Developing a New Generic Health and Wellbeing Measure: Psychometric Survey Results for the EQ-HWB

Autores
Peasgood, Tessa; Mukuria, Clara; Brazier, John; Marten, Ole; Kreimeier, Simone; Luo, Nan; Mulhern, Brendan; Greiner, Wolfgang; Pickard, A. Simon; Augustovski, Federico Ariel; Engel, Lidia; Gibbons, Luz; Yang, Zhihao; Monteiro, Andrea L.; Kuharic, Maja; Belizan, Maria; Bjørner, Jakob
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Objectives: The development of measures such as the EQ-HWB (EQ Health and Wellbeing) requires selection of items. This study explored the psychometric performance of candidate items, testing their validity in patients, social carer users, and carers. Methods: Article and online surveys that included candidate items (N = 64) were conducted in Argentina, Australia, China, Germany, United Kingdom, and the United States. Psychometric assessment on missing data, response distributions, and known group differences was undertaken. Dimensionality was explored using exploratory and confirmatory factor analysis. Poorly fitting items were identified using information functions, and the function of each response category was assessed using category characteristic curves from item response theory (IRT) models. Differential item functioning was tested across key subgroups. Results: There were 4879 respondents (Argentina = 508, Australia = 514, China = 497, Germany = 502, United Kingdom = 1955, United States = 903). Where missing data were allowed, it was low (UK article survey 2.3%; US survey 0.6%). Most items had responses distributed across all levels. Most items could discriminate between groups with known health conditions with moderate to large effect sizes. Items were less able to discriminate across carers. Factor analysis found positive and negative measurement factors alongside the constructs of interest. For most of the countries apart from China, the confirmatory factor analysis model had good fit with some minor modifications. IRT indicated that most items had well-functioning response categories but there was some evidence of differential item functioning in many items. Conclusions: Items performed well in classical psychometric testing and IRT. This large 6-country collaboration provided evidence to inform item selection for the EQ-HWB measure.
Fil: Peasgood, Tessa. University Of Sheffield (university Of Sheffield);
Fil: Mukuria, Clara. University Of Sheffield (university Of Sheffield);
Fil: Brazier, John. University Of Sheffield (university Of Sheffield);
Fil: Marten, Ole. Universitat Bielefeld; Alemania
Fil: Kreimeier, Simone. Universitat Bielefeld; Alemania
Fil: Luo, Nan. National University of Singapore; Singapur
Fil: Mulhern, Brendan. University of Technology Sydney; Australia
Fil: Greiner, Wolfgang. Universitat Bielefeld; Alemania
Fil: Pickard, A. Simon. University of Illinois; Estados Unidos
Fil: Augustovski, Federico Ariel. Instituto de Efectividad Clínica y Sanitaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentina
Fil: Engel, Lidia. Deakin University; Australia
Fil: Gibbons, Luz. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Yang, Zhihao. Guizhou Medical University; China
Fil: Monteiro, Andrea L.. University of Illinois; Estados Unidos
Fil: Kuharic, Maja. University of Illinois; Estados Unidos
Fil: Belizan, Maria. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Bjørner, Jakob. No especifíca;
Materia
EQ-HWB
HEALTH AND WELLBEING
ITEM RESPONSE THEORY
ITEM SELECTION
MEASUREMENT DEVELOPMENT
PSYCHOMETRICS
QUALITY-ADJUSTED LIFE-YEAR
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/216319

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oai_identifier_str oai:ri.conicet.gov.ar:11336/216319
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Developing a New Generic Health and Wellbeing Measure: Psychometric Survey Results for the EQ-HWBPeasgood, TessaMukuria, ClaraBrazier, JohnMarten, OleKreimeier, SimoneLuo, NanMulhern, BrendanGreiner, WolfgangPickard, A. SimonAugustovski, Federico ArielEngel, LidiaGibbons, LuzYang, ZhihaoMonteiro, Andrea L.Kuharic, MajaBelizan, MariaBjørner, JakobEQ-HWBHEALTH AND WELLBEINGITEM RESPONSE THEORYITEM SELECTIONMEASUREMENT DEVELOPMENTPSYCHOMETRICSQUALITY-ADJUSTED LIFE-YEARhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Objectives: The development of measures such as the EQ-HWB (EQ Health and Wellbeing) requires selection of items. This study explored the psychometric performance of candidate items, testing their validity in patients, social carer users, and carers. Methods: Article and online surveys that included candidate items (N = 64) were conducted in Argentina, Australia, China, Germany, United Kingdom, and the United States. Psychometric assessment on missing data, response distributions, and known group differences was undertaken. Dimensionality was explored using exploratory and