2014年-世界发展银行全球_An_Appraisal_of_Female_Sex_Work_in_Nigeria___Implications_for_Designing_and_Scaling_Up_HIV_Prevention_Programmes_9页_227kb

Summary of "An Appraisal of Female Sex Work in Nigeria - Implications for Designing and Scaling Up HIV Prevention Programmes"

Core Content

This study presents a comprehensive appraisal of Female Sex Workers (FSWs) in seven Nigerian states, with the aim of informing the design and scaling up of targeted HIV prevention programmes. The appraisal involved a two-level methodology to map and estimate the size of FSW populations, focusing on their geographic locations, typologies, and operational dynamics.

Main Findings

• FSW Population Size: Across the seven states, an estimated 126,489 FSWs were identified, with the highest number in Lagos (46,691) and the lowest in Anambra (5,920).
• Hotspot Identification: A total of 10,233 active FSW hotspots were identified. These hotspots included bars/nightclubs (30%), hotels/lodges (29.6%), streets (16.6%), and brothels (14.6%).
• FSW Density: The population density of FSWs varied significantly between states, ranging from 2 per 1,000 adult males in Anambra to 17 in the Federal Capital Territory (FCT). Within FCT, AMAC had the highest density at 88 per 1,000 adult males, while Abaji had the lowest at 17 per 1,000 adult males.
• Typology of FSWs: Different states had varying FSW typologies. Hotel/lodge-based FSWs were the most common (32%), followed by bar/nightclub-based FSWs (27%), brothel-based FSWs (17%), and street-based FSWs (15%). A small proportion (5%) were classified as "other," including those working from home or campuses.
• Venue Profiling and Rural Appraisal: 31.4% of venues profiled had FSWs, and these venues accounted for 56% of the estimated number of males and females seeking casual sexual partners. In rural areas, a significant proportion of both married and unmarried males reported having sex with FSWs in the last six months.

Key Insights

• Mapping and Estimation: The study used a two-level mapping process to identify and validate hotspots. Level 1 involved interviews with secondary key informants, while Level 2 included direct interviews with FSWs at these hotspots.
• Methodological Adaptation: The methodology was adapted from the PLACE (Priorities for Local AIDS Control Efforts) framework, which focuses on identifying geographic locations where individuals acquire new sexual partners.
• Strategic Intervention Planning: The mapping data has been crucial for the State Agencies for Control of AIDS (SACAs) in planning, prioritizing, and scaling up HIV prevention interventions. It has enabled them to strategically allocate resources and design context-specific prevention strategies.
• Impact on Program Design: The data has informed the design of targeted HIV prevention programmes, with some states focusing on peer outreach and clinical services, while others use staff engagement in hotels and bars to facilitate outreach.
• Resource Allocation: The study has helped SACAs calculate the cost of interventions in different hotspots and allocate resources more efficiently to civil society organizations (CSOs) working with FSWs.

Implications for HIV Prevention

• The high HIV prevalence among FSWs and their clients underscores the need for focused prevention efforts.
• The heterogeneity in FSW populations across states and local government areas (LGAs) has led to context-specific interventions, moving away from a one-size-fits-all approach.
• The mapping data has been used to design an impact evaluation framework, ensuring that future assessments can measure the effectiveness of targeted HIV prevention strategies.

Conclusion

This study provides critical insights into the geographic distribution, typology, and density of FSW populations in Nigeria, which is essential for designing and scaling up effective HIV prevention programmes. The data has significantly enhanced the ability of SACAs to target interventions, reduce duplication, and improve program coordination. The findings also highlight the importance of understanding local contexts in public health planning and the value of geographic mapping in identifying high-risk areas for HIV transmission.