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Can community based HIV prevention have a positive effect on HIV testing behavior? Findings from a quasi-experimental study with female sex workers in Yangon and Mandalay. T. Aung 1 , S.T. Thein 1 , N.E. Paw 1 , T.R. Aung 1 , G. Mundy 2. Background. Myanmar and HIV. Concentrated epidemic 1
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Can community based HIV prevention have a positive effect on HIV testing behavior? Findings from a quasi-experimental study with female sex workers in Yangon and Mandalay T. Aung1, S.T. Thein1, N.E. Paw 1, T.R. Aung1, G. Mundy2 1Population Services International/Myanmar, Strategic Information Department, Yangon, Myanmar 2Population Services International, Bangkok, Thailand
Myanmar and HIV • Concentrated epidemic1 • within key-affected populations • Female sex workers (FSW) • Men who have sex with men (MSM) • People who inject drugs (PWID) • general population prevalence <1%. 1HIV Sentinel Sero-surveillence Survey 2011, National AIDS Programme, Ministry of Health
FSW and HIV in Myanmar 1HIV Sentinel Sero-surveillence Survey 2011, National AIDS Programme, Ministry of Health • An estimated 9.4% of FSW in Myanmar are HIV positive1 • Prevalent risk behaviors • Inconsistent condom use • Low HIV testing rates
PSI/Myanmar TOP • 'Targeted Outreach Program' (TOP) drop-in centers (DiC) • Providing health services to key affected populations (FSW and MSM) in 18 cities/towns in Myanmar • Community based approach using peers • Promoting HIV testing & condom use among FSW • Reached over 20,000 FSW with HIV prevention services in 2013
Study objectives To measure the proportion of FSW who reported getting tested for HIV and receiving test results in the past 6 months To assess the role of TOP DiC in promoting HIV testing
Study design Cross-sectional survey using time-location cluster sampling Study population – women who reported having sex with a man for money in the past 3 months in Yangon and Mandalay (N=702) Study period – October to December 2013
Coarsened Exact Matching 1. Comparative effectiveness of matching methods for causal inference. http://gking.harvard.edu/files/gking/files/psparadox.pdf • Monotonic imbalance matching method designed to reduce imbalance between treatment and control groups in observational data1 • Used to match two groups • Those who had visited TOP DiC and • Those who never did • Two matching criteria • Location where clients were met (e.g., streets, brothels, bars, karaoke) • City of current residence (Yangon and Mandalay) • Analyzed using STATA version 11
Logistic Regression • Using CEM weights • Exposure Variable • TOP DiC Visits (those who had ever visited TOP DiC at least 4 months ago vs. those who never did) • Outcome variables • HIV testing within 6 months • STI check-up and treatment within 12 months • Adjusted covariates • Age, education, duration of sex work, presence of regular partner(s)
Visits to TOP DiC Ever visited TOP DiC – 38.3% First visit more than four months prior to survey – 74.5% among those who visited
Influence of TOP DiC visits on HIV testing • Women who ever visited TOP DiC were four times more likely to get tested for HIV
Influence of TOP DiC visits on STI Management • Women who ever visited TOP DiC were • 3 times more likely to get STI checkup • 8 times more likely to get STI Rx from qualified provider
Conclusions • Targeted and community based HIV testing services through TOP centers work well • Should consider scaling-up • Wider coverage • Better access to harder to reach groups
Questions? PSI