Valuing health-related quality of life: An EQ-5D-5L value set for England

Nancy J Devlin, Koonal K Shah, Yan Feng, Brendan Mulhern, Ben van Hout, Nancy J Devlin, Koonal K Shah, Yan Feng, Brendan Mulhern, Ben van Hout

Abstract

A new version of the EQ-5D, the EQ-5D-5L, is available. The aim of this study is to produce a value set to support use of EQ-5D-5L data in decision-making. The study design followed an international research protocol. Randomly selected members of the English general public completed 10 time trade-off and 7 discrete choice experiment tasks in face-to-face interviews. A 20-parameter hybrid model was used to combine time trade-off and discrete choice experiment data to generate values for the 3,125 EQ-5D-5L health states. Valuation data are available for 996 respondents. Face validity of the data has been demonstrated, with more severe health states generally given lower values. Problems with pain/discomfort and anxiety/depression received the greatest weight. Compared to the existing EQ-5D-3L value set, there are considerably fewer "worse than dead" states (5.1%, compared with over one third), and the minimum value is higher. Values range from -0.285 (extreme problems on all dimensions) to 0.950 (for health states 11211 and 21111). Results have important implications for users of the EQ-5D-5L both in England and internationally. Quality-adjusted life year gains from interventions seeking to improve very poor health may be smaller using this value set and may previously have been overestimated.

Keywords: EQ-5D-5L; NICE; PROMs; quality of life; stated preferences.

Conflict of interest statement

NJD, KKS and YF are employees of the Office of Health Economics, a registered charity which received funding from a variety of sources, including the Association of the British Pharmaceutical Industry. All authors are members of the EuroQol Group.

© 2017 The Authors. Health Economics Published by John Wiley & Sons Ltd.

Figures

Figure 1
Figure 1
The EQ‐5D‐5L descriptive system
Figure 2
Figure 2
(a) Example of time trade‐off valuation of health states better than dead (i.e., values ≥ 0). (b) Example of time trade‐off valuation of health states worse than dead (i.e., values ≤ 0) [Colour figure can be viewed at wileyonlinelibrary.com]
Figure 3
Figure 3
Example discrete choice experiment task [Colour figure can be viewed at wileyonlinelibrary.com]
Figure 4
Figure 4
Distribution of observed time trade‐off values [Colour figure can be viewed at wileyonlinelibrary.com]
Figure 5
Figure 5
Frequency of values in the EQ‐5D (left) and EQ‐5D‐5L (right) value sets [Colour figure can be viewed at wileyonlinelibrary.com]

