In December 2016, the Nigerian Federal Ministry of Health updated its HIV guidelines to a Treat All approach, expanding antiretroviral therapy (ART) eligibility to all individuals with HIV infection, regardless of CD4+ cell count, and recommending ART be initiated within two weeks of HIV diagnosis (i.e., the Test and Treat strategy). The Test and Treat policy was first piloted in 32 local government areas (LGAs). The primary objective of this study was to evaluate the clinical outcomes of adult patients initiated on ART within two weeks of HIV diagnosis during this pilot. We conducted a retrospective cohort analysis of patients who initiated ART within two weeks of new HIV diagnosis between October 2015 and September 2016 in eight randomly selected LGAs participating in the Test and Treat pilot study. 2,652 adults were newly diagnosed and initiated on ART within two weeks of HIV diagnosis. Of these patients, 8% had documentation of a 12-month viral load measurement, and 13% had documentation of a six-month viral load measurement. Among Test and Treat patients with a documented viral load, 79% were suppressed (≤400 copies/ml) at six months and 78% were suppressed at 12 months. By 12 months post-ART initiation, 34% of the patients who initiated ART under the Test and Treat strategy were lost to follow-up. The median CD4 cell count among patients initiating ART within two weeks of HIV diagnosis was 323 cells/mm 3 (interquartile range, 161–518). While randomized controlled trials have demonstrated that Test and Treat strategies can improve patient retention and increase viral suppression compared to standard of care, these findings indicate that the effectiveness of Test and Treat in some settings may be far lower than the efficacy demonstrated in randomized controlled trials. Significant attention to the way Test and Treat strategies are implemented, monitored, and improved particularly related to early retention, can help expand access to ART for all patients.
Background With the fourth highest HIV burden globally, Nigeria is characterized as having a mixed HIV epidemic with high HIV prevalence among key populations, including female sex workers, men who have sex with men, and people who inject drugs. Reliable and accurate mapping of key population hotspots is necessary for strategic placement of services and allocation of limited resources for targeted interventions. Objective We aimed to map and develop a profile for the hotspots of female sex workers, men who have sex with men, and people who inject drugs in 7 states of Nigeria to inform HIV prevention and service programs and in preparation for a multiple-source capture-recapture population size estimation effort. Methods In August 2018, 261 trained data collectors from 36 key population–led community-based organizations mapped, validated, and profiled hotspots identified during the formative assessment in 7 priority states in Nigeria designated by the United States President’s Emergency Plan for AIDS Relief. Hotspots were defined as physical venues wherein key population members frequent to socialize, seek clients, or engage in key population–defining behaviors. Hotspots were visited by data collectors, and each hotspot’s name, local government area, address, type, geographic coordinates, peak times of activity, and estimated number of key population members was recorded. The number of key population hotspots per local government area was tabulated from the final list of hotspots. Results A total of 13,899 key population hotspots were identified and mapped in the 7 states, that is, 1297 in Akwa Ibom, 1714 in Benue, 2666 in Cross River, 2974 in Lagos, 1550 in Nasarawa, 2494 in Rivers, and 1204 in Federal Capital Territory. The most common hotspots were those frequented by female sex workers (9593/13,899, 69.0%), followed by people who inject drugs (2729/13,899, 19.6%) and men who have sex with men (1577/13,899, 11.3%). Although hotspots were identified in all local government areas visited, more hotspots were found in metropolitan local government areas and state capitals. Conclusions The number of key population hotspots identified in this study is more than that previously reported in similar studies in Nigeria. Close collaboration with key population–led community-based organizations facilitated identification of many new and previously undocumented key population hotspots in the 7 states. The smaller number of hotspots of men who have sex with men than that of female sex workers and that of people who inject drugs may reflect the social pressure and stigma faced by this population since the enforcement of the 2014 Same Sex Marriage (Prohibition) Act, which prohibits engaging in intimate same-sex relationships, organizing meetings of gays, or patronizing gay businesses.
