ArticleApplied health economics and health policy2023
Psychometric Evaluation of the PedsQL GCS and CHU9D in Australian Children and Adolescents with Common Chronic Health Conditions.
Article 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 8 papers.
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Inequity in quality of life among culturally and linguistically diverse children in Australia.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Article
- 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 · 2026Article
- Cultural adaptation and psychometric evaluation of the CHU-9D in Hong Kong adolescents.Health and quality of life outcomes · 2026Article
- Adherence to 24-hour movement guidelines and health-related quality of life from childhood to late adolescence: a prospective cohort study of Australian youth.BMC public health · 2026Article
- Comparison of the psychometric performance of experimental EuroQol Toddler and Infant Populations Instrument (EQ-TIPS) and Pediatric Quality of Life Inventory™ (PedsQL) in young children.The European journal of health economics : HEPAC : health economics in prevention and care · 2026Article
- 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 · 2025Article
- Burden of Duchenne muscular dystrophy in Australia: a scoping review.BMJ neurology open · 2025Article
- Meeting the Challenges of Preference-Weighted Health-Related Quality-of-Life Measurement in Children.PharmacoEconomics · 2024Article
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Authors and funding
11 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGeneric instruments such as the Pediatric Quality of Life Inventory™ v4.0 Generic Core Scales (PedsQL GCS) and Child Health Utility 9D (CHU9D) are widely used to assess health-related quality of life (HRQOL) of the general childhood population, but there is a paucity of information about their psychometric properties in children with specific health conditions. This study assessed psychometric properties, including acceptability, reliability, validity, and responsiveness, of the PedsQL GCS and the CHU9D in children and adolescents with a range of common chronic health problems.
methodsWe used data from the Longitudinal Study of Australian Children (LSAC), for children aged 10-17 years with at least one of the following six parent-reported health conditions: asthma, anxiety/depression, attention deficit hyperactivity disorder (ADHD), autism/Asperger's, epilepsy, and type 1 diabetes mellitus. The LSAC used parent proxy-reported PedsQL GCS and child self-reported CHU9D assessments. The performance of each instrument (PedsQL GCS and CHU9D) for each psychometric property (acceptability, reliability, validity, and responsiveness) was assessed against established criteria.
resultsThe study sample included 7201 children and adolescents (mean age = 14 years; range 10.1-17.9 years; 49% female) with 15,568 longitudinal observations available for analyses. Across the six health conditions, acceptability of the PedsQL GCS was high, while acceptability for the CHU9D was mixed. Both the PedsQL GCS and CHU9D showed strong internal consistency (Cronbach's alpha range: PedsQL GCS = 0.70-0.95, CHU9D = 0.76-0.84; item-total correlations range: PedsQL GCS = 0.35-0.84, CHU9D = 0.32-0.70). However, convergent validity for both the PedsQL GCS and CHU9D was generally weak (Spearman's correlations ≤ 0.3). Known group validity was strong for the PedsQL GCS (HRQOL differences were detected for children with and without asthma, anxiety/depression, ADHD, autism/Asperger's, and epilepsy). CHU9D was only able to discriminate between children with and without anxiety/depression, ADHD, and autism/Asperger's. The responsiveness of both the PedsQL GCS and CHU9D was variable across the six conditions, and most of the estimated effect sizes were relatively small (< 0.5).
conclusionThis study expands the evidence base of psychometric performance of the PedsQL GCS and CHU9D and can aid in appropriate HRQOL instrument selection for the required context by researchers and clinicians.
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