dc.contributorJohns Hopkins Bloomberg Sch Publ Hlth
dc.contributorUniv E Anglia
dc.contributorCampbell Alliance
dc.contributorAustralian Natl Univ
dc.contributorUniversidade Federal de São Paulo (UNIFESP)
dc.contributorRadboud Univ Nijmegen
dc.creatorMirelman, Andrew
dc.creatorMentzakis, Emmanouil
dc.creatorKinter, Elizabeth
dc.creatorPaolucci, Francesco
dc.creatorFordham, Richard
dc.creatorOzawa, Sachiko
dc.creatorFerraz, Marcos Bosi [UNIFESP]
dc.creatorBaltussen, Rob
dc.creatorNiessen, Louis W.
dc.date.accessioned2016-01-24T14:27:08Z
dc.date.accessioned2023-09-04T18:18:19Z
dc.date.available2016-01-24T14:27:08Z
dc.date.available2023-09-04T18:18:19Z
dc.date.created2016-01-24T14:27:08Z
dc.date.issued2012-05-01
dc.identifierValue in Health. New York: Elsevier B.V., v. 15, n. 3, p. 534-539, 2012.
dc.identifier1098-3015
dc.identifierhttp://repositorio.unifesp.br/handle/11600/34814
dc.identifierWOS000303940600017.pdf
dc.identifier10.1016/j.jval.2012.04.001
dc.identifierWOS:000303940600017
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8612911
dc.description.abstractBackground: Worldwide, there is a need for formalization of the priority setting processes in health. Recent research has used the term multicriteria decision analysis for methods that systematically include preferences for both equity and efficiency. the present study compares decision-makers' preferences at the country level for a set of equity and efficiency criteria according to a multicriteria decision analysis framework. Methods: Discrete choice experiments were conducted for Brazil, Cuba, Nepal, Norway, and Uganda. By using standardized methods, we elicited preferences for intervention attributes using a individual choice questionnaire. A multinomial logistic regression was applied to estimate the coefficients for all single-policy criteria, per country. Attributes were assigned to an equity group or to an efficiency group. After testing for scale variance, predicted probabilities for interventions with both types of attributes were compared across countries. Results: the Norway and Nepal groups showed considerable prefer-ences for efficiency criteria over equity criteria with percent change in respective predicted sum probabilities of [10%, -84%] and [6%, -79%]. Brazil and Uganda also showed preference for the efficiency criteria though less convincingly ([-34%, -93%], [-18%, -63%], respectively). the Cuban group showed the strongest preferences with equity attributes dominating efficiency ([-52%, 213%]). Conclusions: Group preferences of policymakers show explicit but varying trade-offs of efficiency and equity in these diverse settings. This multicriteria decision analysis approach, using discrete choice experiments, indicates that systematic setting of health priorities is possible across a variety of countries. It may be a valuable tool to guide health reform initiatives.
dc.languageeng
dc.publisherElsevier B.V.
dc.relationValue in Health
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.rightsAcesso aberto
dc.subjectdiscrete choice experiment
dc.subjectefficiency
dc.subjectequity
dc.subjectpriority setting
dc.titleDecision-Making Criteria among National Policymakers in Five Countries: A Discrete Choice Experiment Eliciting Relative Preferences for Equity and Efficiency
dc.typeArtigo


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