Module summary

Let’s review what we covered in this module.

Data interpretation

Data interpretation is a process that aims to:

• understand what the HHFA data mean within the country context;
• explore the reasons behind the findings.

Data interpretation cycle

Data interpretation is an iterative cycle that consists of the following stages:

• data review;
• use of contextual information;
• data triangulation;
• consultation with experts;
• further data analysis.

Goal of HHFA data interpretation

The goal of the HHFA interpretation process is to identify the main health facility service issues revealed by the survey and their explanations.

This will lead to the conclusions, the identification of priorities, and the recommendations that will form the basis of the main HHFA report.

This information must then be communicated to decision-makers and other stakeholders that can use the data to improve health services.

For more details on data interpretation perspectives and an interpretation checklist, download the following PDFs:

HHFA data interpretation perspectives: comprehensive and specific

Data interpretation checklist