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Geospatial Clustering of Opioid-Related Emergency Medical Services Runs for Public Deployment of Naloxone

INTRODUCTION: The epidemic of opioid use disorder and opioid overdose carries extensive morbidity and mortality and necessitates a multi-pronged, community-level response. Bystander administration of the opioid overdose antidote naloxone is effective, but it is not universally available and requires...

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Autores principales: Dworkis, Daniel A., Weiner, Scott G., Liao, Vincent T., Rabickow, Danielle, Goldberg, Scott A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Department of Emergency Medicine, University of California, Irvine School of Medicine 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6040905/
https://www.ncbi.nlm.nih.gov/pubmed/30013698
http://dx.doi.org/10.5811/westjem.2018.4.37054
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author Dworkis, Daniel A.
Weiner, Scott G.
Liao, Vincent T.
Rabickow, Danielle
Goldberg, Scott A.
author_facet Dworkis, Daniel A.
Weiner, Scott G.
Liao, Vincent T.
Rabickow, Danielle
Goldberg, Scott A.
author_sort Dworkis, Daniel A.
collection PubMed
description INTRODUCTION: The epidemic of opioid use disorder and opioid overdose carries extensive morbidity and mortality and necessitates a multi-pronged, community-level response. Bystander administration of the opioid overdose antidote naloxone is effective, but it is not universally available and requires consistent effort on the part of citizens to proactively carry naloxone. An alternate approach would be to position naloxone kits where they are most needed in a community, in a manner analogous to automated external defibrillators. We hypothesized that opioid overdoses would show geospatial clustering within a community, leading to potential target sites for such publicly deployed naloxone (PDN). METHODS: We performed a retrospective chart review of 700 emergency medical service (EMS) runs that involved opioid overdose or naloxone administration in Cambridge, Massachusetts, between October 16, 2016 and May 10, 2017. We used geospatial analysis to examine for clustering in general, and to identify specific clusters amenable to PDN sites. RESULTS: Opioid-related emergency medical services (EMS) runs in Cambridge, Massachusetts (MA), exhibit significant geospatial clustering, and we identified three clusters of opioid-related EMS runs in Cambridge, MA, with distinct characteristics. Models of PDN sites at these clusters show that approximately 40% of all opioid-related EMS runs in Cambridge, MA, would be accessible within 200 meters of PDN sites placed at cluster centroids. CONCLUSION: Identifying clusters of opioid-related EMS runs within a community may help to improve community coverage of naloxone, and strongly suggests that PDN could be a useful adjunct to bystander-administered naloxone in stemming the tide of opioid-related death.
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spelling pubmed-60409052018-07-16 Geospatial Clustering of Opioid-Related Emergency Medical Services Runs for Public Deployment of Naloxone Dworkis, Daniel A. Weiner, Scott G. Liao, Vincent T. Rabickow, Danielle Goldberg, Scott A. West J Emerg Med Public Health INTRODUCTION: The epidemic of opioid use disorder and opioid overdose carries extensive morbidity and mortality and necessitates a multi-pronged, community-level response. Bystander administration of the opioid overdose antidote naloxone is effective, but it is not universally available and requires consistent effort on the part of citizens to proactively carry naloxone. An alternate approach would be to position naloxone kits where they are most needed in a community, in a manner analogous to automated external defibrillators. We hypothesized that opioid overdoses would show geospatial clustering within a community, leading to potential target sites for such publicly deployed naloxone (PDN). METHODS: We performed a retrospective chart review of 700 emergency medical service (EMS) runs that involved opioid overdose or naloxone administration in Cambridge, Massachusetts, between October 16, 2016 and May 10, 2017. We used geospatial analysis to examine for clustering in general, and to identify specific clusters amenable to PDN sites. RESULTS: Opioid-related emergency medical services (EMS) runs in Cambridge, Massachusetts (MA), exhibit significant geospatial clustering, and we identified three clusters of opioid-related EMS runs in Cambridge, MA, with distinct characteristics. Models of PDN sites at these clusters show that approximately 40% of all opioid-related EMS runs in Cambridge, MA, would be accessible within 200 meters of PDN sites placed at cluster centroids. CONCLUSION: Identifying clusters of opioid-related EMS runs within a community may help to improve community coverage of naloxone, and strongly suggests that PDN could be a useful adjunct to bystander-administered naloxone in stemming the tide of opioid-related death. Department of Emergency Medicine, University of California, Irvine School of Medicine 2018-07 2018-05-15 /pmc/articles/PMC6040905/ /pubmed/30013698 http://dx.doi.org/10.5811/westjem.2018.4.37054 Text en Copyright: © 2018 Dworkis et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) License. See: http://creativecommons.org/licenses/by/4.0/
spellingShingle Public Health
Dworkis, Daniel A.
Weiner, Scott G.
Liao, Vincent T.
Rabickow, Danielle
Goldberg, Scott A.
Geospatial Clustering of Opioid-Related Emergency Medical Services Runs for Public Deployment of Naloxone
title Geospatial Clustering of Opioid-Related Emergency Medical Services Runs for Public Deployment of Naloxone
title_full Geospatial Clustering of Opioid-Related Emergency Medical Services Runs for Public Deployment of Naloxone
title_fullStr Geospatial Clustering of Opioid-Related Emergency Medical Services Runs for Public Deployment of Naloxone
title_full_unstemmed Geospatial Clustering of Opioid-Related Emergency Medical Services Runs for Public Deployment of Naloxone
title_short Geospatial Clustering of Opioid-Related Emergency Medical Services Runs for Public Deployment of Naloxone
title_sort geospatial clustering of opioid-related emergency medical services runs for public deployment of naloxone
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6040905/
https://www.ncbi.nlm.nih.gov/pubmed/30013698
http://dx.doi.org/10.5811/westjem.2018.4.37054
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