Original research
par
Tse, Wai Chung et al
Date de publication
2022
Géographie
Australia
Langue de la ressource
English
Texte disponible en version intégrale
Non
Open Access / OK to Reproduce
Non
Évalué par des pairs
Yes
L’objectif
We aimed to model whether unsupervised iOAT may be effective in reducing fatal and non–fatal overdose, and estimate the cost per life saved.
Constatations/points à retenir
An implementation scenario with greater unsupervised iOAT compared to supervised iOAT allows for an increased reduction in overdose and overdose deaths per annum at the same cost, with the additional benefit of increased treatment coverage among PWIO.
La conception ou méthodologie de recherche
Decision tree model based on Australian and international parameters for overdose risk in people who inject opioids who are: not on OAT; new/stable to methadone/buprenorphine treatment; on iOAT; or on unsupervised iOAT.
Mots clés
Overdose
Evidence base
Policy/Regulatory
