HIV testing and the role of individual- and structural-level barriers and facilitators.
This study determined the overall prevalence of HIV testing within a community sample of heterosexual men and women at high risk for HIV infection, and analysed the gender-specific individual- and structural-level barriers and facilitators to testing. Data were collected through 1,643 personal inter...
| Published in: | AIDS Care Vol. 17; no. 2; pp. 125 - 141 |
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| Main Authors: | , , |
| Format: | research tables/charts Journal Article |
| Published: |
Taylor & Francis Ltd
Feb2005
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106508544&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106508544 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09540121 AAE jtl: AIDS Care issn: 09540121 maglogo: N pubinfo: dt: Feb2005 vid: 17 iid: 2 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 106508544 2009011861 10.1080/09541020512331325653 NLM15763709 106508544 ppf: 125 ppct: 16 formats: fmt: @attributes: type: P tig: atl: HIV testing and the role of individual- and structural-level barriers and facilitators. aug: au: Bond L Lauby J Batson H affil: Philadelphia Health Management Corporation, 260 S Broad St, Suite 1800, Philadelphia, PA 19102-5085; lisab@phmc.org sug: subj: AIDS Serodiagnosis Utilization Heterosexuals Risk Taking Behavior Sex Factors Male Female Community Living Interviews Descriptive Statistics Statistical Significance Pennsylvania Adult Middle Age Black Persons White Persons Hispanic Americans Chi Square Test Odds Ratio Bivariate Statistics Logistic Regression Multivariate Analysis Data Analysis Software Aged Educational Status Evaluation Funding Source Human Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Male Female ab: This study determined the overall prevalence of HIV testing within a community sample of heterosexual men and women at high risk for HIV infection, and analysed the gender-specific individual- and structural-level barriers and facilitators to testing. Data were collected through 1,643 personal interviews conducted in Philadelphia between 1999 and 2000. Overall, 79.4% of participants had ever taken an HIV test; women were significantly more likely to have tested than were men. Among the individual-level factors we examined, very few, including sexual and drug-using risk behaviours, were significantly associated with an increased likelihood of ever being tested for HIV. Structural-level factors were important correlates of HIV testing for both women and men. Results of this study indicate that there are gender-based similarities and differences in the correlates of testing, and that efforts to increase HIV testing must consider how structural factors, including access to health care, may deter or facilitate opportunities for HIV testing. In particular, efforts to improve the uptake of HIV testing by heterosexual men at high risk should focus on improving men's access to, and utilization of, routine health care. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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