Training On Monitoring and Evaluation & Data Management in the Health Sector

Monitoring and Evaluation in the health sector have become essential components in the health programs. M&E helps in collection, analysis and transformation of health data into strategic information necessary for informed decision making, enhanced advocacy, and improved effectiveness in health programs. M&E makes sure that health programs are implemented as accordingly and the desired results are achieved.

Monitoring and evaluation in the health sector allow individuals & organizations in assessing if a project is achieving its objectives, tracking the use of funds, identifying challenges, and ultimately creating the evidence base necessary to inform decision making & improving future efforts.

The monitoring and evaluation skills will assist the participants in improving health program plans and performance management and enhancing the collection of health-related data & analyzing program impact. The core topics include 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).

Who Can Attend

This training is ideal for  researchers, project staff, development practitioners, managers and decision makers responsible for project, program or organization-level monitoring and evaluation in the health sector.

Course duration: 10 days

Training Objectives

• 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 Content

Introduction to M&E

• Definition of Monitoring and Evaluation
• Importance of Monitoring and Evaluation
• Key principles and concepts in M&E
• M&E in project lifecycle
• Complementary roles of Monitoring and Evaluation

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

M&E Frameworks

• Conceptual Frameworks
• Results Frameworks
• Logical Framework Analysis (LFA)
• LogFrame - Design of projects using LogFrame

Monitoring and Evaluation Health Indicators

• Indicators selection
• Indicator metrics
• Linking indicators to results
• Indicator matrix
• Tracking of indicators

M&E Plans in Health Sector 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 Monitoring and Evaluation 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 Sector 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

Data Analysis in Health Programs Using Spss or 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