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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)