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Progressivity of out-of-pocket costs under Australia's universal health care system: A national linked data study

dc.contributor.authorLaw, Hsei Di
dc.contributor.authorMarasinghe, Dinith
dc.contributor.authorButler, Danielle
dc.contributor.authorWelsh, Jennifer
dc.contributor.authorLancsar, Emily
dc.contributor.authorBanks, Emily
dc.contributor.authorBiddle, Nicholas
dc.contributor.authorKorda, Rosemary
dc.date.accessioned2023-04-19T01:13:45Z
dc.date.available2023-04-19T01:13:45Z
dc.date.issued2023-01
dc.description.abstractBACKGROUND In line with affordability and equity principles, Medicare-Australia's universal health care program-has measures to contain out-of-pocket (OOP) costs, particularly for lower income households. This study examined the distribution of OOP costs for Medicare-subsidised out-of-hospital services and prescription medicines in Australian households, according to their ability to pay. METHODS OOP costs for out-of-hospital services and medicines in 2017-18 were estimated for each household, using 2016 Australian Census data linked to Medicare Benefits Schedule (MBS) and Pharmaceutical Benefit Scheme (PBS) claims. We derived household disposable income by combining income information from the Census linked to income tax and social security data. We quantified OOP costs as a proportion of equivalised household disposable income and calculated Kakwani progressivity indices (K). RESULTS Using data from 82% (n = 6,830,365) of all Census private households, OOP costs as a percentage of equivalised household disposable income decreased from 1.16% in the poorest decile to 0.63% in the richest decile for MBS services, and from 1.35% to 0.35% for PBS medicines. The regressive trend was less pronounced for MBS services (K = -0.06), with percentage OOP cost relatively stable between the 2nd and 9th income deciles; while percentage OOP cost decreased with increasing income for PBS medicines (K = -0.24). CONCLUSION OOP costs for out-of-hospital Medicare services were mildly regressive while those for prescription medicines were distinctly regressive. Actions to reduce inequity in OOP costs, particularly for medicines, should be considered.en_AU
dc.description.sponsorshipThis work was supported by the National Health and Medical Research Council of Australia Partnership Project Grant (grant number: 1134707).en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0168-8510en_AU
dc.identifier.urihttp://hdl.handle.net/1885/289406
dc.language.isoen_AUen_AU
dc.provenanceThis is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_AU
dc.publisherElsevieren_AU
dc.relationhttp://purl.org/au-research/grants/nhmrc/GNT1134707en_AU
dc.rights© 2022 The Author(s). Published by Elsevier B.V.en_AU
dc.rights.licenseCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_AU
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_AU
dc.sourceHealth policyen_AU
dc.subjectequityen_AU
dc.subjecthealth financingen_AU
dc.subjecthealthcareen_AU
dc.subjectmedicinesen_AU
dc.subjectout-of-pocket costen_AU
dc.subjectageden_AU
dc.subjecthumansen_AU
dc.subjectuniversal health careen_AU
dc.subjectsemantic weben_AU
dc.subjectfinancing, personalen_AU
dc.subjectaustraliaen_AU
dc.subjectnational health programsen_AU
dc.subjecthealth expendituresen_AU
dc.subjectprescription drugsen_AU
dc.titleProgressivity of out-of-pocket costs under Australia's universal health care system: A national linked data studyen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.lastpage50en_AU
local.bibliographicCitation.startpage44en_AU
local.contributor.affiliationLaw, H. D., National Centre for Epidemiology and Population Health, The Australian National Universityen_AU
local.contributor.affiliationButler, D., National Centre for Epidemiology and Population Health, The Australian National Universityen_AU
local.contributor.affiliationWelsh, J., National Centre for Epidemiology and Population Health, The Australian National Universityen_AU
local.contributor.affiliationLancsar, E., National Centre for Epidemiology and Population Health, The Australian National Universityen_AU
local.contributor.affiliationBanks, E., National Centre for Epidemiology and Population Health, The Australian National Universityen_AU
local.contributor.affiliationKorda, R., National Centre for Epidemiology and Population Health, The Australian National Universityen_AU
local.identifier.ariespublicationu1149537xPUB3
local.identifier.citationvolume127en_AU
local.identifier.doi10.1016/j.healthpol.2022.10.010en_AU
local.identifier.essn1872-6054en_AU
local.publisher.urlhttps://www.elsevier.com/en-auen_AU
local.type.statusPublished Versionen_AU

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