force. Value in Health, 19(4), 300–315.CrossRefPubMed Hauber, A. B., González, J. M., Groothuis-Oudshoorn, C. G. M., Prior, T., Marshall, D. A., Cunningham, C., & IJzermanBridges, M. J. J. F. (2016). Statistical methods for the analysis of discrete choice experiments: A report of the ISPOR conjoint analysis good research practices task force. Value in Health, 19(4), 300–315.CrossRefPubMed
32.
go back to reference Bilbao, A., Escobar, A., García-Perez, L., Navarro, G., & Quirós, R. (2016). The Minnesota living with heart failure questionnaire: Comparison of different factor structures. Health and quality of life outcomes, 14, 23.CrossRefPubMedPubMedCentral Bilbao, A., Escobar, A., García-Perez, L., Navarro, G., & Quirós, R. (2016). The Minnesota living with heart failure questionnaire: Comparison of different factor structures. Health and quality of life outcomes, 14, 23.CrossRefPubMedPubMedCentral
33.
go back to reference Spertus, J. A., Winder, J. A., Dewhurst, T. A., Deyo, R. A., Prodzinski, J., McDonell, M., & Fihn, S. D. (1995). Development and evaluation of the Seattle Angina questionnaire: a new functional status measure for coronary artery disease. Journal of the American College of Cardiology, 25(2), 333–41.CrossRefPubMed Spertus, J. A., Winder, J. A., Dewhurst, T. A., Deyo, R. A., Prodzinski, J., McDonell, M., & Fihn, S. D. (1995). Development and evaluation of the Seattle Angina questionnaire: a new functional status measure for coronary artery disease. Journal of the American College of Cardiology, 25(2), 333–41.CrossRefPubMed
34.
go back to reference Green, C. P., Porter, C. B., Bresnahan, D. R., & Spertus, J. A. (2000). Development and evaluation of the Kansas City cardiomyopathy questionnaire: A new health status measure for heart failure. Journal of the American College of Cardiology, 35(5), 1245–1255.CrossRefPubMed Green, C. P., Porter, C. B., Bresnahan, D. R., & Spertus, J. A. (2000). Development and evaluation of the Kansas City cardiomyopathy questionnaire: A new health status measure for heart failure. Journal of the American College of Cardiology, 35(5), 1245–1255.CrossRefPubMed
Metagegevens
Titel
Developing an Australian utility value set for MacNew-7D health states
Auteurs
Sanjeewa Kularatna
Gang Chen
Richard Norman
Clara Mukuria
Donna Rowen
Sameera Senanayake
Ruvini Hettiarachchi
Brendan Mulhern
Katie Fozzard
William Parsonage
Steven M. MacPhail
Publicatiedatum
21-12-2022
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 4/2023
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-022-03325-6