BACKGROUND With the fourth highest HIV burden globally, Nigeria is characterized as having a mixed HIV epidemic with high HIV prevalence among key populations (KP), including female sex workers (FSW), men who have sex with men (MSM), and people who inject drugs (PWID). Reliable and accurate mapping of KP hotspots is necessary for strategic placement of services and allocation of limited resources for targeted interventions. OBJECTIVE We aimed to map and develop a profile for FSW, MSM, and PWID hotspots in seven states of Nigeria to inform HIV prevention and service programming and in preparation for a multiple-source capture-recapture population size estimation effort. METHODS In August 2018, 261 trained data collectors from 36 KP-led community-based organizations (CBOs) in seven United States President’s Emergency Plan for AIDS Relief (PEPFAR) priority states mapped, validated, and profiled hotspots identified during the formative assessment. Hotspots were defined as physical venues where KP members frequent to socialize, seek clients and/or engage in KP-defining behaviors. Hotspots were visited by data collectors and each hotspot’s name, local government area (LGA), address, type, geographic coordinates, peak times of activity, and estimated number of KP members were recorded. The number of KP hotspots per LGA were tabulated from the final list of hotspots. RESULTS A total of 13,899 KP hotspots were identified and mapped in the seven states, including 1,297 in Akwa Ibom, 1,714 in Benue, 2,666 in Cross River, 2,974 in Lagos, 1,550 in Nasarawa, 2,494 in Rivers and 1,204 in the Federal Capital Territory. The most common hotspots were those frequented by FSW (69.0%), followed by PWID (19.6%), and MSM (11.3%). More hotspots were found in metropolitan LGAs and state capitals, although hotspots were identified in all LGAs visited. CONCLUSIONS A total of 13,899 KP hotspots in the seven states were identified; more than previously reported in similar studies in Nigeria. Close collaboration with KP-led CBOs facilitated identification of many new and previously undocumented KP hotspots in the seven states. The small number of MSM hotspots (n=1,577) relative to FSW (n=9,593) and PWID (n=2,729) hotspots may reflect the social pressure and stigma faced by this population.
Background Nigeria has the fourth largest burden of HIV globally. Key populations, including female sex workers, men who have sex with men, and people who inject drugs, are more vulnerable to HIV than the general population due to stigmatized and criminalized behaviors. Reliable key population size estimates are needed to guide HIV epidemic response efforts. Objective The objective of our study was to use empirical methods for sampling and analysis to improve the quality of population size estimates of female sex workers, men who have sex with men, and people who inject drugs in 7 states (Akwa Ibom, Benue, Cross River, Lagos, Nasarawa, Rivers, and the Federal Capital Territory) of Nigeria for program planning and to demonstrate improved statistical estimation methods. Methods From October to December 2018, we used 3-source capture-recapture to produce population size estimates in 7 states in Nigeria. Hotspots were mapped before 3-source capture-recapture started. We sampled female sex workers, men who have sex with men, and people who inject drugs during 3 independent captures about one week apart. During hotspot encounters, key population members were offered inexpensive, memorable objects unique to each capture round. In subsequent rounds, key population members were offered an object and asked to identify objects received during previous rounds (if any). Correct responses were tallied and recorded on tablets. Data were aggregated by key population and state for analysis. Median population size estimates were derived using Bayesian nonparametric latent-class models with 80% highest density intervals. Results Overall, we sampled approximately 310,000 persons at 9015 hotspots during 3 independent captures. Population size estimates for female sex workers ranged from 14,500 to 64,300; population size estimates for men who have sex with men ranged from 3200 to 41,400; and population size estimates for people who inject drugs ranged from 3400 to 30,400. Conclusions This was the first implementation of these 3-source capture-recapture methods in Nigeria. Our population size estimates were larger than previously documented for each key population in all states. The Bayesian models account for factors, such as social visibility, that influence heterogeneous capture probabilities, resulting in more reliable population size estimates. The larger population size estimates suggest a need for programmatic scale-up to reach these populations, which are at highest risk for HIV.
Background: This manuscript aimed to examine treatment outcomes of HIV-positive children and adolescents. Methods: We retrospectively analyzed data of a sample of patients aged 0–19 years who initiated ART (October 2007–September 2016) in participating sites in 30 states and the Federal Capital Territory in Nigeria. Results: Among 4006 patients alive at the end of the follow up period, 138 (3.4%) were LTFU. Adolescents had a significantly higher risk of being LTFU than children aged 3–5 years (HR 2.47 [95% CI 1.40-4.34]). Patients with advanced disease had a significantly higher risk of being LTFU (Stage IV HR, 3.66 [95% CI: 2.00-6.68]). On average, optimal ART refill adherence was met by 67.3% of patients. Conclusion: Our findings suggest that focusing on preventing and managing advanced disease and interventions supporting adolescents when transferring to adult care is warranted.
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