Evidence map›Paper›PMID 37133712›Full record

SynthesisApplied health economics and health policy2023

Systematic Review of the Psychometric Performance of Generic Childhood Multi-attribute Utility Instruments.

Joseph Kwon, Sarah Smith, Rakhee Raghunandan, Martin Howell, Elisabeth Huynh, Sungwook Kim, Thomas Bentley, Nia Roberts, Emily Lancsar, Kirsten Howard and 3 more

Abstract readSystematic Review
In one paragraph

Synthesis in Applied health economics and health policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Measuring quality of life in autistic children and young people: comparing the performance of common generic health related quality of life instruments.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  6. Multinational stakeholder engagement to inform future development and refinement of the EuroQol toddler and infant populations (EQ-TIPS).The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  7. Comparing the measurement properties of the EQ-5D-Y-3L and EQ-5D-3L in a general population sample of adults.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  8. Developing the EuroQol toddler and infant populations (EQ-TIPS) instrument: qualitative analysis of expert views on content validity and conceptual challenges.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  9. Review
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  11. Comparing the measurement properties of the EQ-5D-Y-3L, EQ-5D-Y-5L and CHU9D in children and adolescents: a measurement property study.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    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

13 authors.

Joseph KwonNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0002-2860-7280
Sarah SmithDepartment of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0002-2013-6963
Rakhee RaghunandanSchool of Public Health, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0001-7848-6109
Martin HowellSchool of Public Health, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0001-9740-712X
Elisabeth HuynhDepartment of Health Services Research and Policy, Australian National University, Canberra, ACT, Australia.ORCID 0000-0002-1855-3143
Sungwook KimNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0002-1254-5038
Thomas BentleyMedical Sciences Division, University of Oxford, Oxford, UK.ORCID 0000-0002-7124-4737
Nia RobertsBodleian Health Care Libraries, University of Oxford, Oxford, UK.ORCID 0000-0002-1142-6440
Emily LancsarDepartment of Health Services Research and Policy, Australian National University, Canberra, ACT, Australia.ORCID 0000-0003-2404-6735
Kirsten HowardSchool of Public Health, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-0918-7540
Germaine WongSchool of Public Health, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0001-8422-7269
Jonathan CraigCollege of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.ORCID 0000-0002-2548-4035
Stavros PetrouNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK. stavros.petrou@phc.ox.ac.uk.ORCID 0000-0003-3121-6050

Funding

Medical Research Future Fund Australia MRF1199902Medical Research Future Fund Australia MRF1200816
6 · The paper itself

Abstract

backgroundChildhood multi-attribute utility instruments (MAUIs) can be used to measure health utilities in children (aged ≤ 18 years) for economic evaluation. Systematic review methods can generate a psychometric evidence base that informs their selection for application. Previous reviews focused on limited sets of MAUIs and psychometric properties, and only on evidence from studies that directly aimed to conduct psychometric assessments.

objectiveThis study aimed to conduct a systematic review of psychometric evidence for generic childhood MAUIs and to meet three objectives: (1) create a comprehensive catalogue of evaluated psychometric evidence; (2) identify psychometric evidence gaps; and (3) summarise the psychometric assessment methods and performance by property.

methodsA review protocol was registered with the Prospective Register of Systematic Reviews (PROSPERO; CRD42021295959); reporting followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guideline. The searches covered seven academic databases, and included studies that provided psychometric evidence for one or more of the following generic childhood MAUIs designed to be accompanied by a preference-based value set (any language version): 16D, 17D, AHUM, AQoL-6D, CH-6D, CHSCS-PS, CHU9D, EQ-5D-Y-3L, EQ-5D-Y-5L, HUI2, HUI3, IQI, QWB, and TANDI; used data derived from general and/or clinical childhood populations and from children and/or proxy respondents; and were published in English. The review included 'direct studies' that aimed to assess psychometric properties and 'indirect studies' that generated psychometric evidence without this explicit aim. Eighteen properties were evaluated using a four-part criteria rating developed from established standards in the literature. Data syntheses identified psychometric evidence gaps and summarised the psychometric assessment methods/results by property.

resultsOverall, 372 studies were included, generating a catalogue of 2153 criteria rating outputs across 14 instruments covering all properties except predictive validity. The number of outputs varied markedly by instrument and property, ranging from 1 for IQI to 623 for HUI3, and from zero for predictive validity to 500 for known-group validity. The more recently developed instruments targeting preschool children (CHSCS-PS, IQI, TANDI) have greater evidence gaps (lack of any evidence) than longer established instruments such as EQ-5D-Y, HUI2/3, and CHU9D. The gaps were prominent for reliability (test-retest, inter-proxy-rater, inter-modal, internal consistency) and proxy-child agreement. The inclusion of indirect studies (n = 209 studies; n = 900 outputs) increased the number of properties with at least one output of acceptable performance. Common methodological issues in psychometric assessment were identified, e.g., lack of reference measures to help interpret associations and changes. No instrument consistently outperformed others across all properties.

conclusionThis review provides comprehensive evidence on the psychometric performance of generic childhood MAUIs. It assists analysts involved in cost-effectiveness-based evaluation to select instruments based on the application-specific minimum standards of scientific rigour. The identified evidence gaps and methodological issues also motivate and inform future psychometric studies and their methods, particularly those assessing reliability, proxy-child agreement, and MAUIs targeting preschool children.

Indexed as

Outcome Assessment, Health CareQuality of LifeChildChild, PreschoolCost-Benefit AnalysisHumansPsychometricsReproducibility of ResultsSurveys and Questionnaires

Identifiers

PMID37133712
PMCPMC10232649

What OpenQuestion 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 OpenQuestion graph.