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...
Main Authors: | , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Cambridge University Press
2021-03-01
|
Series: | Journal of Clinical and Translational Science |
Online Access: | https://www.cambridge.org/core/product/identifier/S2059866121006191/type/journal_article |
_version_ | 1811155294407884800 |
---|---|
author | Elizabeth A. Samuels William Goedel Lauren Conkey Jennifer Koziol Sarah Karim Rachel P. Scagos Lee Ann Jordison Keeler Rachel Yorlets Neha Reddy Sara Becker Roland Merchant Brandon D. L. Marshall |
author_facet | Elizabeth A. Samuels William Goedel Lauren Conkey Jennifer Koziol Sarah Karim Rachel P. Scagos Lee Ann Jordison Keeler Rachel Yorlets Neha Reddy Sara Becker Roland Merchant Brandon D. L. Marshall |
author_sort | Elizabeth A. Samuels |
collection | DOAJ |
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. |
first_indexed | 2024-04-10T04:31:56Z |
format | Article |
id | doaj.art-913bd2be697f4dc9834b317f2e16150e |
institution | Directory Open Access Journal |
issn | 2059-8661 |
language | English |
last_indexed | 2024-04-10T04:31:56Z |
publishDate | 2021-03-01 |
publisher | Cambridge University Press |
record_format | Article |
series | Journal of Clinical and Translational Science |
spelling | doaj.art-913bd2be697f4dc9834b317f2e16150e2023-03-10T07:52:03ZengCambridge University PressJournal of Clinical and Translational Science2059-86612021-03-015848510.1017/cts.2021.61941538 Characterizing Opioid Overdose Hotspots for Targeted Overdose Prevention and TreatmentElizabeth A. Samuels0William Goedel1Lauren Conkey2Jennifer Koziol3Sarah Karim4Rachel P. Scagos5Lee Ann Jordison Keeler6Rachel Yorlets7Neha Reddy8Sara Becker9Roland Merchant10Brandon D. L. Marshall11Brown Emergency MedicineBrown University School of Public HealthRhode Island Department of HealthRhode Island Department of HealthRhode Island Department of HealthRhode Island Department of HealthBrown Emergency MedicineBrown University School of Public HealthWarren Alpert Medical School of Brown UniversityBrown University School of Public HealthBrigham and Women’s HospitalBrown University School of Public HealthABSTRACT 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.https://www.cambridge.org/core/product/identifier/S2059866121006191/type/journal_article |
spellingShingle | Elizabeth A. Samuels William Goedel Lauren Conkey Jennifer Koziol Sarah Karim Rachel P. Scagos Lee Ann Jordison Keeler Rachel Yorlets Neha Reddy Sara Becker Roland Merchant Brandon D. L. Marshall 41538 Characterizing Opioid Overdose Hotspots for Targeted Overdose Prevention and Treatment Journal of Clinical and Translational Science |
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 |
url | https://www.cambridge.org/core/product/identifier/S2059866121006191/type/journal_article |
work_keys_str_mv | AT elizabethasamuels 41538characterizingopioidoverdosehotspotsfortargetedoverdosepreventionandtreatment AT williamgoedel 41538characterizingopioidoverdosehotspotsfortargetedoverdosepreventionandtreatment AT laurenconkey 41538characterizingopioidoverdosehotspotsfortargetedoverdosepreventionandtreatment AT jenniferkoziol 41538characterizingopioidoverdosehotspotsfortargetedoverdosepreventionandtreatment AT sarahkarim 41538characterizingopioidoverdosehotspotsfortargetedoverdosepreventionandtreatment AT rachelpscagos 41538characterizingopioidoverdosehotspotsfortargetedoverdosepreventionandtreatment AT leeannjordisonkeeler 41538characterizingopioidoverdosehotspotsfortargetedoverdosepreventionandtreatment AT rachelyorlets 41538characterizingopioidoverdosehotspotsfortargetedoverdosepreventionandtreatment AT nehareddy 41538characterizingopioidoverdosehotspotsfortargetedoverdosepreventionandtreatment AT sarabecker 41538characterizingopioidoverdosehotspotsfortargetedoverdosepreventionandtreatment AT rolandmerchant 41538characterizingopioidoverdosehotspotsfortargetedoverdosepreventionandtreatment AT brandondlmarshall 41538characterizingopioidoverdosehotspotsfortargetedoverdosepreventionandtreatment |