Overview

Monitoring and Evaluation (M&E) is central to the effectiveness, accountability, and sustainability of health sector programmes. As health systems become more complex and resource-intensive, governments and development partners increasingly demand robust M&E systems that generate credible evidence for decision-making. This course provides hands-on training in Monitoring and Evaluation of health sector programmes, equipping participants with practical skills in M&E frameworks, indicator design, data collection, quality assurance, statistical and qualitative analysis, GIS applications, and evaluation design. The course emphasizes real-world application, enabling participants to design, implement, analyze, and use M&E systems to improve performance, demonstrate results, and inform policy and programming in the health sector.

Target Audience

This course is designed for researchers, M&E officers, project staff, programme managers, policymakers, and development practitioners working in the health sector.

Learning Outcomes / Objectives

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

• Design health sector projects and programmes using logical framework and results-based approaches
• Develop and operationalize comprehensive Monitoring and Evaluation systems for health programmes
• Define, select, and track health indicators across the programme lifecycle
• Collect, manage, and analyze high-quality quantitative and qualitative health data
• Apply statistical, nonparametric, and regression techniques for health programme analysis
• Conduct process, performance, outcome, and impact evaluations of health programmes
• Use M&E evidence to support decision-making, learning, policy formulation, and programme improvement

Duration

5 days

Modules / Course Content

Module 1: Foundations of Monitoring and Evaluation in Health Programmes

• Strategic information systems in health programmes
• Importance and use of reliable data in health decision-making
• Monitoring and Evaluation concepts, principles, and roles
• M&E across the programme lifecycle
• Conceptual, results, and logical frameworks
• Logical Framework Analysis (LFA) for health programme design
• Health indicators: selection, metrics, indicator matrices, and tracking
• Developing and using M&E plans for health programmes

Module 2: Data Collection and Data Quality Management

• Primary and secondary data sources in health programmes
• Sampling techniques for health data collection
• Qualitative, quantitative, and participatory data collection methods
• Data triangulation in Monitoring and Evaluation
• Data quality dimensions and standards
• Routine Data Quality Assessments (RDQA)
• Data quality audits and assurance mechanisms

Module 3: Data Management and Statistical Analysis Using Stata

• Introduction to statistics for health M&E
• Stata interface, data structures, and variable types
• Data cleaning, management, and output handling
• Descriptive statistics for quantitative and qualitative data
• Data visualization and graphics using Stata
• Correlation analysis and subgroup analysis
• Chi-square tests and contingency table analysis
• Comparing means: t-tests, ANOVA, and factorial ANOVA

Module 4: Advanced Analysis, GIS, and Evidence Generation

• Regression analysis: linear, logistic, multinomial, ordered, and Poisson models
• Assumptions and interpretation of regression outputs
• Nonparametric statistical methods in health research
• Introduction to GIS in Monitoring and Evaluation
• GIS applications for health programme planning and evaluation
• Health-related GIS data sources, mapping, and spatial analysis

Module 5: Evaluation, Qualitative Analysis, and Data Use

• Qualitative data analysis principles and techniques
• Thematic and content analysis using NVivo
• Integrating quantitative and qualitative M&E data
• Health programme evaluation types and designs
• Experimental, quasi-experimental, and non-experimental evaluations
• Performance and process evaluations
• Dissemination and communication of evaluation findings
• Promoting data demand and use for policy and programme improvement
• Knowledge management and learning in health M&E systems

Training Methodology

The course will employ a hands-on, practical approach to ensure participants develop both conceptual understanding and technical proficiency. Each module will integrate interactive lectures, guided software demonstrations, and individual or group exercises based on real-world illustrations. Participants will receive continuous feedback and personalized coaching to reinforce learning. By the end of the training, they will have completed a mini project that demonstrates their ability to apply the acquired skills in a practical context.

More Details

Upon successful completion of this course, participants will be issued a certificate.