Social Determinants of Health: Health Care Systems (Coursera)

Social Determinants of Health: Health Care Systems (Coursera)

This third of five courses explores topics related to the social determinants of health and health care systems. This course will also focus on the relationship between the social determinants of health, mental health, substance abuse, and trauma.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

The topics of this course include:

  1. Health Literacy
  2. Mental Health & Substance Abuse
  3. Violence, Conflict, and Trauma
  4. Ethical Considerations for Health Systems and Data
  5. Data Applications: Correlation Analysis and Heat Map Visualization

Course 3 of 5 in the Social Determinants of Health: Data to Action Specialization.

Syllabus

WEEK 1
Health Literacy
This module will introduce the concept of health literacy, as we also examine how health literacy is measured. In lesson one, we will look at some of the social determinants of health that interact with health literacy, as we investigate the link between low health literacy and poor health outcomes. We will also review the Health Literacy Umbrella as a framework for improving health literacy, as we evaluate several policies, solutions, and perspectives for addressing disparities in health literacy. In lesson two, we will explore some of the resources available for measuring health literacy as we consider the many perspectives of health literacy measurement.

WEEK 2
Mental Health & Substance Abuse
In this module, we will examine the impact of the social determinants of health on mental health and substance abuse. In lesson one, we will define mental health, as we look at the global prevalence and global burden of mental health disorders. This lesson will also focus on the global prevalence and global burden of substance abuse disorders, as we investigate influencing factors of drug use. Lesson two will introduce the life course approach to mental health, as we discuss both risk factors and protective factors that impact mental health. We will also consider how the social determinants of health contribute to mental health outcomes. Finally in lesson three, we will evaluate global, national, and regional policies and interventions for improving mental health outcomes.

WEEK 3
Violence, Conflict and Trauma
In this module, we will look at the relationship between violence, conflict and trauma and the social determinants of health. In lesson one, we will define the different types of trauma, as we look at the global prevalence of violent and traumatic events. We will also focus on the effects of trauma and violence in vulnerable populations. Lesson two will explore Adverse Childhood Experiences in the context of social determinants of health. The impact of trauma on vulnerable countries and communities will also be examined. In lesson three, we will evaluate community resources, policies and interventions for addressing violence, conflict, and trauma in communities. We will also look at examples of effective interventions as we consider how to improve the social determinants of health and reduce trauma experiences.

WEEK 4
Health Systems and Data
This module will focus on the ethical considerations of addressing social determinants of health in health systems, and the ethical considerations of using SDOH-related data. In lesson one, we will explore the “Spheres of Influence'' framework in order to understand the ethical principles that guide how clinicians, health care organizations and communities should address SDOH. We will also examine the Public Health Code of Ethics, as we review the concept of health justice and health equity. In lesson two, we will evaluate the ethical considerations related to the use of SDOH data. We will also explore the five guiding principles proposed by the Executives for Health Innovation as part of the ethical framework for SDOH data. Finally, we will assess how the ethical frameworks discussed in this course can be applied to our course data sets, as we consider how our findings might be employed in a health system or to guide action to improve health.

WEEK 5
Data Applications: Correlation Analysis and Heat Map Visualization
This module will focus on analyzing, displaying and interpreting social determinants of health data, with a particular focus on identifying correlations between social determinants of health. Lesson one will provide an overview of correlation analysis and heat map visualization. In lesson two, we will learn how to calculate the Pearson correlation coefficient and create heatmaps in R. Using the NHANES dataset, we will look at the correlation between income, education, marital status, family savings, depression, insurance, household size, drinks per day, smoker, and body mass index. Using the Omaha System dataset, we will look at the correlation between the social determinants of health signs & symptoms. Finally, we will discuss how to interpret the results of our analysis as we visualize our findings using heatmaps.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Fundamentos de Excel para Negocios (Coursera) Coursera
Universidad Austral

Fundamentos de Excel para Negocios (Coursera)

Cuando finalices este curso habrás logrado un gran número de habilidades como introducir información, ordenarla, manipularla, realizar cálculos de diversa índole (matemáticos, trigonométricos, estadísticos, financieros, ingenieriles, probabilísticos), extraer conclusiones, trabajar con fechas y horas, construir gráficos, imprimir reportes y muchas más.

