Evidence map›Paper›PMID 28962604›Full record

ArticleBMC public health2017

Estimating the number of people who inject drugs in Australia.

Sarah Larney, Matthew Hickman, Rebecca Guy, Jason Grebely, Gregory J Dore, Richard T Gray, Carolyn A Day, Jo Kimber, Louisa Degenhardt

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 56 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

9 authors at 3 institutions in 2 countries.

Sarah LarneyNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, Australia. s.larney@unsw.edu.au.
Matthew HickmanBristol Medical School, University of Bristol, Bristol, UK.
Rebecca GuyKirby Institute, UNSW Sydney, Sydney, Australia.
Jason GrebelyKirby Institute, UNSW Sydney, Sydney, Australia.
Gregory J DoreKirby Institute, UNSW Sydney, Sydney, Australia.
Richard T GrayKirby Institute, UNSW Sydney, Sydney, Australia.
Carolyn A DaySydney Medical School, University of Sydney, Sydney, Australia.
Jo KimberNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, Australia.
Louisa DegenhardtNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, Australia.
UNSW Sydney · AUUniversity of Bristol · GBUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInjecting drug use is associated with considerable morbidity and mortality. Estimates of the size of the population of people who inject drugs are critical to inform service planning and estimate disease burden due to injecting drug use. We aimed to estimate the size of the population of people who inject drugs in Australia.

methodsWe applied a multiplier method which used benchmark data (number of people in opioid substitution therapy (OST) on a snapshot day in 2014) and multiplied it by a factor derived from the prevalence of current OST among people who inject drugs participating in the Australian Needle and Syringe Program Survey in 2014. Estimates of the total population of people who inject drugs were calculated in each state and territory and summed to produce a national estimate. We used the sex and age group distribution seen in datasets relating to people who inject drugs to derive sex- and age-stratified estimates, and calculated prevalence per 1000 population.

resultsBetween 68,000 and 118,000 people aged 15-64 years inject drugs in Australia. The population prevalence of injecting drug use was 6.0 (lower and upper uncertainty intervals of 4.3 and 7.6) per 1000 people aged 15-64 years. Injecting drug use was more common among men than women, and most common among those aged 35-44 years. Comparison of expected drug-related deaths based on these estimates to actual deaths suggest that these figures may be underestimates.

conclusionsThese are the first indirect prevalence estimates of injecting drug use in Australia in over a decade. This work has identified that there are limited data available to inform estimates of this population. These estimates can be used as a basis for further work estimating injecting drug use in Australia.

Indexed as

AdolescentAdultAustraliaDrug UsersFemaleHumansMaleMiddle AgedNeedle-Exchange ProgramsPrevalenceSubstance Abuse, IntravenousSurveys and QuestionnairesYoung AdultEpidemiologyIndirect prevalence estimationMultiplier methodsPeople who inject drugsPopulation size

Identifiers

PMID28962604
PMCPMC5622458
OpenAlexW2758384551

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.