There is currently a dearth of TB cost data for specific countries and interventions to enable policy decisions. This is preventing both National TB Programmes and global organisations like the Global Fund for AIDS, TB and Malaria from allocating their resources in an efficient and fair way. In particular, there has been a number of resource allocation models developed in the past years, that currently are not providing sound estimates of the cost-effectiveness of TB investments, due to the data scarcity. The overall aim of this project is to generate unit cost data from five settings on TB diagnosis, treatment and prevention. The specific objectives are: [1] To estimate the resource requirements of TB programs through collection and analysis of consistent and comparable data; [2] To make these data available to modellers, policy-makers, and other stakeholders to enable policy decisions and modelling of country costs. This work supplements the work by the Global Health Cost Consortium (GHCC) and the TB Modelling Consortium (TB-MAC).

The datasets associated with this project are still in development and will be made available at a later date.