What attributes should be included in a discrete choice experiment related to health technologies? A systematic literature review

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RECERCAT Home > Universitat Internacional de Catalunya > Recerca > Articles > Ciències de la Salut > View document

To access the full text documents, please follow this link: http://hdl.handle.net/20.500.12328/1382

dc.contributor.author	Trapero Bertran, Marta
dc.contributor.author	Rodríguez-Martín, Beatriz
dc.contributor.author	López-Bastida, Julio
dc.date	2019-12-07T17:42:02Z
dc.date	2019-12-07T17:42:02Z
dc.date	2019-07-18
dc.identifier	Trapero-Bertran, Marta; Rodríguez-Martín, Beatriz; López-Bastida, Julio. What attributes should be included in a discrete choice experiment related to health technologies? A systematic literature review. PLoS ONE, vol. 14, núm. 7, e0219905. Disponible en: <https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0219905>. Fecha de acceso: 14 dic. 2019. DOI: 10.1371/journal.pone.0219905.
dc.identifier	1932-6203
dc.identifier	https://dx.doi.org/10.1371/journal.pone.0219905
dc.identifier.uri	http://hdl.handle.net/20.500.12328/1382
dc.description	Discrete choice experiments (DCEs) are a way to assess priority-setting in health care provision. This approach allows for the evaluation of individuals’ preferences as a means of adding criteria to traditional quality-adjusted life year analysis. The aim of this systematic literature review was to identify attributes for designing a DCE in order to then develop and validate a framework that supports decision-making on health technologies. Our systematic literature review replicated the methods and search terms used by de Bekker-Grob et al. 2012 and Clark et al. 2014. The Medline database was searched for articles dated between 2008 and 2015. The search was limited to studies in English that reflected general preferences and were choice-based, published as full-text articles and related to health technologies. This study included 72 papers, 52% of which focused on DCEs on drug treatments. The average number of attributes used in all included DCE studies was 5.74 (SD 1.98). The most frequently used attributes in these DCEs were improvements in health (78%), side effects (57%) and cost of treatment (53%). Other, less frequently used attributes included waiting time for treatment or duration of treatment (25%), severity of disease (7%) and value for money (4%). The attributes identified might inform future DCE surveys designed to study societal preferences regarding health technologies in order to better inform decisions in health technology assessment.
dc.format	15
dc.format	application/pdf
dc.language	eng
dc.publisher	Public Library of Science
dc.relation	PLoS One
dc.relation	14;7
dc.relation	info:eu-repo/grantAgreement/EC/FP7/305983
dc.rights	© 2019 Trapero-Bertran et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.rights	https://creativecommons.org/licenses/by/4.0/
dc.subject	Disseny d'experiments
dc.subject	Bases de dades -- Cerca
dc.subject	Assistència mèdica
dc.subject	Economia de la salut
dc.subject	Ressenyes sistemàtiques (Investigació mèdica)
dc.subject	Farmàcia -- Presa de decisions
dc.subject	Qüestionaris
dc.subject	Diseño de experimentos
dc.subject	Bases de datos -- Búsqueda de información
dc.subject	Asistencia médica
dc.subject	Economía de la salud
dc.subject	Farmacia -- Toma de decisiones
dc.subject	Experimental design
dc.subject	Health care policy
dc.subject	Database searching
dc.subject	Health economics
dc.subject	Systematic reviews (Medical research)
dc.subject	Drug Therapy
dc.subject	Decision making
dc.subject	Questionnaires
dc.title	What attributes should be included in a discrete choice experiment related to health technologies? A systematic literature review
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/acceptedVersion

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