Evidence map›Paper›PMID 38744798›Full record

ArticleThe patient2025

Putting the Choice in Choice Tasks: Incorporating Preference Elicitation Tasks in Health Preference Research.

Jennifer A Whitty, Emily Lancsar, Richard De Abreu Lourenco, Kirsten Howard, Elly A Stolk

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Article in The patient, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

6 citing papers in PubMed.

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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.

Jennifer A WhittyPatient-Centred Research, Evidera, London, UK. jenny.whitty@evidera.com.ORCID 0000-0002-5886-1933
Emily LancsarDepartment of Health Economics Wellbeing and Society, Australian National University, Acton, ACT, Australia.ORCID 0000-0003-2404-6735
Richard De Abreu LourencoCentre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, NSW, Australia.ORCID 0000-0002-5978-8774
Kirsten HowardMenzies Centre for Health Policy and Economics, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, 2006, Australia.ORCID 0000-0002-0918-7540
Elly A StolkErasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0001-5968-0416

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Choice-based preference elicitation methods such as the discrete choice experiment (DCE) present hypothetical choices to respondents, with an expectation that these hypothetical choices accurately reflect a 'real world' health-related decision context and that consequently the choice data can be held to be a true representation of the respondent's health or treatment preferences. For this to be the case, careful consideration needs to be given to the format of the choice task in a choice experiment. The overarching aim of this paper is to highlight important aspects to consider when designing and 'setting up' the choice tasks to be presented to respondents in a DCE. This includes the importance of considering the potential impact of format (e.g. choice context, choice set presentation and size) as well as choice set content (e.g. labelled and unlabelled choice sets and inclusion of reference alternatives) and choice questions (stated choice versus additional questions designed to explore complete preference orders) on the preference estimates that are elicited from studies. We endeavoure to instil a holistic approach to choice task design that considers format alongside content, experimental design and analysis.

Indexed as

Choice BehaviorPatient PreferenceResearch DesignDecision MakingHumans

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.