Systems Thinking In Public Health
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Systems Thinking In Public Health
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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 videos•Total 98 minutes
- Welcome to Systems Thinking in Public Health•4 minutes
- Video: Introduction to Systems Thinking•1 minute
- Lecture 1A: Why Use Systems Thinking•13 minutes
- Lecture 1B: Health Systems Applications of CAS: Health Systems Frameworks and the Problem of Implementation•20 minutes
- Lecture 1C: CAS Pathways: The Problem of Scaling Up•20 minutes
- Lecture 1D: Where Systems Thinking Helps: Understanding the Types of Problems, Theories, Methods, and Tools•21 minutes
- Lecture 2A: Systems Thinking In Practice - Understanding and Engaging with Stakeholders•7 minutes
- Lecture 2B: Network Analysis, Participatory Impact Pathways Analysis, and Summary•11 minutes
12 readings•Total 120 minutes
- Syllabus•10 minutes
- Module Learning Objectives•10 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 2012•10 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 systems•10 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 assignment•Total 30 minutes
- Quiz Module 1•30 minutes
1 discussion prompt•Total 10 minutes
- Up for Discussion•10 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 videos•Total 75 minutes
- Video: System Conceptualization and Mapping•2 minutes
- Lecture 3A: System Conceptualization and Mapping: Introduction to Causal Loop Diagrams•6 minutes
- Lecture 3B: Causal Loop Diagrams: Basic Components•11 minutes
- Lecture 3C: Causal Loop Diagrams: Sources of Data, Strengths, and Weaknesses•12 minutes
- Lecture 4A: Introduction to Community-Based Causal Mapping Workshop•12 minutes
- Lecture 4B: Community-Based Causal Mapping Workshop Part 1•7 minutes
- Lecture 4C: Community-Based Causal Mapping Workshop Part 2•9 minutes
- Tutorial 1: Developing causal loop diagrams using Vensim•15 minutes
9 readings•Total 90 minutes
- Module Learning Objectives•10 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 Manual•10 minutes
- Scriptapedia & Original Scripts for Practice Workshop•10 minutes
- Simplified Variable Elicitation Script•10 minutes
- Group model building using system dynamics: An analysis of methodological frameworks•10 minutes
- Community Based System Dynamics•10 minutes
- Sterman Chapter 5 Causal Loop Diagrams•10 minutes
1 assignment•Total 30 minutes
- Quiz Module 2•30 minutes
1 discussion prompt•Total 10 minutes
- Up for Discussion•10 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 videos•Total 159 minutes
- Video: System Dynamics Simulation Using Stock-and-Flow Diagrams•2 minutes
- Lecture 5A: Using Stock and Flow Principles for Simulation•5 minutes
- Lecture 5B: Defining Stocks•12 minutes
- Lecture 5C: Flow and Control Variables•12 minutes
- Lecture 6A: Case Example: Application of Stock and Flow Diagrams to Public Health•23 minutes
- Lecture 6B: Advanced Model of Volume and Quality•10 minutes
- Lecture 6C: Advanced Model: Cure and Prevention Model•25 minutes
- Tutorial 2: Tutorial on How To Develop Stock-and-Flow Diagrams Using Vensim•14 minutes
- Lecture 7A: Analysis Using Agent-Based Models: Trying Things Out•10 minutes
- Lecture 7B: Breakdown of the Agent-Based Approach•15 minutes
- Lecture 7C: Case Study of Epidemic Modeling•15 minutes
- Tutorial 3A: How to use agent-based models for scenario-building using Netlogo•8 minutes
- Tutorial 3B: How to use agent-based models for scenario-building using Netlogo•10 minutes
11 readings•Total 110 minutes
- Module Learning Objectives•10 minutes
- Vensim Model I - Example Stock and Flow Diagram: Technical Quality•10 minutes
- Vensim Model II - Example stock and flow diagram: Quality of services•10 minutes
- Vensim Model III - Performance Based Financing•10 minutes
- Vensim Model IV - Effect of lobying•10 minutes
- Advancing the application of systems thinking in public health - Bishai et all (2014)•10 minutes
- Vensim User Manual•10 minutes
- Sterman Chapter 6 Stocks and Flows•10 minutes
- Module Learning Objectives•10 minutes
- How to do agent-based simulations in the future - Helbing and Balietti (2011)•10 minutes
- Netlogo User Manual•10 minutes
1 assignment•Total 30 minutes
- Quiz Module 3•30 minutes
2 discussion prompts•Total 20 minutes
- Up for Discussion•10 minutes
- Up for Discussion•10 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 videos•Total 42 minutes
- Video: Practical and policy implications•1 minute
- Lecture 8A: How Systems Thinking Can Contribute to Policy Decision Making•9 minutes
- Lecture 8B: Systems Thinking in Top-Down Policymaking•13 minutes
- Lecture 8C: Systems Thinking in Bottom-Up Policymaking•11 minutes
- Lecture 8D: Integration and Summary•5 minutes
- Conclusion Video•3 minutes
3 readings•Total 30 minutes
- Module Learning Objectives•10 minutes
- Advancing the application of systems thinking in health: why cure crowds out prevention•10 minutes
- Chapter 4 & 13 Colander & Kupers•10 minutes
1 assignment•Total 30 minutes
- Quiz Module 4•30 minutes
1 discussion prompt•Total 10 minutes
- Up for Discussion•10 minutes
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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
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.
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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