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Estimating a Preference-Based Single Index Measuring the Quality-of-Life Impact of Self-Management for Diabetes

Author

Listed:
  • Donna Rowen

    (School of Health and Related Research, University of Sheffield, Sheffield, UK)

  • Alexander Labeit

    (School of Health and Related Research, University of Sheffield, Sheffield, UK
    Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, UK)

  • Katherine Stevens

    (School of Health and Related Research, University of Sheffield, Sheffield, UK)

  • Jackie Elliott

    (Academic Unit of Diabetes, Endocrinology and Metabolism, Department of Oncology & Metabolism, University of Sheffield, Sheffield, UK)

  • Brendan Mulhern

    (Centre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, Australia)

  • Jill Carlton

    (School of Health and Related Research, University of Sheffield, Sheffield, UK)

  • Hasan Basarir

    (RTI Health Solutions, Manchester, UK)

  • John Brazier

    (School of Health and Related Research, University of Sheffield, Sheffield, UK)

Abstract

Objective. Self-management is becoming increasingly important in diabetes but is neglected in conventional preference-based measures. The objective of this paper was to generate health state utility values for a novel classification system measuring the quality-of-life impact of self-management for diabetes, which can be used to generate quality-adjusted life years (QALYs). Methods. A large online survey was conducted using a discrete choice experiment (DCE), with duration as an additional attribute, on members of the UK general population ( n = 1,493) to elicit values for health (social limitations, mood, vitality, hypoglycaemia) and non-health (stress, hassle, control, support) aspects of self-management in diabetes. The data were modelled using a conditional fixed-effects logit model and utility estimates were anchored on the one to zero (full health to dead) scale. Results. The model produced significant and consistent coefficients, with one logical inconsistency and 3 insignificant coefficients for the milder levels of some attributes. The anchored utilities ranged from 1 for the best state to −0.029 for the worst state (meaning worse than dead) defined by the classification system. Conclusion. The results presented here can potentially be used to generate utility values capturing the day to day impact of interventions in diabetes on both health and self-management. These utility values can potentially be used to generate QALYs for economic models of the cost-effectiveness of interventions in diabetes.

Suggested Citation

  • Donna Rowen & Alexander Labeit & Katherine Stevens & Jackie Elliott & Brendan Mulhern & Jill Carlton & Hasan Basarir & John Brazier, 2018. "Estimating a Preference-Based Single Index Measuring the Quality-of-Life Impact of Self-Management for Diabetes," Medical Decision Making, , vol. 38(6), pages 699-707, August.
    • Handle: RePEc:sae:medema:v:38:y:2018:i:6:p:699-707
    DOI: 10.1177/0272989X18784291
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    References listed on IDEAS

    as
    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. Anna Månsdotter & Björn Ekman & Inna Feldman & Lars Hagberg & Anna-Karin Hurtig & Lars Lindholm, 2017. "We Propose a Novel Measure for Social Welfare and Public Health: Capability-Adjusted Life-Years, CALYs," Applied Health Economics and Health Policy, Springer, vol. 15(4), pages 437-440, August.
    3. Richard Norman & Paula Cronin & Rosalie Viney, 2013. "A Pilot Discrete Choice Experiment to Explore Preferences for EQ-5D-5L Health States," Applied Health Economics and Health Policy, Springer, vol. 11(3), pages 287-298, June.
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