confirmatory factor analysis. Poorly fitting items were identified using information functions, and the function of each response category was assessed using category characteristic curves from item response theory (IRT) models. Differential item functioning was tested across key subgroups. Results: There were 4879 respondents (Argentina = 508, Australia = 514, China = 497, Germany = 502, United Kingdom = 1955, United States = 903). Where missing data were allowed, it was low (UK article survey 2.3%; US survey 0.6%). Most items had responses distributed across all levels. Most items could discriminate between groups with known health conditions with moderate to large effect sizes. Items were less able to discriminate across carers. Factor analysis found positive and negative measurement factors alongside the constructs of interest. For most of the countries apart from China, the confirmatory factor analysis model had good fit with some minor modifications. IRT indicated that most items had well-functioning response categories but there was some evidence of differential item functioning in many items. Conclusions: Items performed well in classical psychometric testing and IRT. This large 6-country collaboration provided evidence to inform item selection for the EQ-HWB measure.Fil: Peasgood, Tessa. University Of Sheffield (university Of Sheffield);Fil: Mukuria, Clara. University Of Sheffield (university Of Sheffield);Fil: Brazier, John. University Of Sheffield (university Of Sheffield);Fil: Marten, Ole. Universitat Bielefeld; AlemaniaFil: Kreimeier, Simone. Universitat Bielefeld; AlemaniaFil: Luo, Nan. National University of Singapore; SingapurFil: Mulhern, Brendan. University of Technology Sydney; AustraliaFil: Greiner, Wolfgang. Universitat Bielefeld; AlemaniaFil: Pickard, A. Simon. University of Illinois; Estados UnidosFil: Augustovski, Federico Ariel. Instituto de Efectividad Clínica y Sanitaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; ArgentinaFil: Engel, Lidia. Deakin University; AustraliaFil: Gibbons, Luz. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Yang, Zhihao. Guizhou Medical University; ChinaFil: Monteiro, Andrea L.. University of Illinois; Estados UnidosFil: Kuharic, Maja. University of Illinois; Estados UnidosFil: Belizan, Maria. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Bjørner, Jakob. No especifíca;Wiley Blackwell Publishing, Inc2022-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/216319Peasgood, Tessa; Mukuria, Clara; Brazier, John; Marten, Ole; Kreimeier, Simone; et al.; Developing a New Generic Health and Wellbeing Measure: Psychometric Survey Results for the EQ-HWB; Wiley Blackwell Publishing, Inc; Value In Health; 25; 4; 4-2022; 525-5331098-3015CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.jval.2021.11.1361info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:32:37Zoai:ri.conicet.gov.ar:11336/216319instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:32:37.564CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Developing a New Generic Health and Wellbeing Measure: Psychometric Survey Results for the EQ-HWB
title Developing a New Generic Health and Wellbeing Measure: Psychometric Survey Results for the EQ-HWB
spellingShingle Developing a New Generic Health and Wellbeing Measure: Psychometric Survey Results for the EQ-HWB
Peasgood, Tessa
EQ-HWB
HEALTH AND WELLBEING
ITEM RESPONSE THEORY
ITEM SELECTION
MEASUREMENT DEVELOPMENT
PSYCHOMETRICS
QUALITY-ADJUSTED LIFE-YEAR
title_short Developing a New Generic Health and Wellbeing Measure: Psychometric Survey Results for the EQ-HWB
title_full Developing a New Generic Health and Wellbeing Measure: Psychometric Survey Results for the EQ-HWB
title_fullStr Developing a New Generic Health and Wellbeing Measure: Psychometric Survey Results for the EQ-HWB
title_full_unstemmed Developing a New Generic Health and Wellbeing Measure: Psychometric Survey Results for the EQ-HWB
title_sort Developing a New Generic Health and Wellbeing Measure: Psychometric Survey Results for the EQ-HWB
dc.creator.none.fl_str_mv Peasgood, Tessa
Mukuria, Clara
Brazier, John
Marten, Ole
Kreimeier, Simone
Luo, Nan
Mulhern, Brendan
Greiner, Wolfgang
Pickard, A. Simon
Augustovski, Federico Ariel
Engel, Lidia
Gibbons, Luz
Yang, Zhihao
Monteiro, Andrea L.
Kuharic, Maja
Belizan, Maria
Bjørner, Jakob
author Peasgood, Tessa
author_facet Peasgood, Tessa
Mukuria, Clara
Brazier, John
Marten, Ole
Kreimeier, Simone
Luo, Nan
Mulhern, Brendan
Greiner, Wolfgang
Pickard, A. Simon
Augustovski, Federico Ariel
Engel, Lidia
Gibbons, Luz
Yang, Zhihao
Monteiro, Andrea L.
Kuharic, Maja
Belizan, Maria
Bjørner, Jakob
author_role author
author2 Mukuria, Clara
Brazier, John
Marten, Ole
Kreimeier, Simone
Luo, Nan
Mulhern, Brendan
Greiner, Wolfgang
Pickard, A. Simon
Augustovski, Federico Ariel
Engel, Lidia
Gibbons, Luz
Yang, Zhihao
Monteiro, Andrea L.
