Evidence map›Paper›PMID 36698179›Full record

ArticleHealth and quality of life outcomes2023

How do common conditions impact health-related quality of life for children? Providing guidance for validating pediatric preference-based measures.

Xiuqin Xiong, Kim Dalziel, Li Huang, Brendan Mulhern, Natalie Carvalho

Abstract read
In one paragraph

Article in Health and quality of life outcomes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. 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
  2. Article
  3. Comparison of the early childhood oral health impact scale (ECOHIS-4D) and EuroQol-5D-Y for measuring oral health-related quality of life utility in children.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  4. Measuring health-related quality of life in children with suspected genetic conditions: validation of the PedsQL proxy-report versions.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  5. Review
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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.

Xiuqin XiongCentre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia.
Kim DalzielCentre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia.
Li HuangCentre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia.
Brendan MulhernCentre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, NSW, Australia.
Natalie CarvalhoCentre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia. natalie.carvalho@unimelb.edu.au.

Funding

China Scholarship Council 201906010310
6 · The paper itself

Abstract

backgroundThere is increasing interest in the validation of pediatric preference-based health-related quality of life measurement instruments. It is critical that children with various degrees of health-related quality of life (HRQoL) impact are included in validation studies. To inform patient sample selection for validation studies from a pragmatic perspective, this study explored HRQoL impairments between known-groups and HRQoL changes over time across 27 common chronic child health conditions and identified conditions with the largest impact on HRQoL.

methodsThe health dimensions of two common preference-based HRQoL measures, the EQ-5D-Y and CHU9D, were constructed using Pediatric Quality of Life Inventory items that overlap conceptually. Data was from the Longitudinal Study of Australian Children, a nationally representative sample with over 10,000 children at baseline. Seven waves of data were included for the analysis, with child age ranging from 2 to18 years. Impacts to specific health dimensions and overall HRQoL between those having a specific condition versus not were compared using linear mixed effects models. HRQoL changes over time were obtained by calculating the HRQoL differences between two consecutive time points, grouped by "Improved" and "Worsened" health status. Comparison among various health conditions and different age groups (2-4 years, 5-12 years and 13-18 years) were made.

resultsConditions with the largest statistically significant total HRQoL impairments of having a specific condition compared with not having the condition were recurrent chest pain, autism, epilepsy, anxiety/depression, irritable bowel, recurrent back pain, recurrent abdominal pain, and attention deficit hyperactivity disorder (ADHD) for the total sample (2-18 years). Conditions with largest HRQoL improvement over time were anxiety/depression, ADHD, autism, bone/joint/muscle problem, recurrent abdominal pain, recurrent pain in other part, frequent headache, diarrhea and day-wetting. The dimensions included in EQ-5D-Y and CHU9D can generally reflect HRQoL differences and changes. The HRQoL impacts to specific health dimensions differed by condition in the expected direction. The conditions with largest HRQoL impacts differed by age group.

conclusionsThe conditions with largest HRQoL impact were identified. This information is likely to be valuable for recruiting patient samples when validating pediatric preference-based HRQoL instruments pragmatically.

Indexed as

Chronic PainQuality of LifeAdolescentAustraliaChildChild, PreschoolChronic DiseaseHealth StatusHumansLongitudinal StudiesSurveys and QuestionnairesChildrenCHU9DDimensionEQ-5D-YHRQoLKnown-group validityPedsQLPreference-based measuresResponsivenessValidation

Identifiers

PMID36698179
PMCPMC9878815

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LicenceCC BY
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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.