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Estimating Preference-Based Health Utilities Index Mark 3 Utility Scores for Childhood Conditions in England and Scotland

Author

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  • Stavros Petrou

    (National Perinatal Epidemiology Unit, University of Oxford, Oxford, England, stavros.petrou@npeu.ox.ac.uk, Health Economics Research Centre, University of Oxford, Oxford, England)

  • Emil Kupek

    (National Perinatal Epidemiology Unit, University of Oxford, Oxford, England)

Abstract

Background . A common feature of studies that have compiled lists or catalogues of preference-based health-related quality-of-life weights for inclusion within quality-adjusted life years (QALYs) is their focus upon adult populations. More generally, utility measurement in or on behalf of children has been constrained by a number of methodological concerns. Objective . To augment previous catalogues of preference-based health-related quality-of-life weights by estimating preference-based Health Utilities Index Mark 3 (HUI3) multiattribute utility scores associated with a wide range of childhood conditions. Methods . Data for 2236 children from the ``Disability Survey 2000: Survey of Young People With a Disability and Sport'' formed the basis of this investigation. Ordinary least squares (OLS), Tobit, and censored least absolute deviations (CLAD) regression methods were used to estimate adjusted marginal disutilities for each condition from 2 thresholds: 1) a threshold of 1.0 representing perfect health and 2) a normative childhood utility threshold. Results . Prespecified statistical tests indicated a preference for the OLS regression model over the Tobit and CLAD models. The unadjusted mean, median, 25th percentile and 75th percentile HUI3 multiattribute utility scores and adjusted marginal disutilities are presented for 43 conditions. Notably, based on the OLS estimator, the adjusted marginal disutilities for hydrocephalus; learning and physical disabilities; other syndromes and associations; meningitis, encephalitis, and other infections of the central nervous system; and microcephaly were estimated at —0.889 (95% confidence interval [CI]: —0.727, —1.000), —0.858 (95% CI: —0.727, —0.989), —0.838 (95% CI: —0.668, —1.000), —0.826 (95% CI: —0.677, —0.975), and —0.820 (95% CI: —0.670, —0.970), respectively, when a perfect health threshold was applied, and —0.814 (95% CI: —0.656, —0.979), —0.783 (95% CI: —0.656, —0.918), —0.763 (95% CI: —0.597, —0.937), —0.751 (95% CI: —0.606, —0.904), and —0.745 (95% CI: —0.598, —0.899), respectively, when a normative childhood utility threshold was applied. Conclusion . Our estimates and their associated distributions can be used for the purposes of QALY estimation by analysts conducting economic evaluations within the childhood context.

Suggested Citation

  • Stavros Petrou & Emil Kupek, 2009. "Estimating Preference-Based Health Utilities Index Mark 3 Utility Scores for Childhood Conditions in England and Scotland," Medical Decision Making, , vol. 29(3), pages 291-303, May.
    • Handle: RePEc:sae:medema:v:29:y:2009:i:3:p:291-303
    DOI: 10.1177/0272989X08327398
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    References listed on IDEAS

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    1. Brazier, John & Ratcliffe, Julie & Salomon, Joshua & Tsuchiya, Aki, 2016. "Measuring and Valuing Health Benefits for Economic Evaluation," OUP Catalogue, Oxford University Press, edition 2, number 9780198725923.
    2. Michael B. Nichol & Nishan Sengupta & Denise R. Globe, 2001. "Evaluating Quality-Adjusted Life Years," Medical Decision Making, , vol. 21(2), pages 105-112, April.
    3. W Furlong & D Feeny & G Torrance & C Goldsmith & S DePauw & Z Zhu & M Denton & M Boyle, 1998. "Multiplicative Multi-Attribute Utility Function for the Health Utilities Index Mark 3 (HUI3) System: A Technical Report," Centre for Health Economics and Policy Analysis Working Paper Series 1998-11, Centre for Health Economics and Policy Analysis (CHEPA), McMaster University, Hamilton, Canada.
    4. Drummond, Michael F. & Sculpher, Mark J. & Torrance, George W. & O'Brien, Bernie J. & Stoddart, Greg L., 2005. "Methods for the Economic Evaluation of Health Care Programmes," OUP Catalogue, Oxford University Press, edition 3, number 9780198529453.
    5. Alan Maynard;Karen Bloor, 1998. "Our Certain Fate: Rationing in Health Care," Monograph 000443, Office of Health Economics.
    6. William J Furlong & David H. Feeny & George W. Torrance & Ronald D. Barr, 2001. "The Health Utilities Index (HUI®) System for Assessing Health-Related Quality of Life in Clinical Studies," Centre for Health Economics and Policy Analysis Working Paper Series 2001-02, Centre for Health Economics and Policy Analysis (CHEPA), McMaster University, Hamilton, Canada.
    7. Stavros Petrou, 2003. "Methodological issues raised by preference‐based approaches to measuring the health status of children," Health Economics, John Wiley & Sons, Ltd., vol. 12(8), pages 697-702, August.
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    2. Michela Meregaglia & Elena Nicod & Michael Drummond, 2023. "The estimation of health state utility values in rare diseases: do the approaches in submissions for NICE technology appraisals reflect the existing literature? A scoping review," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(7), pages 1151-1216, September.
    3. J. Tilford & Nalin Payakachat & Erica Kovacs & Jeffrey Pyne & Werner Brouwer & Todd Nick & Jayne Bellando & Karen Kuhlthau, 2012. "Preference-Based Health-Related Quality-of-Life Outcomes in Children with Autism Spectrum Disorders," PharmacoEconomics, Springer, vol. 30(8), pages 661-679, August.

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