Program Design & Evaluation for Health Systems
Master essential frameworks and methods for designing and evaluating health system strengthening programs.
Master essential frameworks and methods for designing and evaluating health system strengthening programs.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Evaluating Large-Scale Health Programs Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.6
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What you'll learn
Define and apply health systems strengthening concepts
Use frameworks to design and evaluate health programs
Develop evaluation plans using systems thinking approaches
Assess program impact and sustainability
Interpret findings for health system improvements
Skills you'll gain
This course includes:
2.8 Hours PreRecorded video
3 quizzes, 1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 modules in this course
This comprehensive course focuses on designing and evaluating programs to strengthen health systems. Students learn essential concepts in health systems frameworks, systems thinking, and evaluation methodologies. The curriculum covers program design principles, implementation strategies, and evaluation approaches specific to health systems strengthening initiatives. Through practical examples and tools like the evaluation planning tool, participants develop skills in program design, data collection, impact assessment, and sustainability planning.
Introduction to health system strengthening
Module 1 · 2 Hours to complete
Designing programs to strengthen the health system
Module 2 · 1 Hours to complete
Evaluating programs with a health system strengthening lens
Module 3 · 4 Hours to complete
Fee Structure
Instructors
Health Systems Researcher and Educator at Johns Hopkins University
Dr. Jaya Gupta is a health systems researcher and independent consultant affiliated with the World Health Organization and the Johns Hopkins Bloomberg School of Public Health. She holds both a PhD and an MPH from Johns Hopkins, specializing in health systems strengthening and program evaluation. With extensive experience in qualitative and quantitative research, particularly in North India, Dr. Gupta has contributed significantly to health systems assessments focused on service availability and readiness. Her work emphasizes the importance of community participation and equity in health initiatives, aiming to improve healthcare delivery in underserved populations.In addition to her consulting work, Dr. Gupta teaches the course "Program Design & Evaluation for Health Systems Strengthening" on Coursera, where she equips students with essential skills for designing effective health programs. Her commitment to advancing public health through research and education has made her a respected figure in the field, driving impactful change in global health systems.
Innovator in Health Systems Evaluation and Assistant Scientist at Johns Hopkins University
Dr. Timothy Roberton is an Assistant Scientist in the Department of International Health at Johns Hopkins Bloomberg School of Public Health, where he focuses on developing tools and mathematical models to enhance the design and evaluation of health programs. His expertise lies in creating software tools that enable NGOs to generate evidence-based evaluation plans, compile electronic survey questionnaires, and conduct statistical analyses of both survey and routine data. Dr. Roberton is also a key member of the team that maintains the Lives Saved Tool (LiST), which estimates changes in child and maternal mortality, providing critical insights for public health interventions.In addition to his research, Dr. Roberton teaches the course "Program Design & Evaluation for Health Systems Strengthening" on Coursera, where he shares his knowledge on effective program development strategies. His work has been instrumental in improving health outcomes in low- and middle-income countries, particularly through the application of data-driven decision-making in health systems strengthening initiatives.
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4.6 course rating
31 ratings
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