Evidence map›Paper›PMID 19776079›Full record

ArticleJournal of public health (Oxford, England)2010

Inability to access addiction treatment and risk of HIV infection among injection drug users recruited from a supervised injection facility.

M-J S Milloy, Thomas Kerr, Ruth Zhang, Mark Tyndall, Julio Montaner, Evan Wood

Abstract read
In one paragraph

Article in Journal of public health (Oxford, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

6 authors.

M-J S MilloyBritish Columbia Centre for Excellence in HIV/AIDS, St. Paul's Hospital, Vancouver, BC, Canada. uhri-ew@cfenet.ubc.ca
Thomas Kerr
Ruth Zhang
Mark Tyndall
Julio Montaner
Evan Wood

Funding

Seek and Treat for Optimal Outcomes and Prevention in HIV & AIDS in IDUDP1DA026182 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MONTANER, JULIO SERGIO GONZALEZ · 2008 to 2013
$3.9M
CIHR HPR-85526CIHR RAA-79918NIDA NIH HHS DP1 DA026182
6 · The paper itself

Abstract

backgroundTreatment for drug addiction is effective in reducing the harms of injection drug use, including infection with HIV and/or hepatitis C. We sought to examine the prevalence and correlates of being unable to access addiction treatment in a representative sample of injection drug users randomly recruited from a supervised injection facility.

methodsUsing generalized estimating equations, we determined the prevalence and factors associated with being unable to access addiction treatment.

resultsBetween 1 July 2004 and 30 June 2006, 889 individuals completed at least one interview and were included in this analysis. At each interview, approximately 20% of respondents reported trying but being unable to access any type of drug or alcohol treatment in the previous 6 months. Being unable to access treatment was independently associated with recent incarceration, daily use of heroin and borrowing used syringes. In a secondary question, the majority of individuals reported waiting lists were the reason for being unable to access treatment.

conclusionGiven the independent association between inability to access addiction treatment and elevated HIV risk behavior, these results suggest expanding addiction treatment may contribute significantly to HIV prevention efforts in this population.

Indexed as

Health Services AccessibilityAdultCohort StudiesFemaleHIV InfectionsHumansInterviews as TopicMaleProspective StudiesRisk AssessmentSubstance Abuse, IntravenousSubstance Abuse Treatment Centers

Identifiers

PMID19776079
PMCPMC3143434

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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.