Monitoring and evaluation systems strengthening tool

Monitoring and evaluation systems strengthening tool

A tool for assessing strengths and weaknesses of M&E systems

National governments and donors are working to fight many diseases, including HIV/AIDS, tuberculosis and malaria, and to make improvements in a number of health areas. As national programmes and associated projects to support these programmes grow, accountability for funding and results reported is becoming increasingly important. This publication provides an monitoring and evaluation (M&E) systems strengthening tool which can help all reporting entities under government programmes and donor projects to assess the strengths and weaknesses of their M&E systems, including data collection and reporting, and highlighting areas for improvement that might require additional focus, funds and/or technical assistance.

This tool comprises three complementary checklists designed to comprehensively assess both the programme and projects’ abilities to collect, analyze, use and report accurate, valuable and high-quality M&E data. Each checklist contains a list of questions to perform the diagnosis, and a template for developing a costed action plan for strengthening M&E systems. They are contained in Microsoft Excel spreadsheets, which include instructions on how to complete them and which stakeholders should be involved. The following checklists are provided:

  • assessing the M&E plan: This Checklist looks at the goals and objectives of Programs and projects and how they relate to a country’s national strategy and M&E Plan, if they exist
  • assessing data management capacities of the program/projects’ management units: This Checklist assesses the data management systems of the management units of national Programs or donor funded projects
  • assessing data reporting systems per program area: This Checklist assesses the strengths of Programs’ and projects’ data-collection and reporting systems per Program area, including the ability to report valid, accurate, and high-quality data related to implementation