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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Department of Emergency Medicine, University of California, Irvine School of Medicine
2018
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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. |
format | Online Article Text |
id | pubmed-6040905 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Department of Emergency Medicine, University of California, Irvine School of Medicine |
record_format | MEDLINE/PubMed |
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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