The optimization of harm reduction services in Massachusetts through the use of GIS: Location-allocation analyses,

Joshua R Parbs1, Sumeeta Srinivasan1, Jennifer Pustz1

  • 1Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, United States.

Preventive Medicine
|July 31, 2024
PubMed
Abstract

Insights

Opioid overdose education and naloxone distribution (OEND) programs are crucial for preventing deaths. Spatial analysis identified key Massachusetts areas needing more OEND services to improve equitable access and reduce overdoses.

Area of Science:

  • Public Health
  • Epidemiology
  • Geographic Information Systems (GIS)

Background:

  • Fatal opioid-related overdoses (OOD) remain a significant public health crisis in the US.
  • Opioid Overdose Education and Naloxone Distribution (OEND) programs are vital for reducing OOD morbidity and mortality.
  • Equitable access to OEND services is a persistent challenge.

Purpose of the Study:

  • To utilize GIS and spatial analysis to identify priority areas for OEND service placement in Massachusetts.
  • To inform public health strategies for equitable distribution of OEND resources.

Main Methods:

  • Employed location-allocation approaches and p-median models in ArcGIS Pro.
  • Analyzed fatal OOD data (Jan 2019-Dec 2021) and existing OEND site locations.
  • Incorporated variables such as transportation, proximity to schools, demographics, and site feasibility.

Main Results:

  • Identified Athol, Dorchester, and Fitchburg as priority locations for new OEND sites.
  • Priority communities showed similar overdose rates but lower naloxone distribution compared to existing sites.
  • Spatial models revealed disparities in OEND access influenced by location and transportation.

Conclusions:

  • Spatial epidemiological methods effectively pinpointed areas with the greatest need for OEND services in Massachusetts.
  • The study highlights the utility of data-driven approaches for optimizing public health interventions and resource allocation.

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