About Promising Practices

USAID, through the AIDSTAR-One project, maintains a comprehensive database of good and promising programmatic practices (formerly known as G3Ps) that users can search to identify successful HIV programs (e.g., prevention, care and support, PMTCT) to inform their own design and implementation efforts.

AIDSTAR-One's Promising Practices Database broadens the definition of a "best practice" by including emerging, innovative approaches as well as proven practices. This ensures that users have balanced access to information about both cutting-edge HIV program models and those more established practices.

The Promising Practices Database provides a unique venue for implementing partners to showcase their work and opportunities to establish their technical expertise in HIV programming. Nominating a practice should not be a time-intensive process; contact us and we'll walk you through the process.

Program designers, implementers, and managers can search the database to find models that they can adapt for use in their context. The documentation included with some practices may also include tools and training curricula that have been successfully implemented in the field.

Practices are assigned to one of three categories (see graphic below) to help users distinguish how much evidence a practice has available to inform future programming. These categories do not reflect the value of a practice, but rather the breadth of the documentation that is available on the practice.

The database lists practices based on six program elements: target population, program implementation, program evaluation, program monitoring, quality assurance/quality improvement; and extent of funding support. To include a practice in the database, AIDSTAR-One must have adequate documentation on the specific objectives of the practice, its target population, how it was implemented, and the results it has achieved.

The database allows users to search based on the category a practice is assigned, as well as its core content (target population, focus area, region, etc.).