The main objective of the course is to enhance the skills of participants in analysis of the HIV “care cascade”, which is used to determine the magnitude of the losses and gaps along the continuum of HIV care and to explore reasons for these losses. The HIV care cascade is a way to show the proportion of individuals living with HIV who are engaged at each stage of HIV care, typically illustrated by a cascading bar chart. Cascades consist of a series of events in which each event is contingent on having achieved the preceding event until the final outcome is reached
The HIV care cascade enables to monitor the progress against 90-90-90 targets that the international community set towards achieving the Sustainable Development Goals and ending AIDS.
During the course, participants will learn how to construct and interpret cross sectional cascades, which provide national estimates of the 90-90-90 targets. Where there are strong individual-level reporting systems, HIV cascades can also be developed using data that follow individuals over time - this type of cascade is called a longitudinal cascade, or a cohort cascade. The course will also describe the ongoing efforts to standardize HIV prevention cascades and the stages of this cascade starting from testing (risk yield, referral to prevention services and retesting and retention in prevention). Prevention cascades generally start with the number of uninfected people at risk for HIV infection; people can then be followed across various prevention programmes with an endpoint of not becoming infected (key population services, PrEP, VMMC, and referral to community based prevention in local areas of high risk). During group work, participants will be able to construct various types of cascades using their own data (cross-sectional, longitudinal, KPs cascades, PMTCT and HIV co-infections cascades, HIV prevention cascades) or data given by facilitators.
The learning objectives are to:
• Learn how toimplement cascade analysis, from data collection, description of indicators and analysis, to writing a report on the cascade analysis
• Understand and discuss data sources and tools needed for the cascade analysis, including HIV case-based surveillanceand longitudinal patient monitoring
• Illustrate approaches to constructing and interpreting findings from cascades for prevention of mother-to-child transmission,HIV prevention and HIV co-infections with HBV, HCV and TB
• Describe stratification of the cascade by sex, age groups, risk groups and geographic areas, and utility of such analysis
• Present examples of the HIV cascade analysis done in a general population and in population sub-groups (pregnant women, people who inject drugs [PWID], men who have sex with men [MSM], female sex workers, transgenders, prisoners, young people, etc.)
• Learn how to use cascade data to target performance improvement and provide the most recent information on the effective and novel interventions to improve cascade indicators (HIV testing, linkage and retention in HIV treatment and viral load suppression)
• Interpret results of the cascade analyses in the context of biases and other limitations related to data availability and quality
• Conduct cascade data analysis and propose interventions that can address the gaps in the prevention and treatment continuum
The course consists of lectures, exercises and case studies.
There will be three options for group work/exercise:
Option A – a cascade analysis using de-identified data provided by the WHO Collaborating Centre
Option B – constructing an HIV cascade(including PMTCT, HIV co-morbidities cascade and prevention cascade)for a general population or disaggregated by sub-populations (FSW, MSM, PWID, etc.) and geographical areas by using most recent data that participants will bring from their countries.
Option C – use the cascade from Option A to discuss approaches of how to improve specific cascade indicators and how to measure change in the indicator in the short and medium terms.
Results of the cascade analysis will be presented by participants during the final day of the workshop.
Epidemiologists, social scientists, public health professionals