Comparing Generic Paediatric Health-Related Quality-of-Life Instruments: A Dimensionality Assessment Using Factor Analysis.

Bahrampour, M; Jones, R; Dalziel, K; Devlin, N; Mulhern, B; QUOKKA (Quality of Life in Kids: Key Evidence for Decision Makers in Australia) Team,

Comparing Generic Paediatric Health-Related Quality-of-Life Instruments: A Dimensionality Assessment Using Factor Analysis.

Bahrampour, M

Jones, R Dalziel, K Devlin, N Mulhern, B

QUOKKA (Quality of Life in Kids: Key Evidence for Decision Makers in Australia) Team,

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Publisher:: ADIS INT LTD
Publication Type:: Journal Article
Citation:: Pharmacoeconomics, 2024, 42, (Suppl 1), pp. 81-94
Issue Date:: 2024-06

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Field	Value	Language
dc.contributor.author	Bahrampour, M https://orcid.org/0000-0002-6915-1865
dc.contributor.author	Jones, R
dc.contributor.author	Dalziel, K
dc.contributor.author	Devlin, N
dc.contributor.author	Mulhern, B https://orcid.org/0000-0003-3656-8063
dc.contributor.author	QUOKKA (Quality of Life in Kids: Key Evidence for Decision Makers in Australia) Team,
dc.date.accessioned	2024-10-08T23:44:04Z
dc.date.available	2024-04-11
dc.date.available	2024-10-08T23:44:04Z
dc.date.issued	2024-06
dc.identifier.citation	Pharmacoeconomics, 2024, 42, (Suppl 1), pp. 81-94
dc.identifier.issn	1170-7690
dc.identifier.issn	1179-2027
dc.identifier.uri	http://hdl.handle.net/10453/181254
dc.description.abstract	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.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	ADIS INT LTD
dc.relation.ispartof	Pharmacoeconomics
dc.relation.isbasedon	10.1007/s40273-024-01382-y
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	11 Medical and Health Sciences, 14 Economics
dc.subject.classification	Health Policy & Services
dc.subject.classification	3214 Pharmacology and pharmaceutical sciences
dc.subject.classification	3801 Applied economics
dc.subject.classification	4203 Health services and systems
dc.subject.mesh	Humans
dc.subject.mesh	Quality of Life
dc.subject.mesh	Child
dc.subject.mesh	Factor Analysis, Statistical
dc.subject.mesh	Australia
dc.subject.mesh	Surveys and Questionnaires
dc.subject.mesh	Female
dc.subject.mesh	Male
dc.subject.mesh	Adolescent
dc.subject.mesh	Self Report
dc.subject.mesh	Health Status
dc.subject.mesh	Child, Preschool
dc.subject.mesh	Psychometrics
dc.subject.mesh	Child Health
dc.subject.mesh	Humans
dc.subject.mesh	Factor Analysis, Statistical
dc.subject.mesh	Psychometrics
dc.subject.mesh	Health Status
dc.subject.mesh	Quality of Life
dc.subject.mesh	Adolescent
dc.subject.mesh	Child
dc.subject.mesh	Child, Preschool
dc.subject.mesh	Australia
dc.subject.mesh	Female
dc.subject.mesh	Male
dc.subject.mesh	Self Report
dc.subject.mesh	Surveys and Questionnaires
dc.subject.mesh	Child Health
dc.subject.mesh	Humans
dc.subject.mesh	Quality of Life
dc.subject.mesh	Child
dc.subject.mesh	Factor Analysis, Statistical
dc.subject.mesh	Australia
dc.subject.mesh	Surveys and Questionnaires
dc.subject.mesh	Female
dc.subject.mesh	Male
dc.subject.mesh	Adolescent
dc.subject.mesh	Self Report
dc.subject.mesh	Health Status
dc.subject.mesh	Child, Preschool
dc.subject.mesh	Psychometrics
dc.subject.mesh	Child Health
dc.title	Comparing Generic Paediatric Health-Related Quality-of-Life Instruments: A Dimensionality Assessment Using Factor Analysis.
dc.type	Journal Article
utslib.citation.volume	42
utslib.location.activity	New Zealand
utslib.for	11 Medical and Health Sciences
utslib.for	14 Economics
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Health
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/Centre for Health Economics Research and Evaluation (CHERE)
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by-nc/4.0/
dc.date.updated	2024-10-08T23:44:02Z
pubs.issue	Suppl 1
pubs.publication-status	Published
pubs.volume	42
utslib.citation.issue	Suppl 1

Abstract:

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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http://hdl.handle.net/10453/181254