Aug 17th 2026
5-12 Weeks
Big Data Analysis with Scala and Spark (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Big Data Analysis with Scala and Spark (Coursera)

Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout.

Aug 17th 2026
4 Weeks
Principles of fMRI 1 (Coursera) Coursera
Johns Hopkins University

Principles of fMRI 1 (Coursera)

Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public health researchers, biologists, and others are coming together to advance our understanding of the human mind and brain. This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data, including psychological inference, MR Physics, K Space, experimental design, pre-processing of fMRI data, as well as Generalized Linear Models (GLM’s).

Aug 17th 2026
4 Weeks
eHealth: More than just an electronic record (Coursera) Coursera
The University of Sydney

eHealth: More than just an electronic record (Coursera)

The MOOC, "eHealth: More than just an electronic record!", is multidisciplinary in nature, and aims to equip the global audience of health clinicians, students, managers, administrators, and researchers to reflect on the overall impact of eHealth on the integration of care. It explores the breadth of technology application, current and emerging trends, and showcases both local and international eHealth practice and research.

Aug 17th 2026
5-12 Weeks
Business Statistics and Analysis Capstone (Coursera) Coursera
Rice University

Business Statistics and Analysis Capstone (Coursera)

The Business Statistics and Analysis Capstone is an opportunity to apply various skills developed across the four courses in the specialization to a real life data. The Capstone, in collaboration with an industry partner uses publicly available ‘Housing Data’ to pose various questions typically a client would pose to a data analyst. Your job is to do the relevant statistical analysis and report your findings in response to the questions in a way that anyone can understand.

Aug 17th 2026
4 Weeks
Strategies for Assisted Living Communities during COVID-19 (Coursera) Coursera
Johns Hopkins University

Strategies for Assisted Living Communities during COVID-19 (Coursera)

SARS-CoV-2, the virus that causes COVID-19, poses a high risk for assisted living communities due to residents’ age, health status, and communal living environment. The COVID-19 response has largely focused on nursing homes, leaving assisted living communities in the United States with fragmented guidance on how to respond to COVID-19 challenges. This course provides comprehensive instruction and resources for administrators and direct-care staff of assisted living communities.

Aug 17th 2026
1 Week
Research Design: Inquiry and Discovery (Coursera) Coursera
University of North Texas

Research Design: Inquiry and Discovery (Coursera)

The main purpose of this course is to focus on good questions and how to answer them. This is essential to making considered decisions as a leader in any organization or in your life overall. Topics will include the basis of human curiosity, development of questions, connections between questions and approaches to information gathering design, variable measurement, sampling, the differences between experimental and non-experimental designs, data analysis, reporting and the ethics of inquiry projects.

Aug 17th 2026
4 Weeks
Matrix Methods (Coursera) Coursera
University of Minnesota

Matrix Methods (Coursera)

Mathematical Matrix Methods lie at the root of most methods of machine learning and data analysis of tabular data. Learn the basics of Matrix Methods, including matrix-matrix multiplication, solving linear equations, orthogonality, and best least squares approximation. Discover the Singular Value Decomposition that plays a fundamental role in dimensionality reduction, Principal Component Analysis, and noise reduction.

Aug 17th 2026
5-12 Weeks
Business Models for Innovative Care for Older People (Coursera) Coursera
University of Copenhagen,Copenhagen Business School

Business Models for Innovative Care for Older People (Coursera)

This course will introduce you to healthcare innovation within the field of healthy living and active aging. By following two specific cases on diabetes and rehabilitation, this interdisciplinary course will provide you with key theories, tools and concepts for analyzing and developing viable innovative solutions for aging populations. The lectures will cover demographic, biological, economic, social and cultural aspects of active aging and healthy living, along with lectures on current innovation theories and methods.

Aug 17th 2026
5-12 Weeks