1. RODNA
  2. CONICET
  3. CONICET
Registro completo de metadatos
Campo DC Valor Lengua/Idioma
dc.creatorAugustovski, Federico Ariel-
dc.creatorColantonio, Lisandro Damián-
dc.creatorGalante, Julieta-
dc.creatorBardach, Ariel Esteban-
dc.creatorCaporale, Joaquín E.-
dc.creatorZárate, Víctor-
dc.creatorChuang, Ling Hsiang-
dc.creatorPichón-Riviere, Andrés-
dc.creatorKind, Paul-
dc.date2018-05-10T18:24:49Z-
dc.date2018-05-10T18:24:49Z-
dc.date2017-01-
dc.date2018-03-27T20:00:39Z-
dc.date.accessioned2019-04-29T15:32:26Z-
dc.date.available2019-04-29T15:32:26Z-
dc.date.issued2018-05-10T18:24:49Z-
dc.date.issued2018-05-10T18:24:49Z-
dc.date.issued2017-01-
dc.date.issued2018-03-27T20:00:39Z-
dc.identifierAugustovski, 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-
dc.identifier2322-5939-
dc.identifierhttp://hdl.handle.net/11336/44801-
dc.identifierCONICET Digital-
dc.identifierCONICET-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/296086-
dc.descriptionBackground 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.-
dc.descriptionFil: 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-
dc.descriptionFil: Colantonio, Lisandro Damián. University of Alabama at Birmingahm; Estados Unidos-
dc.descriptionFil: Galante, Julieta. Cardiff University; Reino Unido-
dc.descriptionFil: 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-
dc.descriptionFil: 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-
dc.descriptionFil: Zárate, Víctor. Universidad San Sebastian; Chile-
dc.descriptionFil: Chuang, Ling Hsiang. Pharmerit; Países Bajos-
dc.descriptionFil: 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-
dc.descriptionFil: Kind, Paul. University of Leeds; Reino Unido-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherKerman University of Medical Sciences-
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://www.ijhpm.com/article_3356_0.html-
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.15171/IJHPM.2017.47-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rightshttps://creativecommons.org/licenses/by/2.5/ar/-
dc.sourcereponame:CONICET Digital (CONICET)-
dc.sourceinstname:Consejo Nacional de Investigaciones Científicas y Técnicas-
dc.sourceinstacron:CONICET-
dc.subjectQALY-
dc.subjectDALY-
dc.subjectSalud Ocupacional-
dc.subjectCiencias de la Salud-
dc.subjectCIENCIAS MÉDICAS Y DE LA SALUD-
dc.titleMeasuring the Benefits of Healthcare: DALYs and QALYs – Does the Choice of Measure Matter? A Case Study of Two Preventive Interventions-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
Aparece en las colecciones: CONICET

Ficheros en este ítem:
No hay ficheros asociados a este ítem.
Mostrar el registro sencillo del ítem