Monitoring & Evaluation in HIV Programs

Course Overview

Effective monitoring and evaluation systems are essential infrastructure for HIV programs, enabling evidence-based decision making, accountability to funders and beneficiaries, and continuous quality improvement. This course provides structured training in M&E frameworks specific to HIV prevention, treatment, and care programs.

Content examines the full M&E cycle from indicator selection through data collection, analysis, interpretation, and use. The course addresses both facility-level monitoring and program-level evaluation, with attention to health information systems, data quality assurance, and the translation of data into programmatic action.

Learning Objectives

• Understand M&E frameworks and their application to HIV programs
• Select appropriate indicators for different program components and evaluation questions
• Design data collection systems that balance information needs with feasibility
• Implement data quality assurance processes and interpret quality metrics
• Analyze programmatic data and identify trends requiring programmatic response
• Communicate M&E findings to diverse stakeholders

Course Content

Module 1: M&E Foundations and Frameworks

Introduction to monitoring and evaluation concepts, distinguishing between various types of evaluation and their appropriate application. The module presents logic models and results frameworks as tools for program planning and M&E system design.

Module 2: Indicator Selection and Definition

Systematic approach to indicator selection, examining the cascade of HIV services and identifying appropriate indicators at each stage. Content addresses standardized indicator definitions, numerators and denominators, and alignment with national and international reporting requirements.

Module 3: Data Systems and Quality Assurance

Examination of health information systems including electronic medical records, paper-based registers, and national HMIS platforms. The module addresses data flow, routine data quality assessment methods, and strategies for improving data completeness and accuracy.

Module 4: Analysis, Interpretation, and Use

Methods for analyzing programmatic data including trend analysis, geographic disaggregation, and identification of program performance gaps. The module emphasizes data use for program improvement and presents frameworks for translating M&E findings into actionable recommendations.

Last updated: January 2026 | Course ID: IAS-ME-002