Session (CTI)

PURPOSE: The objectives of this session are to introduce the concept and methodology of meta-analysis of economic evaluations (MAEE), to demonstrate the application of MAEE using a relevant case study, to discuss existing gaps and methodological challenges, and to engage the audience in a discussion on how the proposed MAEE method can improve future healthcare decision-making by addressing existing gaps and challenges. DESCRIPTION: Evidence from economic evaluation studies (EEs) is crucial for informing health policy decisions. Meta-analysing EEs (MAEE) can summarize the evidence quantitatively, and may support clear policy recommendations, facilitating decision-making especially in resource-limited countries where context-specific EEs are unavailable. A novel method for MAEE has been recently developed and applied in several therapeutic areas. However, data preparation for MAEE can be challenging due to inconsistent reporting of parameters and multiple sources of heterogeneity in EEs. This session will start with an introduction to the overall concept. A step-by-step process for extracting data from EEs and preparing it for meta-analysis will be discussed (15 minutes, Nathorn). In the next section, a case study of GLP1-RA and obesity will be presented demonstrating how MAEE can help policymakers make informed decisions (10 minutes, Teerapon). This will be followed by a discussion of existing gaps and challenges, as well as proposed future mechanisms to address them, as endorsed by the recent Immunization and Vaccine-related Implementation Research Advisory Committee (March 2024) (10 minutes, Sajesh). The session will conclude with audience participation to identify their perceptions, the demand for its application, and any additional challenges, along with proposed mechanisms to address them (25 minutes, Nathorn). This session may offer value to stakeholders seeking to generate economic evidence that can inform decision-making in the absence of context-specific data.