Training on Advanced M&E and Data Management for Health Programs

INTRODUCTION

About the Course

Monitoring and Evaluation helps in collecting, analyzing and transforming health data into strategic information for informed decision making, improved effectiveness and enhanced advocacy in health programs. M&E will help to ensure that health programs are implemented as planned and to assess whether desired results are being achieved.

This course aims to build the capacity of M&E professionals working in the health sector.  The acquired M&E skills will assist the participants to improve health program planning and performance management and enhance the institutionalization of the collection of health-related data and the analysis of program impact. The main topics covered include the 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).

Target Participants

This course is designed for researchers, project staff, development practitioners, managers and decision makers who are responsible for project, program or organization-level M&E in the Health sector.

DURATION

10 days

LEARNING OBJECTIVES

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

  • 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

TOPICS TO BE COVERED

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

Introduction to M&E

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

M&E Frameworks

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

M&E Health Indicators

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

M&E Plans in Health 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 M&E 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 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

Quantitative Data Analysis in Health Programs – (Using SPSS/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

Closure

Methodology
This instructor led training course is 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.

Accreditation

Upon successful completion of this training, participants will be issued with a certificate of participation.

 Training venue

The training is residential and will be held at the Livecode Technologies Training Centre in Westlands, Nairobi, Kenya. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

 Accommodation

Accommodation is arranged upon request. For reservations contact the Training Officer.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Mobile Number: +254 725 771 853

Training fee

The course fee is KES 115,000.00 or USD 1200.00 exclusive of VAT. The course fees covers the course tuition, training materials, two (2) break refreshments, lunch and study visits. Participants will cater for their travel and accommodation costs.

Payment

Payment should be transferred to Livecode Technologies account through bank on or before the course starting date.

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it.

Tailor- Made

This scheduled course can also be tailored for your organization. To find out how our tailor-made training can help your organization, contact our team through This email address is being protected from spambots. You need JavaScript enabled to view it.

Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

Event Properties

Event Date 10-17-2022 8:00 am
Event End Date 10-28-2022 5:00 pm
Registered 0
Cut off date 10-13-2022
Individual Price USD 1,200
Location Nairobi, Kenya
We are no longer accepting registration for this event
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Nairobi Office: GTC Building Complex, 2nd floor

P.O BOX 21567-00100

Official: info@livecodetech.co.ke

Westlands,    Nairobi, Kenya

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