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Access to dialysis services: A systematic mapping reviewbased on geographical information systems

dc.contributor.authorHoseini, Benyamin
dc.contributor.authorBagheri, Nasser
dc.contributor.authorKiani, Behzad
dc.contributor.authorAzizi, Amirabbas
dc.contributor.authorTabesh, Hamesh
dc.contributor.authorTara, Mahmoud
dc.date.accessioned2021-10-18T01:34:39Z
dc.date.available2021-10-18T01:34:39Z
dc.date.issued2018
dc.date.updated2020-11-23T11:31:29Z
dc.description.abstractEquitable access to healthcare services constitutes one of the leading priorities of healthcare provision and access to dialysis services (ADS) has an essential impact on patients depending on renal dialysis. The many existing GIS-based ADS evaluations include various spatial and non-spatial factors affecting ADS. We systematically mapped and reviewed the available literature with reference to this area identifying gaps in current GIS-based ADS measurements and developing recommendations for future studies. A threestep, systematic mapping review of the available GIS-related evidence in PubMed, Embase, Web of science, Scopus, Science Direct and IEEE Xplore was performed in May 2016 and the information collected updated October 2017 by two independent selection processes. The quality of the studies was assessed using an informal, mixed-approach scoring system. Out of 1119 literature references identified, 36 were identified and used for final review after removal of duplicates, study screenings and applying inclusion/exclusion criteria. Given the contents of the selected studies, three study groups were identified and 41 factors with potential effects on ADS determined. These studies mainly addressed the potential and/or spatial aspects of ADS. Our systematic mapping review of the evidence revealed that current GIS-based measures of ADS tend to calculate potential ADS instead of a realized one. It was also noted that listed factors affecting ADS were mainly nonspatial bringing forth the hypothesis that designing an integrated ADS index could possibly produce better ADS score than those currently advocated. Some primary and secondary research suggestions are made and a list of recommendations offered.en_AU
dc.description.sponsorshipFunding: the work was supported by a grant [941344] from Mashhad University of Medical Sciences Research Council.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1970-7096en_AU
dc.identifier.urihttp://hdl.handle.net/1885/250972
dc.language.isoen_AUen_AU
dc.provenanceThis article is distributed under the terms of the Creative Commons Attribution Noncommercial License (CC BY-NC 4.0) which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.en_AU
dc.publisherPAGEpressen_AU
dc.rights©Copyright B. Hoseini et al., 2018en_AU
dc.rights.licenseCreative Commons Licence Attribution Non Commercial 4.0 International (CC BY-NC 4.0)en_AU
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en_AU
dc.sourceGeospatial Healthen_AU
dc.subjectAccessen_AU
dc.subjectDialysisen_AU
dc.subjectGeographical information systemsen_AU
dc.subjectFloating catchmenten_AU
dc.subjectRenalen_AU
dc.titleAccess to dialysis services: A systematic mapping reviewbased on geographical information systemsen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue1en_AU
local.bibliographicCitation.lastpage10en_AU
local.bibliographicCitation.startpage3en_AU
local.contributor.affiliationHoseini , Benyamin, epartment of Biomedical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences,en_AU
local.contributor.affiliationBagheri, Nasser, College of Health and Medicine, ANUen_AU
local.contributor.affiliationKiani, Behzad, Department of Biomedical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences,en_AU
local.contributor.affiliationAzizi, Amirabbas, Department of Health Information Technologyen_AU
local.contributor.affiliationTabesh, Hamesh, 1Department of Medical Informatics, Mashhad University of Medical Sciences,en_AU
local.contributor.affiliationTara , Mahmoud, Department of Biomedical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences,en_AU
local.contributor.authoruidBagheri, Nasser, u5234024en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor111711 - Health Information Systems (incl. Surveillance)en_AU
local.identifier.absseo920404 - Disease Distribution and Transmission (incl. Surveillance and Response)en_AU
local.identifier.ariespublicationu4102339xPUB356en_AU
local.identifier.citationvolume13en_AU
local.identifier.doi10.4081/gh.2018.577en_AU
local.identifier.scopusID2-s2.0-85046769365
local.publisher.urlhttp://www.pagepress.org/en_AU
local.type.statusPublished Versionen_AU

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