Training on Advanced M&E and Data Management for Health Programs

Module 1: Introduction to Strategic Information in Health Programs

• Need for reliable information in health programs
• Components of strategic information
• Uses of strategic information in planning and service delivery
• Strategic information across the program life cycle
• Decision-making using strategic information
• Case Study: How HIV program data improved treatment coverage decisions
• Practical: Mapping strategic information needs for a health program

Module 2: M&E System Strengthening for Health Programs

• Why M&E system strengthening is important in health
• Use of M&E system strengthening tools
• Contents of M&E strengthening tools
• Assessing gaps in health information systems
• Building sustainable M&E systems
• Case Study: Strengthening routine reporting systems in a county health program
• Practical: Conducting an M&E system capacity assessment

Module 3: Introduction to Monitoring & Evaluation

• Definition of Monitoring and Evaluation
• Importance of M&E in health programs
• Key principles and concepts in M&E
• M&E in the project lifecycle
• Complementary roles of monitoring and evaluation
• Case Study: Poor monitoring leading to delayed health intervention response
• Practical: Identifying monitoring vs evaluation activities

Module 4: M&E Frameworks

• Conceptual frameworks
• Results frameworks
• Logical Framework Analysis (LFA)
• Designing projects using LogFrame
• Linking inputs, outputs, outcomes, and impact
• Case Study: Weak project design causing unclear health outcomes
• Practical: Developing a logframe for a maternal health project

Module 5: M&E Health Indicators

• Indicator selection criteria
• Indicator metrics and definitions
• Linking indicators to results
• Indicator matrix development
• Tracking indicators over time
• Case Study: Poor indicator selection affecting immunization reporting
• Practical: Designing a health indicator matrix

Module 6: M&E Plans in Health Programs

• Importance of an M&E plan
• Documenting M&E systems in the plan
• Components of an M&E plan
• Monitoring and evaluation components
• Using the M&E plan during implementation
• Case Study: Donor reporting delays due to lack of M&E planning
• Practical: Drafting an M&E plan for a health project

Module 7: Data Collection Tools, Gender & Data Quality

• Sources of M&E data: primary and secondary
• Sampling during data collection
• Qualitative, quantitative, and participatory methods
• Introduction to data triangulation
• Gender perspective in health M&E
• Gender-sensitive indicators and disaggregated data
• Importance of data quality in health programs
• Routine Data Quality Assessments (RDQA)
• Data Quality Audits and Assurance
• Case Study: Poor maternal health reporting caused by weak data quality controls
• Practical: Conducting a data quality review and gender analysis

Module 8: Data Analysis in Health Programs

• Qualitative data analysis principles
• Thematic and content analysis using NVivo
• Introduction to SPSS/Stata
• Creating variables and data entry
• Data reconstruction and manipulation
• Descriptive statistics
• Inferential statistics: T-test, ANOVA, regression
• Understanding data weighting
• Case Study: Using survey data to improve health service delivery
• Practical: Running descriptive and inferential analysis

Module 9: Health Programs Evaluation & Data Use

• Determining evaluation points from results frameworks
• Implementation and process evaluations
• Evaluation designs: experimental, quasi-experimental, non-experimental
• Performance evaluation process
• Sharing and dissemination of findings
• Using data to inform policy and programs
• Determinants of data use
• Linking data to action
• Knowledge management for data use
• Case Study: Evaluation findings reshaping a national health campaign
• Practical: Preparing an evaluation utilization plan

Module 10: Use of GIS in M&E for Health Programs

• Benefits of GIS in health programs
• Geographic approaches to global health
• GIS advantages for M&E
• GIS software and data sources
• Health-related GIS data sources
• GIS analysis and mapping techniques
• Disease surveillance and hotspot mapping
• Case Study: GIS mapping used to target malaria interventions
• Practical: Creating a simple health program map and spatial analysis