Evidence map›Paper›PMID 41779236›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2026

Understanding decision-making strategies in discrete choice experiment tasks when valuing health states that include duration, a cognitive interview study with Australian adults.

Tessa Peasgood, Jill Carlton, Richard Norman, Donna Rowen, Marcel Jonker

Abstract read
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Tessa PeasgoodSchool of Medicine and Population Health, University of Sheffield, Sheffield, UK. T.Peasgood@sheffield.ac.uk.ORCID http://orcid.org/0000-0001-8024-7801
Jill CarltonSchool of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0002-9373-7663
Richard NormanCurtin School of Population Health, Perth, Australia.ORCID http://orcid.org/0000-0002-3112-3893
Donna RowenSchool of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0003-3018-5109
Marcel JonkerErasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0001-8433-1402

Funding

EuroQol Research Foundation EQ project 2019-1180
6 · The paper itself

Abstract

objectivesThis study examined how participants engage with Discrete Choice Experiments (DCE) with duration tasks for valuing health states, including time preferences, and consideration of interactions between health and duration attributes. It also examined how task layout, colour, and language, particularly how dying is described, influenced decision-making.

methodsTwenty-one adults undertook online cognitive interviews while completing DCE tasks. Tasks involved health and duration attributes, with varying durations (weeks to 20 years) and split triplet designs in which respondents first choose between health states with the same duration and then between one of those health states and either full health for a shorter duration or immediate death. Data were analysed using Framework Analysis with iterative coding and a final thematic framework.

resultsParticipants showed willingness to trade life-years for better health, evidence of Maximum Endurable Time, and high value placed on final weeks for closure and goodbyes. Some participants interacted health attributes with duration where duration differed, while others did not. No additional clear evidence of discounting future time emerged. Some participants had emotive reactions to specific phrasing, underscoring the impact of inconsistent wording between choices. Overlapping domains, particularly combined with the use of colour, made tasks easier but sometimes led to ignored domains when duration varied. Participants struggled with hypothetical scenarios and unfamiliar health attributes.

conclusionsConsidering the complexity of decision-making and the influence of framing, presentation and language can inform design and modelling choices for DCE with duration studies.

Indexed as

Choice BehaviorDecision MakingHealth StatusAdultAgedAustraliaCognitionFemaleHumansInterviews as TopicMaleMiddle AgedTime FactorsYoung AdultDCE with durationDiscrete choice experimentEQ-5D-5LHealth state valuationQualitative

Identifiers

PMID41779236
PMCPMC12960390

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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.