Evidence map›Paper›PMID 35619044›Full record

SynthesisPharmacoEconomics2022

Preference Elicitation Techniques Used in Valuing Children's Health-Related Quality-of-Life: A Systematic Review.

Cate Bailey, Martin Howell, Rakhee Raghunandan, Amber Salisbury, Gang Chen, Joanna Coast, Jonathan C Craig, Nancy J Devlin, Elisabeth Huynh, Emily Lancsar and 8 more

Abstract readSystematic Review
In one paragraph

Synthesis in PharmacoEconomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Valuation of the EQ-5D-Y-5L Using DCE Methods That Account for Nonlinear Time Preferences.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
    Article
  2. Nothing about us, without us? A reflection on and call for involving children in the process of valuing child health.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  3. Valuing health states for infants and toddlers: challenges and methodological considerations in EQ-TIPS preference elicitation.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. An Australian Value Set for the EQ-5D-Y-3L.Health and quality of life outcomes · 2025
    Article
  8. Article
  9. Article
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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

18 authors.

Cate Bailey *Health Economics Unit, Melbourne School of Population and Global Health, University of Melbourne, Carlton, Melbourne, VIC, Australia. cate.bailey@unimelb.edu.au.ORCID http://orcid.org/0000-0001-5030-430X
Martin Howell *School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0001-9740-712X
Rakhee RaghunandanSchool of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0001-7848-6109
Amber SalisburySchool of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0003-1557-5918
Gang ChenCentre for Health Economics, Monash University, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-8385-5965
Joanna CoastHealth Economics Bristol, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-3537-5166
Jonathan C CraigCollege of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.ORCID http://orcid.org/0000-0002-2548-4035
Nancy J DevlinCentre for Health Policy, University of Melbourne, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-1561-5361
Elisabeth HuynhDepartment of Health Services and Policy Research, Research School of Population Health, Australian National University, Canberra, ACT, Australia.ORCID http://orcid.org/0000-0002-1855-3143
Emily LancsarDepartment of Health Services and Policy Research, Research School of Population Health, Australian National University, Canberra, ACT, Australia.ORCID http://orcid.org/0000-0003-2404-6735
Brendan J MulhernCentre for Health Economics, Research and Evaluation (CHERE), University of Technology Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0003-3656-8063
Richard NormanSchool of Population Health, Curtin University, Perth, WA, Australia.ORCID http://orcid.org/0000-0002-3112-3893
Stavros PetrouNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-3121-6050
Julie RatcliffeCaring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, SA, Australia.ORCID http://orcid.org/0000-0001-7365-1988
Deborah J StreetCentre for Health Economics, Research and Evaluation (CHERE), University of Technology Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-4476-0656
Kirsten Howard *School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-0918-7540
Rosalie Viney *Centre for Health Economics, Research and Evaluation (CHERE), University of Technology Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-0039-9635
Quality of Life in Kids: Key Evidence to Strengthen Decisions in Australia (QUOKKA), Tools for Outcomes Research to Measure, Value Child Health (TORCH) Project Teams

Funding

Medical Research Council G0501681
6 · The paper itself

Abstract

BACKGROUND AND

objectivesValuing children's health states for use in economic evaluations is globally relevant and is of particular relevance in jurisdictions where a cost-utility analysis is the preferred form of analysis for decision making. Despite this, the challenges with valuing child health mean that there are many remaining questions for debate about the approach to elicitation of values. The aim of this paper was to identify and describe the methods used to value children's health states and the specific issues that arise in the use of these methods.

methodsWe conducted a systematic search of electronic databases to identify studies published in English since 1990 that used preference elicitation methods to value child and adolescent (under 18 years of age) health states. Eligibility criteria comprised valuation studies concerning both child-specific patient-reported outcome measures and child health states defined in other ways, and methodological studies of valuation approaches that may or may not have yielded a value set algorithm.

resultsA total of 77 eligible studies were identified from which data on country setting, aims, condition (general population or clinically specific), sample size, age of respondents, the perspective that participants were asked to adopt, source of values (respondents who completed the preference elicitation tasks) and methods questions asked were extracted. Extracted data were classified and evaluated using narrative synthesis methods. The studies were classified into three groups: (1) studies comparing elicitation methods (n = 30); (2) studies comparing perspectives (n = 23); and (3) studies where no comparisons were presented (n = 26); selected studies could fall into more than one group. Overall, the studies varied considerably both in methods used and in reporting. The preference elicitation tasks included time trade-off, standard gamble, visual analogue scaling, rating/ranking, discrete choice experiments, best-worst scaling and willingness to pay elicited through a contingent valuation. Perspectives included adults' considering the health states from their own perspective, adults taking the perspective of a child (own, other, hypothetical) and a child/adolescent taking their own or the perspective of another child. There was some evidence that children gave lower values for comparable health states than did adults that adopted their own perspective or adult/parents that adopted the perspective of children.

conclusionsDifferences in reporting limited the conclusions that can be formed about which methods are most suitable for eliciting preferences for children's health and the influence of differing perspectives and values. Difficulties encountered in drawing conclusions from the data (such as lack of consensus and poor reporting making it difficult for users to choose and interpret available values) suggest that reporting guidelines are required to improve the consistency and quality of reporting of studies that value children's health using preference-based techniques.

Indexed as

Child HealthQuality of LifeAdolescentAdultChildCost-Benefit AnalysisHumansParentsResearch Design

Identifiers

PMID35619044
PMCPMC9270310

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.