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dc.rights.licenseopenen_US
hal.structure.identifierBordeaux population health [BPH]
hal.structure.identifierGlobal Health in the Global South [GHiGS]
dc.contributor.authorD'ELBEE, Marc
dc.contributor.authorTERRIS-PRESTHOLT, Fern
dc.contributor.authorBRIGGS, Andrew
dc.contributor.authorGRIFFITHS, Ulla Kou
dc.contributor.authorLARMARANGE, Joseph
dc.contributor.authorMEDLEY, Graham Francis
dc.contributor.authorGOMEZ, Gabriella Beatriz
dc.date.accessioned2023-10-04T14:17:08Z
dc.date.available2023-10-04T14:17:08Z
dc.date.issued2023-06-18
dc.identifier.issn1099-1050en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/184327
dc.description.abstractEnAppropriate costing and economic modeling are major factors for the successful scale-up of health interventions. Various cost functions are currently being used to estimate costs of health interventions at scale in low- and middle-income countries (LMICs) potentially resulting in disparate cost projections. The aim of this study is to gain understanding of current methods used and provide guidance to inform the use of cost functions that is fit for purpose. We reviewed seven databases covering the economic and global health literature to identify studies reporting a quantitative analysis of costs informing the projected scale-up of a health intervention in LMICs between 2003 and 2019. Of the 8725 articles identified, 40 met the inclusion criteria. We classified studies according to the type of cost functions applied-accounting or econometric-and described the intended use of cost projections. Based on these findings, we developed new mathematical notations and cost function frameworks for the analysis of healthcare costs at scale in LMICs setting. These notations estimate variable returns to scale in cost projection methods, which is currently ignored in most studies. The frameworks help to balance simplicity versus accuracy and increase the overall transparency in reporting of methods.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subject.enHumans
dc.subject.enDeveloping Countries
dc.subject.enCost-Benefit Analysis
dc.subject.enHealth Care Costs
dc.subject.enAlgorithms
dc.title.enEstimating health care costs at scale in low- and middle-income countries: Mathematical notations and frameworks for the application of cost functions.
dc.title.alternativeHealth Econen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1002/hec.4722en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed37332114en_US
bordeaux.journalHealth Economicsen_US
bordeaux.page2216-2233en_US
bordeaux.volume32en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.issue10en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamGHIGSen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.identifier.funderIDAgence Française de Développementen_US
bordeaux.import.sourcepubmed
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
workflow.import.sourcepubmed
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Health%20Economics&rft.date=2023-06-18&rft.volume=32&rft.issue=10&rft.spage=2216-2233&rft.epage=2216-2233&rft.eissn=1099-1050&rft.issn=1099-1050&rft.au=D'ELBEE,%20Marc&TERRIS-PRESTHOLT,%20Fern&BRIGGS,%20Andrew&GRIFFITHS,%20Ulla%20Kou&LARMARANGE,%20Joseph&rft.genre=article


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