Measuring the Benefits of Healthcare: DALYs and QALYs – Does the Choice of Measure Matter? A Case Study of Two Preventive Interventions

Autores
Augustovski, Federico Ariel; Colantonio, Lisandro Damián; Galante, Julieta; Bardach, Ariel Esteban; Caporale, Joaquín E.; Zárate, Víctor; Chuang, Ling Hsiang; Pichón-Riviere, Andrés; Kind, Paul
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Background The measurement of health benefits is a key issue in health economic evaluations. There is very scarce empirical literature exploring the differences of using quality-adjusted life years (QALYs) or disability-adjusted life years (DALYs) as benefit metrics and their potential impact in decision-making. Methods Two previously published models delivering outputs in QALYs, were adapted to estimate DALYs: a Markov model for human papilloma virus (HPV) vaccination, and a pneumococcal vaccination deterministic model (PNEUMO). Argentina, Chile, and the United Kingdom studies were used, where local EQ-5D social value weights were available to provide local QALY weights. A primary study with descriptive vignettes was done (n = 73) to obtain EQ-5D data for all health states included in both models. Several scenario analyses were carried-out to evaluate the relative importance of using different metrics (DALYS or QALYs) to estimate health benefits on these economic evaluations. Results QALY gains were larger than DALYs avoided in all countries for HPV, leading to more favorable decisions using the former. With discounting and age-weighting – scenario with greatest differences in all countries – incremental DALYs avoided represented the 75%, 68%, and 43% of the QALYs gained in Argentina, Chile, and United Kingdom respectively. Differences using QALYs or DALYs were less consistent and sometimes in the opposite direction for PNEUMO. These differences, similar to other widely used assumptions, could directly influence decision-making using usual gross domestic products (GDPs) per capita per DALY or QALY thresholds. Conclusion We did not find evidence that contradicts current practice of many researchers and decision-makers of using QALYs or DALYs interchangeably. Differences attributed to the choice of metric could influence final decisions, but similarly to other frequently used assumptions.
Fil: Augustovski, Federico Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Pque. Centenario. Centro de Investigaciones En Epidemiología y Salud Publica. Instituto de Efectividad Clinica y Sanitaria. Centro de Investigaciones En Epidemiología y Salud Publica.; Argentina
Fil: Colantonio, Lisandro Damián. University of Alabama at Birmingahm; Estados Unidos
Fil: Galante, Julieta. Cardiff University; Reino Unido
Fil: Bardach, Ariel Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Pque. Centenario. Centro de Investigaciones En Epidemiología y Salud Publica. Instituto de Efectividad Clinica y Sanitaria. Centro de Investigaciones En Epidemiología y Salud Publica.; Argentina
Fil: Caporale, Joaquín E.. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Pque. Centenario. Centro de Investigaciones En Epidemiología y Salud Publica. Instituto de Efectividad Clinica y Sanitaria. Centro de Investigaciones En Epidemiología y Salud Publica.; Argentina
Fil: Zárate, Víctor. Universidad San Sebastian; Chile
Fil: Chuang, Ling Hsiang. Pharmerit; Países Bajos
Fil: Pichón-Riviere, Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Pque. Centenario. Centro de Investigaciones En Epidemiología y Salud Publica. Instituto de Efectividad Clinica y Sanitaria. Centro de Investigaciones En Epidemiología y Salud Publica.; Argentina
Fil: Kind, Paul. University of Leeds; Reino Unido
Materia
QALY
DALY
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:11336/44801
Acceder
