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dc.contributor.authorCuervo L.G
dc.contributor.authorVillamizar C.J
dc.contributor.authorOsorio L
dc.contributor.authorOspina M.B
dc.contributor.authorCuervo D.E
dc.contributor.authorCuervo D
dc.contributor.authorBula M.O
dc.contributor.authorZapata P
dc.contributor.authorOwens N.J
dc.contributor.authorHatcher-Roberts J
dc.contributor.authorMartín E.A
dc.contributor.authorPiquero F
dc.contributor.authorPinilla L.F.
dc.date.accessioned2024-10-09T14:28:37Z
dc.date.available2024-10-09T14:28:37Z
dc.date.issued2024
dc.identifier.issn2667193X
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85192063026&doi=10.1016%2fj.lana.2024.100752&partnerID=40&md5=ef266bcbd1e5ce330253844c8801b52a
dc.identifier.urihttp://hdl.handle.net/10818/61973
dc.description.abstractBackground: Many cities with traffic congestion lack accessibility assessments accounting for traffic congestion and equity considerations but have disaggregated georeferenced municipal-level open data on health services, populations, and travel times big data. We convened a multistakeholder intersectoral collaborative group that developed a digital, web-based platform integrating open and big data to derive dynamic spatial–temporal accessibility measurements (DSTAM) for haemodialysis services. We worked with stakeholders and data scientists and considered people's places of residence, service locations, and travel time to the service with the shortest travel time. Additionally, we predicted the impacts of strategically introducing haemodialysis services where they optimise accessibility. Methods: Cross-sectional analyses of DSTAM, accounting for traffic congestion, were conducted using a web-based platform. This platform integrated traffic analysis zones, public census and health services datasets, and Google Distance Matrix API travel-time data. Predictive and prescriptive analytics identified optimal locations for new haemodialysis services and estimated improvements. Primary outcomes included the percentage of residents within a 20-min car drive of a haemodialysis service during peak and free-flow traffic congestion. Secondary outcomes focused on optimal locations to maximise accessibility with new services and potential improvements. Findings were disaggregated by sociodemographic characteristics, providing an equity perspective. The study in Cali, Colombia, used geographic and disaggregated sociodemographic data from the adjusted 2018 Colombian census. Predicted travel times were obtained for two weeks in 2020. Findings: There were substantial traffic variations. Congestion reduced accessibility, especially among marginalised groups. For 6–12 July, free-flow and peak-traffic accessibility rates were 95.2% and 45.0%, respectively. For 23–29 November, free-flow and peak traffic accessibility rates were 89.1% and 69.7%. The locations where new services would optimise accessibility had slight variation and would notably enhance accessibility and health equity. Interpretation: Establishing haemodialysis services in targeted areas has significant potential benefits. By increasing accessibility, it would enhance urban health and equity. Funding: No external or institutional funding was received. © 2024 The Authorsen
dc.formatapplication/pdfes_CO
dc.language.isoenges_CO
dc.publisherThe Lancet Regional Health - Americases_CO
dc.relation.ispartofseriesThe Lancet Regional Health - Americas Vol. 34 N° art. 100752
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceUniversidad de La Sabanaes_CO
dc.sourceIntellectum Repositorio Universidad de La Sabanaes_CO
dc.subject.otherAccessibility indicatorsen
dc.subject.otherDynamic accessibility assessmentsen
dc.subject.otherGeographic accessibilityen
dc.subject.otherHealth services accessibilityen
dc.subject.otherHealth services planningen
dc.subject.otherHealth services researchen
dc.subject.otherHemodialysisen
dc.subject.otherIntersectoral interactionsen
dc.subject.otherKnowledge translation and disseminationen
dc.subject.otherMultistakeholder collaborationen
dc.subject.otherPeople-centred focusen
dc.subject.otherResearch for healthen
dc.subject.otherUrban planning innovationen
dc.titleDynamic measurements of geographical accessibility considering traffic congestion using open data: a cross-sectional assessment for haemodialysis services in Cali, Colombiaen
dc.typejournal articlees_CO
dc.type.hasVersionpublishedVersiones_CO
dc.rights.accessRightsopenAccesses_CO
dc.identifier.doi10.1016/j.lana.2024.100752


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