The EQ-HWB: Overview of the Development of a Measure of Health and Wellbeing and Key Results.

Brazier, J; Peasgood, T; Mukuria, C; Marten, O; Kreimeier, S; Luo, N; Mulhern, B; Pickard, AS; Augustovski, F; Greiner, W; Engel, L; Belizan, M; Yang, Z; Monteiro, A; Kuharic, M; Gibbons, L; Ludwig, K; Carlton, J; Connell, J; Rand, S; Devlin, N; Jones, K; Tsuchiya, A; Lovett, R; Naidoo, B; Rowen, D; Rejon-Parrilla, JC

The EQ-HWB: Overview of the Development of a Measure of Health and Wellbeing and Key Results.

Brazier, J Peasgood, T Mukuria, C Marten, O Kreimeier, S Luo, N Mulhern, B

Pickard, AS Augustovski, F Greiner, W Engel, L Belizan, M Yang, Z Monteiro, A Kuharic, M Gibbons, L Ludwig, K Carlton, J Connell, J Rand, S Devlin, N Jones, K Tsuchiya, A Lovett, R Naidoo, B Rowen, D Rejon-Parrilla, JC

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Value Health, 2022, 25, (4), pp. 482-491
Issue Date:: 2022-04

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Field	Value	Language
dc.contributor.author	Brazier, J
dc.contributor.author	Peasgood, T
dc.contributor.author	Mukuria, C
dc.contributor.author	Marten, O
dc.contributor.author	Kreimeier, S
dc.contributor.author	Luo, N
dc.contributor.author	Mulhern, B https://orcid.org/0000-0003-3656-8063
dc.contributor.author	Pickard, AS
dc.contributor.author	Augustovski, F
dc.contributor.author	Greiner, W
dc.contributor.author	Engel, L
dc.contributor.author	Belizan, M
dc.contributor.author	Yang, Z
dc.contributor.author	Monteiro, A
dc.contributor.author	Kuharic, M
dc.contributor.author	Gibbons, L
dc.contributor.author	Ludwig, K
dc.contributor.author	Carlton, J
dc.contributor.author	Connell, J
dc.contributor.author	Rand, S
dc.contributor.author	Devlin, N
dc.contributor.author	Jones, K
dc.contributor.author	Tsuchiya, A
dc.contributor.author	Lovett, R
dc.contributor.author	Naidoo, B
dc.contributor.author	Rowen, D
dc.contributor.author	Rejon-Parrilla, JC
dc.date.accessioned	2022-11-07T03:21:54Z
dc.date.available	2022-01-23
dc.date.available	2022-11-07T03:21:54Z
dc.date.issued	2022-04
dc.identifier.citation	Value Health, 2022, 25, (4), pp. 482-491
dc.identifier.issn	1098-3015
dc.identifier.issn	1524-4733
dc.identifier.uri	http://hdl.handle.net/10453/163274
dc.description.abstract	OBJECTIVES: Existing measures for estimating quality-adjusted life-years are mostly limited to health-related quality of life. This article presents an overview of the development the EQ-HWB (EQ Health and Wellbeing), which is a measure that encompasses health and wellbeing. METHODS: Stages: (1) Establishing domains through reviews of the qualitative literature informed by a conceptual framework. (2) Generation and selection of items to cover the domains. (3) Face validation of these items through qualitative interviews with 168 patients, social care users, general population, and carers across 6 countries (Argentina, Australia, China, Germany, United Kingdom, United States). (4) Extensive psychometric testing of candidate items (using classical, factor analysis, and item response theory methods) on > 4000 respondents in the 6 countries. Stakeholders were consulted throughout. RESULTS: A total of 32 subdomains grouped into 7 high-level domains were identified from the qualitative literature and 97 items generated to cover them. Face validation eliminated 36 items, modified 14, and added 3. Psychometric testing of 64 items found little difference in missing data or problems with response distribution, the conceptual model was confirmed except in China, and most items performed well in the item response theory in all countries. Evidence was presented to stakeholders in 2 rounds of consultation to inform the final selection of items for the EQ-HWB (25-item) and the short version of EQ-HWB (9-items). CONCLUSIONS: EQ-HWB measures have been developed internationally for evaluating interventions in health, public health, and social care including the impact on patients, social care users, and carers.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Elsevier BV
dc.relation.ispartof	Value Health
dc.relation.isbasedon	10.1016/j.jval.2022.01.009
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	1117 Public Health and Health Services, 1402 Applied Economics
dc.subject.classification	Health Policy & Services
dc.subject.mesh	Caregivers
dc.subject.mesh	Humans
dc.subject.mesh	Psychometrics
dc.subject.mesh	Quality of Life
dc.subject.mesh	Quality-Adjusted Life Years
dc.subject.mesh	Reproducibility of Results
dc.subject.mesh	Surveys and Questionnaires
dc.subject.mesh	United Kingdom
dc.subject.mesh	Humans
dc.subject.mesh	Reproducibility of Results
dc.subject.mesh	Psychometrics
dc.subject.mesh	Quality-Adjusted Life Years
dc.subject.mesh	Quality of Life
dc.subject.mesh	Caregivers
dc.subject.mesh	Surveys and Questionnaires
dc.subject.mesh	United Kingdom
dc.title	The EQ-HWB: Overview of the Development of a Measure of Health and Wellbeing and Key Results.
dc.type	Journal Article
utslib.citation.volume	25
utslib.location.activity	United States
utslib.for	1117 Public Health and Health Services
utslib.for	1402 Applied 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/Strength - CHERE - Centre for Health Economics Research and Evaluation
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Centre for Health Economics Research and Evaluation
utslib.copyright.status	open_access	*
dc.date.updated	2022-11-07T03:21:42Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	25
utslib.citation.issue	4

Abstract:

OBJECTIVES: Existing measures for estimating quality-adjusted life-years are mostly limited to health-related quality of life. This article presents an overview of the development the EQ-HWB (EQ Health and Wellbeing), which is a measure that encompasses health and wellbeing. METHODS: Stages: (1) Establishing domains through reviews of the qualitative literature informed by a conceptual framework. (2) Generation and selection of items to cover the domains. (3) Face validation of these items through qualitative interviews with 168 patients, social care users, general population, and carers across 6 countries (Argentina, Australia, China, Germany, United Kingdom, United States). (4) Extensive psychometric testing of candidate items (using classical, factor analysis, and item response theory methods) on > 4000 respondents in the 6 countries. Stakeholders were consulted throughout. RESULTS: A total of 32 subdomains grouped into 7 high-level domains were identified from the qualitative literature and 97 items generated to cover them. Face validation eliminated 36 items, modified 14, and added 3. Psychometric testing of 64 items found little difference in missing data or problems with response distribution, the conceptual model was confirmed except in China, and most items performed well in the item response theory in all countries. Evidence was presented to stakeholders in 2 rounds of consultation to inform the final selection of items for the EQ-HWB (25-item) and the short version of EQ-HWB (9-items). CONCLUSIONS: EQ-HWB measures have been developed internationally for evaluating interventions in health, public health, and social care including the impact on patients, social care users, and carers.

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http://hdl.handle.net/10453/163274