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spelling Measuring the Benefits of Healthcare: DALYs and QALYs – Does the Choice of Measure Matter? A Case Study of Two Preventive InterventionsAugustovski, Federico ArielColantonio, Lisandro DamiánGalante, JulietaBardach, Ariel EstebanCaporale, Joaquín E.Zárate, VíctorChuang, Ling HsiangPichón-Riviere, AndrésKind, PaulQALYDALYhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Background The measurement of health benefits is a key issue in health economic evaluations. There is very scarce empirical literature exploring the differences of using quality-adjusted life years (QALYs) or disability-adjusted life years (DALYs) as benefit metrics and their potential impact in decision-making. Methods Two previously published models delivering outputs in QALYs, were adapted to estimate DALYs: a Markov model for human papilloma virus (HPV) vaccination, and a pneumococcal vaccination deterministic model (PNEUMO). Argentina, Chile, and the United Kingdom studies were used, where local EQ-5D social value weights were available to provide local QALY weights. A primary study with descriptive vignettes was done (n = 73) to obtain EQ-5D data for all health states included in both models. Several scenario analyses were carried-out to evaluate the relative importance of using different metrics (DALYS or QALYs) to estimate health benefits on these economic evaluations. Results QALY gains were larger than DALYs avoided in all countries for HPV, leading to more favorable decisions using the former. With discounting and age-weighting – scenario with greatest differences in all countries – incremental DALYs avoided represented the 75%, 68%, and 43% of the QALYs gained in Argentina, Chile, and United Kingdom respectively. Differences using QALYs or DALYs were less consistent and sometimes in the opposite direction for PNEUMO. These differences, similar to other widely used assumptions, could directly influence decision-making using usual gross domestic products (GDPs) per capita per DALY or QALY thresholds. Conclusion We did not find evidence that contradicts current practice of many researchers and decision-makers of using QALYs or DALYs interchangeably. Differences attributed to the choice of metric could influence final decisions, but similarly to other frequently used assumptions.Fil: Augustovski, Federico Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Pque. Centenario. Centro de Investigaciones En Epidemiología y Salud Publica. Instituto de Efectividad Clinica y Sanitaria. Centro de Investigaciones En Epidemiología y Salud Publica.; ArgentinaFil: Colantonio, Lisandro Damián. University of Alabama at Birmingahm; Estados UnidosFil: Galante, Julieta. Cardiff University; Reino UnidoFil: Bardach, Ariel Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Pque. Centenario. Centro de Investigaciones En Epidemiología y Salud Publica. Instituto de Efectividad Clinica y Sanitaria. Centro de Investigaciones En Epidemiología y Salud Publica.; ArgentinaFil: Caporale, Joaquín E.. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Pque. Centenario. Centro de Investigaciones En Epidemiología y Salud Publica. Instituto de Efectividad Clinica y Sanitaria. Centro de Investigaciones En Epidemiología y Salud Publica.; ArgentinaFil: Zárate, Víctor. Universidad San Sebastian; ChileFil: Chuang, Ling Hsiang. Pharmerit; Países BajosFil: Pichón-Riviere, Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Pque. Centenario. Centro de Investigaciones En Epidemiología y Salud Publica. Instituto de Efectividad Clinica y Sanitaria. Centro de Investigaciones En Epidemiología y Salud Publica.; ArgentinaFil: Kind, Paul. University of Leeds; Reino UnidoKerman University of Medical Sciences2017-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/44801Augustovski, Federico Ariel; Colantonio, Lisandro Damián; Galante, Julieta; Bardach, Ariel Esteban; Caporale, Joaquín E.; et al.; Measuring the Benefits of Healthcare: DALYs and QALYs – Does the Choice of Measure Matter? A Case Study of Two Preventive Interventions; Kerman University of Medical Sciences; International Journal of Health Policy and Management; 7; 2; 1-2017; 120-1362322-5939CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.ijhpm.com/article_3356_0.htmlinfo:eu-repo/semantics/altIdentifier/doi/10.15171/IJHPM.2017.47info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:01:43Zoai:ri.conicet.gov.ar:11336/44801instacron: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:34982025-10-22 11:01:44.228CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Measuring the Benefits of Healthcare: DALYs and QALYs – Does the Choice of Measure Matter? A Case Study of Two Preventive Interventions
