A new tool for creating personal and social EQ-5D-5L value sets, including valuing 'dead'.

Binary search Discrete choice experiment (DCE) EQ-5D-5L Health state preferences Health-related quality of life (HRQoL) New Zealand PAPRIKA method Value sets

Journal

Social science & medicine (1982)
ISSN: 1873-5347
Titre abrégé: Soc Sci Med
Pays: England
ID NLM: 8303205

Informations de publication

Date de publication:
02 2020
Historique:
received: 28 03 2019
revised: 20 11 2019
accepted: 27 11 2019
pubmed: 17 1 2020
medline: 23 3 2021
entrez: 17 1 2020
Statut: ppublish

Résumé

The EuroQol Group's health descriptive systems, the EQ-5D-3L and its successor introduced in 2009, the EQ-5D-5L, are widely used worldwide for valuing health-related quality of life for cost-utility analysis and patient-reported health outcome measures. A new online tool for creating personal and social EQ-5D-5L value sets was recently developed and trialled in New Zealand (NZ). The tool, which includes extensive checks of the quality of participants' data, implements the PAPRIKA method - a novel type of adaptive discrete choice experiment in the present context - and a binary search algorithm to identify any health states worse than dead. After development and testing, the tool was distributed in an online survey in February and March 2018 to a representative sample of NZ adults (N = 5112), whose personal value sets were created. The tool's extensive data quality checks resulted in a 'high-quality' sub-sample of 2468 participants whose personal value sets were, in effect, averaged to create a social value set for NZ. These results overall as well as feedback from participants indicates that the new valuation tool is feasible and acceptable to participants, enabling valuation data to be relatively easily and cheaply collected. The tool could also be used in other countries, tested against other methods for creating EQ-5D-5L value sets, applied in personalised medicine and adapted to create value sets for other health descriptive systems.

Identifiants

pubmed: 31945596
pii: S0277-9536(19)30702-6
doi: 10.1016/j.socscimed.2019.112707
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

112707

Informations de copyright

Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The second and third authors have ownership interests in 1000minds Ltd, whose software is used for the valuation tool; the fourth and fifth authors are members of the EuroQol Group.

Auteurs

Trudy Sullivan (T)

Department of Preventive and Social Medicine, University of Otago, Dunedin, New Zealand. Electronic address: trudy.sullivan@otago.ac.nz.

Paul Hansen (P)

Department of Economics, University of Otago, Dunedin, New Zealand; 1000minds Ltd, Wellington, New Zealand. Electronic address: paul.hansen@otago.ac.nz.

Franz Ombler (F)

1000minds Ltd, Wellington, New Zealand. Electronic address: franz@1000minds.com.

Sarah Derrett (S)

Department of Preventive and Social Medicine, University of Otago, Dunedin, New Zealand. Electronic address: sarah.derrett@otago.ac.nz.

Nancy Devlin (N)

Centre for Health Policy, University of Melbourne, Melbourne, Australia. Electronic address: nancy.devlin@unimelb.edu.au.

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Classifications MeSH