Allocative Efficiency Tools Fit-For-Purpose Assessment
Mathematical modeling has become a powerful tool to support allocative efficiency analyses. It is an essential step to assist in the selection process of programme interventions that can achieve maximum health impact within a given budget. Today, a wide range of programmatic and allocative efficiency research tools that use mathematical modelling as the basic analytical tool are available. As such, the HIV Modelling Consortium convened a workshop to discuss and review current approaches used by different tools for allocative efficiency analysis.Three models that integrate both impact and cost data to inform decision-making based on allocative efficiency considerations within HIV programmes were included in the meeting: Goals, AIDS Epidemic Model (AEM), and Optima.
Aim of the workshop
To provide an opportunity for developers of AE tools (AEM, Goals, Optima), to discuss and review the technical characteristics of their models, as well as the different approaches taken by models to address specific HIV policy questions. The discussion focused specifically on the technical description of the epidemiological and financial frameworks of each model used, including data requirements, country examples, and limitations of the model.