22nd International AIDS Conference, Amsterdam

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Presentation transcript:

22nd International AIDS Conference, Amsterdam How can programmes best support female sex workers to avoid HIV infection in Zimbabwe? A prevention cascade analysis Elizabeth Fearon, Andrew Phillips, Sibongile Mtetwa, Sungai T Chabata, Phillis Mushati, Valentina Cambiano, Joanna Busza, Sue Napierala, Bernadette Hensen, Stefan Baral, Sharon S Weir, Brian Rice, Frances M Cowan, James R Hargreaves July 26, 2018 22nd International AIDS Conference, Amsterdam

Conflicts of Interest None to declare.

HIV among female sex workers in Zimbabwe High HIV prevalence: estimated 59%, rises steeply with age High HIV incidence, estimate from programme repeat-testing: 10% Require community-led combination HIV prevention Sisters with a Voice Programme: since 2009 providing sexual and reproductive health services including HIV testing to FSW at 36 sites across Zimbabwe How best to monitor HIV prevention and identify gaps in provision that allows us to target and improve HIV prevention programming?

‘Covered’ by prevention HIV prevention cascades For a given ‘prevention tool’: ‘Covered’ by prevention Demand Supply Adherence HIV- negative population at risk 4

‘Covered’ by prevention HIV prevention cascades For a given ‘prevention tool’: What factors lead to gaps in demand, supply, adherence? What programmes are needed? ‘Covered’ by prevention Demand Supply Adherence HIV- negative population at risk 5

Data: SAPPH-IRe Trial Cluster RCT 2014-2016 7 Comparison sites: community mobilisation, peer education, HTC, SRH services, STIs 7 Intervention sites: as above + ART and PrEP available onsite, adherence support Endline cross-sectional RDS surveys, n~200 per site Aged 18+ years Resident at the site 6 months + Exchanged sex for money in previous 30 days 611/1439 FSW were HIV-negative in intervention sites Mean age 30 years; Majority separated/divorced/widowed (78%); Majority 1-5 (60%) and 6-9 clients per week (24%).

Operationalising the HIV Prevention Cascade Condoms PrEP Demand Aware that condoms can prevent HIV infection Heard of PrEP Supply Reports condoms are “easily available” whenever needed Ever offered PrEP Adherence No instance of condomless sex reported in the last month or at last sex with clients or steady partners* Currently taking PrEP and Taking PrEP “every day” *amongst steady partners not reported as known to be HIV-negative Explanatory factors: sociodemographic, sex work characteristics, experience of stigma, experience of violence, relationships with other sex workers, alcohol consumption, where obtain condoms, adherence to the other prevention tool.

Operationalising the HIV Prevention Cascade Condoms PrEP Demand Aware that condoms can prevent HIV infection Heard of PrEP Supply Reports condoms are “easily available” whenever needed Ever offered PrEP Adherence No instance of condomless sex reported in the last month or at last sex with clients or steady partners* Currently taking PrEP and Taking PrEP “every day” *amongst steady partners not reported as known to be HIV-negative Explanatory factors: sociodemographic, sex work characteristics, experience of stigma, experience of violence, relationships with other sex workers, alcohol consumption, where obtain condoms, adherence to the other prevention tool.

Prevention Cascade amongst n=611 HIV-negative FSW: condoms and PrEP 93.7% n=581 93.9% n=293 45.5% n=343 54.7% n=98 15.6% n=188 28.8% n=378 60.9%

Prevention Cascade amongst n=611 HIV-negative FSW: condoms and PrEP 93.7% n=581 93.9% n=293 45.5% n=343 54.7% n=98 15.6% n=188 28.8% n=378 60.9%

Prevention Cascade amongst n=611 HIV-negative FSW: condoms and PrEP 93.7% n=581 93.9% n=293 45.5% n=343 54.7% n=98 15.6% n=188 28.8% n=378 60.9%

Of the 343/618 HIV-negative FSW (54.7%) covered by HIV prevention:

Factors associated with condom adherence Weighted % Adjusted Odds Ratio 95% CI Overall condom adherence 293/611 45.5 Age entered sex work 1.05 1.00-1.11 Use condoms provided by clients 99/218 39.0 0.48 0.30-0.78 Ever received condoms from a peer educator 187/380 46.8 1.64 1.01-2.65 Frequency of alcohol consumption Never Once per month or less 2-4 times per month 2-3 occasions per week 4+ occasions per week 139/262 26/44 39/77 50/112 38/115 50.9 61.7 49.2 38.8 28.9 1 1.43 0.89 0.50 0.34 0.61-3.33 0.42-1.86 0.26-0.94 0.16-0.69 Ask Frances what alcohol programming have already Adjusted for age, education, marital status, food insecurity, number of clients and site.

Factors associated with PrEP adherence Weighted % Adjusted Odds Ratio 95% CI Overall PrEP adherence 98/611 15.8 Age at survey 1.05 1.01-1.10 Age entered sex work 0.94 0.89-0.99 Frequency of alcohol consumption Never Once per month or less 2-4 times per month 2-3 occasions per week 4+ occasions per week 40/262 5/44 21/77 16/112 16/115 18.9 9.3 20.9 7.4 13.3 1 0.37 1.09 0.38 0.74 0.10-1.31 0.44-2.73 0.15-0.96 0.28-1.97 Adjusted for age, education, marital status, food insecurity, number of clients and site.

Association between PrEP adherence and condom adherence n adherent to condoms/ N adherent to PrEP Weighted % aOR 95% CI Adherent to condoms (overall) 48/98 40.8 0.90 0.47-1.71 Adherent to condoms with clients 54/98 48.5 1.14 0.58-2.23 Adjusted for age, education, marital status, food insecurity, number of clients and site.

Discussion Conclusions for sex work programming in Zimbabwe High demand for and supply of condoms; difficulties in adherence (often not under FSWs’ control) PrEP: new technology, need for demand strengthening as supply increases and support to adhere Programming to assist HIV prevention in the context of alcohol consumption Younger sex workers and those new to sex work likely need additional support Limitations: secondary analysis, limited and self-reported measures, cross-sectional Requirements for prevention cascades Reflect combination prevention, different choices and circumstances Account for changes in time at risk, and different partner circumstances Address measurement challenges: concepts, biases in self-report

Thank you Study participants of the SAPPH-IRe trial The Bill and Melinda Gates Foundation via the MeSH Consortium (BMGF OPP1120138), funding of these analyses Funders of the SAPPH-IRe trial: DFID, Swedish SIDA, and Irish Aid via Zimbabwe’s Integrated Support Programme, and UNFPA MeSH Consortium Key Populations Working Group London HIV Prevention Cascades Working Group SAPPH-IRe study team