References

    1. Augustovski, F. , Rey‐Ares, L. , Irazola, V. , Garay, O. U. , Gianneo, O. , Fernández, G. , … Ramos‐Goñi, J. M. (2016). An EQ‐5D‐5L value set based on Uruguayan population preferences. Quality of Life Research, 25, 323–333.
    1. 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, 306–318.
    1. Brazier, J. , Ratcliffe, J. , Salomon, J. A. , & Tsuchiya, A. (2017). Measuring and valuing health benefits for economic evaluation. Oxford, UK: Oxford University Press.
    1. 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, 271–292.
    1. CADTH [Canadian Agency for Drugs and Technologies in Health] (2006). Guidelines for the economic evaluation of health technologies: Canada [3rd edition]. Ottawa: Canadian Agency for Drugs and Technologies in Health.
    1. Cambridgeshire Community Services NHS Trust . Quality Account 2013. ‐2014. (last accessed on 14th March 2016)
    1. Devlin, N. , & Appleby, J. (2010). Getting the most out of PROMs: Putting health outcomes at the heart of NHS decision making. London, UK: King's Fund.
    1. Devlin, N. , & Brooks, R. (2017). EQ‐5D and the EuroQol group: Past, present, future. Applied Health Economics and Health Policy, 15(2), 127–137.
    1. Devlin, N. , Buckingham, K. , Shah, K. , Tsuchiya, A. , Tilling, C. , Wilkinson, G. , & van Hout, B. (2013). A comparison of alternative variants of the lead and lag time TTO. Health Economics, 22, 517–532.
    1. Devlin, N. , Tsuchiya, A. , Buckingham, K. , & Tilling, C. (2011). A uniform time trade off method for states better and worse than dead: Feasibility study of the ‘lead time’ approach. Health Economics, 20, 348–361.
    1. Dolan, P. (1997). Modeling valuations for EuroQol health states. Medical Care, 35, 1095–1108.
    1. Engel, L. , Bansback, N. , Bryan, S. , Doyle‐Waters, M. M. , & Whitehurst, D. G. T. (2016). Exclusion criteria in national health state valuation studies: A systematic review. Medical Decision Making, 36, 798–810.
    1. Fayers, P. M. , & Machin, D. (2016). Quality of Life—The assessment, analysis and reporting of patient‐reported outcomes (3rd ed.). Chichester, UK: Wiley‐Blackwell.
    1. Feng, Y. , Devlin, N. J. , Shah, K. K. , Mulhern, B. , & van Hout, B. (2017). New methods for modelling EQ‐5D‐5L value sets: An application to English data. Health Economics, 27, 23–38. 10.1002/hec.3560
    1. Fuller E., Mindell J., & Prior G. (Eds.) (2016). Health Survey for England 2015. London: NHS Digital.
    1. Herdman, M. , Gudex, C. , Lloyd, A. , Janssen, M. F. , Kind, P. , Parkin, D. , … Badia, X. (2011). Development and preliminary testing of the new five‐level version of EQ‐5D (EQ‐5D‐5L). Quality of Life Research, 20, 1727–1736.
    1. Hernández Alava, M. , Wailoo, A. J. , & Ara, R. (2012). Tails from the Peak District: Adjusted limited dependent variable mixture models of EQ‐5D questionnaire health state utility values. Value in Health, 15, 550–561.
    1. Hernandez‐Villafuerte, K. , Garau, M. , & Devlin, N. (2014). Do NICE decisions affect decisions in other countries? Value in Health, 17(7), A418.
    1. Janssen, B. , Oppe, M. , Versteegh, M. , & Stolk, E. (2013). Introducing the composite TTO: A test of feasibility and face validity. European Journal of Health Economics, 14, 5–13.
    1. Janssen, M. F. , Lubetkin, E. I. , Sekhobo, J. P. , & Pickard, A. S. (2011). The use of the EQ‐5D preference‐based health status measure in adults with type 2 diabetes mellitus. Diabetes Medicine, 28, 395–413.
    1. Kim, S. H. , Ahn, J. , Ock, M. , Shin, S. , Park, J. , Luo, N. , & Jo, M. W. (2016). The EQ‐5D‐5L valuation study in Korea. Quality of Life Research, 25, 1845–1852.
    1. Longworth, L. , Yang, Y. , Young, T. , Hernandez Alva, M. , Mukuria, C. , Rowen, D. , … Brazier, J. (2014). Use of generic and condition‐specific measures of health‐related quality of life in NICE decision‐making: Systematic review, statistical modelling and survey. Health Technology Assessment, 18(9).
    1. Mulhern, B. , Bansback, N. , Brazier, J. E. , Buckingham, K. , Cairns, J. , Dolan, P. , … Tsuchiya, A. (2014). Preparatory study for the revaluation of the EQ‐5D tariff: Methodology report. Health Technology Assessment, 18(12).
    1. Mulhern, B. , Feng, Y. , Shah, K. , van Hout, B. , Janssen, B. , Herdman, M. , & Devlin, N. (2017). Comparing the UK EQ‐5D‐3L and the English EQ‐5D‐5L value sets. OHE Research Paper. London, UK: Office of Health Economics.
    1. Neumann P., Ganiats T. G., Russell L. B., Sanders G. D., & Siegel J. E. (Eds.) (2017). Cost‐effectiveness in health and medicine (Second ed.). New York, USA: Oxford University Press.
    1. NHS [National Health Service] (2016). GP patient survey: National summary report. London, UK: National Health Service.
