Evidence map›Paper›PMID 34729841›Full record

ArticleAddiction (Abingdon, England)2022

Modeling the population-level impact of opioid agonist treatment on mortality among people accessing treatment between 2001 and 2020 in New South Wales, Australia.

Antoine Chaillon, Chrianna Bharat, Jack Stone, Nicola Jones, Louisa Degenhardt, Sarah Larney, Michael Farrell, Peter Vickerman, Matthew Hickman, Natasha K Martin and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Addiction (Abingdon, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 4 countries.

Antoine ChaillonDivision of Infectious Diseases and Global Public Health, University of California, San Diego, CA, USA.
Chrianna BharatNational Drug and Alcohol Research Centre, University of New South Wales, Randwick, NSW, Australia.
Jack StonePopulation Health Sciences, University of Bristol, Bristol, UK.
Nicola JonesNational Drug and Alcohol Research Centre, University of New South Wales, Randwick, NSW, Australia.ORCID 0000-0001-8662-2916
Louisa DegenhardtNational Drug and Alcohol Research Centre, University of New South Wales, Randwick, NSW, Australia.ORCID 0000-0002-8513-2218
Sarah LarneyNational Drug and Alcohol Research Centre, University of New South Wales, Randwick, NSW, Australia.ORCID 0000-0002-5602-4963
Michael FarrellNational Drug and Alcohol Research Centre, University of New South Wales, Randwick, NSW, Australia.ORCID 0000-0001-7008-8130
Peter VickermanPopulation Health Sciences, University of Bristol, Bristol, UK.ORCID 0000-0002-8291-5890
Matthew HickmanPopulation Health Sciences, University of Bristol, Bristol, UK.ORCID 0000-0001-9864-459X
Natasha K MartinDivision of Infectious Diseases and Global Public Health, University of California, San Diego, CA, USA.
Annick BórquezDivision of Infectious Diseases and Global Public Health, University of California, San Diego, CA, USA.ORCID 0000-0002-6033-9837
UNSW Sydney · AUUniversity of Bristol · GBUniversity of California System · US

Funding

VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUSAN JANET LITTLE · 1994 to 2026
$78.4M
Brain Myeloid Cells are Sources of HIV-associated Damage and Viral DispersalR01DA055491 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHAILLON, ANTOINE · 2021 to 2025
$3.6M
Real-time prediction of emerging drug use epidemics in the United StatesDP2DA049295 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BORQUEZ, ANNICK · 2019 to 2019
$2.4M
Optimizing HIV prevention portfolios targeting people who inject drugs using dynamic economic modelingR01AI147490 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARTIN, NATASHA · 2019 to 2022
$2.3M
Using existing data to understand and ameliorate risk in opioid agonist therapyR01DA044170 · NIDA · UNIVERSITY OF NEW SOUTH WALES · PI DEGENHARDT, LOUISA · 2017 to 2019
$641k
Medical Research Council MR/N00616X/1NIAID NIH HHS P30 AI036214NIAID NIH HHS R01 AI147490NIDA NIH HHS DP2 DA049295NIDA NIH HHS R01 DA044170NIDA NIH HHS R01 DA055491
6 · The paper itself

Abstract

BACKGROUND AND

aimsThe individual-level effectiveness of opioid agonist treatment (OAT) in reducing mortality is well established, but there is less evidence on population-level benefits. We use modeling informed with linked data from the OAT program in New South Wales (NSW), Australia, to estimate the impact of OAT provision in the community and prisons on mortality and the impact of eliminating excess mortality during OAT initiation/discontinuation.

designDynamic modeling. SETTING AND

participantsA cohort of 49 359 individuals who ever received OAT in NSW from 2001 to 2018. MEASUREMENTS: Receipt of OAT was represented through five stages: (i) first month on OAT, (ii) short (1-9 months) and (iii) longer (9+ months) duration on OAT, (iv) first month following OAT discontinuation and (v) rest of time following OAT discontinuation. Incarceration was represented as four strata: (i) never or not incarcerated in the past year, (ii) currently incarcerated, (iii) released from prison within the past month and (iv) released from prison 1-12 months ago. The model incorporated elevated mortality post-release from prison and OAT impact on reducing mortality and incarceration.

findingsAmong the cohort, mortality was 0.9 per 100 person-years, OAT coverage and retention remained high (> 50%, 1.74 years/episode). During 2001-20, we estimate that OAT provision reduced overdose and other cause mortality among the cohort by 52.8% [95% credible interval (CrI) = 49.4-56.9%] and 26.6% (95% CrI =22.1-30.5%), respectively. We estimate 1.2 deaths averted and 9.7 life-years gained per 100 person-years on OAT. Prison OAT with post-release OAT-linkage accounted for 12.4% (95% CrI = 11.5-13.5%) of all deaths averted by the OAT program, primarily through preventing deaths in the first month post-release. Preventing elevated mortality during OAT initiation and discontinuation could have averted up to 1.4% (95% CrI =  0.8-2.0%) and 3.0% (95% CrI = 2.1-5.3%) of deaths, respectively.

conclusionThe community and prison opioid agonist treatment program in New South Wales, Australia appears to have substantially reduced population-level overdose and all-cause mortality in the past 20 years, partially due to high retention.

Indexed as

Drug OverdoseOpioid-Related DisordersPrisonersAnalgesics, OpioidAustraliaHumansNew South WalesAnalgesics, OpioidIncarcerationmathematical modelingmortalityopioid agonist treatmentopioid use disordersoverdose

Identifiers

PMID34729841
PMCPMC9299987
OpenAlexW3205583301

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.