IeDEA Treat All Dashboard Launches!

IeDEA Treat All Dashboard Launches!

The four Africa regions of the International epidemiology Databases to Evaluate AIDS (IeDEA) research collaboration are pleased to announce the launch of the IeDEA Treat All Dashboard, which presents data and metrics on Treat All at HIV care and treatment clinics in sub-Saharan Africa that participate in IeDEA. 

Nearly all countries in sub-Saharan Africa (SSA) have adopted the World Health Organization’s recommendation for universal treatment of all persons living with HIV—regardless of CD4+ cell count or clinical stage—known as Treat All. An interactive, web-based data visualization platform, the IeDEA Treat All Dashboard highlights IeDEA data and research related to Treat All in SSA. The aim of the IeDEA Treat All Dashboard is to provide data on temporal trends related to patient enrollment in HIV care, timely treatment initiation, and viral load suppression at sites participating in IeDEA. These data reflect “real world” service delivery data from some of the countries hardest hit by the HIV pandemic. 

The IeDEA Treat All Dashboard allows users to explore the following metrics: 

  • HIV Treatment Outcomes (e.g. timely ART initiation and viral load testing and suppression) by year of HIV care enrollment, and by year of ART initiation. 
  • Trends in HIV Care, including trends in viral load testing and suppression at 6 and 12 months after HIV care enrollment and after ART initiation. 
  • CD4 Count Trends among patients enrolling in HIV care, including the percentage of patients with a CD4 count at enrollment, as well as median CD4 counts at enrollment.

These metrics are displayed for each country and IeDEA region, as well as by, sex and age group. Users can assess the precision of certain estimates with the display of 95% confidence intervals and interquartile ranges. 

The dashboard metrics will be updated as each IeDEA region’s data become available, usually annually. Please note that for some metrics, such as the proportion initiating treatment at different time points in the year after enrollment in HIV care, require 15 months of follow-up to generate, and thus there will be a minimum data lag of 15 months. With time needed for data transfer and processing, lag times will be even longer. 

We hope that the IeDEA Treat All Dashboard will be useful for a broad range of stakeholders, partners and researchers, and encourage you to share it with other colleagues. We welcome any feedback you may have for improving the IeDEA Treat All Dashboard (

For updates, forthcoming announcements, and future blog posts related to Treat All research, please sign-up here and follow us on Twitter.

By |2021-09-22T16:36:07-04:00September 6, 2021|

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