Evidence map›Paper›PMID 40633947›Full record

ArticleBMJ open2025

Assessing the experimental EuroQol toddler and infant populations (EQ-TIPS) descriptive system: a protocol integrating discrete choice experiment (DCE) surveys in instrument development.

Benjamin Matthew Craig, Oliver Rivero-Arias, Nancy Devlin, Janine Verstraete

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Article in BMJ open, 2025. 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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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

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Benjamin Matthew CraigEconomics, University of South Florida, Tampa, Florida, USA bcraig@usf.edu.ORCID http://orcid.org/0000-0003-1121-1316
Oliver Rivero-AriasNuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-2233-6544
Nancy DevlinHealth Economics, The University of Melbourne School of Population and Global Health, Melbourne, Victoria, Australia.
Janine VerstraetePaediatrics and Child Health, University of Cape Town, Rondebosch, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe experimental EuroQol Toddler and Infant Populations (EQ-TIPS) instrument is currently under development as a health-related quality of life (HRQoL) measure for toddlers and infants aged 0-36 months. Using this protocol, researchers can conduct surveys with discrete choice experiments (DCEs) that examine the key properties of HRQoL instruments, specifically whether severity aligns with preferences across each attribute and the extent to which attributes influence choices. To demonstrate this protocol, we will conduct two waves of DCE surveys using different choice tasks and a common scenario (a 1-month health episode for a 1-year-old child). METHODS AND ANALYSIS: In the first wave (a general population sample of 400 Australian adults; 14 kaizen tasks each), respondents will view a single EQ-TIPS-five-level (v3.0) profile for each task and be asked to make a series of choices that sequentially alleviate the child's health problems. Using this exploratory evidence, we will assess whether EQ-TIPS severity aligns with preferences and the extent to which each attribute level influences choices (ie, main effects). In the second wave (1000 Australian adults; 28 paired comparisons), respondents will see two EQ-TIPS profiles for each task and be asked to choose between them. Using this confirmatory evidence, we will compare the main effects and their uncertainty by wave. For each DCE, we will estimate a main-effects conditional logit model and test for differences in effects using cluster bootstrap techniques. As sensitivity analyses, we will evaluate the effects of task sequence, attribute order and sample size on uncertainty in each wave. ETHICS AND DISSEMINATION: The independent review board at Includovate evaluated the application for ethical clearance and approved the study on 19 February 2025. To disseminate our findings, we will prepare multiple manuscripts for publication in peer-reviewed journals and present highlights at scientific meetings, such as the EuroQol Plenary Meeting and the International Academy of Health Preference Research.

Indexed as

Choice BehaviorQuality of LifeAdultAustraliaChild, PreschoolFemaleHumansInfantInfant, NewbornMaleResearch DesignSurveys and QuestionnairesHEALTH ECONOMICSPAEDIATRICSPatient PreferencePatient Reported Outcome MeasuresQuality of Life

Identifiers

PMID40633947
PMCPMC12243590

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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.