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Daniel J. Pesut, Ph.D., RN, FAAN and Karen A. Monsen, PhD, RN, FAMIA, FNAP, FAAN

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 Visualization

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Syllabus

Community-Based Participatory Research
The purpose of this module is to examine community-based participatory research (CBPR) and evaluate its potential applications in data-to-action initiatives. Lesson one will define CBPR, as we discuss its origin and relation to collective impact. We will also review the goals, purpose, benefits and characteristics of CBPR as we compare it to traditional research methods. In lesson two, we will explore potential measurement strategies for analyzing CBPR outcomes and data-to-action interventions. We will also consider how CBPR success is measured and how data can be used to amplify community voices.
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Teaches community-based participatory research (CBPR), team science, informatics, and data visualization
Instructor Daniel J. Pesut is a nurse and professor with expertise in community-based research
Instructor Karen A. Monsen is a nurse and professor with expertise in health informatics
Taught by instructors from the Johns Hopkins University School of Nursing, a highly regarded institution
Provides a comprehensive study of data-to-action initiatives, covering various methodologies and research tools
Includes hands-on labs and interactive materials, providing practical experience
Examines current topics and challenges in community-based research and data-driven healthcare
Assumes prior knowledge in research methods and data analysis

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Reviews summary

Sdh methodologies: concepts and data application

According to learners, this course offers a comprehensive and insightful exploration of Social Determinants of Health. Students particularly praise the strong foundational knowledge provided in areas like Community-Based Participatory Research and Team Science, finding the methodological discussions highly relevant for public health professionals. While the course provides valuable exposure to data applications, specifically ANOVA analysis and R programming, some learners note that this section can be a warning if they lack prior R proficiency, suggesting a need for supplementary learning to master the tools.
Offers broad coverage; some topics could benefit from deeper exploration.
"The course provides a good introduction to SDH methodologies. However, I felt some sections could go deeper."
"Found the course's content a bit too high-level for my needs. The 'methodological opportunities' were touched upon but not explored in depth."
"It's a good starting point but not a deep dive into statistical software or every methodological nuance."
Explores data analysis but may require prior R proficiency.
"The R studio application was a bonus, helping me see how to apply these concepts with real data."
"While the ANOVA analysis in R was a bit challenging for me, it was clearly explained."
"The data applications module felt a bit disconnected and assumed more R experience than I had. I needed to supplement with external resources to fully grasp the ANOVA section."
"The R programming section was too brief and rushed, assuming prior knowledge. I was hoping for more hands-on practical application rather than just conceptual overview."
Highly relevant for public health and community-focused careers.
"Highly recommend for public health professionals."
"I feel much more equipped to approach community-level data initiatives now."
"This course truly helped me connect theoretical public health concepts to practical research and community engagement strategies."
Provides a strong overview of key public health methodologies.
"This course provided an excellent foundation in understanding the complexities of Social Determinants of Health."
"I appreciated the comprehensive overview of methodological approaches. The segment on Informatics and Knowledge Management was very relevant to my work."
"The course covered a lot of ground, from CBPR to data visualization. It definitely broadened my perspective on health equity."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Social Determinants of Health: Methodological Opportunities with these activities:
Review English
Re-familiarizing yourself with the English language will help you perform better on quizzes, readings, and homework.
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Show steps
  • Look at English grammar rules
  • Read English language books
  • Watch English language movies
Review Student Success Skills
Aligns with the goal of the course, which is to improve learning outcomes. This will help accelerate your progress, reduce friction, and improve knowledge retention.
Browse courses on Learning
Show steps
  • Look at a list of study tips
  • Recall how to take notes
  • Remember how to prepare for exams
Practice data analysis skills
Review and practice data analysis skills to strengthen your foundation for working with data in this course.
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Show steps
  • Review data analysis concepts and techniques
  • Practice analyzing data using statistical software
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Volunteer at a community health organization
Enhance your understanding of community health issues and gain practical experience by volunteering at a related organization.
Browse courses on Community Health
Show steps
  • Identify and contact potential organizations
  • Complete volunteer training and orientation
Form a peer study group
Facilitates collaboration, knowledge sharing, and deeper understanding of course content.
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Show steps
  • Identify a group of classmates
  • Establish a regular meeting schedule
  • Take turns presenting on different topics
  • Discuss and solve case studies
  • Provide feedback and support to each other
Organize a study group with classmates
Collaborate with classmates to discuss course concepts, review materials, and support each other's learning journey.
Show steps
  • Find interested classmates and schedule regular meetings
  • Prepare discussion topics and materials
Attend a workshop on data visualization for health professionals
Complements the Data Applications module by providing practical guidance and hands-on experience in data visualization for healthcare professionals.
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  • Research and identify relevant workshops
  • Register for and attend the workshop
  • Participate actively and network with other professionals
Attend a workshop on data science for health
Supplement your understanding of data science techniques and applications in healthcare by attending a relevant workshop.
Browse courses on Data Science
Show steps
  • Research and identify a suitable workshop
  • Register and attend the workshop
Apply ANOVA and Line Graph Visualization principles to analyze health disparities
Reinforces concepts covered in the Social Determinants of Health and Data Applications modules, helping improve comprehension and proficiency in analyzing health disparities.
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Show steps
  • Review ANOVA and Line Graph Visualization concepts
  • Analyze health disparities data using ANOVA and Line Graph Visualization
  • Interpret the results of the analysis and draw conclusions
Conduct ANOVA analysis and create line graphs
Reinforce your understanding of ANOVA analysis and line graph creation by completing practice drills.
Show steps
  • Review concepts of ANOVA analysis and line graphs
  • Complete practice problems and exercises
Develop a community-based health initiative proposal
Integrates knowledge from the Community-Based Participatory Research and Team Science modules, enabling practical application and better understanding of the course concepts.
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Show steps
  • Identify a health issue or need within a community
  • Research evidence-based interventions
  • Develop a proposal outlining the intervention plan, budget, and evaluation methods
Develop a community health intervention plan
Apply your knowledge of community-based participatory research and team science by creating a comprehensive intervention plan for a community health issue.
Show steps
  • Identify a community health issue and target population
  • Conduct a needs assessment and gather data
  • Develop and implement an intervention plan
  • Evaluate the effectiveness of the intervention
Mentor a health sciences student
Applying knowledge and skills in a practical setting, while fostering professional development and networking in the health sciences field.
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Show steps
  • Identify a mentee
  • Establish clear goals and expectations
  • Provide guidance and support on academic and professional matters
  • Encourage networking and career exploration
  • Seek support from the university or professional organizations

