Population-based estimates of prevalence of HIV, HBV and HCV and HIV-related risk behaviors among male injecting drug users in Lagos, Nigeria Waimar Tun.

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Presentation transcript:

Population-based estimates of prevalence of HIV, HBV and HCV and HIV-related risk behaviors among male injecting drug users in Lagos, Nigeria Waimar Tun 1, Sylvia Adebajo 2,3, Lolade Abiodun 2, Andrew Karlyn 1, Lung Vu 1, Jennifer Anyanti 3, Wada Balami 4, Issa Kawu 4 and Meredith Sheehy 1 1 Population Council, Washington DC, United States; 2 Population Council, Abuja, Nigeria; 3 Enhancing Nigeria’s Response to HIV&AIDS (ENR) Programme, Federal Ministry of Health, Abuja, Nigeria

Why focus on injecting drug users? Increasing number of injecting drug users (IDUs) in Nigeria Little is known about HIV, hepatitis B (HBV), and hepatitis C (HCV) infections among IDUs in Africa, including Nigeria IDUs are vulnerable for HIV infection Hidden and stigmatized Low socioeconomic status No tailored services addressing the unique needs of IDUs

Objectives Determine the prevalence of and risk factors for HIV, HBV and HCV infections. Build local capacity on conducting surveys among most-at-risk populations (MARPs). Link IDUs to the Council’s Men Health Network service delivery outlets.

Study design Cross-sectional survey. Information collected included: Sexual history Drug history Social network Health seeking behavior Discrimination Participants tested for HIV, HBV and HCV. Protocol approved by local and Population Council review boards.

Eligibility IDUs 18 years and older living in Lagos metropolitan area who provided informed consent Used needles to inject drugs in past 12 months Screening questions were used to screen for impostors A total sample of 328 IDUs were recruited between August and September 2010

Sampling We used respondent-driven sampling (RDS): Sampling method commonly used for hard-to- reach populations Type of chain referral sampling (snowball) whereby peers recruit their peers Population must be connected through social networks Consists of 2 parts: Recruitment strategy Analysis (takes into account social network sizes and recruitment patterns)

Wave 1 Wave 2 Wave 3 Wave 4 Recruiter Seed Recruit

Recruitment tree (N = 328)

Demographic characteristics Characteristics% (95% CI) Age (yrs) [median; min-max]40 (18–50) Age (yrs) 18– (1.6–7.1) 26– (32.0–47.2) 40– (48.4–64.2) Education Primary26.9 (20.9–33.4) Secondary46.7 (39.3–53.9) Tertiary26.4 (20.0–32.7) Job Not earning35.0 (28.5–43.0) Part-time27.6 (21.2–32.9) Self-employed30.3 (23.2–38.2) Fulltime7.1 (3.9–10.6)

Demographic characteristics Characteristics% (95% CI) Marital status Single60.9 (54.2–70.4) Single living w/ female partner 5.4 (2.7–8.2) Single living w/ male partner 0.5 (0–1.3) Married to a woman32.5 (24.0–38.6) Religion Christian74.0 (69.5–80.9) Muslim23.3 (17.2–28.4) Away from home for ≥ 1 month Yes27.5 (21.6–33.4) No72.5 (66.6–78.4)

Frequency of drug injection (past month)

Injecting and sexual behaviors

Common locations for injection drugs

Where needles/syringes are obtained

Prevalence of HIV, HBV and HCV Unadjusted % (n) Adjusted % (95% CI) HIV1.8 (6) 0.9 (0.2–2.0) HBV 6.8 (22) 7.8 (4.3–11.7) HCV 5.9 (19) 7.7 (3.5–12.7)

Factors associated with HBV infection OR (95% CI)AOR (95% CI) Age: 40–50 (vs. 18–39)1.1 (0.4–3.1)1.7 (0.4–6.6) Education (ref = primary) Secondary1.7 (0.5–6.0)2.2 (0.5–10.4) Tertiary1.1 (0.2–4.9)1.4 (0.2–9.6) Injected drugs past month2.7 (1.0–7.6)*5.0 (1.5–16.1)** Shared needle or syringes past 1 month3.3 (0.8–14.6)5.2 (0.7–36.9) Years injecting drugs ≥ 10 years (vs. < 10 years)2.1 (0.8–5.8)2.5 (0.8–8.0) Unprotected sex past 6 months Yes1.0 No0.1 (0.01–0.8)*0.1 (0.01–0.6)* No sex0.8 (0.2–2.8)0.7 (0.2–3.0) *significant at p < 0.05; **significant at p < 0.01

Conclusion Low HIV prevalence ~2%. Moderate/high prevalence of HBV and HCV. HBV infection was associated with unsafe sex and frequency of drug injection. Low needle sharing. Low testing. Over two-thirds used heroin. Engage in sexual risk behaviors.

Limitations Low prevalence of HIV and small sample size, preventing multivariate analysis. Difficulty recruiting IDUs in poor and stigmatized settings.

Recommendations Closely monitor the epidemic among IDUs to avoid what has been observed in Asia and Central Europe. Further studies with larger samples of male and female participants.

Acknowledgements Participants Federal Ministry of Health Enhancing Nigeria’s Response to HIV & AIDS (ENR) Programme with funding from DFID The entire Research Team