title Measuring the Benefits of Healthcare: DALYs and QALYs – Does the Choice of Measure Matter? A Case Study of Two Preventive Interventions
spellingShingle Measuring the Benefits of Healthcare: DALYs and QALYs – Does the Choice of Measure Matter? A Case Study of Two Preventive Interventions
Augustovski, Federico Ariel
QALY
DALY
title_short Measuring the Benefits of Healthcare: DALYs and QALYs – Does the Choice of Measure Matter? A Case Study of Two Preventive Interventions
title_full Measuring the Benefits of Healthcare: DALYs and QALYs – Does the Choice of Measure Matter? A Case Study of Two Preventive Interventions
title_fullStr Measuring the Benefits of Healthcare: DALYs and QALYs – Does the Choice of Measure Matter? A Case Study of Two Preventive Interventions
title_full_unstemmed Measuring the Benefits of Healthcare: DALYs and QALYs – Does the Choice of Measure Matter? A Case Study of Two Preventive Interventions
title_sort Measuring the Benefits of Healthcare: DALYs and QALYs – Does the Choice of Measure Matter? A Case Study of Two Preventive Interventions
dc.creator.none.fl_str_mv Augustovski, Federico Ariel
Colantonio, Lisandro Damián
Galante, Julieta
Bardach, Ariel Esteban
Caporale, Joaquín E.
Zárate, Víctor
Chuang, Ling Hsiang
Pichón-Riviere, Andrés
Kind, Paul
author Augustovski, Federico Ariel
author_facet Augustovski, Federico Ariel
Colantonio, Lisandro Damián
Galante, Julieta
Bardach, Ariel Esteban
Caporale, Joaquín E.
Zárate, Víctor
Chuang, Ling Hsiang
Pichón-Riviere, Andrés
Kind, Paul
author_role author
author2 Colantonio, Lisandro Damián
Galante, Julieta
Bardach, Ariel Esteban
Caporale, Joaquín E.
Zárate, Víctor
Chuang, Ling Hsiang
Pichón-Riviere, Andrés
Kind, Paul
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv QALY
DALY
topic QALY
DALY
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Background The measurement of health benefits is a key issue in health economic evaluations. There is very scarce empirical literature exploring the differences of using quality-adjusted life years (QALYs) or disability-adjusted life years (DALYs) as benefit metrics and their potential impact in decision-making. Methods Two previously published models delivering outputs in QALYs, were adapted to estimate DALYs: a Markov model for human papilloma virus (HPV) vaccination, and a pneumococcal vaccination deterministic model (PNEUMO). Argentina, Chile, and the United Kingdom studies were used, where local EQ-5D social value weights were available to provide local QALY weights. A primary study with descriptive vignettes was done (n = 73) to obtain EQ-5D data for all health states included in both models. Several scenario analyses were carried-out to evaluate the relative importance of using different metrics (DALYS or QALYs) to estimate health benefits on these economic evaluations. Results QALY gains were larger than DALYs avoided in all countries for HPV, leading to more favorable decisions using the former. With discounting and age-weighting – scenario with greatest differences in all countries – incremental DALYs avoided represented the 75%, 68%, and 43% of the QALYs gained in Argentina, Chile, and United Kingdom respectively. Differences using QALYs or DALYs were less consistent and sometimes in the opposite direction for PNEUMO. These differences, similar to other widely used assumptions, could directly influence decision-making using usual gross domestic products (GDPs) per capita per DALY or QALY thresholds. Conclusion We did not find evidence that contradicts current practice of many researchers and decision-makers of using QALYs or DALYs interchangeably. Differences attributed to the choice of metric could influence final decisions, but similarly to other frequently used assumptions.
