Background An updated version of the Short-Form 6-Dimension (SF-6D) Classification System has been developed. This new version (SF-6Dv2) with improved consistency and dimension descriptors is now requiring the development of new utility value sets. The aim of this study was to estimate an SF-6Dv2 value set from a general population in Quebec, Canada.
Methods A discrete choice experiment with time trade-off (DCETTO) was conducted using two designs: binary choice sets (Design 1) and best-worst choice sets (Design 2). Design 1 consisted of binary choice sets along with an associated duration, and Design 2 included Design 1 and a third scenario describing “immediate death.” Various logit model specifications were employed to estimate value sets separately for Design 1 and in combination with Design 2. Heterogeneity in preferences was assessed using a mixed logit model.
Results The survey was completed online by 1208 participants and 1153 were included for analysis. The model combining Design 1 and 2 data was considered as the best fitting model for estimating the final value set. It provided a value set with logical consistent coefficients and showed the lowest standard errors. Values ranged from -0.683 for the worst health state (555655) to 1 for full health (111111), with 13.01% of the values being negative. Preference values were the most affected by pain dimension and the least by vitality dimension. Preference heterogeneity existed for all the most severe levels of dimensions.
Conclusion This study provided the SF-6Dv2 value set for use in Quebec, Canada. The recommended value set is the anchored consistent model combining data from Design 1 and 2 using a conditional logit.
Martin D, Miller AP, Quesnel-Vallée A, Caron NR, Vissandjée B, Marchildon GP. Canada's universal health-care system: achieving its potential. Lancet. 2018;391(10131):1718-1735. doi:1016/s0140-6736(18)30181-8
Menon D, Stafinski T. Health technology assessment in Canada: 20 years strong? Value Health. 2009;12 Suppl 2:S14-S19. doi:1111/j.1524-4733.2009.00554.x
Hailey DM. Health technology assessment in Canada: diversity and evolution. Med J Aust. 2007;187(5):286-288. doi:5694/j.1326-5377.2007.tb01245.x
Weinstein MC, Torrance G, McGuire A. QALYs: the basics. Value Health. 2009;12 Suppl 1:S5-9. doi:1111/j.1524-4733.2009.00515.x
Canadian Agency for Drugs and Technologies in Health (CADTH). Guidelines for the Economic Evaluation of Health Technologies: Canada. Ottawa: CADTH; 2017.
Brazier J, Roberts J, Deverill M. The estimation of a preference-based measure of health from the SF-36. J Health Econ. 2002;21(2):271-292. doi:1016/s0167-6296(01)00130-8
Brazier JE, Mulhern BJ, Bjorner JB, et al. Developing a new version of the SF-6D health state classification system from the SF-36v2: SF-6Dv2. Med Care. 2020;58(6):557-565. doi:1097/mlr.0000000000001325
Wang L, Poder TG. A systematic review of SF-6D health state valuation studies. J Med Econ. 2023;26(1):584-593. doi:1080/13696998.2023.2195753
Ameri H, Safari H, Poder T. Exploring the consistency of the SF-6Dv2 in a breast cancer population. Expert Rev Pharmacoecon Outcomes Res. 2021;21(5):1017-1024. doi:1080/14737167.2021.1842734
Mulhern BJ, Bansback N, Norman R, Brazier J. Valuing the SF-6Dv2 classification system in the United Kingdom using a discrete-choice experiment with duration. Med Care. 2020;58(6):566-573. doi:1097/mlr.0000000000001324
Mulhern B, Norman R, Brazier J. Valuing SF-6Dv2 in Australia using an international protocol. Pharmacoeconomics. 2021;39(10):1151-1162. doi:1007/s40273-021-01043-4
Wu J, Xie S, He X, et al. Valuation of SF-6Dv2 health states in China using time trade-off and discrete-choice experiment with a duration dimension. Pharmacoeconomics. 2021;39(5):521-535. doi:1007/s40273-020-00997-1
Daroudi R, Zeraati H, Poder TG, et al. Valuing the SF-6Dv2 in the capital of Iran using a discrete choice experiment with duration. Qual Life Res. 2024;33(7):1853-1863. doi:1007/s11136-024-03649-5
Touré M, Pavic M, Poder TG. Second version of the short form 6-dimension value set elicited from patients with breast and colorectal cancer: a hybrid approach. Med Care. 2023;61(8):536-545. doi:1097/mlr.0000000000001880
Dufresne É, Poder TG, Samaan K, et al. SF-6Dv2 preference value set for health utility in food allergy. Allergy. 2021;76(1):326-338. doi:1111/all.14444
Devlin N, Roudijk B, Ludwig K. Value Sets for EQ-5D-5L: A Compendium, Comparative Review & User Guide. Cham, CH: Springer; 2022.
