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Spatial-temporal trends in the risk of illicit drug toxicity death in British Columbia Hu, Kevin; Klinkenberg, Brian, 1954-; Gan, Wen Qi; Slaunwhite, Amanda
Abstract
Background: Illicit drug poisoning (overdose) continues to be an important public health problem with overdose-related deaths currently recorded at an unprecedented level. Understanding the geographic variations in fatal overdose mortality is necessary to avoid disproportionate risk resulting from service access inequity. Methods: We estimated the odds of fatal overdose per event from all cases captured by the overdose surveillance system in British Columbia (2015 - 2018), using both conventional logistic regression and Generalized Additive Models (GAM). The results of GAM were mapped to identify spatial-temporal trends in the risk of fatal overdose. Results: We found that the odds of fatal overdose were about 30% higher in rural areas than in large urban centers, with some regions reporting odds 50% higher than others. Temporal variations in fatal overdose revealed an increasing trend over the entire province. However, the increase occurred earlier and faster in the Interior and Northern regions. Conclusion: Rural areas were disproportionately affected by fatal overdose; lack of access to harm reduction services may partly explain the elevated risk in these areas.
Item Metadata
Title |
Spatial-temporal trends in the risk of illicit drug toxicity death in British Columbia
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Creator | |
Contributor | |
Publisher |
BioMed Central
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Date Issued |
2022-11-18
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Description |
Background:
Illicit drug poisoning (overdose) continues to be an important public health problem with overdose-related deaths currently recorded at an unprecedented level. Understanding the geographic variations in fatal overdose mortality is necessary to avoid disproportionate risk resulting from service access inequity.
Methods:
We estimated the odds of fatal overdose per event from all cases captured by the overdose surveillance system in British Columbia (2015 - 2018), using both conventional logistic regression and Generalized Additive Models (GAM). The results of GAM were mapped to identify spatial-temporal trends in the risk of fatal overdose.
Results:
We found that the odds of fatal overdose were about 30% higher in rural areas than in large urban centers, with some regions reporting odds 50% higher than others. Temporal variations in fatal overdose revealed an increasing trend over the entire province. However, the increase occurred earlier and faster in the Interior and Northern regions.
Conclusion:
Rural areas were disproportionately affected by fatal overdose; lack of access to harm reduction services may partly explain the elevated risk in these areas.
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Subject | |
Geographic Location | |
Genre | |
Type | |
Language |
eng
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Date Available |
2024-11-13
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution 4.0 International (CC BY 4.0)
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DOI |
10.14288/1.0447271
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URI | |
Affiliation | |
Citation |
BMC Public Health. 2022 Nov 18;22(1):2121
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Publisher DOI |
10.1186/s12889-022-14586-8
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Peer Review Status |
Reviewed
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Scholarly Level |
Faculty; Researcher; Graduate
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Copyright Holder |
The Author(s)
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution 4.0 International (CC BY 4.0)