Monitoring & Evaluation of Health projects Training

The purpose of this short course is to equip/impart participants with knowledge and skills to enable them to develop and apply practical methods, tools and approaches for result based monitoring and evaluation systems for their projects, programs and institutions using Information management systems. The ‘Monitoring and Evaluation (M&E) Certification’ training program is a comprehensive course that covers the processes and implementation of a Results-based Monitoring and Evaluation system for donor funded projects. This course endows participants with competences in setting up and implementing results-based monitoring and evaluation systems involving data management, analysis, and reporting.
Course Objectives
Program Managers and officers attending the M&E workshop will get hands on skills in the following areas;
✓ Project Initiation, Planning, Implementation Monitoring and Evaluation
✓ Designing project using logical frameworks
✓ Use indicators and targets to measure success
✓ Monitor and track performance indicators over the life of the project
✓ Designing M&E Plan Developing M&E systems
✓ Formulating Result based M&E
✓ Develop a comprehensive monitoring and evaluation plan
✓ Monitoring tools, methods and procedures
✓ Performance tracking / monitoring and evaluation Monitoring & Evaluation specialized M&E System
✓ Applications of MIS Management information system tools Information access and governmental transparency Application of MIS in developmental evaluation
✓ Application of Geographical Information System (GIS) in projects
✓ Data collection and analysis
✓ Utilize data analysis software
✓ Use of project management information software (PMIS)
✓ (Baseline, Mid- term, Summative and Ex-post evaluations.)
✓ How to monitor compliance and audit the function
Who Should Attend?
The course is recommended for the following; Departmental heads
✓ Project or Departmental managers Project officers
✓ Staffs involved in making informed decision
✓ Anyone involved in development projects
✓ Anyone who aspires to be a good manager
✓ M&E Consultants
Training Main Modules
✓ Demonstrate understanding of key terminologies in Monitoring and Evaluation
✓ Fundamentals of Results-Based Management
✓ Why is RBM important?
✓ Results based management vs traditional projects management
✓ RBM Lifecycle (seven phases)
✓ Areas of focus of RBM
Project Analysis
✓ Situation Analysis
✓ Needs Assessment
✓ Strategy Analysis
Designing indicators
✓ Indicators definition
✓ Indicator metrics
✓ Linking indicators to results
✓ Indicator matrix
✓ Tracking of indicator
✓ Designing indicators reference sheets (IRS)
Logical Framework Approach
✓ LFA – Analysis and Planning phase
✓ Design of log frame
✓ Risk rating in log frame
✓ Horizontal and vertical logic in log frame
✓ Using log frame to create Activity and Budget schedules
✓ Using log frame as a project management tool
✓ Explain the role of M&E in institutional management
✓ Integrate M&E in the project management
✓ Impact, outcomes, outputs and activities
✓ Results framework
✓ M&E causal pathway
✓ Standards in planning, monitoring and evaluating for results
✓ Develop and implement key components of an M&E system
✓ Develop and implement performance plans
✓ Apply cost management approaches
✓ Use project management information software
✓ Communicate M&E results effectively
Discourse on Theory of change
✓ Overview of theory of change
✓ Developing a theory of change
✓ Theory of Change vs Log Frame
✓ Case study: Theory of change
M&E Planning
✓ Importance of an M&E Plan
✓ Documenting M&E System in the M&E Plan
✓ M&E Plan:
✓ M&E plan vs Performance Management Plan (PMP)
Conducting Baseline Surveys in RBM
✓ Importance of baseline studies
✓ Process of conducting baseline studies
✓ Baseline study vs evaluation
Project Performance Evaluation
✓ Process and progress evaluations
✓ Evaluation research design
✓ Evaluation questions
✓ Evaluation report Dissemination
M&E Data Management
✓ Different sources of M&E data
✓ Qualitative data collection methods
✓ Quantitative data collection methods
✓ Participatory methods of data collection
✓ Data Quality Assessment
Data Quality
✓ What is data quality?
✓ Why data quality?
✓ Data quality standards
✓ Data flow and data quality
✓ Data Quality Assessments
✓ M&E system design for data quality
M&E Results use and dissemination
✓ Stakeholder’s information needs
✓ Usage of M&E results to enhance and boost projects
✓ M&E lessons learnt and best practices
✓ Organization knowledge champions
✓ M&E reporting format
✓ M&E results in communication strategies
Gender perspective in M&E
✓ Importance of gender in M&E
✓ Integrating gender into program logic
✓ Setting gender-sensitive indicators
✓ Collecting gender-disaggregated data
✓ Analyzing M&E data from a gender perspective
✓ Appraisal of projects from a gender perspective
Impact Assessment
✓ Introduction to impact evaluation
✓ Attribution in impact evaluation
✓ Estimation of counterfactual
✓ Impact evaluation methods: Double difference, Propensity score matching
Data Collection Tools and Techniques
✓ Sources of M&E data – primary and secondary
✓ Sampling during data collection
✓ Qualitative data collection methods
✓ Quantitative data collection methods
✓ Participatory data collection methods
✓ Introduction to data triangulation
ICT in Monitoring and Evaluation
✓ Mobile-based data collection using ODK
✓ Data visualization – infographics and dashboards
✓ Using the latest tools and technologies for real-time monitoring and evaluation
Qualitative Data Analysis
✓ Principles of qualitative data analysis
✓ Data preparation for qualitative analysis
✓ Linking and integrating multiple data sets in different forms
✓ Thematic analysis for qualitative data
✓ Content analysis for qualitative data
✓ Manipulation and analysis of data using NVivo
Quantitative Data Analysis – (using SPSS/STATA)
✓ Introduction to statistical concepts
✓ Creating variables and data entry
✓ Data reconstruction
✓ Variables manipulation
✓ Descriptive statistics
✓ Understanding data weighting
✓ Inferential statistics: hypothesis testing, T-test, ANOVA, regression analysis
Geographic Information Systems (GIS) in M&E
✓ Introduction to GIS in M&E
✓ Application of (GIS)
✓ GIS analysis and mapping techniques
✓ Data preparation for geospatial analysis
✓ Geospatial analysis using GIS software (QGIS)
M&E Consultancies
✓ Set up and implement M&E consultancies
✓ Engaging in M&E Consultancies.
Way forward After the Training
Participants will develop a work plan through the help of facilitators that stipulates application of skills acquired in improving their organizations. ASPM will monitor implementation progress after the training.
Training Evaluation:
Participants will undertake a simple assessment before the training to gauge project monitoring & Evaluation knowledge, another assessment will be done after the training in-order to demonstrate knowledge gained through the training.