Unknown

Dataset Information

Modelling the intervention effect of opioid agonist treatment on multiple mortality outcomes in people who inject drugs: a three-setting analysis.


ABSTRACT:

Background

Opioid agonist treatment (OAT) reduces many of the harms associated with opioid dependence. We use mathematical modelling to comprehensively evaluate the overall health benefits of OAT in people who inject drugs in Perry County (KY, USA), Kyiv (Ukraine), and Tehran (Iran).

Methods

We developed a dynamic model of HIV and hepatitis C virus (HCV) transmission, incarceration, and mortality through overdose, injury, suicide, disease-related and other causes. The model was calibrated to site-specific data using Bayesian methods. We evaluated preventable drug-related deaths (deaths due to HIV, HCV, overdose, suicide, or injury) averted over 2020-40 for four scenarios, added incrementally, compared with a scenario without OAT: existing OAT coverage (setting-dependent; com

SUBMITTER: Stone J 

PROVIDER: S-EPMC8255389 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature