EuroQol data for assessment of population health needs and instrument evaluation (EQ-DAPHNIE): a study for enhancing population health assessment.

Johnson, JA; Janssen, MF; Al Sayah, F; Bailey, H; Gandhi, M; Golicki, D; Gutacker, N; Lubetkin, E; Mulhern, B; Purba, FD; Ramos-Goñi, JM; Scott, D; Short, H; Sullivan, T; Viney, R; Yang, Z; Zárate, V

EuroQol data for assessment of population health needs and instrument evaluation (EQ-DAPHNIE): a study for enhancing population health assessment.

Johnson, JA Janssen, MF Al Sayah, F Bailey, H Gandhi, M Golicki, D Gutacker, N Lubetkin, E Mulhern, B Purba, FD Ramos-Goñi, JM Scott, D Short, H Sullivan, T Viney, R

Yang, Z Zárate, V

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Publisher:: Springer Nature
Publication Type:: Journal Article
Citation:: Qual Life Res, 2025, pp. 1-14
Issue Date:: 2025-05-03

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Field	Value	Language
dc.contributor.author	Johnson, JA
dc.contributor.author	Janssen, MF
dc.contributor.author	Al Sayah, F
dc.contributor.author	Bailey, H
dc.contributor.author	Gandhi, M
dc.contributor.author	Golicki, D
dc.contributor.author	Gutacker, N
dc.contributor.author	Lubetkin, E
dc.contributor.author	Mulhern, B
dc.contributor.author	Purba, FD
dc.contributor.author	Ramos-Goñi, JM
dc.contributor.author	Scott, D
dc.contributor.author	Short, H
dc.contributor.author	Sullivan, T
dc.contributor.author	Viney, R https://orcid.org/0000-0002-0039-9635
dc.contributor.author	Yang, Z
dc.contributor.author	Zárate, V
dc.date.accessioned	2025-07-15T06:34:50Z
dc.date.available	2025-04-21
dc.date.available	2025-07-15T06:34:50Z
dc.date.issued	2025-05-03
dc.identifier.citation	Qual Life Res, 2025, pp. 1-14
dc.identifier.issn	0962-9343
dc.identifier.issn	1573-2649
dc.identifier.uri	http://hdl.handle.net/10453/188376
dc.description.abstract	BACKGROUND: Methods for collecting self-reported health status measures in population health surveys vary significantly across countries, presenting challenges to comparability. The EuroQol Data for Assessment of Population Health Needs and Instrument Evaluation (EQ-DAPHNIE) project aims to address this issue by developing infrastructure to generate representative datasets across multiple countries. This initiative aims to standardize data collection methodologies and to evaluate the performance of various health status measures, providing a foundation for reliable population health assessments. This paper describes the rationale, design and data collection methods for the EQ-DAPHNIE project. METHODS/DESIGN: EQ-DAPHNIE employs a cross-sectional online survey design targeting the general adult population across various countries. Participants were recruited through an online panel provider. Each country had a target sample of 4500 responses, with quota sampling to ensure representativeness based on age, sex, income, region, and language. The survey collected comprehensive data on social determinants of health at both individual and neighbourhood levels. Participation was voluntary, and measures were taken to maintain data anonymity and ensure data quality through pre-testing and various quality assurance approaches. DISCUSSION: The EQ-DAPHNIE project represents a significant advancement in generating large, representative, and comparable population health datasets across multiple countries. By employing precise sampling strategies, robust recruitment and data collection methods, and rigorous quality control measures, the project aims to provide a valuable resource for assessing and understanding population health and evaluating various health-related quality of life (HRQoL) and wellbeing instruments.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Springer Nature
dc.relation.ispartof	Qual Life Res
dc.relation.isbasedon	10.1007/s11136-025-03983-2
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject	1117 Public Health and Health Services, 1701 Psychology
dc.subject.classification	Health Policy & Services
dc.subject.classification	42 Health sciences
dc.subject.classification	44 Human society
dc.title	EuroQol data for assessment of population health needs and instrument evaluation (EQ-DAPHNIE): a study for enhancing population health assessment.
dc.type	Journal Article
utslib.location.activity	Netherlands
utslib.for	1117 Public Health and Health Services
utslib.for	1701 Psychology
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)
pubs.organisational-group	University of Technology Sydney/UTS Groups/INSIGHT: Institute for Innovative Solutions for Wellbeing and Health
utslib.copyright.status	recently_added	*
dc.date.updated	2025-07-15T06:34:48Z
pubs.publication-status	Published online

Abstract:

BACKGROUND: Methods for collecting self-reported health status measures in population health surveys vary significantly across countries, presenting challenges to comparability. The EuroQol Data for Assessment of Population Health Needs and Instrument Evaluation (EQ-DAPHNIE) project aims to address this issue by developing infrastructure to generate representative datasets across multiple countries. This initiative aims to standardize data collection methodologies and to evaluate the performance of various health status measures, providing a foundation for reliable population health assessments. This paper describes the rationale, design and data collection methods for the EQ-DAPHNIE project. METHODS/DESIGN: EQ-DAPHNIE employs a cross-sectional online survey design targeting the general adult population across various countries. Participants were recruited through an online panel provider. Each country had a target sample of 4500 responses, with quota sampling to ensure representativeness based on age, sex, income, region, and language. The survey collected comprehensive data on social determinants of health at both individual and neighbourhood levels. Participation was voluntary, and measures were taken to maintain data anonymity and ensure data quality through pre-testing and various quality assurance approaches. DISCUSSION: The EQ-DAPHNIE project represents a significant advancement in generating large, representative, and comparable population health datasets across multiple countries. By employing precise sampling strategies, robust recruitment and data collection methods, and rigorous quality control measures, the project aims to provide a valuable resource for assessing and understanding population health and evaluating various health-related quality of life (HRQoL) and wellbeing instruments.

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http://hdl.handle.net/10453/188376