Career center

Learners who complete Social Determinants of Health: Methodological Opportunities will develop knowledge and skills that may be useful to these careers:
Health Informatics Specialist
A Health Informatics Specialist analyzes and uses health data to improve patient care and population health.
Research Scientist
Research Scientists conduct research to investigate and discover new knowledge about a wide range of topics, including health and medicine.
Epidemiologist
Epidemiologists investigate the causes of disease and other health problems in populations, and work to develop and implement public health programs to prevent and control these problems.
Health Policy Analyst
Health Policy Analysts examine and assess health policies, regulations, and programs to determine their impact on the health of populations.
Biostatistician
A Biostatistician applies statistical methods to a wide range of health sciences, which includes helping to conduct research studies, and interpreting and analyzing data.
Medical Anthropologist
Medical Anthropologists examine the social, cultural, and environmental factors that influence health and illness. They work in a variety of settings including academia, government, and non-profit organizations.
Health Educator
Health Educators develop and implement educational programs and materials to promote health and prevent disease. Health Educators typically work with diverse populations to teach about healthy behaviors, such as nutrition, physical activity, and mental health.
Public Health Nutritionist
Public Health Nutritionists work to improve the nutrition and health of populations by developing and implementing nutrition programs and policies.
Public Health Administrator
Public Health Administrators plan, implement, and evaluate public health programs and policies to improve the health of populations.
Nurse
Nurses provide direct patient care and work with other members of the healthcare team to develop and implement patient care plans.
Medical Doctor
Medical Doctors provide medical care to patients, and may also conduct research and teach medical students.
Registered Dietitian
Registered Dietitians provide nutrition counseling and education to individuals and groups, and work to improve the nutrition and health of populations.
Social Worker
Social Workers help people to cope with difficult life circumstances and to improve their well-being. They work in a variety of settings, including healthcare, schools, and social service agencies.
Sociologist
Sociologists study human social behavior and social change.
Pharmacist
Pharmacists dispense medications, provide counseling on medication use, and work with other members of the healthcare team to ensure that patients are receiving the correct medications and dosages.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Social Determinants of Health: Methodological Opportunities.
Provides a comprehensive overview of the social determinants of health and their role in health disparities. Explores the evidence base and proposes policy and practice interventions to address these disparities.
Offers practical guidance for policymakers on how to address social determinants of health. Provides recommendations and strategies for creating policies that promote health equity.
Examines the relationship between health and social justice, arguing that health equity fundamental human right. Explores the role of social and economic policies in shaping health outcomes and proposes strategies for promoting health justice.
A powerful narrative that explores the challenges of providing culturally competent healthcare and the importance of understanding the social and cultural context of health beliefs and practices.
A foundational text for statistical methods in social sciences. Provides a comprehensive overview of statistical concepts and techniques used in analyzing social science data.

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