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Training on Advanced M&E and Data Management for Health Programs (August 13, 2018 - August 24, 2018)

About the course

Monitoring and Evaluation helps in collecting, analyzing and transforming health data into strategic information for informed decision making, improved effectiveness and enhanced advocacy in health programs. M&E will help to ensure that health programs are implemented as planned and to assess whether desired results are being achieved.

This course aims to build the capacity of M&E professionals working in the health sector. The acquired M&E skills will assist the participants to improve health program planning and performance management and enhance the institutionalization of the collection of health-related data and the analysis of program impact. The main topics covered include the development of monitoring and evaluation for population, health and nutrition interventions (e.g. HIV and AIDS, STDs, TB, maternal health, family planning, child health and reproductive health).

Target Participants

This course is designed for researchers, project staff, development practitioners, managers and decision makers who are responsible for project, program or organization-level M&E in the Health sector.

Course duration

10 days

What you will learn

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

Understand monitoring and evaluation (M&E) of health programs

Design a health project using logical framework
Develop indicators and targets for each result level
Track performance indicators over the life of the project
Evaluation a health project against the set results
Gain quantitative and qualitative skills for data collection and analysis of health programs
Carryout Data quality assessment and improvement of health programs
Analyze health data spatially using GIS
Course Outline

Introduction to Strategic Information in Health Programs

Need for reliable information in health programs
Components of strategic information
Uses of strategic information
Strategic information and program life cycle
Decision making using strategic information
M&E System Strengthening for Health Programs

Why M&E System strengthening in health?
Use of M&E System strengthening tool
Content of M&E System strengthening tool
Introduction to M&E

Definition of Monitoring and Evaluation
Why Monitoring and Evaluation is important
Key principles and concepts in M&E
M&E in project lifecycle
Complementary roles of Monitoring and Evaluation
M&E Frameworks

Conceptual Frameworks
Results Frameworks
Logical Framework Analysis (LFA)
LogFrame - Design of projects using LogFrame
M&E Health Indicators

Indicators selection
Indicator metrics
Linking indicators to results
Indicator matrix
Tracking of indicators
M&E Plans in Health Programs

Importance of an M&E Plan
Documenting M&E System in the M&E Plan
Components of M&E Plan-Monitoring and Evaluation components
Using M&E Plan to implement M&E in a Project
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
Gender Perspective in M&E for Health Programs

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
Issues with integrating gender into M&E
Data Quality in health programs

Importance of data quality in health programs
Data quality elements
Routine Data Quality Assessments
Data Quality Audit
Data Quality Assurance
Qualitative Data Analysis in Health Programs

Principles of qualitative data analysis
Data preparation for qualitative analysis
Linking and integrating multiple data sets in different forms
Thematic and content analysis for qualitative data
Manipulation and analysis of data using NVivo
Quantitative Data Analysis in Health Programs – (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
Health Programs Evaluation

Determining evaluation points from results framework
Components of evaluations: implementation and process evaluations.
Evaluation designs- experimental, quasi-experimental and non-experimental
Performance evaluation process
Evaluation findings sharing and dissemination
Data Demand and Use for Health Programs

Using data to inform Policies and Programs
Determinants of Data Use
Understanding Data and Information Flow
Linking Data to Action
Knowledge management for data use in health programs
Use of GIS in M&E for Health Programs

Benefits of using GIS in health programs
Geographic approaches to global health
GIS advantages for M&E in Health
Using GIS software and data
GIS data sources health related issues
GIS analysis and mapping techniques
Training Approach

This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.

Training manuals and additional reference materials are provided to the participants.


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

Tailor-Made Course

We can also do this as tailor-made course to meet organization-wide needs. Contact us to find out more:

Training venue

The training will be conducted at Devimpact Institute Training Centre, Nairobi Kenya.


The training fee covers tuition fees, learning materials, and training venue. Accommodation and airport transfer are arranged for our participants upon request.


Country: Kenya