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Estimating an exchange-rate between care-related and health-related quality of life outcomes for economic evaluation: An application of the wellbeing valuation method

  • Nishit Dhanji
  • , Werner Brouwer
  • , Cam Donaldson
  • , Eve Wittenberg
  • , Hareth Al-Janabi*
  • *Corresponding author for this work
  • University of Birmingham
  • Glasgow Caledonian University
  • Harvard University

Research output: Contribution to journalArticleAcademicpeer-review

9 Citations (Scopus)
198 Downloads (Pure)

Abstract

Quality of life outcomes for family carers and patients may be measured in different ways within the same economic evaluation. We used the wellbeing valuation method to calculate “exchange rates” between care-related outcomes (the Carer Experience Scale and CarerQoL-7D) and health-related (the EQ-5D-5L) outcomes. Data on quality of life outcomes were collected through a postal quality of life survey in the UK. A random effects model was used to estimate carers' wellbeing as a function of their EQ-5D-5L, Carer Experience Scale (or CarerQoL-7D) and a set of control variables. When life satisfaction was used as the measure of wellbeing, a one-point gain in the Carer Experience Scale (0–100 scale) was equivalent (in wellbeing terms) to a 0.014 gain in EQ-5D-5L value; and a one point gain in the CarerQoL-7D (0–100 scale) was equivalent to a 0.033 gain in EQ-5D-5L. The exchange rate values were reduced when capability was used as the measure of wellbeing. The exchange rates estimated in this study offer a means to place carer and patient outcomes, measured via different quality of life instruments, on a common scale, although there are important issues to consider in operationalising the technique.

Original languageEnglish
Pages (from-to)2847-2857
Number of pages11
JournalHealth Economics (United Kingdom)
Volume30
Issue number11
Early online date28 Aug 2021
DOIs
Publication statusPublished - Nov 2021

Bibliographical note

Funding Information:
We are grateful to the survey participants and we also thank members of our lay panel (Jenny Coles, John Copping, Jacky Murphy and Jean Nicholls) and scientific advisory panel (chaired by Joanna Coast) for advice on the work. We are also grateful to NatCen Social Research and the Department for Work and Pensions for their support in establishing a sample frame for this study. We are grateful to Helen Dakin and the audience for discussing the paper at the Health Economists' Study Group (HESG) conference (Newcastle 2020). This research was funded by a National Institute for Health Research (NIHR) Career Development Fellowship awarded to HA (award number: CDF‐2015‐08‐025). This paper presents independent research funded by the National Institute for Health Research (NIHR). The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care.

Publisher Copyright:
© 2021 John Wiley & Sons Ltd.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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