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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/216319
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3498 |
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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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1844612996559536128 |
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13.070432 |