ArticlePharmacoEconomics2024
Comparing Generic Paediatric Health-Related Quality-of-Life Instruments: A Dimensionality Assessment Using Factor Analysis.
Article in PharmacoEconomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Assessing the dimensionality of the EQ-HWB-25 alongside EQ-5D-5L, QOL-ACC and ASCOT in an older adult population.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Article
- Validity and reliability of the persian adapted version of the labor pain relief attitude questionnaire for pregnant women (P-LPRAQ-p).Journal of education and health promotion · 2026Article
- Construct Validity, Dimensionality, and Internal Consistency of Psycho-social Questionnaires in Indian Young Adults: A Cross-sectional EFA-PCA-based Study.Annals of neurosciences · 2025Article
- Impact of influenza-like illnesses on health state utility value among Japanese children and adults.Journal of patient-reported outcomes · 2025Article
- Psychometric properties of the Hebrew KIDSCREEN 52, 27 and 10 items: a cross-sectional study of self and parents reports in youth with and without physical disabilities.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Article
- How does a preference-based generic health-related quality of life measure perform in patients with a rare disease? Measurement properties of the EQ-5D-Y proxy version among underage patients with neurofibromatosis type 1.Orphanet journal of rare diseases · 2025Article
- Meeting the Challenges of Preference-Weighted Health-Related Quality-of-Life Measurement in Children.PharmacoEconomics · 2024Article
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Authors and funding
6 authors.
Funding
Abstract
backgroundWidely used generic instruments to measure paediatric health-related quality of life (HRQoL) include the EQ-5D-Y-5L, Child Health Utility 9 Dimension (CHU-9D), Paediatric Quality of Life Inventory (PedsQL) and Health Utilities Index (HUI). There are similarities and differences in the content of these instruments, but there is little empirical evidence on how the items they contain relate to each other, and to an overarching model of HRQoL derived from their content.
objectiveThis study aimed to explore the dimensionality of the instruments using exploratory factor analysis (EFA).
methodsData from the Australian Paediatric Multi-Instrument Comparison (P-MIC) Study were used. EQ-5D-Y-5L, CHU-9D, PedsQL and HUI data were collected via proxy or child self-report data. EFA was used to investigate the underlying domain structure and measurement relationship. Items from the four instruments were pooled and domain models were identified for self- and proxy-reported data. The number of factors was determined based on eigenvalues greater than 1. A correlation cut-off of 0.32 was used to determine item loading on a given factor, with cross-loading also considered. Oblique rotation was used.
resultsResults suggest a six-factor structure for the proxy-reported data, including emotional functioning, pain, daily activities, physical functioning, school functioning, and senses, while the self-report data revealed a similar seven-factor structure, with social functioning emerging as an additional factor.
conclusionWe provide evidence of differences and similarities between paediatric HRQoL instruments and the aspects of health being measured by these instruments. The results identified slight differences between self- and proxy-reported data in the relationships among items within the resulting domains.
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