| Title |
Understanding the Targeting and Uptake of HIV Testing Among Gay and Bisexual Men Attending Sexual Health Clinics
|
|---|---|
| Published in |
AIDS and Behavior, December 2017
|
| DOI | 10.1007/s10461-017-2012-2 |
| Pubmed ID | |
| Authors |
Muhammad S. Jamil, Hamish McManus, Denton Callander, Garrett Prestage, Hammad Ali, Catherine C. O’Connor, Marcus Chen, Anna M. McNulty, Vickie Knight, Tim Duck, Phillip Keen, James Gray, Nick Medland, Margaret Hellard, David A. Lewis, Andrew E. Grulich, John M. Kaldor, Christopher K. Fairley, Basil Donovan, Rebecca J. Guy, on behalf of ACCESS and NSW Partnership Project Steering Committees |
| Abstract |
We assessed trends in HIV testing outcomes during a period of clinic-based initiatives introduced to increase HIV testing among gay and bisexual men (GBM) attending sexual health clinics (SHCs) in New South Wales (NSW). A cohort of 25,487 HIV-negative GBM attending 32 SHCs in NSW (2009-2015) was classified into six sub-groups each year based on client-type (new/existing), risk-status (low/high-risk), and any recent HIV testing. Poisson regression methods were used to assess HIV testing outcomes in sub-groups of GBM. HIV testing outcomes and the sub-groups with greatest statistically significant annual increases were: individuals attending (26% in high-risk existing clients with recent testing); testing uptake (4% in low-risk existing clients with no recent testing); testing frequency (6% in low-risk existing clients with no recent testing and 5% in high-risk existing clients with recent testing); and total tests (31% in high-risk existing clients with recent testing). High-risk existing clients with recent testing had a 13% annual increase in the proportional contribution to total tests. Our findings show improved targeting of testing to high-risk GBM at NSW SHCs. The clinic-based initiatives should be considered for translation to other similar settings. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 17% |
| Researcher | 4 | 11% |
| Student > Master | 3 | 8% |
| Student > Doctoral Student | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Other | 6 | 17% |
| Unknown | 13 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 22% |
| Nursing and Health Professions | 4 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Agricultural and Biological Sciences | 2 | 6% |
| Unspecified | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 17 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 April 2018.
All research outputs
#15,526,761
of 23,849,058 outputs
Outputs from AIDS and Behavior
#2,392
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Outputs of similar age
#259,340
of 444,753 outputs
Outputs of similar age from AIDS and Behavior
#51
of 69 outputs
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