Organization Name / Organize By
Indepth Research Services
Organizing/Related Departments
Project Management
Organization Type
Organization
Training or Development ClassCategory
Non Technical
Training or Development ClassLevel
International
Related Industries
Education/Teaching/Training/Development
Advertising/Marketing
Security/Law Enforcement/Legal Services
OTHERS
Location
Westlands, Nairobi, Kenya
Event: M & E, Data Management & Analysis for Health Sector Programmes Course
Venue: Indepth Research Services, Nairobi, Kenya.
Event Date: 20th-24th October, 2017.
NITA CERTIFIED
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.
MODULES TO BE COVERED/TOPICS
- M&E fundamentals
- M&E frameworks
- Gender M&E
- Communication and reporting in M&E
- Data collection, management and data quality
- Data use
- Introduction to data analysis and interpretation for health programmes
- Summarizing data
- Introduction to qualitative data analysis
- Quantitative Data Analysis
- Economic Evaluations
- GIS techniques for M&E of health programmes.
Tailor-Made Training
This training can also be customized for your institution upon request to a minimum of 4 participants. You can have it delivered in our training centre or at a convenient location.
How to participate
- Tailors make your course.
- Register individual.
- Register as a group.
- Become one of our partners.
- Purchase software’s
- Frequently asked Questions (FAQ’s)
View related courses
- Project Management Monitoring and Evaluation with MS Projects Course
- M & E, Data Management & Analysis for Agriculture & Rural Development Programmes Course
- Result Based Monitoring and Evaluation Course
- Participatory M&E for Rural Development and Community Managed Programmes Course
- Proposal Preparation Using the Logical Framework Approach Course
- Effective Project Proposal and Report Writing Course
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For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814, +254 731240802, +254 735331020.
Others Details
Accommodation is arranged upon request. For reservations contact the Training Officer.
Registration Fees
Available
Registration Fees Details
USD 1100
Registration Ways
Email
Phone
Website
Address/Venue
Indepth Research Services,
Westlands, Nairobi, Kenya.
Pin/Zip Code : 00101