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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/44801
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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 Técnicas2025-09-29T09:33:41Zoai: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:34982025-09-29 09:33:42.195CONICET 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/ |
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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 |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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