This first of five courses introduces students to the social determinants of health, and provides an overview of the definitions and theoretical perspectives that will form the foundation of this specialization. The topics of this course include:
1. Introduction to the Social Determinants of Health
2. Theoretical Perspectives and Knowledge Complexity
3. Data Driven Collective Impact
4. Minority Stress Theory
5. Data Applications: Frequency Analysis and Bar Chart Visualization
Data Analysis, Socioeconomics, Health Equity, Data-Driven Decision-Making, Systems Thinking, Health Policy, Health Disparities, Statistical Visualization, Community Health, Social Sciences, Health Informatics, Data Visualization, Public Health, R Programming
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From the lesson
Collective Impact
The purpose of this module is to introduce the concept of collective impact as a model and method for designing data driven collective impact initiatives. The principles and phases of collective impact are described and explained. Collective impact thinking requires a shift in mind that requires attention to systems thinking. Using a collective impact mindset supports and encourages collaboration and team science and the use of standardized data sets to understand and support knowledge work and translation with community and population data sets. Example case studies illustrate the power and potential of collective impact efforts to create transformational changes to support desired health care futures.