A Multi Criteria Approach for The Assessment of Drugs for Rare Diseases

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dc.contributor.authorNaili, Abdallah
dc.date.accessioned2016-08-15T12:55:49Z
dc.date.available2016-08-15T12:55:49Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/10393/35067
dc.identifier.urihttp://dx.doi.org/10.20381/ruor-5200
dc.description.abstractEvaluating Drugs for Rare Diseases (DRDs) for the purpose of reimbursement and beyond represents a tremendous challenge for most health care priorities. A consensus is set about the irrelevance of cost e ectiveness analysis to evaluate such drugs. The appeal for multi criteria decision aid models seems reasonable as the evaluation of DRDs is indeed multifaceted. However, the application of MCDA for the purpose of evaluating DRDs is yet primitive and simplistic. The present work tries to tackle the issue of evaluating DRDs from a decision maker angle by adopting an innovative robust ordinal regression MCDA method, UTADIS-GMS, that helps the decision maker discern between the DRDs based on their multi criteria value.
dc.language.isoen
dc.publisherUniversité d'Ottawa / University of Ottawa
dc.subjectRare Diseaases
dc.subjectDrugs for Rare Diseases
dc.subjectOrphan Drugs
dc.subjectHealth Economics
dc.titleA Multi Criteria Approach for The Assessment of Drugs for Rare Diseases
dc.typeThesis
dc.contributor.supervisorBen Amor, Sarah
thesis.degree.nameMSc
thesis.degree.levelMasters
thesis.degree.disciplineGénie / Engineering
CollectionThèses, 2011 - // Theses, 2011 -

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