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The Use of Mapping to Estimate Health State Utility Values

Author

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  • Roberta Ara

    (University of Sheffield)

  • Donna Rowen

    (University of Sheffield)

  • Clara Mukuria

    (University of Sheffield)

Abstract

Mapping functions are estimated using regression analyses and are frequently used to predict health state utility values (HSUVs) in decision analytic models. Mapping functions are used when evidence on the required preference-based measure (PBM) is not available, or where modelled values are required for a decision analytic model, for example to control for important sociodemographic variables (such as age or gender). This article provides an overview of the latest recommendations including pre-mapping considerations, the mapping process including data requirements for undertaking the estimation of mapping functions, regression models for estimating mapping functions, assessing performance and reporting standards for mapping studies. Examples in rheumatoid arthritis are used for illustration. When reporting the results of mapping standards the following should be reported: a description of the dataset used (including distributions of variables used) and any analysis used to inform the selection of the model type and model specification. The regression method and specification should be justified, and as summary statistics may mask systematic bias in errors, plots comparing observed and predicted HSUVs. The final model (coefficients, error term(s), variance and covariance) should be reported together with a worked example. It is important to ensure that good practice is followed as any mapping functions will only be as appropriate and accurate as the method used to obtain them; for example, mapping should not be used if there is no overlap between the explanatory and target variables.

Suggested Citation

  • Roberta Ara & Donna Rowen & Clara Mukuria, 2017. "The Use of Mapping to Estimate Health State Utility Values," PharmacoEconomics, Springer, vol. 35(1), pages 57-66, December.
  • Handle: RePEc:spr:pharme:v:35:y:2017:i:1:d:10.1007_s40273-017-0548-7
    DOI: 10.1007/s40273-017-0548-7
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    References listed on IDEAS

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    1. Roberta Ara & John Brazier & Tessa Peasgood & Suzy Paisley, 2017. "The Identification, Review and Synthesis of Health State Utility Values from the Literature," PharmacoEconomics, Springer, vol. 35(1), pages 43-55, December.
    2. 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.
    3. Monica Hernandez Alava & Allan Wailoo, 2015. "Fitting adjusted limited dependent variable mixture models to EQ-5D," Stata Journal, StataCorp LP, vol. 15(3), pages 737-750, September.
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    1. Roberta Ara & John Brazier & Tracey Young, 2017. "Recommended Methods for the Collection of Health State Utility Value Evidence in Clinical Studies," PharmacoEconomics, Springer, vol. 35(1), pages 67-75, December.
    2. Aileen R. Neilson & Gareth T. Jones & Gary J. Macfarlane & Ejaz MI Pathan & Paul McNamee, 2022. "Generating EQ-5D-5L health utility scores from BASDAI and BASFI: a mapping study in patients with axial spondyloarthritis using longitudinal UK registry data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(8), pages 1357-1369, November.
    3. Roberta Ara & John Brazier & Tessa Peasgood & Suzy Paisley, 2017. "The Identification, Review and Synthesis of Health State Utility Values from the Literature," PharmacoEconomics, Springer, vol. 35(1), pages 43-55, December.
    4. Fan Yang & Carlos K. H. Wong & Nan Luo & James Piercy & Rebecca Moon & James Jackson, 2019. "Mapping the kidney disease quality of life 36-item short form survey (KDQOL-36) to the EQ-5D-3L and the EQ-5D-5L in patients undergoing dialysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(8), pages 1195-1206, November.
    5. Roberta Ara & John Brazier & Ismail Azzabi Zouraq, 2017. "The Use of Health State Utility Values in Decision Models," PharmacoEconomics, Springer, vol. 35(1), pages 77-88, December.

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