Introduction

Health Program Evaluation is a critical pillar in strengthening public health systems, improving health outcomes, and ensuring evidence-based decision-making in both public and private healthcare sectors. In an era defined by global health security, data-driven programming, and results-based management (RBM), organizations are increasingly required to demonstrate the effectiveness, efficiency, and impact of their health interventions. Health Program Evaluation Training Course equips participants with advanced competencies in monitoring and evaluation (M&E), impact assessment, and health systems strengthening, enabling them to design, implement, and assess high-quality health programs using internationally recognized frameworks.

The course integrates modern approaches such as digital health analytics, real-time data systems, performance indicators, and logic models to ensure that health interventions are not only implemented but also rigorously evaluated for sustainability and scalability. Participants will gain hands-on experience in data collection methodologies, epidemiological analysis, statistical interpretation, and program optimization strategies. By the end of the course, learners will be able to transform raw health data into actionable insights that drive policy formulation, funding accountability, and community health impact.

Programme Curriculum

Health Program Evaluation Training Course

Introduction

Course Duration

10 days

Course Objectives

Master Health Program Evaluation frameworks and global standards
Apply Monitoring & Evaluation (M&E) systems in real-world health programs
Design effective Logical Frameworks (LogFrame) and theory of change models
Develop and track Key Performance Indicators (KPIs) in health interventions
Conduct advanced health data analytics and interpretation
Strengthen skills in epidemiological evaluation methods
Implement results-based management (RBM) in health projects
Utilize digital health information systems (DHIS2 & eHealth tools)
Perform impact assessment and outcome evaluation
Enhance data quality assurance and validation techniques
Build capacity in public health research methodologies
Integrate evidence-based decision-making in healthcare programs
Improve health system performance measurement and accountability

Target Audience

Public Health Officers
Monitoring & Evaluation Specialists
NGO & Development Program Managers
Healthcare Administrators
Epidemiologists and Biostatisticians
Ministry of Health Policy Makers
Donor Agency Program Officers
Research Scientists & Health Data Analysts

Course Modules

Module 1: Foundations of Health Program Evaluation

Concepts of evaluation in public health
Types of evaluation: formative, process, outcome
Evaluation standards and frameworks
Role of stakeholders in evaluation
Case Study: Evaluation of immunization program coverage in rural clinics

Module 2: Monitoring & Evaluation Systems

M&E system design principles
Indicators development
Data flow structures
Feedback mechanisms
Case Study: HIV program M&E system in sub-Saharan Africa

Module 3: Logical Framework Approach (LogFrame)

Inputs, outputs, outcomes, impact structure
Theory of change mapping
Risk assumptions analysis
Indicator alignment
Case Study: Malaria elimination project LogFrame design

Module 4: Key Performance Indicators (KPIs)

SMART indicators development
Health performance metrics
Indicator tracking systems
Data visualization techniques
Case Study: Maternal health KPI tracking system in hospitals

Module 5: Epidemiology for Evaluation

Disease surveillance systems
Incidence and prevalence analysis
Study designs in public health
Outbreak investigation methods
Case Study: Cholera outbreak response evaluation

Module 6: Data Collection Methods

Quantitative vs qualitative methods
Surveys and questionnaires
Interviews and focus groups
Mobile data collection tools
Case Study: Community health survey for nutrition programs

Module 7: Health Data Management Systems

DHIS2 architecture and usage
Data entry and validation
Data security and governance
Reporting dashboards
Case Study: National health information system implementation

Module 8: Statistical Analysis in Health Evaluation

Descriptive and inferential statistics
Regression and correlation analysis
Hypothesis testing
Data interpretation techniques
Case Study: Vaccine effectiveness statistical evaluation

Module 9: Impact Assessment Methods

Causal inference approaches
Baseline and endline studies
Quasi-experimental designs
Counterfactual analysis
Case Study: Impact of HIV awareness campaigns

Module 10: Quality Assurance in Health Data

Data quality dimensions
Error detection methods
Validation frameworks
Audit systems
Case Study: Improving hospital reporting accuracy

Module 11: Health Economics in Evaluation

Cost-effectiveness analysis
Cost-benefit analysis
Resource allocation models
Efficiency measurement
Case Study: Evaluation of universal health coverage program

Module 12: Results-Based Management (RBM)

RBM cycle and principles
Performance tracking systems
Accountability frameworks
Results reporting
Case Study: Donor-funded malaria control program

Module 13: Digital Health & eHealth Evaluation

Mobile health applications
Telemedicine evaluation
AI in health analytics
Digital dashboards
Case Study: Telehealth adoption in rural healthcare

Module 14: Reporting & Data Visualization

Dashboard design principles
Storytelling with data
Policy report writing
Visualization tools (Excel, Power BI)
Case Study: National health performance dashboard

Module 15: Capstone Health Program Evaluation Project

Integrated evaluation design
Field or simulated project execution
Stakeholder presentation
Policy recommendation drafting
Case Study: Comprehensive evaluation of a national vaccination campaign

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Impact assessment Program monitoring Data analysis Outcome evaluation

Programme Fee

Duration: 10 Days

Method: Online or Physical

Online Price: $2,000

Physical Price: $3,000

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $2,000