Fil: Augustovski, Federico Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Pque. Centenario. Centro de Investigaciones En Epidemiología y Salud Publica. Instituto de Efectividad Clinica y Sanitaria. Centro de Investigaciones En Epidemiología y Salud Publica.; Argentina
Fil: Colantonio, Lisandro Damián. University of Alabama at Birmingahm; Estados Unidos
Fil: Galante, Julieta. Cardiff University; Reino Unido
Fil: Bardach, Ariel Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Pque. Centenario. Centro de Investigaciones En Epidemiología y Salud Publica. Instituto de Efectividad Clinica y Sanitaria. Centro de Investigaciones En Epidemiología y Salud Publica.; Argentina
Fil: Caporale, Joaquín E.. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Pque. Centenario. Centro de Investigaciones En Epidemiología y Salud Publica. Instituto de Efectividad Clinica y Sanitaria. Centro de Investigaciones En Epidemiología y Salud Publica.; Argentina
Fil: Zárate, Víctor. Universidad San Sebastian; Chile
Fil: Chuang, Ling Hsiang. Pharmerit; Países Bajos
Fil: Pichón-Riviere, Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Pque. Centenario. Centro de Investigaciones En Epidemiología y Salud Publica. Instituto de Efectividad Clinica y Sanitaria. Centro de Investigaciones En Epidemiología y Salud Publica.; Argentina
Fil: Kind, Paul. University of Leeds; Reino Unido
description Background The measurement of health benefits is a key issue in health economic evaluations. There is very scarce empirical literature exploring the differences of using quality-adjusted life years (QALYs) or disability-adjusted life years (DALYs) as benefit metrics and their potential impact in decision-making. Methods Two previously published models delivering outputs in QALYs, were adapted to estimate DALYs: a Markov model for human papilloma virus (HPV) vaccination, and a pneumococcal vaccination deterministic model (PNEUMO). Argentina, Chile, and the United Kingdom studies were used, where local EQ-5D social value weights were available to provide local QALY weights. A primary study with descriptive vignettes was done (n = 73) to obtain EQ-5D data for all health states included in both models. Several scenario analyses were carried-out to evaluate the relative importance of using different metrics (DALYS or QALYs) to estimate health benefits on these economic evaluations. Results QALY gains were larger than DALYs avoided in all countries for HPV, leading to more favorable decisions using the former. With discounting and age-weighting – scenario with greatest differences in all countries – incremental DALYs avoided represented the 75%, 68%, and 43% of the QALYs gained in Argentina, Chile, and United Kingdom respectively. Differences using QALYs or DALYs were less consistent and sometimes in the opposite direction for PNEUMO. These differences, similar to other widely used assumptions, could directly influence decision-making using usual gross domestic products (GDPs) per capita per DALY or QALY thresholds. Conclusion We did not find evidence that contradicts current practice of many researchers and decision-makers of using QALYs or DALYs interchangeably. Differences attributed to the choice of metric could influence final decisions, but similarly to other frequently used assumptions.
publishDate 2017
dc.date.none.fl_str_mv 2017-01
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/11336/44801
Augustovski, Federico Ariel; Colantonio, Lisandro Damián; Galante, Julieta; Bardach, Ariel Esteban; Caporale, Joaquín E.; et al.; Measuring the Benefits of Healthcare: DALYs and QALYs – Does the Choice of Measure Matter? A Case Study of Two Preventive Interventions; Kerman University of Medical Sciences; International Journal of Health Policy and Management; 7; 2; 1-2017; 120-136
2322-5939
CONICET Digital
CONICET
url http://hdl.handle.net/11336/44801
identifier_str_mv Augustovski, Federico Ariel; Colantonio, Lisandro Damián; Galante, Julieta; Bardach, Ariel Esteban; Caporale, Joaquín E.; et al.; Measuring the Benefits of Healthcare: DALYs and QALYs – Does the Choice of Measure Matter? A Case Study of Two Preventive Interventions; Kerman University of Medical Sciences; International Journal of Health Policy and Management; 7; 2; 1-2017; 120-136
2322-5939
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.ijhpm.com/article_3356_0.html
info:eu-repo/semantics/altIdentifier/doi/10.15171/IJHPM.2017.47
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 Kerman University of Medical Sciences
publisher.none.fl_str_mv Kerman University of Medical Sciences
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
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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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