Evidence map›Paper›PMID 18689777›Full record

ArticleAssessment2009

Factor structure of the Condoms Barriers Scale with a sample of men at high risk for HIV.

Suzanne R Doyle, Donald A Calsyn, Samuel A Ball

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Assessment, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 27 citations in OpenAlex.

  1. Predictors of condom use among men enrolled in drug treatment programs.AIDS education and prevention : official publication of the International Society for AIDS Education · 2009
    Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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

3 authors at 3 institutions in 1 country.

Suzanne R DoyleAlcohol and Drug Abuse Institute, University of Washington, Seattle, WA 98105-4631, USA. srdoyle@u.washington.edu
Donald A Calsyn
Samuel A Ball
Seattle Indian Health Board · USUniversity of Washington · USYale University · 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
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 DA13714NIDA NIH HHS U10 DA13727NIDA NIH HHS U10 DA13732NIDA NIH HHS U10 DA15815NIDA NIH HHS U10 DA15833
6 · The paper itself

Abstract

This study assesses the psychometric properties of the Condom Barriers Scale (CBS), an instrument originally designed to measure women's perceptions and attitudes regarding male condom use, with a sample of men at high risk for human immunodeficiency virus (HIV). Participants include 590 male patients in drug abuse treatment involved in a gender-specific HIV prevention intervention for teaching safer sex skills. Second-order confirmatory factor analysis generally supported the underlying four-factor subscale structure of the CBS. However, exploratory factor analysis revealed a few specific discrepancies in the factor structure between men and women. Internal consistency and test-retest reliability estimates were moderate to high in value. CBS scores correlated with use of condoms for men with high-risk sexual partners, supporting criterion-related validity. Overall, the analysis indicates that the CBS is a potentially valid and reliable instrument and has utility for assessing barriers to condom use with men, but may need some item content modifications to allow appropriate assessment of gender differences and comparisons across studies.

Indexed as

Factor Analysis, StatisticalHealth BehaviorRisk-TakingAdolescentAdultAgedBlack or African AmericanCondomsHIV InfectionsHumansIllicit DrugsMaleMiddle AgedModels, TheoreticalPilot ProjectsPsychometricsIllicit Drugs

Identifiers

PMID18689777
PMCPMC2791458
OpenAlexW2013597950

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.