We wish to see a data-driven HIV prevention revolution in the coming years. To inform the scale-up of community-based and multi-sectoral prevention activities (including risk-differentiated prevention services), we are strengthening the collection and use of routine data to:
identify who is covered by prevention programmes and who is not;
assess whether needs are matched by the types of interventions that are being delivered;
track engagement and disengagement with prevention services, particularly among high risk groups.
Working towards these aims we have developed and operationalised prevention cascades to provide a framework for actionable information to accelerate HIV incidence decline by identifying gaps in levels of demand for HIV prevention interventions, their supply, or their effective and sustainable use once initiated. While we have made progress in designing and implementing this framework, we are continuing to translate the idea of the prevention cascade to widespread measurement and adoption in Malawi, Zimbabwe and South Africa.