- Level Foundation
- Duration 18 hours
- Course by University of Minnesota
-
Offered by
About
This fourth of five courses examines the methodological approaches and research tools that inform our understanding of best practices in working with science teams, communities, and with data. The topics of this course include: 1. Community-Based Participatory Research 2. Team Science 3. Community-Level Data 4. Informatics and the Social Determinants of Health: Knowledge Management 5. Data Applications: ANOVA Analysis and Line Graph VisualizationModules
Introduction to Course 4
1
Videos
- Introduction to Course 4: Methodological Opportunities
Community-Based Participatory Research
1
Videos
- Community-Based Participatory Research Part 1
2
Readings
- Community-Based Participatory Research
- Supplementary Resource
Measurement and Outcomes
1
Videos
- Community-Based Participatory Research: Measurement and Outcomes Part 2
2
Readings
- What is Data?
- Community-Based Participatory Research Conceptual Model: Community Partner Consultation and Face Validity
Discussion
1
Discussions
- Community-Based Participatory Research
Quizzes
2
Assignment
- Community-Based Participatory Research - Practice
- Community-Based Participatory Research - Graded
Team Science
1
Videos
- Team Science Part 1
2
Readings
- Enhancing the Effectiveness of Team Science
- Supplementary Resources
Team Science in Community
1
Videos
- Team Science in Community Part 2
2
Readings
- Norms of Collaboration
- Using the Stages of Team Development
Discussion
1
Discussions
- Team Science
Quizzes
2
Assignment
- Team Science - Practice
- Team Science - Graded
Introduction to Community-Level Data
1
Videos
- Introduction to Community-Level Data Part 1
2
Readings
- Public Health 3.0: Supporting Local Public Health in Addressing Behavioral Health
- Shifting the Opioid Conversation from Stigma to Strengths
Simplified Consumer-Facing Language
1
Videos
- Simplified Consumer-Facing Language Part 2
2
Readings
- Understanding and Responding to Health Literacy as a Social Determinant of Health
- Supplementary Resource
Social Determinants of Health Data
2
Videos
- Social Determinants of Health Data Part 3a
- MyStrengths+MyHealth Demo Part 3b
2
Readings
- Global Action on the Social Determinants of Health
- Leveraging Health Informatics to Foster a Smart Systems Response to Health Disparities and Health Equity Challenges
Community-Level Data Exemplar
1
Videos
- Community-Level Data Exemplar Part 4
2
Readings
- Developing Partnerships to Examine Community Strengths, Challenges, and Needs in Nigeria
- Supplementary Resource
Discussion
1
Discussions
- Community-Level Data
Quizzes
2
Assignment
- Community-Level Data - Practice
- Community-Level Data - Graded
Knowledge Management
1
Videos
- Informatics and the Social Determinants of Health: Knowledge Management Part 1
3
Readings
- Collective Impact Partnerships: The Data-to-Action Hourglass Model
- A Call for Social Informatics
- Social Informatics is a Poor Choice of Term
Informatics Opportunities
1
Videos
- Informatics and the Social Determinants of Health: Informatics Opportunities Part 2
1
Readings
- Supplementary Resources
Discussion
1
Discussions
- Informatics and the Social Determinants of Health
Quizzes
2
Assignment
- Informatics and the Social Determinants of Health - Practice
- Informatics and the Social Determinants of Health - Graded
Introduction to ANOVA Analysis and Line Graph Visualization
1
Videos
- Introduction to ANOVA Analysis and Line Graph Visualization
3
Readings
- What is ANOVA (Analysis Of Variance) and What Can I Use it For?
- Family Planning for People and Planet
- Positive Systems Archetypes
ANOVA Analysis and Line Graph Visualization
1
Videos
- ANOVA Analysis and Line Graph Visualization Part 2
Data Applications Assignments
1
Peer Review
- ANOVA Analysis and Line Graph Visualization
1
Discussions
- ANOVA Analysis and Line Graph Visualization
1
Labs
- ANOVA Analysis and Line Graph Visualization
1
Readings
- ANOVA Analysis and Line Graph Visualization R Directions
Auto Summary
"Social Determinants of Health: Methodological Opportunities" is a foundational course designed for individuals interested in enhancing their understanding of health and fitness through advanced research methods. Taught by expert instructors on Coursera, this comprehensive course delves into essential topics such as Community-Based Participatory Research, Team Science, and Community-Level Data. Learners will explore the intersection of informatics and social determinants of health, focusing on knowledge management and the practical applications of data analysis, including ANOVA Analysis and Line Graph Visualization. Spanning 1080 minutes, this course offers a thorough and engaging curriculum suitable for those at the beginning of their journey in health research methodologies. Available through a Starter subscription, this course is ideal for health professionals, researchers, and anyone keen on understanding how to work effectively with science teams and communities to leverage data for better health outcomes. Join now to gain valuable insights and practical skills in this critical area of health and fitness.

Daniel J. Pesut, Ph.D., RN, FAAN

Karen A. Monsen, PhD, RN, FAMIA, FNAP, FAAN