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Health state values for the HUI 2 descriptive system: results from a UK survey

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  • McCabe, C
  • Stevens, K
  • Roberts, J
  • Brazier, JE

Abstract

This paper reports the results of a study to estimate a statistical health state valuation model for a revised version of the Health Utilities Index Mark 2, using Standard Gamble health state preference data. A sample of 51 health states were valued by a sample of the 198 members of the UK general population. Models are estimated for predicting health state valuations for all 8,000 states defined by the revised HUI2. The recommended model produces logical and significant coefficients for all levels of all dimensions in the HUI2. These coefficients appear to be robust across model specifications. This model performs well in predicting the observed health state values within the valuation sample and for a separate validation sample of health states. However, there are concerns over large prediction errors for two health states in the valuation sample. These problems must be balanced against concerns over the validity of using the VAS based health state valuation data of the original HUI2 valuation model.

Suggested Citation

  • McCabe, C & Stevens, K & Roberts, J & Brazier, JE, 2003. "Health state values for the HUI 2 descriptive system: results from a UK survey," MPRA Paper 29744, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:29744
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    References listed on IDEAS

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    1. Brazier, John & Roberts, Jennifer & Deverill, Mark, 2002. "The estimation of a preference-based measure of health from the SF-36," Journal of Health Economics, Elsevier, vol. 21(2), pages 271-292, March.
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    4. William Furlong & David Feeny & George Torrance & Ronald Barr & John Horsman, 1992. "Guide to Design and Development of Health-State Utility Instrumentation," Centre for Health Economics and Policy Analysis Working Paper Series 1990-09, Centre for Health Economics and Policy Analysis (CHEPA), McMaster University, Hamilton, Canada.
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    Cited by:

