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

Donna Rowen, Alexander Labeit, Katherine Stevens, Jackie Elliott, Brendan Mulhern, Jill Carlton, Hasan Basarir and John Brazier
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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
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
John Brazier: School of Health and Related Research, University of Sheffield, Sheffield, UK

Medical Decision Making, 2018, vol. 38, issue 6, 699-707

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.

Keywords: diabetes; discrete choice experiment; health-related quality of life; preference-based measures; quality-adjusted life years (QALY); quality of life; self-management (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:sae:medema:v:38:y:2018:i:6:p:699-707

DOI: 10.1177/0272989X18784291

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