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Sexual Partner Referral for HIV Testing Through Social Networking Platforms: Cross-sectional Study.

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  • 1School of Nursing, National Taiwan University College of Medicine, Taipei, Taiwan.

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|April 5, 2022
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Summary

Partner-elicited interviews effectively increased HIV testing referrals among men who have sex with men (MSM) using social networking platforms. This approach identified more sexual partners and new HIV cases, highlighting the importance of social network analysis for prevention programs.

Keywords:
HIV testingmen who have sex with menmobile healthmotivational interviewingreferral and consultationrisk behaviorsexual partnerssocial networking

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Area of Science:

  • Public Health
  • Epidemiology
  • Social Sciences

Background:

  • Men who have sex with men (MSM) engaging in voluntary HIV counseling and testing (VCT) often report high-risk sexual behaviors and networks.
  • Limited research exists on utilizing motivational interviewing and social platforms for partner referral in HIV testing among MSM.

Purpose of the Study:

  • To assess the impact of VCT partner referral via social networking platforms on HIV testing outcomes in MSM.
  • To compare characteristics and risk behaviors of MSM tested with and without referrals.
  • To explore sexual affiliations using social network analysis.

Main Methods:

  • Cross-sectional study using purposeful and respondent-driven sampling in Taipei City.
  • Partner-elicited interviews conducted to motivate MSM for referrals via the Line app.
  • Rapid HIV testing for referred sexual partners, with repeated recruitment.

Main Results:

  • 28.2% of index subjects referred sexual partners, leading to 127 referrals via Line.
  • Referred MSM exhibited higher rates of multiple partners, frequent anal intercourse, and prior lack of HIV testing.
  • A new HIV-seropositivity rate of 2.4% was observed among referred partners, higher than other groups. Social network analysis identified transmission bridges.

Conclusions:

  • Partner-elicited interviews effectively promote HIV testing referrals and case identification among MSM through platforms like Line.
  • Social network analysis is crucial for understanding sexual affiliations and developing targeted HIV prevention strategies for MSM.