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41538 Characterizing Opioid Overdose Hotspots for Targeted Overdose Prevention and Treatment

ABSTRACT IMPACT: Identifying factors associated with opioid overdoses will enable better resource allocation in communities most impacted by the overdose epidemic. OBJECTIVES/GOALS: Opioid overdoses often occur in hotspots identified by geographic and temporal trends. This study uses principles of c...

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Autores principales: Samuels, Elizabeth A., Goedel, William, Conkey, Lauren, Koziol, Jennifer, Karim, Sarah, Scagos, Rachel P., Keeler, Lee Ann Jordison, Yorlets, Rachel, Reddy, Neha, Becker, Sara, Merchant, Roland, Marshall, Brandon D. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828018/
http://dx.doi.org/10.1017/cts.2021.619
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author Samuels, Elizabeth A.
Goedel, William
Conkey, Lauren
Koziol, Jennifer
Karim, Sarah
Scagos, Rachel P.
Keeler, Lee Ann Jordison
Yorlets, Rachel
Reddy, Neha
Becker, Sara
Merchant, Roland
Marshall, Brandon D. L.
author_facet Samuels, Elizabeth A.
Goedel, William
Conkey, Lauren
Koziol, Jennifer
Karim, Sarah
Scagos, Rachel P.
Keeler, Lee Ann Jordison
Yorlets, Rachel
Reddy, Neha
Becker, Sara
Merchant, Roland
Marshall, Brandon D. L.
author_sort Samuels, Elizabeth A.
collection PubMed
description ABSTRACT IMPACT: Identifying factors associated with opioid overdoses will enable better resource allocation in communities most impacted by the overdose epidemic. OBJECTIVES/GOALS: Opioid overdoses often occur in hotspots identified by geographic and temporal trends. This study uses principles of community engaged research to identify neighborhood and community-level factors associated with opioid overdose within overdose hotspots which can be targets for novel intervention design. METHODS/STUDY POPULATION: We conducted an environmental scan in three overdose hotspots’‘ two in an urban center and one in a small city’‘ identified by the Rhode Island Department of Health as having the highest opioid overdose burden in Rhode Island. We engaged hotspot community stakeholders to identify neighborhood factors to map within each hotspot. Locations of addiction treatment, public transportation, harm reduction programs, public facilities (i.e., libraries, parks), first responders, and social services agencies were converted to latitude and longitude and mapped in ArcGIS. Using Esri Service Areas, we will evaluate the service areas of stationary services. We will overlay overdose events and use logistic regression identify neighborhood factors associated with overdose by comparing hotspot and non-hotspot neighborhoods. RESULTS/ANTICIPATED RESULTS: We anticipate that there will be differing neighborhood characteristics associated with overdose events in the densely populated urban area and those in the smaller city. The urban area hotspots will have overlapping social services, addiction treatment, and transportation service areas, while the small city will have fewer community resources without overlapping service areas and reduced public transportation access. We anticipate that overdoses will occur during times of the day when services are not available. Overall, overdose hotspots will be associated with increased census block level unemployment, homelessness, vacant housing, and low food security. DISCUSSION/SIGNIFICANCE OF FINDINGS: Identifying factors associated with opioid overdoses will enable better resource allocation in communities most impacted by the overdose epidemic. Study results will be used for novel intervention design to prevent opioid overdose deaths in communities with high burden of opioid overdose.
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spelling pubmed-88280182022-02-28 41538 Characterizing Opioid Overdose Hotspots for Targeted Overdose Prevention and Treatment Samuels, Elizabeth A. Goedel, William Conkey, Lauren Koziol, Jennifer Karim, Sarah Scagos, Rachel P. Keeler, Lee Ann Jordison Yorlets, Rachel Reddy, Neha Becker, Sara Merchant, Roland Marshall, Brandon D. L. J Clin Transl Sci Health Equity & Community Engagement ABSTRACT IMPACT: Identifying factors associated with opioid overdoses will enable better resource allocation in communities most impacted by the overdose epidemic. OBJECTIVES/GOALS: Opioid overdoses often occur in hotspots identified by geographic and temporal trends. This study uses principles of community engaged research to identify neighborhood and community-level factors associated with opioid overdose within overdose hotspots which can be targets for novel intervention design. METHODS/STUDY POPULATION: We conducted an environmental scan in three overdose hotspots’‘ two in an urban center and one in a small city’‘ identified by the Rhode Island Department of Health as having the highest opioid overdose burden in Rhode Island. We engaged hotspot community stakeholders to identify neighborhood factors to map within each hotspot. Locations of addiction treatment, public transportation, harm reduction programs, public facilities (i.e., libraries, parks), first responders, and social services agencies were converted to latitude and longitude and mapped in ArcGIS. Using Esri Service Areas, we will evaluate the service areas of stationary services. We will overlay overdose events and use logistic regression identify neighborhood factors associated with overdose by comparing hotspot and non-hotspot neighborhoods. RESULTS/ANTICIPATED RESULTS: We anticipate that there will be differing neighborhood characteristics associated with overdose events in the densely populated urban area and those in the smaller city. The urban area hotspots will have overlapping social services, addiction treatment, and transportation service areas, while the small city will have fewer community resources without overlapping service areas and reduced public transportation access. We anticipate that overdoses will occur during times of the day when services are not available. Overall, overdose hotspots will be associated with increased census block level unemployment, homelessness, vacant housing, and low food security. DISCUSSION/SIGNIFICANCE OF FINDINGS: Identifying factors associated with opioid overdoses will enable better resource allocation in communities most impacted by the overdose epidemic. Study results will be used for novel intervention design to prevent opioid overdose deaths in communities with high burden of opioid overdose. Cambridge University Press 2021-03-31 /pmc/articles/PMC8828018/ http://dx.doi.org/10.1017/cts.2021.619 Text en © The Association for Clinical and Translational Science 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Health Equity & Community Engagement
Samuels, Elizabeth A.
Goedel, William
Conkey, Lauren
Koziol, Jennifer
Karim, Sarah
Scagos, Rachel P.
Keeler, Lee Ann Jordison
Yorlets, Rachel
Reddy, Neha
Becker, Sara
Merchant, Roland
Marshall, Brandon D. L.
41538 Characterizing Opioid Overdose Hotspots for Targeted Overdose Prevention and Treatment
title 41538 Characterizing Opioid Overdose Hotspots for Targeted Overdose Prevention and Treatment
title_full 41538 Characterizing Opioid Overdose Hotspots for Targeted Overdose Prevention and Treatment
title_fullStr 41538 Characterizing Opioid Overdose Hotspots for Targeted Overdose Prevention and Treatment
title_full_unstemmed 41538 Characterizing Opioid Overdose Hotspots for Targeted Overdose Prevention and Treatment
title_short 41538 Characterizing Opioid Overdose Hotspots for Targeted Overdose Prevention and Treatment
title_sort 41538 characterizing opioid overdose hotspots for targeted overdose prevention and treatment
topic Health Equity & Community Engagement
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828018/
http://dx.doi.org/10.1017/cts.2021.619
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