Literature DB >> 25163573

A novel time-limited pop-up HIV testing service for gay men in Sydney, Australia, attracts high-risk men.

Vickie Knight1, Marianne Gale2, Rebecca Guy3, Nicolas Parkhill4, Jo Holden2, Craig Leeman5, Anna McNulty1, Phillip Keen3, Handan Wand3.   

Abstract

UNLABELLED: Background HIV diagnoses have been increasing steadily in Australia and are concentrated among gay, bisexual and other men who have sex with men (GBM). HIV testing is a key control strategy, and in 2013, a novel time-limited pop-up community HIV testing service (Pop-up) was introduced to raise awareness and increase testing options for GBM. The Pop-up service offered rapid HIV tests only. We compared uptake and outcomes of the Pop-up service to an established clinical model [a fast-track screening service in a sexual health clinic offering rapid and/or conventional HIV tests and sexually transmissible infection (STI) tests].
METHODS: Service delivery data was collated and analysed from the HIV Pop-up (25 November to 1 December 2013) and the fast-track HIV/STI screening service (Xpress) in a sexual health clinic immediately before the Pop-up (1 August to 22 November 2013). A comparison of all the HIV tests and results, tests per hour and characteristics of new clients (demographics, risk behaviour, testing history) was conducted using χ(2), Poisson distribution and Ranksum tests.
RESULTS: At the Pop-up service, 182 GBM had a rapid HIV test conducted over the 5-day period (average: seven HIV tests per hour) and no HIV tests were reactive (0%, 95% confidence interval: 0-1.8%). At the Xpress service, 1075 asymptomatic GBM had at least one STI test and 957 GMB had a HIV test (rapid or conventional) conducted over the 3-month period (average: four HIV tests per hour), with two positive HIV tests (0.2%, 95% confidence interval: 0.02-0.7) and 151 positive STI tests (14%, 95% confidence interval: 12-16.2). Compared with new patients at the Xpress service, GBM attending the Pop-up service were older (median of 39 vs 29 years, P<0.01); more likely to report ≥5 sexual partners in the past 3 months (P=0.02); more likely to reside in 'Gay Sydney' (P<0.01); and more likely to be tested for HIV (P<0.01).
CONCLUSIONS: Time-limited Pop-up community HIV testing is feasible and reached high-risk GBM, but compared with a clinic-based model, it only reached a smaller proportion of GBM who test infrequently or who have never been tested and are unaware of their HIV status. No STI testing was conducted through the Pop-up service, which allowed a higher throughput of HIV tests; however, a significant number of STIs may have been missed.

Entities:  

Year:  2014        PMID: 25163573     DOI: 10.1071/SH14091

Source DB:  PubMed          Journal:  Sex Health        ISSN: 1448-5028            Impact factor:   2.706


  4 in total

Review 1.  HIV Testing Strategies, Types of Tests, and Uptake by Men Who have Sex with Men and Transgender Women: A Systematic Review and Meta-analysis.

Authors:  Laio Magno; Marcos Pereira; Caroline Tianeze de Castro; Thais Aranha Rossi; Laylla Mirella Galvão Azevedo; Nathalia Sernizon Guimarães; Ines Dourado
Journal:  AIDS Behav       Date:  2022-08-19

2.  Point-of-care testing (POCT) for HIV/STI targeting MSM in regional Australia at community 'beat' locations.

Authors:  Amy B Mullens; Josh Duyker; Charlotte Brownlow; Jime Lemoire; Kirstie Daken; Jeff Gow
Journal:  BMC Health Serv Res       Date:  2019-02-02       Impact factor: 2.655

3.  Maximizing the Efficiency of Active Case Finding for SARS-CoV-2 Using Bandit Algorithms.

Authors:  Gregg S Gonsalves; J Tyler Copple; A David Paltiel; Eli P Fenichel; Jude Bayham; Mark Abraham; David Kline; Sam Malloy; Michael F Rayo; Net Zhang; Daria Faulkner; Dane A Morey; Frank Wu; Thomas Thornhill; Suzan Iloglu; Joshua L Warren
Journal:  Med Decis Making       Date:  2021-06-14       Impact factor: 2.749

4.  Trial and error: evaluating and refining a community model of HIV testing in Australia.

Authors:  Kathleen E Ryan; Alisa Pedrana; David Leitinger; Anna L Wilkinson; Peter Locke; Margaret E Hellard; Mark Stoové
Journal:  BMC Health Serv Res       Date:  2017-10-10       Impact factor: 2.655

  4 in total

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