Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/30282
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dc.contributor.authorGao, Lan-
dc.contributor.authorMoodie, Marj-
dc.contributor.authorYassi, Nawaf-
dc.contributor.authorDavis, Stephen M-
dc.contributor.authorBladin, Christopher F-
dc.contributor.authorSmith, Karen-
dc.contributor.authorBernard, Stephen-
dc.contributor.authorStephenson, Michael-
dc.contributor.authorChurilov, Leonid-
dc.contributor.authorCampbell, Bruce C V-
dc.contributor.authorZhao, Henry-
dc.date2022-
dc.date.accessioned2022-06-23T00:34:58Z-
dc.date.available2022-06-23T00:34:58Z-
dc.date.issued2022-05-13-
dc.identifier.citationFrontiers in neurology 2022; 13: 871999en
dc.identifier.issn1664-2295
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/30282-
dc.description.abstractPre-hospital severity-based triaging using the Ambulance Clinical Triage For Acute Stroke Treatment (ACT-FAST) algorithm has been demonstrated to substantially reduce time to endovascular thrombectomy in Melbourne, Australia. We aimed to model the cost-effectiveness of an ACT-FAST bypass system from the healthcare system perspective. A simulation model was developed to estimate the long-term costs and health benefits associated with diagnostic accuracy of the ACT-FAST algorithm. Three-month post stroke functional outcome was projected to the lifetime horizon to estimate the long-term cost-effectiveness between two strategies (ACT-FAST vs. standard care pathways). For ACT-FAST screened true positives (i.e., screened positive and eligible for EVT), a 52 mins time saving was applied unanimously to the onset to arterial time for EVT, while 10 mins delay in thrombolysis was applied for false-positive (i.e., screened positive but was ineligible for EVT) thrombolysis-eligible infarction. Quality-adjusted life year (QALY) was employed as the outcome measure to calculate the incremental cost-effectiveness ratio (ICER) between the ACT-FAST algorithm and the current standard care pathway. Over the lifetime, ACT-FAST was associated with lower costs (-$45) and greater QALY gains (0.006) compared to the current standard care pathway, resulting in it being the dominant strategy (less costly but more health benefits). Implementing ACT-FAST triaging led to higher proportion of patients received EVT procedure (30 more additional EVT performed per 10,000 patients). The total Net Monetary Benefit from ACT-FAST care estimated at A$0.76 million based on its implementation for a single year. An ACT-FAST severity-triaging strategy is associated with cost-saving and increased benefits when compared to standard care pathways. Implementing ACT-FAST triaging increased the proportion of patients who received EVT procedure due to more patients arriving at EVT-capable hospitals within the 6-h time window (when imaging selection is less rigorous).en
dc.language.isoeng
dc.subjectACT-FASTen
dc.subjectdirect transferen
dc.subjectlarge vessel occlusionen
dc.subjectstrokeen
dc.subjectthrombectomyen
dc.titleLong-Term Cost-Effectiveness of Severity-Based Triaging for Large Vessel Occlusion Stroke.en
dc.typeJournal Articleen
dc.identifier.journaltitleFrontiers in neurologyen
dc.identifier.affiliationMedicine (University of Melbourne)en
dc.identifier.affiliationDepartment of Neurology, Faculty of Medicine, Nursing and Health Sciences, Eastern Health and Eastern Health Clinical School, Monash University, Melbourne, VIC, Australia..en
dc.identifier.affiliationDeakin Health Economics, Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, VIC, Australia..en
dc.identifier.affiliationDepartment of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia..en
dc.identifier.affiliationPopulation Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia..en
dc.identifier.affiliationAmbulance Victoria, Melbourne, VIC, Australia..en
dc.identifier.pubmedurihttps://pubmed.ncbi.nlm.nih.gov/35645977/en
dc.identifier.doi10.3389/fneur.2022.871999en
dc.type.contentTexten
dc.identifier.orcid0000-0002-9807-6606en
dc.identifier.pubmedid35645977
local.name.researcherChurilov, Leonid
item.openairetypeJournal Article-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
crisitem.author.deptMedicine (University of Melbourne)-
crisitem.author.deptThe Florey Institute of Neuroscience and Mental Health-
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