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Calculating real-world travel routes instead of straight-line distance in the community response to out-of-hospital cardiac arrest
BACKGROUND: Using straight-line distance to estimate the proximity of public-access Automated External Defibrillators (AEDs) or volunteer first-responders to potential out-of-hospital cardiac arrests (OHCAs) does not reflect real-world travel distance. The difference between estimates may be an impo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8592858/ https://www.ncbi.nlm.nih.gov/pubmed/34816140 http://dx.doi.org/10.1016/j.resplu.2021.100176 |
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author | Smith, Christopher M. Lall, Ranjit Spaight, Robert Fothergill, Rachael T. Brown, Terry Perkins, Gavin D. |
author_facet | Smith, Christopher M. Lall, Ranjit Spaight, Robert Fothergill, Rachael T. Brown, Terry Perkins, Gavin D. |
author_sort | Smith, Christopher M. |
collection | PubMed |
description | BACKGROUND: Using straight-line distance to estimate the proximity of public-access Automated External Defibrillators (AEDs) or volunteer first-responders to potential out-of-hospital cardiac arrests (OHCAs) does not reflect real-world travel distance. The difference between estimates may be an important consideration for bystanders and first-responders responding to OHCAs and may potentially impact patient outcome. OBJECTIVES: To explore how calculating real-world travel routes instead of using straight-line distance estimates might impact the community response to OHCA. METHODS: We mapped 4355 OHCA (01/04/2016-31/03/2017) and 2677 AEDs in London (UK), and 1263 OHCA (18/06/2017-17/06/2018) and 4704 AEDs in East Midlands (UK) using ArcGIS mapping software. We determined the distance from OHCAs to the nearest AED using straight-line estimates and real-world travel routes. We mapped locations of potential OHCAs (London: n = 9065, 20/09/2019-22/03/2020; East Midlands: n = 7637, 20/09/2019-17/03/2020) for which volunteer first-responders were alerted by the GoodSAM mobile-phone app, and calculated response distance using straight-line estimates and real-world travel routes. We created Receiver Operating Characteristic (ROC) curves and calculated the Area Under the Curve (AUC) to determine if travel distance predicted whether or not a responder accepted an alert. RESULTS: Real-world travel routes to the nearest AED were (median) 219 m longer (623 m vs 406 m) than straight-line estimates in London, and 211 m longer (568 m vs 357 m) in East Midlands. The identity of the nearest AED changed on 26% occasions in both areas when calculating real-world travel routes. GoodSAM responders’ real-world travel routes were (median) 222 m longer (601 m vs 379 m) in London, and 291 m longer (814 m vs 523 m) in East Midlands. AUC statistics for both areas demonstrated that neither straight-line nor real-world travel distance predicted whether or not a responder accepted an alert. CONCLUSIONS: Calculating real-world travel routes increases the estimated travel distance and time for those responding to OHCAs. Calculating straight-line distance may overestimate the benefit of the community response to OHCA. |
format | Online Article Text |
id | pubmed-8592858 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-85928582021-11-22 Calculating real-world travel routes instead of straight-line distance in the community response to out-of-hospital cardiac arrest Smith, Christopher M. Lall, Ranjit Spaight, Robert Fothergill, Rachael T. Brown, Terry Perkins, Gavin D. Resusc Plus Rapid Response Systems BACKGROUND: Using straight-line distance to estimate the proximity of public-access Automated External Defibrillators (AEDs) or volunteer first-responders to potential out-of-hospital cardiac arrests (OHCAs) does not reflect real-world travel distance. The difference between estimates may be an important consideration for bystanders and first-responders responding to OHCAs and may potentially impact patient outcome. OBJECTIVES: To explore how calculating real-world travel routes instead of using straight-line distance estimates might impact the community response to OHCA. METHODS: We mapped 4355 OHCA (01/04/2016-31/03/2017) and 2677 AEDs in London (UK), and 1263 OHCA (18/06/2017-17/06/2018) and 4704 AEDs in East Midlands (UK) using ArcGIS mapping software. We determined the distance from OHCAs to the nearest AED using straight-line estimates and real-world travel routes. We mapped locations of potential OHCAs (London: n = 9065, 20/09/2019-22/03/2020; East Midlands: n = 7637, 20/09/2019-17/03/2020) for which volunteer first-responders were alerted by the GoodSAM mobile-phone app, and calculated response distance using straight-line estimates and real-world travel routes. We created Receiver Operating Characteristic (ROC) curves and calculated the Area Under the Curve (AUC) to determine if travel distance predicted whether or not a responder accepted an alert. RESULTS: Real-world travel routes to the nearest AED were (median) 219 m longer (623 m vs 406 m) than straight-line estimates in London, and 211 m longer (568 m vs 357 m) in East Midlands. The identity of the nearest AED changed on 26% occasions in both areas when calculating real-world travel routes. GoodSAM responders’ real-world travel routes were (median) 222 m longer (601 m vs 379 m) in London, and 291 m longer (814 m vs 523 m) in East Midlands. AUC statistics for both areas demonstrated that neither straight-line nor real-world travel distance predicted whether or not a responder accepted an alert. CONCLUSIONS: Calculating real-world travel routes increases the estimated travel distance and time for those responding to OHCAs. Calculating straight-line distance may overestimate the benefit of the community response to OHCA. Elsevier 2021-11-09 /pmc/articles/PMC8592858/ /pubmed/34816140 http://dx.doi.org/10.1016/j.resplu.2021.100176 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Rapid Response Systems Smith, Christopher M. Lall, Ranjit Spaight, Robert Fothergill, Rachael T. Brown, Terry Perkins, Gavin D. Calculating real-world travel routes instead of straight-line distance in the community response to out-of-hospital cardiac arrest |
title | Calculating real-world travel routes instead of straight-line distance in the community response to out-of-hospital cardiac arrest |
title_full | Calculating real-world travel routes instead of straight-line distance in the community response to out-of-hospital cardiac arrest |
title_fullStr | Calculating real-world travel routes instead of straight-line distance in the community response to out-of-hospital cardiac arrest |
title_full_unstemmed | Calculating real-world travel routes instead of straight-line distance in the community response to out-of-hospital cardiac arrest |
title_short | Calculating real-world travel routes instead of straight-line distance in the community response to out-of-hospital cardiac arrest |
title_sort | calculating real-world travel routes instead of straight-line distance in the community response to out-of-hospital cardiac arrest |
topic | Rapid Response Systems |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8592858/ https://www.ncbi.nlm.nih.gov/pubmed/34816140 http://dx.doi.org/10.1016/j.resplu.2021.100176 |
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