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Canadian Valuation of EQ-5D Health States: Preliminary Value Set and Considerations for Future Valuation Studies

Author

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  • Nick Bansback
  • Aki Tsuchiya
  • John Brazier
  • Aslam Anis

Abstract

Background: The EQ-5D is a preference based instrument which provides a description of a respondent's health status, and an empirically derived value for that health state often from a representative sample of the general population. It is commonly used to derive Quality Adjusted Life Year calculations (QALY) in economic evaluations. However, values for health states have been found to differ between countries. The objective of this study was to develop a set of values for the EQ-5D health states for use in Canada. Methods: Values for 48 different EQ-5D health states were elicited using the Time Trade Off (TTO) via a web survey in English. A random effect model was fitted to the data to estimate values for all 243 health states of the EQ-5D. Various model specifications were explored. Comparisons with EQ-5D values from the UK and US were made. Sensitivity analysis explored different transformations of values worse than dead, and exclusion criteria of subjects. Results: The final model was estimated from the values of 1145 subjects with socio-demographics broadly representative of Canadian general population with the exception of Quebec. This yielded a good fit with observed TTO values, with an overall R2 of 0.403 and a mean absolute error of 0.044. Conclusion: A preference-weight algorithm for Canadian studies that include the EQ-5D is developed. The primary limitations regarded the representativeness of the final sample, given the language used (English only), the method of recruitment, and the difficulty in the task. Insights into potential issues for conducting valuation studies in countries as large and diverse as Canada are gained.

Suggested Citation

  • Nick Bansback & Aki Tsuchiya & John Brazier & Aslam Anis, 2012. "Canadian Valuation of EQ-5D Health States: Preliminary Value Set and Considerations for Future Valuation Studies," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-11, February.
    • Handle: RePEc:plo:pone00:0031115
    DOI: 10.1371/journal.pone.0031115
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    Cited by:

    1. Arthur Attema & Yvette Edelaar-Peeters & Matthijs Versteegh & Elly Stolk, 2013. "Time trade-off: one methodology, different methods," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(1), pages 53-64, July.
    2. Eleanor Pullenayegum & Kuhan Perampaladas & Kathryn Gaebel & Brett Doble & Feng Xie, 2015. "Between-country heterogeneity in EQ-5D-3L scoring algorithms: how much is due to differences in health state selection?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(8), pages 847-855, November.
    3. Angela Robinson & Anne Spencer & Peter Moffatt, 2015. "A Framework for Estimating Health State Utility Values within a Discrete Choice Experiment," Medical Decision Making, , vol. 35(3), pages 341-350, April.
    4. Versteegh, MM & Attema, AE & Oppe, M & Devlin, NJ & Stolk, EA, 2012. "Time to tweak the TTO. But how?," MPRA Paper 37989, University Library of Munich, Germany.
    5. Markian Pahuta & Aaron Frombach & Emile Hashem & Stewart Spence & Christina Sun & Eugene K. Wai & Joel Werier & Carl Walraven & Doug Coyle, 2019. "The Psychometric Properties of a Self-Administered, Open-Source Module for Valuing Metastatic Epidural Spinal Cord Compression Utilities," PharmacoEconomics - Open, Springer, vol. 3(2), pages 197-204, June.
    6. Xueyun Zeng & Mingjie Sui & Bo Liu & Hongbin Yang & Rui Liu & Rachel Lee-Yin Tan & Juan Xu & Erwei Zheng & Jinjin Yang & Chunyu Liu & Weidong Huang & Hongjuan Yu & Nan Luo, 2021. "Measurement Properties of the EQ-5D-5L and EQ-5D-3L in Six Commonly Diagnosed Cancers," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 14(2), pages 209-222, March.
    7. Munir A. Khan & Jeff Richardson, 2019. "Is the Validity of Cost Utility Analysis Improved When Utility is Measured by an Instrument with ‘Home-Country’ Weights? Evidence from Six Western Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(1), pages 1-15, August.
    8. Feng Xie & Kathryn Gaebel & Kuhan Perampaladas & Brett Doble & Eleanor Pullenayegum, 2014. "Comparing EQ-5D Valuation Studies," Medical Decision Making, , vol. 34(1), pages 8-20, January.
    9. Matthijs Versteegh & Arthur Attema & Mark Oppe & Nancy Devlin & Elly Stolk, 2013. "Time to tweak the TTO: results from a comparison of alternative specifications of the TTO," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(1), pages 43-51, July.
    10. Franz Ombler & Michael Albert & Paul Hansen, 2017. "The true significance of ‘high’ correlations between EQ-5D value sets," Working Papers 1704, University of Otago, Department of Economics, revised Mar 2017.
    11. Arthur E. Attema & Werner B.F. Brouwer, 2014. "Deriving Time Discounting Correction Factors For Tto Tariffs," Health Economics, John Wiley & Sons, Ltd., vol. 23(4), pages 410-425, April.
    12. Franz Ombler & Michael Albert & Paul Hansen, 2018. "How Significant Are “High†Correlations Between EQ-5D Value Sets?," Medical Decision Making, , vol. 38(6), pages 635-645, August.
    13. Marian Sorin Paveliu & Elena Olariu & Raluca Caplescu & Yemi Oluboyede & Ileana-Gabriela Niculescu-Aron & Simona Ernu & Luke Vale, 2021. "Estimating an EQ-5D-3L Value Set for Romania Using Time Trade-Off," IJERPH, MDPI, vol. 18(14), pages 1-16, July.
    14. Ruixuan Jiang & Thomas Kohlmann & Todd A. Lee & Axel Mühlbacher & James Shaw & Surrey Walton & A. Simon Pickard, 2021. "Increasing respondent engagement in composite time trade-off tasks by imposing three minimum trade-offs to improve data quality," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(1), pages 17-33, February.

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