Learn to measure and model impact in maternal and child health programs using data analysis and the Lives Saved Tool.
Learn to measure and model impact in maternal and child health programs using data analysis and the Lives Saved Tool.
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.
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English
What you'll learn
Understand and apply different measures of health program impact
Analyze mortality and maternal health indicators
Evaluate nutrition outcomes in health programs
Use the Lives Saved Tool for impact modeling
Assess program effectiveness through data analysis
Skills you'll gain
This course includes:
6.7 Hours PreRecorded video
6 quizzes, 1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
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There are 7 modules in this course
This comprehensive course focuses on measuring and modeling impact in maternal and child health programs. Students learn different impact measures, data sources, and measurement methods for evaluating health programs in low and middle-income countries. The curriculum covers mortality measurement, nutrition assessment, and the Lives Saved Tool (LiST) for modeling program impact. Special emphasis is placed on practical applications and methodological considerations.
Introduction to Measuring and Modeling Impact
Module 1 · 10 Minutes to complete
Measuring Mortality and Maternal Mortality
Module 2 · 1 Hours to complete
Measuring and Modelling Mortality in Children
Module 3 · 1 Hours to complete
Nutrition
Module 4 · 1 Hours to complete
Other Impact Measures
Module 5 · 1 Hours to complete
Modeling Impact
Module 6 · 2 Hours to complete
Topics In LiST
Module 7 · 5 Hours to complete
Fee Structure
Instructors
Advocate for Health Equity and Research Associate at Johns Hopkins University
Talata Sawadogo-Lewis is a Research Associate at Johns Hopkins University, where she focuses on the evaluation of maternal and child health programs in low- and middle-income countries. Her work emphasizes health equity, particularly gender equity, in health initiatives. Talata is experienced in both qualitative and quantitative research methods, contributing to the development of assessment tools and conducting surveys that inform health program planning. Her research aims to enhance the effectiveness of health interventions and ensure that they address the needs of diverse populations.In addition to her research, Talata teaches courses such as "Household Surveys for Program Evaluation in LMICs" and "Measuring and Modeling Impact in Evaluations" on Coursera. Her commitment to improving health outcomes through rigorous evaluation practices makes her a valuable contributor to the field of public health.
Leading Expert in RMNCH Program Evaluation and Senior Scientist at Johns Hopkins University
Dr. Neff Walker is a Senior Scientist in the Department of International Health at the Johns Hopkins Bloomberg School of Public Health, where he specializes in the evaluation of large-scale reproductive, maternal, newborn, and child health (RMNCH) programs. With extensive experience in modeling the impact of health interventions, Dr. Walker serves as the Principal Investigator for significant projects such as RADAR and the Lives Saved Tool (LiST). His prior roles include four years at UNICEF as a Senior Advisor for estimation and modeling of HIV/AIDS impacts, as well as serving as the focal point for the Child Health Epidemiology Reference Group (CHERG). Dr. Walker's expertise in developing standard methods for estimating disease burden has been pivotal in shaping global health strategies.In addition to his research contributions, Dr. Walker teaches courses like "Analysis and Interpretation of Large-Scale Programs," "Evaluating Public Health Programs at Scale," and "Measuring and Modeling Impact in Evaluations" on Coursera. His dedication to advancing public health through rigorous evaluation and modeling makes him a leading figure in global health research.
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