Training Course on Monitoring & Evaluation, Data Management & Analysis for Health Sector Programmes; Nairobi, Mombasa Kenya

Monitoring and evaluation, data management and analysis for health sector programmes involve the assessment of the how various health programmes operate. The training will focus on programme monitoring data, behavioral and biological trends data and evaluation of programmes. The increasing demands on country monitoring and evaluation systems can only be met if better systems are built and supported.

Duration

5 days

Targeted Audience

The course will mainly target the members of the society who have general knowledge on monitoring and evaluation, health professionals, clinicians, clinicians, physicians, researchers all from both the public and private institutions who are willing to acquire skills on Data Management & Analysis for Health Sector Programmes

Course Objectives

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

·         Apply concepts, principles, processes and framework for monitoring and evaluation systems in development programmes;

·         Design and develop M & E systems for Data Management & Analysis for Health Sector Programmes

·         Design and conduct an evaluation on Analysis for Health Sector Programmes

·         Formulate result- and change-oriented indicators for monitoring and evaluation

·         Use M&E tools for qualitative and quantitative data analysis

Module 1

M& E Fundamentals

• What is M&E?
• M&E Plans
• M&E Frameworks
• Indicators
• Data sources collection and use
• Relating Monitoring and evaluation to your project cycle
• Identifying the challenges facing Monitoring and evaluation professionals in the health sector

M&E Frameworks

• M&E Frameworks basics for HIV/AIDS and other health programs
• M&E in a public health context
• M&E Frameworks
• Developing and operationalising M&E frameworks
• Linking M&E frameworks to indicators
• Using data

Gender M&E

• Introduction to M&E in Gender and Health
• Prioritizing gender in M&E plans
• Exploring gender in M&E plans
• Selecting indicators to measure gender related outputs and outcomes
• Gender considerations for data collection, interpretation and use

Communication and reporting in M&E

• Communication and reporting for M&E
• Contemporarily methods of disseminating

Module 2

Data collection, management and data quality

• Data collection methods: How to undertake data collection (quantitative and qualitative)
• M&E field trips
• Increasing questionnaires response rates
• Data collection versus data analysis
• Data quality and data management
• Data quality dimensions
• Functional areas of data management systems
• Double counting
• Obtaining data from Social media
• ICT tool for Data processing
• Using Mobile phones for data collection

Data use

• Introduction
• Data use frameworks and key concepts
• Data demand
• Information availability
• Information use

Introduction to Data analysis and interpretation for health programmes

• Introduction
• Data analysis key concepts
• Types of variables
• Basic analysis

Module 3

Summarizing data

• Numerical summaries for discrete variables
• Tables for dichotomous variables
• Tables for categorical variables
• Tables for ordinal variables
• Graphs and charts for dichotomous and categorical variables
• Graphs and charts for ordinal variables
• Tabulations for summary statistics for continuous variables
• Graphs and charts for continuous variables

Introduction to qualitative data Analysis

• Planning for qualitative data analysis
• Reviewing the data
• Organizing your data
• Coding the data
• Introduction to using a qualitative data analysis software (NVivo)

Module 4

Quantitative data Analysis

• Planning for qualitative data analysis
• Comparison of Data analysis packages
• Basics for statistical analysis
• Testing for normality of data
• Choosing the correct statistical test
• Hypothesis testing
• Confidence intervals
• Tests of statistical significance (Parametric and non-parametric tests)
• Hypothesis testing versus confidence intervals
• Interpreting the data

Module 5

Economic Evaluations

• Introduction to Economic evaluation
• Main methods of economic evaluation
• Framing an economic evaluation (planning, analysis and advocacy)
• Case study: cost effectiveness

GIS techniques for M&E of Health programmes

• What is GIS?
• Geographic approaches to global health
• GIS advantages for M&E in Health
• Using GIS software and data
• Data sources for HIV/AIDS and other health related issues
• GIS analysis and mapping techniques
• Participatory GIS and web Mapping (Google Maps, Google Earth)

Methodology

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.

Key Notes

i. The participant must be conversant with English.

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

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

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

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

vi. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.