Monitoring and Evaluation (M & E) in Global Health Course Online- University of Washington (USA)

Course Overview

Want to harness the power of data to improve your global health program?

Improve your understanding of the necessary tools to develop and implement M & E frameworks for their global health programs, a critical element of any successful health program.

 Course Instructor: Nami Kawakyu, MPH, PhD (c)

Provider institution: University of Washington, Department of Global Health E-learning

Course Timeline: Starting: 10th January, 2020 - 20 March 2020; 11 weeks, 6-9 hours of learning per week 

Syllabus

Course Objectives:

• Define and distinguish between monitoring and evaluation.
• Develop a program logic model to communicate an evidence-based program theory.
• Develop an M&E plan to track progress of program activities toward objectives and assess program effectiveness.   
• Develop quantitative and qualitative indicators and targets for an M&E plan.
• Use relevant qualitative and quantitative data collection and analysis methods to track and evaluate program progress.
• Identify the qualities of effective qualitative and quantitative data collection tools.
• Describe how program data can be used for decision-making.
• Apply ethical guidelines for data collection and reporting.

Topics

Module 1: An introduction to monitoring and evaluating in global health

o   Define monitoring and evaluation.

o   Distinguish between monitoring and evaluation.

o   Explain why M&E is important.

o   Identify monitoring best practices.

o   Explain how key M&E activities fit into a typical program cycle.

o   Describe strategies to address common concerns about program evaluation.

Module 2: Program theory and frameworks

o   Define what a program theory is.

o   Identify three program frameworks.

o   List the five main components of a logic model.

o   Develop evidence-based program outcomes that align with program impact.

o   Develop program outputs that align with program activities and outcomes.

Module 3: M&E plans

o   Describe what an M&E plan is and why it is an important aspect of program success

o   Explain the relationship between logic models and M&E plans

o   Define the key components of an M&E plan

o   Write SMART objectives

o   Name and explain the qualities of effective program indicators

o   Develop indicators and targets for an M&E plan according to specified criteria

o   Describe the 6 steps involved in developing and implementing an M&E plan

Module 4: Monitoring

o   Describe the basic steps to conducting effective program monitoring.

o   List three potential data sources for program monitoring.

o   Conduct descriptive analysis to summarize data for program monitoring.

o   Describe three data visualization methods to visualize data for action.

Module 5: Evaluation

o   Describe the main steps to conducting a program evaluation;

o   Explain when the five types of program evaluations are used;

o   Develop relevant program evaluation questions;

o   Describe three program evaluation methodologies;

o   Describe two quantitative designs commonly used in program evaluation;

o   Name one key element to successful dissemination of evaluation findings.

Module 6: Quantitative data collection methods

o  Explain quantitative sampling approaches, including what information is needed to calculate sample size.

o   Explain three principles of data collection.

o   Describe three data collection methods for program evaluation.

Module 7: Quantitative data analysis

o   List the five main measures of data quality.

o   Explain the importance of processing data for data analysis.

o   Distinguish between descriptive and inferential analysis.

Module 8: Qualitative data collection methods

o   Explain what qualitative data are and how they differ from quantitative data

o   List the advantages and disadvantages of using qualitative data in program M& E

o   Name and describe the steps involved in conducting a qualitative evaluation

o   Describe strategies for planning qualitative evaluations

o   Describe 7 commonly used qualitative sampling methods

o   Explain the criteria used to inform sample size for qualitative data collection.

Module 9: Qualitative data analysis

o   Formulate effective open-ended questions to collect qualitative data

o   Explain the overall structure of interview and focus group discussion guides

o   Describe qualitative data collection methods (interviews, focus groups, and observations), when they are used, and their strengths and limitations

o   Distinguish between subjective and objective qualitative observation data

o   Define the 6 basic steps involved in thematic analysis

o   Describe elements to include in a codebook and why codebooks are important

o   Identify guidelines for writing up qualitative findings.

Module 10:  Ethics

o   Explain what human subjects protections are and why they are important 

o   Name and define the three fundamental principles of ethics 

o   Explain what informed consent means and describe the key elements of a consent form

o   Distinguish between anonymity, confidentiality, and privacy and describe methods to protect each  

o   Describe best practices for safe data storage 

o   Describe key recommendations for sharing and presenting data in an ethical manner

Course Activities:

During the course, participants will be expected to:

Ø  Analyze problem statements and develop outcomes

Ø  Work with logic models

Ø  Write SMART objectives and indicators

Ø  Complete activities around data analysis and visualization (in Microsoft Excel)

Ø  Assess evaluation questions

Ø  Analyze qualitative methods

Ø  Choose sampling methods

Ø  Create open ended questions

Ø  Work on an M&E plan

Format: Learning Methodology

This online graduate-level course has video lectures, readings, discussion forums, quizzes, and assignments. During the site meetings, the group will review the materials and the Site Coordinator will facilitate guided questions for the group.  Where a site should be primarily people in the same geographic location, some organizations/sites include a few additional participants who work remotely and have found other methods to “meet” by using video conferencing software like Adobe Connect, Skype and Zoom. Other sites create WhatsApp groups to distribute local resources and information, to connect, share ideas and help one another.

The course is taught in English, participants should be comfortable with written and spoken English.

Eligibility

To be admitted, you must have a diploma in health related field or in the social science.

The course is most useful for health care professionals and public health specialists who have some experience in management and who wish to enhance their skills working with people and other organizational resources. The course is less well suited to individuals in entry-level positions in the workforce.

Certification

For those who are successfully completed the course will receive a formal printed Certificate of Completion on vellum paper with University of Washington seal mailed to them. We will ship them all together to your Site Coordinator.

More information

You can contact Dr. Mohamed Y. Dualeh, Somalia’s HeSMA SOM site coordinator for further details and guidance for your enrollment process in this phone number +252-65-9417945 with preferable in WattsApp texting or drop an E-mail to Info@DrMohamedDualeh.com   

 University website: https://edgh.washington.edu/courses/economic-evaluation-global-health


PS: We are also hosting two other course in Autumn courses, 1) Introduction to Epidemiology in Global Health Course and 2) Global Mental Health Course (follow links for the details)