Evidence map›Paper›PMID 19842829›Full record

Trial reportAIDS education and prevention : official publication of the International Society for AIDS Education2009

Predictors of condom use among men enrolled in drug treatment programs.

Yong S Song, Donald A Calsyn, Suzanne R Doyle, Rhodri Dierst-Davies, Techieh Chen, James L Sorensen

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in AIDS education and prevention : official publication of the International Society for AIDS Education, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 19 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

6 authors at 1 institution in 1 country.

Yong S SongDepartment of Psychiatry, University of California at San Francisco at San Francisco General Hospital, USA. yong.song@ucsf.edu
Donald A Calsyn
Suzanne R Doyle
Rhodri Dierst-Davies
Techieh Chen
James L Sorensen
San Francisco General Hospital · US

Funding

The National Drug Abuse Treatment Clinical Trials NetworkU10DA013045 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LING, WALTER NMN · 1999 to 2015
$52.6M
CU PARTNERS: NY/LONG ISLAND REGIONAL NODEU10DA013035 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI NUNES, EDWARD V., ROTROSEN, JOHN P · 2001 to 2015
$47.6M
Clinical Trials Network, Ohio Valley Node U10DA013732U10DA013732 · NIDA · UNIVERSITY OF CINCINNATI · PI WINHUSEN, T JOHN · 2000 to 2015
$45.0M
Southern Consortium Node of the Clinical Trials NetworkU10DA013727 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2000 to 2015
$34.4M
Delaware Valley Node of the Clinical Trials NetworkU10DA013043 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI WOODY, GEORGE EDWARD · 1999 to 2015
$25.8M
CLINICAL TRIALS NETWORK: PACIFIC NORTHWEST NODEU10DA013714 · NIDA · UNIVERSITY OF WASHINGTON · PI DONOVAN, DENNIS MICHAEL, ROLL, JOHN M. · 2001 to 2015
$25.5M
Western States Node of the National Drug Abuse Treatment Clinical Trials NetworkU10DA015815 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MCCARTY, DENNIS, SORENSEN, JAMES L · 2002 to 2015
$25.2M
Western States Node of the National Drug Abuse Treatment Clinical Trials Network (TMS for CUD) UG1DA015815 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Keith N. Humphreys, Philip Todd Korthuis · 2015 to 2026
$24.6M
Clinical Trials Network: Southwest NodeU10DA015833 · NIDA · UNIVERSITY OF NEW MEXICO · PI MCCRADY, BARBARA S · 2002 to 2014
$19.9M
CLINICAL TRIALS NETWORK: NEW ENGLAND NODEU10DA013038 · NIDA · YALE UNIVERSITY · PI CARROLL, KATHLEEN M. · 1999 to 2010
$17.3M
NATIONAL DRUG ABUSE TREATMENT CLINICAL TRIALS NETWORKU10DA013711 · NIDA · DUKE UNIVERSITY · PI HUBBARD, ROBERT L. · 2001 to 2008
$14.7M
NIDA NIH HHS U10 DA013035NIDA NIH HHS U10 DA013038NIDA NIH HHS U10 DA013043NIDA NIH HHS U10 DA013045NIDA NIH HHS U10 DA013711NIDA NIH HHS U10 DA013714NIDA NIH HHS U10 DA013727NIDA NIH HHS U10 DA013732NIDA NIH HHS U10 DA015815NIDA NIH HHS U10 DA015833NIDA NIH HHS U10 DA13035NIDA NIH HHS U10 DA13038NIDA NIH HHS U10 DA13043NIDA NIH HHS U10 DA13045NIDA NIH HHS U10 DA13711NIDA NIH HHS U10 DA 13714NIDA NIH HHS U10 DA13727NIDA NIH HHS U10 DA13732NIDA NIH HHS U10 DA 15815NIDA NIH HHS U10 DA15833NIDA NIH HHS UG1 DA015815
6 · The paper itself

Abstract

This study identified predictors of condom use and developed a model of condom use in a sample of men (n = 324) enrolled in drug treatment. Utilizing a series of logistic regression analyses reported condom use was predicted by possession of condoms, future intention to use condoms, future intention to increase condom use, having a high-risk partner, low Condom Barriers Scale scores, being unmarried and ethnic minority status. A probit path analysis revealed the following model of condom use among men in drug treatment: Taking condoms from clinic stocks was the best predictor of condom possession, which in turn was the best predictor of condom use. These study findings identify condom availability in treatment programs as an important risk reduction intervention. Treatment programs can apply these predictors of condom use to better identify individuals at risk for HIV and sexually transmitted infections to better target prevention interventions.

Indexed as

CondomsCultural CharacteristicsDrug UsersHealth Knowledge, Attitudes, PracticeHIV InfectionsHumansLogistic ModelsMaleModels, PsychologicalMultivariate AnalysisRisk FactorsSexual BehaviorSexually Transmitted DiseasesSexual PartnersSocioeconomic FactorsSubstance Abuse, Intravenous

Identifiers

PMID19842829
PMCPMC3689147
OpenAlexW2165994807

What OpenQuestion holds

Textmetadata
LicenceTDM
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.