M&E for Health & Social Programs Training Course

This course equips participants with the knowledge and practical skills required to design, implement, and manage monitoring and evaluation (M&E) systems for health and social programs. It focuses on results-based management, indicator development, health and social data systems, impact measurement, reporting, and evidence-based decision-making. Participants will learn how to track program performance, improve service delivery, and evaluate outcomes in health and social development interventions.

Target Groups

• Monitoring and evaluation officers
• Public health and social program managers
• NGO and donor-funded project staff
• Health information and data officers
• Community development practitioners
• Government health and social service officers
• Researchers and policy analysts
• Students and professionals in public health, social sciences, and development studies

Course Objectives

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

• Understand principles of M&E in health and social programs
• Design M&E frameworks for health and development interventions
• Develop indicators for measuring program performance and impact
• Collect, analyze, and interpret health and social data
• Strengthen reporting and accountability systems
• Apply qualitative and quantitative evaluation methods
• Monitor service delivery and program effectiveness
• Support evidence-based planning and policy decisions
• Improve data quality and information management systems
• Evaluate outcomes and sustainability of interventions

Course Modules

Module 1: Introduction to M&E for Health and Social Programs

• Overview of monitoring and evaluation concepts
• Importance of M&E in health and social development
• Results-based management approaches
• Types of health and social programs
• Role of M&E in accountability and learning

Module 2: Designing M&E Frameworks

• Logical frameworks and theory of change
• Developing M&E plans and matrices
• Linking activities, outputs, outcomes, and impact
• Setting baselines and targets
• Aligning M&E systems with program objectives

Module 3: Indicator Development and Performance Measurement

• Types of indicators in health and social programs
• SMART indicator development
• Health service delivery indicators
• Social impact and community wellbeing indicators
• KPI tracking and performance monitoring systems

Module 4: Data Collection Methods and Systems

• Quantitative and qualitative data collection methods
• Surveys, interviews, and focus groups
• Routine health information systems
• Digital and mobile data collection tools
• Ethical considerations in health and social data collection

Module 5: Data Quality Management and Validation

• Data quality dimensions and standards
• Verification and validation techniques
• Managing incomplete and inconsistent data
• Data cleaning and storage processes
• Establishing quality assurance protocols

Module 6: Data Analysis and Interpretation

• Descriptive and inferential analysis techniques
• Trend and comparative analysis
• Qualitative data coding and thematic analysis
• Interpretation of health and social indicators
• Translating findings into actionable insights

Module 7: Evaluation of Health and Social Programs

• Mid-term and end-term evaluations
• Impact and outcome assessment methods
• Cost-effectiveness and efficiency analysis
• Beneficiary satisfaction and service quality evaluation
• Sustainability assessment approaches

Module 8: Reporting and Use of Findings

• Preparing technical and donor reports
• Data visualization and dashboard design
• Communicating findings to stakeholders
• Feedback and learning systems
• Using evidence for program improvement and policy development

Module 9: Tools and Technologies for M&E

• Health information management systems
• Digital M&E and reporting platforms
• Data visualization and dashboard tools
• Mobile and cloud-based data systems
• Using DHIS2 for health data reporting, indicator tracking, and program performance monitoring

Module 10: Capstone Project and Case Studies

• End-to-end M&E framework development for a health or social program
• Case studies on health and community development interventions
• Group exercises on indicator design and evaluation planning
• Simulation of program monitoring and reporting scenarios
• Emerging trends in health and social program M&E, including AI-assisted health analytics, predictive public health monitoring, real-time reporting systems, integrated digital health platforms, and adaptive learning-based evaluation systems