Kharroubi SA. Valuation of preference-based measures: can existing preference data be used to generate better estimates? Health Qual Life Outcomes. 2018;16(1):116. doi:1186/s12955-018-0945-4
Lancsar E, Louviere J. Conducting discrete choice experiments to inform healthcare decision making: a user's guide. Pharmacoeconomics. 2008;26(8):661-677. doi:2165/00019053-200826080-00004
Bansback N, Brazier J, Tsuchiya A, Anis A. Using a discrete choice experiment to estimate health state utility values. J Health Econ. 2012;31(1):306-318. doi:1016/j.jhealeco.2011.11.004
Hole AR. A comparison of approaches to estimating confidence intervals for willingness to pay measures. Health Econ. 2007;16(8):827-840. doi:1002/hec.1197
Hole AR. Mixed logit modeling in Stata--an overview. United Kingdom Stata Users' Group Meetings 2013. Stata Users Group; 2013.
Devlin NJ, Shah KK, Feng Y, Mulhern B, Van Hout B. Valuing health-related quality of life: an EQ-5D-5L value set for England. Health Econ. 2018;27(1):7-22. doi:1002/hec.3564
Versteegh MM, Vermeulen KM, Evers SM, de Wit GA, Prenger R, Stolk EA. Dutch tariff for the five-level version of EQ-5D. Value Health. 2016;19(4):343-352. doi:1016/j.jval.2016.01.003
Ludwig K, Graf von der Schulenburg JM, Greiner W. German value set for the EQ-5D-5L. Pharmacoeconomics. 2018;36(6):663-674. doi:1007/s40273-018-0615-8
Andrade LF, Ludwig K, Goni JM, Oppe M, de Pouvourville G. A French value set for the EQ-5D-5L. Pharmacoeconomics. 2020;38(4):413-425. doi:1007/s40273-019-00876-4
Ramos-Goñi JM, Craig BM, Oppe M, et al. Handling data quality issues to estimate the Spanish EQ-5D-5L value set using a hybrid interval regression approach. Value Health. 2018;21(5):596-604. doi:1016/j.jval.2017.10.023
Articles in Press, Corrected Proof Available Online from 11 August 2024
Ameri, H., & Poder, T. G. (2024). Valuing SF-6Dv2 Using a Discrete Choice Experiment in a General Population in Quebec, Canada. International Journal of Health Policy and Management, (), -. doi: 10.34172/ijhpm.8404
MLA
Hosein Ameri; Thomas G. Poder. "Valuing SF-6Dv2 Using a Discrete Choice Experiment in a General Population in Quebec, Canada", International Journal of Health Policy and Management, , , 2024, -. doi: 10.34172/ijhpm.8404
HARVARD
Ameri, H., Poder, T. G. (2024). 'Valuing SF-6Dv2 Using a Discrete Choice Experiment in a General Population in Quebec, Canada', International Journal of Health Policy and Management, (), pp. -. doi: 10.34172/ijhpm.8404
VANCOUVER
Ameri, H., Poder, T. G. Valuing SF-6Dv2 Using a Discrete Choice Experiment in a General Population in Quebec, Canada. International Journal of Health Policy and Management, 2024; (): -. doi: 10.34172/ijhpm.8404