Identifying the changing age distribution of opioid-related mortality with high-frequency data.

ABSTRACT:

Background

Opioid-related mortality continues to rise across North America, and mortality rates have been further exacerbated by the COVID-19 pandemic. This study sought to provide an updated picture of trends of opioid-related mortality for Ontario, Canada between January 2003 and December 2020, in relation to age and sex.

Methods

Using mortality data from the Office of the Chief Coroner for Ontario, we applied Bayesian Poisson regression to model age/sex mortality per 100,000 person-years, including random walks to flexibly capture age and time effects. Models were also used to explore how trends might continue into 2022, considering both pre- and post-COVID-19 courses.

Results

From 2003 to 2020, there were 11,633 opioid-related deaths in Ontario. A shift in the age

SUBMITTER: Paul LA 

PROVIDER: S-EPMC9020746 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature