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Systems Thinking In Public Health

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Systems Thinking In Public Health

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Gain insight into a topic and learn the fundamentals.
4.6

1,176 reviews

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
97%
Most learners liked this course

Gain insight into a topic and learn the fundamentals.
4.6

1,176 reviews

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
97%
Most learners liked this course

There are 4 modules in this course

This course provides an introduction to systems thinking and systems models in public health. Problems in public health and health policy tend to be complex with many actors, institutions and risk factors involved. If an outcome depends on many interacting and adaptive parts and actors the outcome cannot be analyzed or predicted with traditional statistical methods. Systems thinking is a core skill in public health and helps health policymakers build programs and policies that are aware of and prepared for unintended consequences.

An important part of systems thinking is the practice to integrate multiple perspectives and synthesize them into a framework or model that can describe and predict the various ways in which a system might react to policy change. Systems thinking and systems models devise strategies to account for real world complexities. This work was coordinated by the Alliance for Health Policy and Systems Research, the World Health Organization, with the aid of a grant from the International Development Research Centre, Ottawa, Canada. Additional support was provided by the Department for International Development (DFID) through a grant (PO5467) to Future Health Systems research consortium. © World Health Organization 2014 All rights reserved. The designations employed and the presentation of the material in this publication do not imply the expression of any opinion whatsoever on the part of the World Health Organization concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Dotted and dashed lines on maps represent approximate border lines for which there may not yet be full agreement. The mention of specific companies or of certain manufacturers’ products does not imply that they are endorsed or recommended by the World Health Organization in preference to others of a similar nature that are not mentioned. Errors and omissions excepted, the names of proprietary products are distinguished by initial capital letters. All reasonable precautions have been taken by the World Health Organization to verify the information contained in this publication. However, the published material is being distributed without warranty of any kind, either expressed or implied. The responsibility for the interpretation and use of the material lies with the reader. In no event shall the World Health Organization be liable for damages arising from its use. Johns Hopkins University Bloomberg School of Public Health has a non-exclusive license to use and reproduce the material.

This module introduces the basics of systems thinking and the rationale for using a systems approach to solve public health problems in complex adaptive systems.

What's included

8 videos12 readings1 assignment1 discussion prompt

8 videosTotal 98 minutes
  • Welcome to Systems Thinking in Public Health4 minutes
  • Video: Introduction to Systems Thinking1 minute
  • Lecture 1A: Why Use Systems Thinking13 minutes
  • Lecture 1B: Health Systems Applications of CAS: Health Systems Frameworks and the Problem of Implementation20 minutes
  • Lecture 1C: CAS Pathways: The Problem of Scaling Up20 minutes
  • Lecture 1D: Where Systems Thinking Helps: Understanding the Types of Problems, Theories, Methods, and Tools21 minutes
  • Lecture 2A: Systems Thinking In Practice - Understanding and Engaging with Stakeholders7 minutes
  • Lecture 2B: Network Analysis, Participatory Impact Pathways Analysis, and Summary11 minutes
12 readingsTotal 120 minutes
  • Syllabus10 minutes
  • Module Learning Objectives10 minutes
  • The Application of Systems Thinking in Public Health - David Peters (2014)10 minutes
  • When solutions of yesterday become problems of today - Agyepong et al 201210 minutes
  • Individual‐based Computational Modeling of Smallpox Epidemic Control Strategies - Burke et al (2006)10 minutes
  • Dynamic spread of happiness in a large social network - Fowler and Christakis (2008)10 minutes
  • Why Model? (Epstein 2008)10 minutes
  • A stakeholder analysis (Varvasovszky & Brugha, 2000)10 minutes
  • Participatory impact pathways analysis: A practical application of program theory in research-for-development (Douthwaite et al. 2007)10 minutes
  • 2007 Anderson - Agent based models for simulating policies in complex systems10 minutes
  • Rwashana AS et. al. System dynamics approach to immunization healthcare issues in developing countries: a case study of Uganda.10 minutes
  • Hyder A (2010) Stakeholder analysis for health research: case studies from low- and middle-income countries.10 minutes
1 assignmentTotal 30 minutes
  • Quiz Module 130 minutes
1 discussion promptTotal 10 minutes
  • Up for Discussion10 minutes

This module will introduce you to the concepts of causal loop diagrams and how they can be used in participatory research. You will also be introduced to the software Vensim that allows you to draw causal loop diagrams.

What's included

8 videos9 readings1 assignment1 discussion prompt

8 videosTotal 75 minutes
  • Video: System Conceptualization and Mapping2 minutes
  • Lecture 3A: System Conceptualization and Mapping: Introduction to Causal Loop Diagrams6 minutes
  • Lecture 3B: Causal Loop Diagrams: Basic Components11 minutes
  • Lecture 3C: Causal Loop Diagrams: Sources of Data, Strengths, and Weaknesses12 minutes
  • Lecture 4A: Introduction to Community-Based Causal Mapping Workshop12 minutes
  • Lecture 4B: Community-Based Causal Mapping Workshop Part 17 minutes
  • Lecture 4C: Community-Based Causal Mapping Workshop Part 29 minutes
  • Tutorial 1: Developing causal loop diagrams using Vensim15 minutes
9 readingsTotal 90 minutes
  • Module Learning Objectives10 minutes
  • Exploring dual practice and its management in Uganda - Paina et al (2014)10 minutes
  • Advancing the application of systems thinking in health - Rwashana et al (2014)10 minutes
  • Vensim User Manual10 minutes
  • Scriptapedia & Original Scripts for Practice Workshop10 minutes
  • Simplified Variable Elicitation Script10 minutes
  • Group model building using system dynamics: An analysis of methodological frameworks10 minutes
  • Community Based System Dynamics10 minutes
  • Sterman Chapter 5 Causal Loop Diagrams10 minutes
1 assignmentTotal 30 minutes
  • Quiz Module 230 minutes
1 discussion promptTotal 10 minutes
  • Up for Discussion10 minutes

This module will introduce you to the concepts of systems dynamics modeling and will show you how to use Vensim to run a pre-existing system dynamics model.

What's included

13 videos11 readings1 assignment2 discussion prompts

13 videosTotal 159 minutes
  • Video: System Dynamics Simulation Using Stock-and-Flow Diagrams2 minutes
  • Lecture 5A: Using Stock and Flow Principles for Simulation5 minutes
  • Lecture 5B: Defining Stocks12 minutes
  • Lecture 5C: Flow and Control Variables12 minutes
  • Lecture 6A: Case Example: Application of Stock and Flow Diagrams to Public Health23 minutes
  • Lecture 6B: Advanced Model of Volume and Quality10 minutes
  • Lecture 6C: Advanced Model: Cure and Prevention Model25 minutes
  • Tutorial 2: Tutorial on How To Develop Stock-and-Flow Diagrams Using Vensim14 minutes
  • Lecture 7A: Analysis Using Agent-Based Models: Trying Things Out10 minutes
  • Lecture 7B: Breakdown of the Agent-Based Approach15 minutes
  • Lecture 7C: Case Study of Epidemic Modeling15 minutes
  • Tutorial 3A: How to use agent-based models for scenario-building using Netlogo8 minutes
  • Tutorial 3B: How to use agent-based models for scenario-building using Netlogo10 minutes
11 readingsTotal 110 minutes
  • Module Learning Objectives10 minutes
  • Vensim Model I - Example Stock and Flow Diagram: Technical Quality10 minutes
  • Vensim Model II - Example stock and flow diagram: Quality of services10 minutes
  • Vensim Model III - Performance Based Financing10 minutes
  • Vensim Model IV - Effect of lobying10 minutes
  • Advancing the application of systems thinking in public health - Bishai et all (2014)10 minutes
  • Vensim User Manual10 minutes
  • Sterman Chapter 6 Stocks and Flows10 minutes
  • Module Learning Objectives10 minutes
  • How to do agent-based simulations in the future - Helbing and Balietti (2011)10 minutes
  • Netlogo User Manual10 minutes
1 assignmentTotal 30 minutes
  • Quiz Module 330 minutes
2 discussion promptsTotal 20 minutes
  • Up for Discussion10 minutes
  • Up for Discussion10 minutes

This Module wraps up the course and shows you how systems thinking can contribute to policy making.

What's included

6 videos3 readings1 assignment1 discussion prompt

6 videosTotal 42 minutes
  • Video: Practical and policy implications1 minute
  • Lecture 8A: How Systems Thinking Can Contribute to Policy Decision Making9 minutes
  • Lecture 8B: Systems Thinking in Top-Down Policymaking13 minutes
  • Lecture 8C: Systems Thinking in Bottom-Up Policymaking11 minutes
  • Lecture 8D: Integration and Summary5 minutes
  • Conclusion Video3 minutes
3 readingsTotal 30 minutes
  • Module Learning Objectives10 minutes
  • Advancing the application of systems thinking in health: why cure crowds out prevention10 minutes
  • Chapter 4 & 13 Colander & Kupers10 minutes
1 assignmentTotal 30 minutes
  • Quiz Module 430 minutes
1 discussion promptTotal 10 minutes
  • Up for Discussion10 minutes

Instructors

Instructor ratings
4.6 (388 ratings)
Johns Hopkins University
1 Course65,246 learners

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Showing 3 of 1176

SS
·

Reviewed on May 28, 2017

The course is easy to understand and the lecturer are well read about the subject. It will be very helpful to me in near future working as a public health worker

MJ
·

Reviewed on Aug 3, 2020

Coming from a lean background, this really helped drive a deeper understanding and showed me some things I can add to my own practice with more confidence.

OA
·

Reviewed on Apr 14, 2020

The course is very insightful. I learnt a lot of new concepts and I hope to spend more time to master the skill of using the great tools for creating models.

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