A 101 (or 100.5) on Systems Approaches to Capacity Building for Community Health _Ligia Paina_5.8.14
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Transcript of A 101 (or 100.5) on Systems Approaches to Capacity Building for Community Health _Ligia Paina_5.8.14
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Causal loop diagrams
A brief introduction
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© 2014, Johns Hopkins University. All rights reserved.
Overview of systems thinking analytical tools
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© 2014, Johns Hopkins University. All rights reserved.
Example of applying systems thinking approach
“Overview of system dynamics modeling approach”, from: Martinez and Richardson (2013)
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© 2014, Johns Hopkins University. All rights reserved.
What are causal loop diagrams and why are they useful?
• System dynamics method used to develop a qualitative conceptualization of a system
• Focus on visualizing internal, mental models• Facilitates consensus-building and brainstorming• Can help bring together perspectives and data from
different disciplines• Complements “traditional” data collection and
analysis
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© 2014, Johns Hopkins University. All rights reserved.
What are causal loop diagrams and why are they useful?
• Emphasis on causality and feedback effects
• Causal loop diagrams indicate the sign and direction of the causality and the type of feedback in the system
• Communication – NOT simulation
• Whether modeling is appropriate depends on the question you are trying to solve
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© 2014, Johns Hopkins University. All rights reserved.
Paina et al (under review) Dual practice policy in Uganda
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© 2014, Johns Hopkins University. All rights reserved.
Rwashana et al (2008) Immunization System CLD
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© 2014, Johns Hopkins University. All rights reserved.
Causal loop diagram components
• Causality: AB• Changes in B are caused by changes in A
• Polarity: + or –• If A and B change in the same direction (either both increase or both
decrease), then polarity is +
• If A and B change in opposite directions, then polarity is –
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© 2014, Johns Hopkins University. All rights reserved.
Causal loop diagram components
• Feedback loops – a change in the system catalyzes a cascade through other variables to either reinforce or balance the initial change.• Reinforcing feedback loop (vicious or virtuous) – amplifying effect
• Balancing feedback loops – dampening effect
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© 2014, Johns Hopkins University. All rights reserved.
Causal loop diagram components
• Delays• The effect that A has on B is delayed (||)
• Balancing loops are often self-regulating, experience delays
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© 2014, Johns Hopkins University. All rights reserved.
Developing a causal loop diagram
• Qualitative and quantitative data collected using rigorous methods• Iterative process for identification of key variables and causal linkages
• E.g. Rwashana’s dynamic systems methodology
• Stage 1 – Problem statement
• Stage 2 – Field studies
• Stage 3 – Model building ***This is where CLDs come in***
• Stage 4 – Case study
• Stage 5&6 – Simulations and Policy analysis
• Participatory modeling and diagram development• Group model building
• E.g. Peter Hovmand’s work (for example (2012) Hovmand - Group Model-Building ‘Scripts’ as a Collaborative Planning Tool)
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© 2014, Johns Hopkins University. All rights reserved.
Thank you