Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/43166
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dc.contributor.authorShukla, Nageshen
dc.contributor.authorPradhan, Biswajeeten
dc.contributor.authorDikshit, Abhirupen
dc.contributor.authorChakraborty, Subrataen
dc.contributor.authorAlamri, Adbullah Men
dc.date.accessioned2022-02-22T00:12:21Z-
dc.date.available2022-02-22T00:12:21Z-
dc.date.issued2020-06-01-
dc.identifier.citationInternational Journal of Environmental Research and Public Health, 17(11), p. 1-19en
dc.identifier.issn1660-4601en
dc.identifier.issn1661-7827en
dc.identifier.urihttps://hdl.handle.net/1959.11/43166-
dc.description.abstractUnderstanding barriers to healthcare access is a multifaceted challenge, which is often highly diverse depending on location and the prevalent surroundings. The barriers can range from transport accessibility to socio-economic conditions, ethnicity and various patient characteristics. Australia has one of the best healthcare systems in the world; however, there are several concerns surrounding its accessibility, primarily due to the vast geographical area it encompasses. This review study is an attempt to understand the various modeling approaches used by researchers to analyze diverse barriers related to specific disease types and the various areal distributions in the country. In terms of barriers, the most affected people are those living in rural and remote parts, and the situation is even worse for indigenous people. These models have mostly focused on the use of statistical models and spatial modeling. The review reveals that most of the focus has been on cancer-related studies and understanding accessibility among the rural and urban population. Future work should focus on further categorizing the population based on indigeneity, migration status and the use of advanced computational models. This article should not be considered an exhaustive review of every aspect as each section deserves a separate review of its own. However, it highlights all the key points, covered under several facets which can be used by researchers and policymakers to understand the current limitations and the steps that need to be taken to improve health accessibility.en
dc.languageenen
dc.publisherMDPI AGen
dc.relation.ispartofInternational Journal of Environmental Research and Public Healthen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleA Review of Models Used for Investigating Barriers to Healthcare Access in Australiaen
dc.typeJournal Articleen
dc.identifier.doi10.3390/ijerph17114087en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameNageshen
local.contributor.firstnameBiswajeeten
local.contributor.firstnameAbhirupen
local.contributor.firstnameSubrataen
local.contributor.firstnameAdbullah Men
local.profile.schoolSchool of Science and Technologyen
local.profile.emailschakra3@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeSwitzerlanden
local.identifier.runningnumber4087en
local.format.startpage1en
local.format.endpage19en
local.identifier.scopusid85086178388en
local.peerreviewedYesen
local.identifier.volume17en
local.identifier.issue11en
local.access.fulltextYesen
local.contributor.lastnameShuklaen
local.contributor.lastnamePradhanen
local.contributor.lastnameDikshiten
local.contributor.lastnameChakrabortyen
local.contributor.lastnameAlamrien
dc.identifier.staffune-id:schakra3en
local.profile.orcid0000-0002-0102-5424en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/43166en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleA Review of Models Used for Investigating Barriers to Healthcare Access in Australiaen
local.relation.fundingsourcenoteThis research was supported by the Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and IT, the University of Technology Sydney (UTS). This research was also supported by Researchers Supporting Project nua.mber RSP-2020/14, King Saud University, Riyadh, Saudi Arabia.en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorShukla, Nageshen
local.search.authorPradhan, Biswajeeten
local.search.authorDikshit, Abhirupen
local.search.authorChakraborty, Subrataen
local.search.authorAlamri, Adbullah Men
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/fc5224bd-3679-4e69-adce-dfce0bffb28den
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2020en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/fc5224bd-3679-4e69-adce-dfce0bffb28den
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/fc5224bd-3679-4e69-adce-dfce0bffb28den
local.subject.for2020460102 Applications in healthen
local.subject.for2020460209 Planning and decision makingen
local.subject.for2020460999 Information systems not elsewhere classifieden
local.subject.seo2020200499 Public health (excl. specific population health) not elsewhere classifieden
local.subject.seo2020280115 Expanding knowledge in the information and computing sciencesen
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School of Science and Technology
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