Optimising Global Fund’s Grant Cycle 7

Genesis Analytics, in collaboration with Euro Health Group (EHG), will conduct quantitative secondary data analysis of existing internal and external Global Fund (GF) datasets to identify key data, drivers and barriers related to the Funding Request and Grant-Making (FR-GM) stages for Grant Cycle 7 (GC7). Each dataset will be assessed for its utility, relevance, completeness and quality.

During these processes, our aim is to:

• Assess whether the GC7 FR-GM processes lead to quality grants that are aligned with national priorities and support the delivery of the GF strategy for the period 2023-2028.
• Determine whether procedures of the GC7 FR-GM process are fit for purpose and achieve their intended objectives. Furthermore, we will examine what opportunities there are for improvement, rationalisation and simplification in the process.

Data mapping to relevant key priority steps in the FR-GM GF process will allow for better understanding of the quantitative data available and how it can be used for the analysis. Datasets will be cleaned and processed using STATA v17.0 to ensure that all duplicates have been removed and all variables have been clearly labelled and defined.

Questionnaire data will be explored, quantified and adjusted to be able to conduct quantitative analysis. Critical timelines between FR-GM submissions will be examined against GF recommendations. Quantitative analyses will be carried out on questionnaire data, including modifying Likert scale responses to numerical values for structured analysis. We will also investigate any free-form text data and where possible we will code this data into key themes relevant to the evaluation.