Evidence map›Paper›PMID 35322304›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2022

The use of composite time trade-off and discrete choice experiment methods for the valuation of the Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS): a think-aloud study.

Hei Hang Edmund Yiu, Hareth Al-Janabi, Sarah Stewart-Brown, Stavros Petrou, Jason Madan

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Understanding decision-making strategies in discrete choice experiment tasks when valuing health states that include duration, a cognitive interview study with Australian adults.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hei Hang Edmund YiuClinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK. H.Yiu@warwick.ac.uk.ORCID http://orcid.org/0000-0002-1492-9414
Hareth Al-JanabiCollege of Medical and Dental Sciences, Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, UK.
Sarah Stewart-BrownDivision of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK.
Stavros PetrouNuffield Department of Primary Care Health Sciences, University of Oxford, Woodstock Road, Oxford, UK.
Jason MadanClinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo identify patterns and problems in completing composite time trade-off (C-TTO) and discrete choice experiment (DCE) exercises for the valuation of the Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS) to inform the optimisation of a valuation protocol.

methodsFourteen cognitive interviews were conducted in the UK using concurrent and retrospective think-aloud and probing techniques. Each participant completed 8 C-TTO tasks and 8 DCE tasks within a computer-assisted personal interview setting. Verbal information was transcribed verbatim. Axial coding and thematic analysis were used to organise the qualitative data and identify patterns and problems with the completion of tasks.

resultsWhile participants found the tasks generally manageable, five broad themes emerged to explain and optimise the response to the tasks. (1) Format and structure: attention to the design of practice examples, instructions, and layout were needed. (2) Items and levels: underlying relationships were discovered across different combinations of levels of SWEMWBS items. (3) Decision heuristics: participants engaged in diverse strategies to assist trade-off decisions. (4) Valuation feasibility: certain states were difficult to imagine, compare and quantify. (5) Valuation outcome: the data quality was affected by participants' discriminatory ability across states and their time trade-off decisions.

conclusionThe interviews contributed insights regarding the robustness of the proposed methods. The application of C-TTO and DCE valuation techniques was practical and suitable for capturing individual attitudes towards different mental well-being scenarios. A modified protocol informed by the results is being tested in a larger sample across the UK.

Indexed as

Quality of LifeResearch DesignHealth StatusHumansRetrospective StudiesSurveys and QuestionnairesTime FactorsCognitive interviewComposite time trade-offDiscrete Choice experimentPreference elicitationSWEMWBSThink-aloud

Identifiers

PMID35322304
PMCPMC8942805

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.