Googling Service Boundaries for Endovascular Clot Retrieval Hub Hospitals in a Metropolitan Setting: Proof-of-Concept Study.
Background and Purpose: There is great interest in how endovascular clot retrieval hubs provide services to a population. We applied a computational method to objectively generate service boundaries for such endovascular clot retrieval hubs, defined by traveling time to hub.Methods: Stroke incidence...
| Publicado en: | Stroke (00392499) Vol. 48; no. 5; pp. 1353 - 1362 |
|---|---|
| Autores principales: | , , , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
May2017
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=122680554&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 122680554 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00392499 1FT jtl: Stroke (00392499) issn: 00392499 maglogo: N pubinfo: dt: May2017 vid: 48 iid: 5 pid: 433 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 122680554 122680554 NLM28356438 122680554 10.1161/STROKEAHA.116.015323 NLM28356438 122680554 ppf: 1353 ppct: 9 formats: tig: atl: Googling Service Boundaries for Endovascular Clot Retrieval Hub Hospitals in a Metropolitan Setting: Proof-of-Concept Study. aug: au: Phan, Thanh G. Beare, Richard Jian Chen Clissold, Benjamin Ly, John Singhal, Shaloo Ma, Henry Srikanth, Velandai Chen, Jian affil: Stroke Unit, Monash Health, Melbourne, Victoria, Australia sug: subj: Internet Transportation of Patients Statistics and Numerical Data Catchment Area (Health) Statistics Methods Stroke Therapy Hospitals Statistics and Numerical Data Models, Statistical Victoria Transportation of Patients Standards Human ab: Background and Purpose: There is great interest in how endovascular clot retrieval hubs provide services to a population. We applied a computational method to objectively generate service boundaries for such endovascular clot retrieval hubs, defined by traveling time to hub.Methods: Stroke incidence data merged with population census to estimate numbers of stroke in metropolitan Melbourne, Australia. Traveling time from randomly generated addresses to 4 endovascular clot retrieval-capable hubs (Royal Melbourne Hospital [RMH], Monash Medical Center [MMC], Alfred Hospital [ALF], and Austin Hospital [AUS]) estimated using Google Map application program interface. Boundary maps generated based on traveling time at various times of day for combinations of hubs.Results: In a 2-hub model, catchment was best distributed when RMH was paired with MMC (model 1a, RMH 1765 km2 and MMC 1164 km2) or with AUS (model 1c, RMH 1244 km2 and AUS 1685 km2), with no statistical difference between models (P=0.20). Catchment was poorly distributed when RMH was paired with ALF (model 1b, RMH 2252 km2 and ALF 676 km2), significantly different from both models 1a and 1c (both P<0.05). Model 1a had the greatest proportion of patients arriving within ideal time of 30 minutes followed by model 1c (P<0.001). In a 3-hub model, the combination of RMH, MMC, and AUS was superior to that of RMH, MMC, and ALF in catchment distribution and travel time. The method was also successfully applied to the city of Adelaide demonstrating wider applicability.Conclusions: We provide proof of concept for a novel computational method to objectively designate service boundaries for endovascular clot retrieval hubs. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|