Training on Advanced Monitoring and Evaluation and Data Management for Health Programs

Effective health programs depend on robust Monitoring and Evaluation (M&E) systems and strong data management practices to ensure accountability, efficiency, and improved health outcomes. As health systems become increasingly data-driven, professionals must be equipped with advanced analytical skills and digital tools to manage and interpret complex datasets.

This course provides participants with advanced skills in M&E and data management for health programs, focusing on designing comprehensive M&E systems, managing large datasets, applying digital health tools, and using advanced analytics for evidence-based decision-making.

Participants will engage with real-world case studies from global health interventions, enabling them to translate theory into practice, strengthen program performance, and generate actionable insights that drive health system improvements and impact.

Duration

5 Days

Who Should Attend

• Health program managers and coordinators
• M&E officers and specialists in health projects
• Public health researchers and analysts
• Data managers in NGOs, ministries of health, and donor-funded projects
• Professionals in global health organizations, UN agencies, and health-focused NGOs

Organizational Impact

• Strengthened health program accountability and donor compliance.

• Improved use of data for strategic health decision-making.

• More efficient and impactful health interventions.

Personal Impact

• Advanced expertise in health-focused M&E and data analytics.

• Skills to design and manage digital health data systems.

• Enhanced ability to translate data into evidence-based strategies.

By the end of this training, participants will be able to:

• Design advanced M&E frameworks tailored for health programs.

• Apply digital tools and databases for efficient health data management.

• Use advanced data analysis for performance monitoring and impact evaluation.

• Address data quality, integrity, and ethical issues in health M&E.

• Generate evidence-based reports to influence policy and program improvement.

Module 1: Advanced Health M&E Frameworks

• Designing theory of change and results chains for health.
• Aligning with SDG 3 (Good Health & Well-being) and donor indicators.
• Case Study: M&E system design for a maternal health program.

Module 2: Health Data Management Systems

• Data sources: facility-based, surveys, digital health records.
• Introduction to DHIS2, OpenMRS, and other digital tools.
• Case Study: Use of DHIS2 in national immunization tracking.

Module 3: Data Quality & Ethical Considerations

• Data integrity, validation, and ethical standards.
• Confidentiality in HIV/AIDS and sensitive health data.
• Case Study: Managing confidentiality breaches in TB data collection.

Module 4: Advanced Data Analysis & Visualization

• Using Excel, SPSS, STATA, and Power BI for health data.
• Dashboards for decision-making.
• Case Study: Analyzing COVID-19 patient data for resource planning.

Module 5: Reporting, Learning, and Evidence-Based Decision-Making

• Turning data into insights for policy and practice.
• Writing donor-compliant reports and health policy briefs.
• Case Study: Evaluation report shaping malaria control strategies.