Trading off health and financial protection benefits with multiobjective optimization

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buir.contributor.authorKarsu, Özlem
buir.contributor.orcidKarsu, Özlem|0000-0002-9926-2021
dc.citation.epage69en_US
dc.citation.issueNumber1en_US
dc.citation.spage55en_US
dc.citation.volumeNumber30en_US
dc.contributor.authorKarsu, Özlem
dc.contributor.authorMorton, Alec
dc.date.accessioned2022-02-11T11:31:02Z
dc.date.available2022-02-11T11:31:02Z
dc.date.issued2020-10-18
dc.departmentDepartment of Industrial Engineeringen_US
dc.description.abstractCountries which are introducing a system of Universal health coverage have to make a number of key tradeoffs, of which one is the tradeoff between the level of coverage and the degree to which patients are exposed to potentially catastrophic financial risk. In this study, we first present a way in which decision makers might be supported to focus on in a particular part of the tradeoff curve and ultimately choose an efficient solution. We then introduce some multiobjective optimization models for generating the tradeoff curves given data about potential treatment numbers, costs, and benefits. Using a dataset from Malawi, we demonstrate the approach and suggest a core index metric to make specific observations on the individual treatments. Moreover, as there has been some debate about the best way to measure financial exposure, we also investigate the extent to sensitivity of our results to the precise technical choice of financial exposure metric. Specifically, we consider two metrics, which are the total number of cases protected from catastrophic expenditure and a convex penalty function that penalizes out-of-pocket expenditures in an increasingly growing way, respectively.en_US
dc.description.provenanceSubmitted by Samet Emre (samet.emre@bilkent.edu.tr) on 2022-02-11T11:31:01Z No. of bitstreams: 1 Trading_off_health_and_financial_protection_benefits_with_multiobjective_optimization.pdf: 1418558 bytes, checksum: 27df11e8032537e6e95966bf6fe4c566 (MD5)en
dc.description.provenanceMade available in DSpace on 2022-02-11T11:31:02Z (GMT). No. of bitstreams: 1 Trading_off_health_and_financial_protection_benefits_with_multiobjective_optimization.pdf: 1418558 bytes, checksum: 27df11e8032537e6e95966bf6fe4c566 (MD5) Previous issue date: 2020-10-18en
dc.embargo.release2021-10-18
dc.identifier.doi10.1002/hec.4176en_US
dc.identifier.eissn1099-1050
dc.identifier.urihttp://hdl.handle.net/11693/77286
dc.language.isoEnglishen_US
dc.publisherJohn Wiley & Sons Ltd.en_US
dc.relation.isversionofhttps://doi.org/10.1002/hec.4176en_US
dc.source.titleHealth Economicsen_US
dc.subjectCost‐effectiveness analysisen_US
dc.subjectEconomic analysisen_US
dc.subjectExtended cost‐effectiveness analysisen_US
dc.subjectFinancialen_US
dc.titleTrading off health and financial protection benefits with multiobjective optimizationen_US
dc.typeArticleen_US

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