Evidence map›Paper›PMID 37955799›Full record

ArticlePharmacoEconomics2024

Comparative Psychometric Performance of Common Generic Paediatric Health-Related Quality of Life Instrument Descriptive Systems: Results from the Australian Paediatric Multi-Instrument Comparison Study.

Renee Jones, Rachel O'Loughlin, Xiuqin Xiong, Mina Bahrampour, Nancy Devlin, Harriet Hiscock, Gang Chen, Brendan Mulhern, Kim Dalziel, Quality of Life in Kids: Key Evidence to Strengthen Decisions in Australia (QUOKKA) Project Team

Abstract readComparative Study
In one paragraph

Article in PharmacoEconomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Psychometric properties of EQ-5D-Y-3L versus EQ-5D-Y-5L Arabic versions in healthy and diseased children.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  4. Article
  5. Article
  6. 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
  7. Article
  8. Article
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  11. An Australian Value Set for the EQ-5D-Y-3L.Health and quality of life outcomes · 2025
    Article
  12. 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

10 authors.

Renee JonesHealth Economics Unit, Centre for Health Policy, The University of Melbourne, Melbourne, VIC, Australia. reneej1@student.unimelb.edu.au.ORCID http://orcid.org/0000-0002-5332-5226
Rachel O'LoughlinHealth Economics Unit, Centre for Health Policy, The University of Melbourne, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-6451-2713
Xiuqin XiongHealth Economics Unit, Centre for Health Policy, The University of Melbourne, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-1323-4223
Mina BahrampourCentre for Health Economics Research and Evaluation, University of Technology Sydney, Ultimo, NSW, Australia.ORCID http://orcid.org/0000-0002-6915-1865
Nancy DevlinHealth Economics Unit, Centre for Health Policy, The University of Melbourne, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-1561-5361
Harriet HiscockHealth Services and Economics, Murdoch Children's Research Institute, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0003-3017-2770
Gang ChenCentre for Health Economics, Monash Business School, Monash University, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-8385-5965
Brendan Mulhern *Centre for Health Economics Research and Evaluation, University of Technology Sydney, Ultimo, NSW, Australia.ORCID http://orcid.org/0000-0003-3656-8063
Kim Dalziel *Health Economics Unit, Centre for Health Policy, The University of Melbourne, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0003-4972-8871
Quality of Life in Kids: Key Evidence to Strengthen Decisions in Australia (QUOKKA) Project Team

Funding

Australian Government Medical Research Futures Fund (MRFF) 1200816EuroQol Research Foundation 330-PhDEuroQol Research Foundation 361-RANational Health and Medical Research Council 1136222
6 · The paper itself

Abstract

objectiveThe aim of this study was to compare the psychometric performance of common generic paediatric health-related quality-of-life instrument descriptive systems (PedsQL generic core 4.0, EQ-5D-Y-3L, EQ-5D-Y-5L, Child Health Utility 9D [CHU9D], Assessment of Quality of Life 6D [AQoL-6D], and Health Utilities Index Mark 3 [HUI3]) by child age, report type, and health status.

methodsData for children aged 5-18 years were from the Australian Paediatric Multi-Instrument Comparison study. Ceiling effects, test-retest reliability, known-group validity, convergent and divergent validity, and responsiveness were assessed in the total sample and by child age (5-12 years vs 13-18 years), report type (self- vs proxy report), and health status. Instruments were scored using an exploratory level sum score (LSS) approach.

resultsSurvey data were available for 5945 children, with follow-up data available for 2346 children. The EQ-5D-Y-3L demonstrated ceiling effects. The PedsQL, EQ-5D-Y-3L, EQ-5D-Y-5L, and CHU9D demonstrated acceptable test-retest reliability. All instruments demonstrated known-group, convergent, and divergent validity. The EQ-5D-Y-3L, EQ-5D-Y-5L, and CHU9D demonstrated responsiveness to improvements in health and the PedsQL, EQ-5D-Y-3L, EQ-5D-Y-5L, and CHU9D to worsening health. The AQoL-6D and HUI3 had inconclusive test-retest reliability and responsiveness evidence due to small sample size. Importantly, ceiling effects, test-retest reliability and responsiveness varied by subgroup.

conclusionResults reflect instrument performance using LSSs, which may differ to utility scores. In the total sample, the EQ-5D-Y-5L and CHU9D descriptive systems demonstrated evidence of good performance (i.e., meeting prespecified criteria) across all psychometric attributes tested. Performance varied by child age and report type, indicating room for considerations by population and study.

Indexed as

Health StatusPsychometricsQuality of LifeAdolescentAustraliaChildChild, PreschoolFemaleHumansMaleReproducibility of ResultsSurveys and Questionnaires

Identifiers

PMID37955799
PMCPMC11169028

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.