Introduction to Social Determinants of Health
Learn how social factors influence health outcomes and explore data-driven approaches to address health inequities using systems thinking.
Learn how social factors influence health outcomes and explore data-driven approaches to address health inequities using systems thinking.
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 Social Determinants of Health: Data to Action 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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What you'll learn
Understand social determinants concepts
Apply systems thinking approaches
Analyze health disparities data
Implement collective impact strategies
Visualize health outcomes data
Skills you'll gain
This course includes:
1.7 Hours PreRecorded video
8 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course introduces students to the social determinants of health and their impact on population health outcomes. The curriculum covers theoretical perspectives, data-driven collective impact approaches, and minority stress theory. Through data analysis exercises using R, students learn to visualize and interpret health disparities data. The course emphasizes systems thinking and evidence-based approaches to addressing health inequities.
Introduction to Social Determinants of Health
Module 1 · 4 Hours to complete
Theoretical Perspective
Module 2 · 4 Hours to complete
Collective Impact
Module 3 · 2 Hours to complete
Minority Stress Theory
Module 4 · 3 Hours to complete
Data Applications: Frequency Analysis and Bar Chart Visualization
Module 5 · 4 Hours to complete
Fee Structure
Instructors
Nursing Leadership Expert and Clinical Reasoning Pioneer
Dr. Daniel J. Pesut serves as Emeritus Professor and Past Director of the Katharine J. Densford International Center for Nursing Leadership at the University of Minnesota School of Nursing. His academic credentials include a Ph.D. in Nursing from the University of Michigan, an MS in psychiatric mental health nursing from the University of Texas Health Science Center, and a BS in nursing from Northern Illinois University. His pioneering work includes the development of the Outcome-Present State-Test (OPT) model of reflective clinical reasoning, which has transformed nursing education. Through his Coursera courses in Social Determinants of Health and Nursing Informatics Leadership, he helps healthcare professionals understand complex healthcare systems and leadership principles. As the Emeritus Katherine R. and C. Walton Lillehei Nursing Leadership Chair, he has influenced nursing education through creative teaching strategies and innovative solutions. His contributions have earned numerous accolades, including the Army Commendation Award, the Edith Moore Copeland Founder's Award for Creativity, and the Luther Christman Award. The Daniel J. Pesut Spirit of Renewal Award, established in 2005, honors his lasting impact on the nursing profession
Professor
Dr. Karen A. Monsen is a Professor Emeritus in the School of Nursing at the University of Minnesota and a prominent figure in the field of nursing informatics. With a career spanning over two decades, she has been a pioneer in integrating health information technology to enhance practice quality and population health outcomes. Dr. Monsen's journey began as a nurse manager when she implemented a computerized documentation system in a public health department in 1999, which sparked her interest in data-driven healthcare improvement. Since 2007, she has focused on informatics research using large datasets to develop methodologies that link nursing interventions to client outcomes. Her contributions have earned her numerous accolades, including the Dobzhansky Award for lifetime achievements in behavioral genetics and recognition as a Fellow of the American Academy of Nursing.In addition to her research, Dr. Monsen teaches several courses aimed at advancing nursing informatics, including Interprofessional Healthcare Informatics, Leadership in Interprofessional Informatics, and Nursing Informatics Training and Education. She leads the Omaha System Partnership for Knowledge Discovery and Health Care Quality, collaborating with international affiliates to promote evidence-based practices in nursing. Dr. Monsen's work emphasizes the importance of giving healthcare professionals a data-based voice to advocate for improved care outcomes. Through her innovative teaching and research initiatives, she continues to transform nursing education and practice, ensuring that nurses are equipped to leverage informatics for better patient care
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