Optimizing Childhood TB Treatment Decision Algorithms in sub-Saharan Africa (OPTIC-TB)
Every year, about a million children under 15 years are diagnosed with Tuberculosis (TB) worldwide, and about a quarter die. However, over 60% of children with TB remain undiagnosed, particularly in sub-Saharan Africa, which accounts for about 20% of the global burden of paediatric TB cases. Challenges in specimen collection in young children, which often require trained and experienced staff, difficulty in diagnosis, the perceived low risk of transmission and the lack of laboratory infrastructure contribute to low TB detection in children in this region.

Main content
Summary of the project
In 2022, the World Health Organization (WHO) issued an interim recommendation to use integrated Treatment-Decision Algorithms (TDAs) to diagnose TB in children under ten years. However, this recommendation was based on very low certainty of evidence. Therefore, our project, which will be conducted in Tanzania, Uganda and DR. Congo aims to address four objectives:
- To compare the effectiveness of TDAs and the Standard of Care in routine clinical settings
- To identify processes and contextual factors that influence the effectiveness and fidelity in the implementation of TDAs
- To compare the costs, cost-effectiveness and the population-level impact of TDA strategies on the burden of TB
- To validate the diagnostic performance (sensitivity, specificity, negative and positive predictive values) of the TDAs in various health system settings and clinical constext

The project is supported by the EDCTP3 and its members.
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Horizon Europe/EDCTP3. Neither the European Union nor the granting authority can be held responsible for them.