    1. NICE [National Institute for Health and Care Excellence] (2013). Guide to the methods of technology appraisal 2013. London, UK: National Institute of Health and Care Excellence.
    1. Office for National Statistics . (2011). Census: Digitised boundary data (England and Wales) [computer file]. UK Data Service Census Support. (last accessed on 14th March 2016).
    1. Oppe, M. , Devlin, N. J. , van Hout, B. , Krabbe, P. F. , & de Charro, F. (2014). A program of methodological research to arrive at the new international EQ‐5D‐5L valuation protocol. Value in Health, 17, 445–453.
    1. Oppe, M. , Rand‐Hendriksen, K. , Shah, K. , Ramos‐Goñi, J. M. , & Luo, N. (2016). EuroQol protocols for time trade‐off valuation of health outcomes. PharmacoEconomics, 34(10), 993–1004.
    1. Oppe, M. , & van Hout, B. (2010). The optimal hybrid: experimental design and modeling of a combination of TTO and DCE In Yfantopoulos J. (Ed.), 27th Scientific Plenary Meeting of the EuroQol Group Proceedings, Athens Greece, September 2010. Rotterdam: EuroQol Group Executive Office.
    1. Parkin, D. , Devlin, N. , & Feng, Y. (2016). What determines the shape of an EQ‐5D index distribution? Medicinal Decision Making, 36(8), 941–951.
    1. PBAC [Pharmaceutical Benefits Advisory Committee] (2016). Guidelines for preparing a submission to the Pharmaceutical Benefits Advisory Committee. Canberra: Australian Department of Health.
    1. Pickard, A. S. , Wilke, C. T. , Lin, H. W. , & Lloyd, A. (2007). Health utilities using the EQ‐5D in studies of cancer. PharmacoEconomics, 25, 365–384.
    1. Ramos‐Goñi, J. M. , Pinto‐Prades, J. L. , Cabasés, J. M. , & Rivero‐Arias, O. (2014). Valuation and modeling of EQ‐5D‐5L health states using a hybrid approach. Medical Care. 10.1097/MLR.0000000000000283; Applied Methods: PDF Only
    1. Richardson, J. , McKie, J. , & Bariola, E. (2014). Multiattribute utility instruments and their use In Culyer A. J. (Ed.), Encyclopedia of health economics (pp. 341–357). San Diego, USA: Elsevier.
    1. Robinson, A. , & Parkin, D. (2002). Recognising diversity in public preferences: The use of preference sub‐groups in cost‐effectiveness analysis. A response to Sculpher and Gafni. Health Economics, 11, 649–651.
    1. Robinson, A. , & Spencer, A. (2006). Exploring challenges to TTO utilities: Valuing states worse than dead. Health Economics, 15, 393–402.
    1. Rowen, D. , Brazier, J. , & van Hout, B. (2014). A comparison of methods for converting DCE values onto the Full Health‐Dead QALY Scale. Medical Decision Making, 35, 328–340.
    1. Ryan, M. , Gerard, K. , & Amaya‐Amaya, M. (2008). Using discrete choice experiments to value health and health care. Dordrecht, Netherlands: Springer.
    1. Sculpher, M. , & Gafni, A. (2001). Recognising diversity in public preferences: The use of preference sub‐groups in cost‐effectiveness analysis. Health Economics, 10, 314–324.
    1. Shah, K. K. , Lloyd, A. , Oppe, M. , & Devlin, N. (2013). One‐to‐one versus group settings for conducting computer assisted TTO studies: Findings from pilot studies in England and the Netherlands. European Journal of Health Economics, 14, S65–S73.
    1. Szende, A. , Oppe, M. , & Devlin, N. (2007). EQ‐5D value sets: Inventory, comparative review and user guide. Dordrecht, Netherlands: Springer.
    1. Tilling, C. , Devlin, N. , Tsuchiya, A. , & Buckingham, K. (2010). TTO valuations of health states worse than dead: A literature review and conceptual framework for systematic analysis. Medical Decision Making, 30, 610–619.
    1. van Hout, B. , Janssen, M. F. , Feng, Y. S. , Kohlmann, T. , Busschbach, J. , Golicki, D. , … Pickard, A. S. (2012). Interim scoring for the EQ‐5D‐5L: Mapping the EQ‐5D‐5L to EQ‐5D‐3L value sets. Value in Health, 15, 708–715.
    1. Versteegh, M. M. , Vermeulen, K. M. , Evers, S. M. A. A. , de Wit, G. A. , Prenger, R. , & Stolk, E. A. (2016). Dutch tariff for the five‐level version of EQ‐5D. Value in Health, 19, 343–352.
    1. Wailoo, A. , David, S. , & Tosh, J. (2010). The incorporation of health benefits in CUA using EQ‐5D. Sheffield: NICE Decision Support Unit.
    1. Xie, F. , Pickard, A. S. , Krabbe, P. F. M. , Revicki, D. , Viney, R. , Devlin, N. , & Feeny, D. (2015). A checklist for reporting valuation studies of multi‐attribute utility‐based instruments (CREATE). PharmacoEconomics, 33, 867–877.
    1. Xie, F. , Pullenayegum, E. , Gaebel, K. , Bansback, N. , Bryan, S. , Ohinmaa, A. , … on behalf of the Canadian EQ‐5D‐5L Valuation Study Group , on behalf of the Canadian EQ‐5D‐5L Valuation Study Group (2016). A time trade‐off‐derived value set of the EQ‐5D‐5L for Canada. Medical Care, 54, 98–105.

Source: PubMed

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