Temporal and geographic shifts in urban and nonurban cocaine-related fatal overdoses in British Columbia, Canada

Ann Epidemiol. 2012 Mar;22(3):198-206. doi: 10.1016/j.annepidem.2011.12.004. Epub 2012 Jan 23.

Abstract

Purpose: Illicit drug overdose is a leading cause of premature mortality. We sought to examine fatal overdose trends from 2001 to 2005 in urban and nonurban areas of British Columbia, Canada.

Methods: We conducted a review of all provincial coroner files in which drug overdose was the cause of death between January 1, 2001, and December 31, 2005. We compared cocaine and non-cocaine-related overdoses and examined temporal changes in cocaine-related mortality rates in urban and nonurban areas. Multilevel mixed effects models were used to determine the independent risk factors for cocaine-related death. Spatial analyses were conducted to identify clusters of these cases.

Results: During the study period, 904 illicit drug overdoses were recorded, including 369 (40.8%) in nonurban areas and 532 (58.9%) related to cocaine consumption. In a multilevel model, we observed a significant interaction (p = .010) between population density and year, indicating a considerable and differential increase in the likelihood of cocaine-related deaths in nonurban areas. Cocaine-related deaths were clustered in the southeast region of the province.

Conclusions: Cocaine-related overdoses in nonurban areas should be a public health concern. Evidence-based interventions to reduce the risks associated with cocaine consumption and reach drug users in nonurban settings are needed.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • British Columbia / epidemiology
  • British Columbia / ethnology
  • Cause of Death / trends
  • Cocaine-Related Disorders / ethnology
  • Cocaine-Related Disorders / mortality*
  • Drug Overdose / mortality*
  • Female
  • Humans
  • Indians, North American / statistics & numerical data
  • Male
  • Middle Aged
  • Registries
  • Rural Health / trends
  • Space-Time Clustering
  • Suburban Health / trends
  • Urban Health / trends