Characterizing opioid overdose hotspots for place-based overdose prevention and treatment interventions: A geo-spatial analysis of Rhode Island, USA

Objective: Examine differences in neighborhood characteristics and services between overdose hotspot and nonhotspot neighborhoods and identify neighborhood -level population factors associated with increased overdose incidence. Methods: We conducted a population -based retrospective analysis of Rhode Island, USA residents who had a fatal or non -fatal overdose from 2016 to 2020 using an environmental scan and data from Rhode Island emergency medical services, State Unintentional Drug Overdose Reporting System, and the American Community Survey. We conducted a spatial scan via SaTScan to identify non -fatal and fatal overdose hotspots and compared the characteristics of hotspot and non-hotspot neighborhoods. We identified associations between census block group -level characteristics using a Besag-York-Mollie ' model specification with a conditional autoregressive spatial random effect. Results: We identified 7 non -fatal and 3 fatal overdose hotspots in Rhode Island during the study period. Hotspot neighborhoods had higher proportions of Black and Latino/a residents, renter -occupied housing, vacant housing, unemployment, and cost -burdened households. A higher proportion of hotspot neighborhoods had a religious organization, a health center, or a police station. Non -fatal overdose risk increased in a dose responsive manner with increasing proportions of residents living in poverty. There was increased relative risk of non -fatal and fatal overdoses in neighborhoods with crowded housing above the mean (RR 1.19 [95 % CI 1.05, 1.34]; RR 1.21 [95 % CI 1.18, 1.38], respectively). Conclusion: Neighborhoods with increased prevalence of housing instability and poverty are at highest risk of overdose. The high availability of social services in overdose hotspots presents an opportunity to work with established organizations to prevent overdose deaths.