Monitoring & Evaluation for Public Health and Community Programs Course

Introduction

Monitoring and Evaluation (M&E) is a critical function in public health and community programs, ensuring that interventions are effective, efficient, and aligned with desired health outcomes. In an era where accountability and evidence-based decision-making are essential, strong M&E systems help governments, NGOs, and development partners measure progress and improve health service delivery.

This course provides participants with a comprehensive understanding of M&E principles applied specifically to public health and community programs. It explores how to design robust monitoring systems, develop indicators, and evaluate health interventions to ensure that resources are used effectively and that programs achieve intended results.

Participants will learn how to integrate M&E frameworks such as Results-Based Management and Theory of Change into public health programs. These frameworks help in defining clear pathways from inputs to outcomes and impact, ensuring that health interventions are measurable, trackable, and aligned with national and global health priorities.

A strong focus is placed on health data systems, including routine health information systems, community-based reporting structures, and digital health tools. Participants will gain practical skills in collecting, managing, and analyzing health data to support timely decision-making and improve health outcomes at community and institutional levels.

The course also emphasizes the importance of data quality, ethical considerations, and participatory approaches in health M&E systems. Participants will learn how to ensure accuracy, reliability, and inclusivity in health data collection while engaging communities and stakeholders in the monitoring process.

By the end of the course, participants will be equipped with the technical and analytical skills required to design, implement, and manage effective M&E systems in public health and community programs, ultimately strengthening health systems and improving population well-being.

Who Should Attend

• Public Health Officers and Practitioners
• Monitoring and Evaluation Officers in health sectors
• NGO and CSO health program managers
• Community Health Workers and Supervisors
• Epidemiologists and Disease Surveillance Officers
• Health Information System Officers (HMIS staff)
• Donor and Development Agency health program staff
• Hospital and Clinic Administrators
• Health Research and Data Analysts
• Policy Makers and Health Planners
• Community Development Officers working in health programs

Duration

5 Days

Course Objectives

• Equip participants with advanced knowledge and practical skills to design, implement, and manage Monitoring and Evaluation systems specifically tailored for public health and community-based programs effectively.
• Strengthen participants’ ability to develop, track, and analyze health indicators that measure inputs, outputs, outcomes, and impact across diverse public health interventions.
• Build capacity to design and implement health data collection systems using both routine health information systems and community-based reporting mechanisms.
• Enhance participants’ understanding of epidemiological principles and their application in monitoring disease trends, outbreaks, and public health program effectiveness.
• Develop skills in applying Results-Based Management and Theory of Change frameworks to improve planning, implementation, and evaluation of health programs.
• Improve participants’ ability to collect, clean, and analyze health data using quantitative and qualitative methods for accurate decision-making and reporting.
• Strengthen competence in data quality assurance techniques to ensure accuracy, consistency, and reliability of health program data and reporting systems.
• Equip participants with skills to design effective health surveys, surveillance systems, and community feedback mechanisms for improved program responsiveness.
• Enhance participants’ ability to communicate health findings through reports, dashboards, and visual tools tailored for policymakers, donors, and community stakeholders.
• Build capacity to integrate digital health innovations, mobile technologies, and real-time data systems into modern public health M&E frameworks for improved efficiency.

Comprehensive Course Outline

Module 1: Introduction to Public Health M&E

• Concepts and evolution of M&E in public health
• Importance of evidence-based health programming
• Key M&E frameworks in health systems
• Linking M&E to health policy and outcomes

Module 2: Results-Based Management in Health Programs

• RBM principles in public health
• Developing results frameworks
• Linking activities to outcomes and impact
• Performance tracking systems

Module 3: Health Indicators and Measurement Systems

• Designing SMART health indicators
• Indicator classification and selection
• Tracking health performance metrics
• Data disaggregation for equity

Module 4: Health Information Systems (HMIS)

• Structure of HMIS systems
• Routine data collection and reporting
• Data flow in health systems
• Integration of community data

Module 5: Epidemiology for M&E

• Basic epidemiological concepts
• Disease surveillance systems
• Outbreak detection and response
• Trend and pattern analysis

Module 6: Data Collection Methods in Health

• Quantitative and qualitative approaches
• Household and facility surveys
• Community-based data collection
• Digital and mobile data tools

Module 7: Data Quality Assurance

• Data validation and verification
• Routine data quality audits
• Reducing errors and bias
• Strengthening data systems

Module 8: Health Program Evaluation

• Process, outcome, and impact evaluation
• Evaluation designs and methodologies
• Ethical considerations in health evaluation
• Cost-effectiveness analysis

Module 9: Data Analysis and Reporting

• Statistical analysis of health data
• Visualization and dashboards
• Writing M&E reports
• Communicating findings effectively

Module 10: Emerging Trends in Health M&E

• Digital health and e-health systems
• Artificial intelligence in health analytics
• Real-time monitoring systems
• Big data and predictive health analytics

Training Approach

The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

Certification

Upon successful completion of the training, participants will be awarded a certificate of completion by Steady Development Center.

Training Venue

The training will be held online. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, tutorials and all required training manuals. Any other personal expenses are catered by the participant.
For registration and further enquiries, contact us on:

• Tel: +254 701 180 097
• Email: training@steadytrainingcenter.com

Tailor-Made Option

This course can be customized to suit the specific needs of your organization and be delivered on-line to any convenient location.

Terms Of Payment

Upon agreement by both parties’ payment should be made to Steady Development Center’s official account at least 3 working days before training begins to facilitate adequate preparation.

Our Upcoming Training Schedule