    1. Donna Rowen & John Brazier & Aki Tsuchiya & Tracey Young & Rachel Ibbotson, 2012. "It’s All in the Name, or Is It? The Impact of Labeling on Health State Values," Medical Decision Making, , vol. 32(1), pages 31-40, January.
    2. Rowen, D & Brazier, J & Tsuchiya, A & Hernández, M & Ibbotson, R, 2009. "The simultaneous valuation of states from multiple instruments using ranking and VAS data: methods and preliminary results," MPRA Paper 29841, University Library of Munich, Germany.
    3. Lidia Engel & Nick Bansback & Stirling Bryan & Mary M. Doyle-Waters & David G. T. Whitehurst, 2016. "Exclusion Criteria in National Health State Valuation Studies," Medical Decision Making, , vol. 36(7), pages 798-810, October.
    4. Musal, R. Muzaffer & Soyer, Refik & McCabe, Christopher & Kharroubi, Samer A., 2012. "Estimating the population utility function: A parametric Bayesian approach," European Journal of Operational Research, Elsevier, vol. 218(2), pages 538-547.
    5. Joseph Kwon & Louise Freijser & Elisabeth Huynh & Martin Howell & Gang Chen & Kamran Khan & Shahd Daher & Nia Roberts & Conrad Harrison & Sarah Smith & Nancy Devlin & Kirsten Howard & Emily Lancsar & , 2022. "Systematic Review of Conceptual, Age, Measurement and Valuation Considerations for Generic Multidimensional Childhood Patient-Reported Outcome Measures," PharmacoEconomics, Springer, vol. 40(4), pages 379-431, April.
    6. Rowen, D & Brazier, J & Roberts, J, 2008. "Mapping SF-36 onto the EQ-5D index: how reliable is the relationship?," MPRA Paper 29831, University Library of Munich, Germany.
    7. Mónica Hernández Alava & John Brazier & Donna Rowen & Aki Tsuchiya, 2013. "Common Scale Valuations across Different Preference-Based Measures," Medical Decision Making, , vol. 33(6), pages 839-852, August.
    8. Valentina Prevolnik Rupel & Marko Ogorevc, 2021. "EQ-5D-Y Value Set for Slovenia," PharmacoEconomics, Springer, vol. 39(4), pages 463-471, April.
    9. McCabe, C & Brazier, J & Gilks, P & Tsuchiya, A & Roberts, J & O'Hagan, A & Stevens, K, 2004. "Estimating population cardinal health state valuation models from individual ordinal (rank) health state preference data," MPRA Paper 29759, University Library of Munich, Germany.
    10. Cate Bailey & Martin Howell & Rakhee Raghunandan & Amber Salisbury & Gang Chen & Joanna Coast & Jonathan C. Craig & Nancy J. Devlin & Elisabeth Huynh & Emily Lancsar & Brendan J. Mulhern & Richard Nor, 2022. "Preference Elicitation Techniques Used in Valuing Children’s Health-Related Quality-of-Life: A Systematic Review," PharmacoEconomics, Springer, vol. 40(7), pages 663-698, July.
    11. Kim Dalziel & Max Catchpool & Borja García-Lorenzo & Inigo Gorostiza & Richard Norman & Oliver Rivero-Arias, 2020. "Feasibility, Validity and Differences in Adolescent and Adult EQ-5D-Y Health State Valuation in Australia and Spain: An Application of Best–Worst Scaling," PharmacoEconomics, Springer, vol. 38(5), pages 499-513, May.
    12. Christopher McCabe & Richard Edlin & David Meads & Chantelle Brown & Samer Kharroubi, 2013. "Constructing Indirect Utility Models: Some Observations on the Principles and Practice of Mapping to Obtain Health State Utilities," PharmacoEconomics, Springer, vol. 31(8), pages 635-641, August.
    13. Piérard, Emmanuelle, 2014. "The effect of physician supply on health status: Canadian evidence," Health Policy, Elsevier, vol. 118(1), pages 56-65.
    14. Donna Rowen & Oliver Rivero-Arias & Nancy Devlin & Julie Ratcliffe, 2020. "Review of Valuation Methods of Preference-Based Measures of Health for Economic Evaluation in Child and Adolescent Populations: Where are We Now and Where are We Going?," PharmacoEconomics, Springer, vol. 38(4), pages 325-340, April.
    15. Donna Rowen & John Brazier & Aki Tsuchiya & Mónica Hernández Alava, 2012. "Valuing states from multiple measures on the same visual analogue sale: a feasibility study," Health Economics, John Wiley & Sons, Ltd., vol. 21(6), pages 715-729, June.
    16. Brazier, John & Rowen, Donna & Tsuchiya, Aki & Yang, Yaling & Young, Tracy A., 2011. "The impact of adding an extra dimension to a preference-based measure," Social Science & Medicine, Elsevier, vol. 73(2), pages 245-253, July.
    17. Katherine Stevens, 2012. "Valuation of the Child Health Utility 9D Index," PharmacoEconomics, Springer, vol. 30(8), pages 729-747, August.
    18. Samer A. Kharroubi & Yara Beyh & Esmail Abdul Fattah & Tracey Young, 2020. "The Importance of Accounting for Parameter Uncertainty in SF-6D Value Sets and Its Impact on Studies that Use the SF-6D to Measure Health Utility," IJERPH, MDPI, vol. 17(11), pages 1-12, June.
    19. Clara Mukuria & Donna Rowen & Sue Harnan & Andrew Rawdin & Ruth Wong & Roberta Ara & John Brazier, 2019. "An Updated Systematic Review of Studies Mapping (or Cross-Walking) Measures of Health-Related Quality of Life to Generic Preference-Based Measures to Generate Utility Values," Applied Health Economics and Health Policy, Springer, vol. 17(3), pages 295-313, June.
    20. Donna Rowen & Clara Mukuria & Philip A. Powell & Allan Wailoo, 2022. "Exploring the Issues of Valuing Child and Adolescent Health States Using a Mixed Sample of Adolescents and Adults," PharmacoEconomics, Springer, vol. 40(5), pages 479-488, May.

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    More about this item

    Keywords

    HUI2;

    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I19 - Health, Education, and Welfare - - Health - - - Other

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