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Comparing Generic Paediatric Health-Related Quality-of-Life Instruments: A Dimensionality Assessment Using Factor
Mina Bahrampour1, Renee Jones2, Kim Dalziel2
1Centre for Health Economics Research and Evaluation (CHERE), University of Technology Sydney, Sydney, NSW, Australia. mina.bahrampour@uts.edu.au.
Insights
This study compared paediatric health-related quality of life (HRQoL) instruments. Exploratory factor analysis revealed distinct underlying structures, with self-reports identifying an additional social functioning domain compared to proxy reports.
Area of Science:
- Paediatric Health Outcomes Research
- Psychometrics
- Health Services Research
Background:
- Widely used paediatric health-related quality of life (HRQoL) instruments include EQ-5D-Y-5L, CHU-9D, PedsQL, and HUI.
- Limited empirical evidence exists on the relationships between items within these instruments and an overarching HRQoL model.
Purpose of the Study:
- To explore the dimensionality of common paediatric HRQoL instruments using exploratory factor analysis (EFA).
- To compare the underlying domain structures of EQ-5D-Y-5L, CHU-9D, PedsQL, and HUI.
Main Methods:
- Utilized data from the Australian Paediatric Multi-Instrument Comparison (P-MIC) Study.
- Conducted EFA on pooled items from four paediatric HRQoL instruments (EQ-5D-Y-5L, CHU-9D, PedsQL, HUI) using self- and proxy-reported data.
- Determined factor structure using eigenvalues > 1, a correlation cut-off of 0.32 for item loading, and oblique rotation.
Main Results:
- Proxy-reported data yielded a six-factor structure: emotional functioning, pain, daily activities, physical functioning, school functioning, and senses.
- Self-reported data revealed a similar seven-factor structure, with social functioning identified as an additional domain.
Conclusions:
- Provided evidence for both similarities and differences in what paediatric HRQoL instruments measure.
- Identified subtle discrepancies between self- and proxy-reported data regarding item relationships within identified domains.
Background:
Widely 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.
Objective:
This study aimed to explore the dimensionality of the instruments using exploratory factor analysis (EFA).
Methods:
Data 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.
Results:
Results 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.
Conclusion:
We 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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