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Published on: December 27, 2010
Using Baltimore HIV behavioral surveillance data for local HIV prevention planning
Danielle German1, Sabriya Linton, Hope Cassidy-Stewart
1Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA, dgerman@jhsph.edu.
Maryland aligned HIV surveillance data with national and local prevention goals to improve HIV planning in the Baltimore-Towson area. This enhances data use for future HIV prevention and service decisions.
Area of Science:
- Public Health
- Epidemiology
- Health Services Research
Background:
- The National HIV/AIDS Strategy (NHAS) and CDC's Enhanced Comprehensive HIV Prevention Plan (ECHPP) guide local HIV prevention efforts.
- Maryland developed a local HIV prevention plan for the Baltimore-Towson Metropolitan Statistical Area, identifying priority goals.
Purpose of the Study:
- To assess the alignment of National HIV Behavioral Surveillance (NHBS) indicators with NHAS/ECHPP-informed local HIV prevention goals.
- To facilitate the ongoing use of NHBS data for local HIV prevention and service planning.
- To establish a basis for future NHBS data utilization in local HIV decision-making.
Main Methods:
- Reviewed NHBS indicators for relevance to local HIV prevention priorities.
- Identified key HIV-related indicators within NHBS that align with or can inform local HIV priorities.
- Highlighted areas for improvement in NHBS and local data collection.
Main Results:
- Key NHBS indicators were identified as directly or indirectly related to local HIV prevention priorities.
- The project identified opportunities to enhance NHBS and local data collection to better inform HIV prevention planning.
- A framework was established for using NHBS data to support local HIV decision-making.
Conclusions:
- NHBS data can be effectively utilized to inform local HIV prevention planning in the Baltimore area.
- Enhancements in data collection and indicator alignment are recommended to further strengthen HIV prevention strategies.
- This project provides a model for integrating surveillance data into local HIV prevention and service planning.
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