John de Wit1,2, Dean Murphy2,3, Luxi Lal4,5,6, Jennifer Audsley5,7, Christopher K. Fairley8,9, Mark Stoove4,10, Norm Roth11, Richard Moore12, Ban K.

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Presentation transcript:

John de Wit1,2, Dean Murphy2,3, Luxi Lal4,5,6, Jennifer Audsley5,7, Christopher K. Fairley8,9, Mark Stoove4,10, Norm Roth11, Richard Moore12, Ban K. Tee13, Nalagafiar Puratmaja6, Robert M. Grant14,15,16 & Edwina Wright4,5,5 Attitudes regarding HIV, PrEP and condom use jointly predict risk compensation among men who have sex with men – findings from the VicPrEP implementation project, Melbourne 1 Utrecht University, Department of Interdisciplinary Social Science, Utrecht, Netherlands; 2 UNSW Sydney, Centre for Social Research in Health, Sydney, Australia; 3 University of Sydney, Department of Gender and Cultural Studies, Sydney, Australia; 4 The Burnet Institute, Melbourne, Australia; 5 The Alfred Hospital, Department of Infectious Diseases, Melbourne, Australia; 6 Monash University, Department of Infectious Diseases, Melbourne, Australia; 7 University of Melbourne, The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; 8 Melbourne Sexual Health Centre, Melbourne, Australia; 9 Monash University, Central Clinical School, Melbourne, Australia; 10 Monash University, School of Population Health and Preventive Medicine, Melbourne, Australia; 11 Prahran Market Clinic, Melbourne, Australia; 12 Northside Clinic, Melbourne, Australia; 13 The Centre Clinic, Melbourne, Australia; 14 Gladstone Institutes, San Francisco, United States; 15 University of California-San Francisco, School of Medicine, San Francisco, United States; 16 San Francisco AIDS Foundation, San Francisco, United States

Disclosure of speaker’s interest Relations that could be relevant for the meeting Company names Sponsorship or research funds Gilead (Australia)

Background Potential risk compensation among MSM using PrEP Exacerbation of high rates of STS in key population Initial reported evidence from implementation projects VicPrEP: Reduction of condom use with casual partners (Lal et al. AIDS 2017;31:1709-14)

Objective Understanding of PrEP-related risk compensation Demographic and attitudinal covariates of condom use with casual partners among MSM in VicPrEP study

VicPrEP First Australian PrEP demonstration project started in 2014 3 sexual health clinic, 3 GP clinics; Melbourne 115 MSM offered PrEP; PrEPX scale-up end of study 12 months clinical, laboratory and behavioral follow-up Baseline and 3-monthly self-report questionnaires Outcome Change in condom use w/ casual partners Assessed on 5-point scale (1=never, 5=always) Generalized Estimating Equations Distribution: gamma; link function: log

Univariable Associations Multivariable Associations Results   Univariable Associations Multivariable Associations Assessment Baseline 3 months 6 months 9 months 12 months Reference B = -0.18 (95 CI -0.28, -0.08) B = -0.22 (95 CI -0.31, -0.12) B = -0.28 (95 CI -0.38, -0.17) B = -0.25 (95 CI -0.37, -0.13) B = -0.20 (95 CI -0.31, -0.09) B = -0.23 (95 CI -0.33, -0.13) B = -0.28 (95 CI -0.39, -0.16) B = -0.23 (95 CI -0.36, -0.10) Referral Provider Patient B = -0.03 (95 CI -0.20, 0.15) Age 18-29 years 30 years or older B = 0.16 (95 CI -0.03, 0.35) Education Non-university Undergraduate or graduate B = -0.05 (95 CI -0.23, 0.12) Country of birth Australia Elsewhere B = -0.12 (95 CI -0.31, 0.08) Frequency of anal sex with casual partners B = 0.00 (95 CI -0.01, 0.00)

Univariable Associations Multivariable Associations Results Univariable Associations Multivariable Associations Perceived likelihood of becoming HIV positive B = -0.01 (95 CI -0.09, 0.07) Perceived seriousness of HIV infection B = 0.23 (95 CI 0.12, 0.34) B = 0.12 (95 CI 0.01, 0.23) Personal importance of remaining HIV negative B = 0.34 (95 CI 0.20, 0.47) B = 0.33 (95 CI 0.19, 0.48) Perceived efficacy of PrEP in preventing HIV B = -0.03 (95 CI -0.19, 0.14)   Perceived acceptability of PrEP to avoid HIV B = -0.06 (95 CI -0.20, 0.08) Perceived motivation to take PrEP B = -0.03 (95 CI -0.13, 0.08) Perceived necessity of PrEP for prevention B = -0.11 (95 CI -0.20, -0.01) B = -0.11 (95 CI -0.20, -0.02) Perceived concerns about adverse effects B = 0.09 (95 CI -0.02, 0.21) Perceived impact of condoms on sex B = 0.19 (95 CI 0.09, 0.28) B = 0.18 (95 CI 0.10, 0.27)

Conclusions Condom use for anal sex with casual partners decreased High adherence contributed to HIV prevention PrEP additional prevention tool? Prevention of other STI? Reduced condom use was found to be associated to: Perceiving HIV less as health threat to be avoided Perceiving PrEP as more important for prevention Complex evaluations shaping risk reduction practices Continued condom use coincided with more perceived adverse impact on sexual experiences Multiple points of entry for community-based initiatives to raise awareness and address impact of risk compensation STI prevention by regular testing Emerging re-evaluation of condoms?

Thank you for your attention j.dewit@unsw.edu.au