Kuharic, Maja
Belizan, Maria
Bjørner, Jakob
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv EQ-HWB
HEALTH AND WELLBEING
ITEM RESPONSE THEORY
ITEM SELECTION
MEASUREMENT DEVELOPMENT
PSYCHOMETRICS
QUALITY-ADJUSTED LIFE-YEAR
topic EQ-HWB
HEALTH AND WELLBEING
ITEM RESPONSE THEORY
ITEM SELECTION
MEASUREMENT DEVELOPMENT
PSYCHOMETRICS
QUALITY-ADJUSTED LIFE-YEAR
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Objectives: The development of measures such as the EQ-HWB (EQ Health and Wellbeing) requires selection of items. This study explored the psychometric performance of candidate items, testing their validity in patients, social carer users, and carers. Methods: Article and online surveys that included candidate items (N = 64) were conducted in Argentina, Australia, China, Germany, United Kingdom, and the United States. Psychometric assessment on missing data, response distributions, and known group differences was undertaken. Dimensionality was explored using exploratory and confirmatory factor analysis. Poorly fitting items were identified using information functions, and the function of each response category was assessed using category characteristic curves from item response theory (IRT) models. Differential item functioning was tested across key subgroups. Results: There were 4879 respondents (Argentina = 508, Australia = 514, China = 497, Germany = 502, United Kingdom = 1955, United States = 903). Where missing data were allowed, it was low (UK article survey 2.3%; US survey 0.6%). Most items had responses distributed across all levels. Most items could discriminate between groups with known health conditions with moderate to large effect sizes. Items were less able to discriminate across carers. Factor analysis found positive and negative measurement factors alongside the constructs of interest. For most of the countries apart from China, the confirmatory factor analysis model had good fit with some minor modifications. IRT indicated that most items had well-functioning response categories but there was some evidence of differential item functioning in many items. Conclusions: Items performed well in classical psychometric testing and IRT. This large 6-country collaboration provided evidence to inform item selection for the EQ-HWB measure.
Fil: Peasgood, Tessa. University Of Sheffield (university Of Sheffield);
Fil: Mukuria, Clara. University Of Sheffield (university Of Sheffield);
Fil: Brazier, John. University Of Sheffield (university Of Sheffield);
Fil: Marten, Ole. Universitat Bielefeld; Alemania
Fil: Kreimeier, Simone. Universitat Bielefeld; Alemania
Fil: Luo, Nan. National University of Singapore; Singapur
Fil: Mulhern, Brendan. University of Technology Sydney; Australia
Fil: Greiner, Wolfgang. Universitat Bielefeld; Alemania
Fil: Pickard, A. Simon. University of Illinois; Estados Unidos
Fil: Augustovski, Federico Ariel. Instituto de Efectividad Clínica y Sanitaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentina
Fil: Engel, Lidia. Deakin University; Australia
Fil: Gibbons, Luz. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Yang, Zhihao. Guizhou Medical University; China
Fil: Monteiro, Andrea L.. University of Illinois; Estados Unidos
Fil: Kuharic, Maja. University of Illinois; Estados Unidos
Fil: Belizan, Maria. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Bjørner, Jakob. No especifíca;
description Objectives: The development of measures such as the EQ-HWB (EQ Health and Wellbeing) requires selection of items. This study explored the psychometric performance of candidate items, testing their validity in patients, social carer users, and carers. Methods: Article and online surveys that included candidate items (N = 64) were conducted in Argentina, Australia, China, Germany, United Kingdom, and the United States. Psychometric assessment on missing data, response distributions, and known group differences was undertaken. Dimensionality was explored using exploratory and confirmatory factor analysis. Poorly fitting items were identified using information functions, and the function of each response category was assessed using category characteristic curves from item response theory (IRT) models. Differential item functioning was tested across key subgroups. Results: There were 4879 respondents (Argentina = 508, Australia = 514, China = 497, Germany = 502, United Kingdom = 1955, United States = 903). Where missing data were allowed, it was low (UK article survey 2.3%; US survey 0.6%). Most items had responses distributed across all levels. Most items could discriminate between groups with known health conditions with moderate to large effect sizes. Items were less able to discriminate across carers. Factor analysis found positive and negative measurement factors alongside the constructs of interest. For most of the countries apart from China, the confirmatory factor analysis model had good fit with some minor modifications. IRT indicated that most items had well-functioning response categories but there was some evidence of differential item functioning in many items. Conclusions: Items performed well in classical psychometric testing and IRT. This large 6-country collaboration provided evidence to inform item selection for the EQ-HWB measure.
publishDate 2022
dc.date.none.fl_str_mv 2022-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/216319
Peasgood, Tessa; Mukuria, Clara; Brazier, John; Marten, Ole; Kreimeier, Simone; et al.; Developing a New Generic Health and Wellbeing Measure: Psychometric Survey Results for the EQ-HWB; Wiley Blackwell Publishing, Inc; Value In Health; 25; 4; 4-2022; 525-533
1098-3015
CONICET Digital
CONICET
url http://hdl.handle.net/11336/216319
identifier_str_mv Peasgood, Tessa; Mukuria, Clara; Brazier, John; Marten, Ole; Kreimeier, Simone; et al.; Developing a New Generic Health and Wellbeing Measure: Psychometric Survey Results for the EQ-HWB; Wiley Blackwell Publishing, Inc; Value In Health; 25; 4; 4-2022; 525-533
1098-3015
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jval.2021.11.1361
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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