Kenya: Training Course on M & E, Data Management & Analysis for Health Sector Programmes

Introduction

Monitoring and evaluation (M&E) skills are fundamental to the process of designing and implementing programs, analyzing and using data, and conducting advocacy for population and health programs.

In order to build the capacity of M&E professionals who are actively engaged in the health sector, this one week course will provide hands-on training in M&E systems and the application of M&E data to decision making in health programming. The workshop offers intensive training that will cover the fundamental concepts and tools for M&E in health programs.

Data management and analysis will be done using Ms Excel and Stata but participant can also opt for either SPSS or R.

This workshop also presents a practical guide for using a geographic information system (GIS) to integrate, visualize, and analyze geographically-referenced data extracted from key data sets to facilitate monitoring and evaluation (M&E) of HIV/AIDS and related health programs.

Duration

5 days

Learning objectives

• Monitor programme inputs, processes and results required for management of health System performance.
• Understand concepts, methods, and tools for monitoring of health sector programs including HIV/AIDS, Malaria and Tuberculosis prevention and care programs.
• Identify ways to overcome barriers to conducting effective health sector program monitoring.
• Select appropriate indicators for measuring program outputs and outcomes.
• Conduct HIV/AIDS, Malaria and Tuberculosis program monitoring using appropriate methods and tools.
• Competently use data analysis software package (STATA)
• Get basic knowledge of analyzing qualitative data for health sector programmes
• Use NVivo qualitative data analysis software
• Use Geographic Information Systems (GIS) and GPS to gather data, collaborate and share information.
• Communicate findings to stimulate learning and reflection.

Topics to be covered in the program

Day 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

Day 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

Day 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)

Day 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

Day 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)

How to participate

To participate, kindly click on Register

Payment

The Course fee is USD 1100 or KES 75,000exclusive of VAT. Payment should be transferred to IRES account through bank on or before C.O.B 27th July 2015.

Send proof of payment to outreach@indepthresearch.org.

For further inquiries;

Email: outreach@indepthresearch.org.

Mob: +254 715 077 817

Tel: 020 211 3814

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