Triangulating Immunization Program and Supply Data: Lessons Learned from Ethiopia on Establishing a Data Triangulation Process for Improved Decision Making

Strengthening data use and quality is critical to achieving high equitable immunization coverage. One approach that is being increasingly recognized as effective in improving data use and quality is data triangulation, which synthesizes two or more data sources to generate more informed decision-making for immunization program improvement.

In Ethiopia, JSI, through the Universal Immunization through Improving Family Health Services (UI-FHS) project, introduced a data review process and an Excel tool for triangulating immunization program data and vaccine supply data to improve data quality and programmatic decision making. The Immunization Data Triangulation Tool (IDTT) highlights challenges, provides decision-support information, and suggests follow-up actions.