The effects of subsidies and incentives for private health insurance on the mix of public and private hospital use. The central role of adverse selection/moral hazard on private health insurance sustainability. See also  updated version  around 2017

The effects of subsidies and incentives for private health insurance on the mix of public and private hospital use. The central role of adverse selection/moral hazard on private health insurance sustainability. See also updated version around 2017

See reference in diagram notes. WIP for Environment part of primary care regional model. GP centric calibration by JPS at  IM-14117  See also  IM-3126  for Regional Health Service Use Context
See reference in diagram notes. WIP for Environment part of primary care regional model. GP centric calibration by JPS at IM-14117 See also IM-3126 for Regional Health Service Use Context
 Adapted from Fig 10.1 p.393 of the Book: James A. Forte ( 2007),  Human Behavior and The Social Environment: Models, Metaphors and Maps for Applying Theoretical Perspectives to Practice   Thomson Brooks/Cole Belmont ISBN 0-495-00659-9

Adapted from Fig 10.1 p.393 of the Book: James A. Forte ( 2007), Human Behavior and The Social Environment: Models, Metaphors and Maps for Applying Theoretical Perspectives to Practice  Thomson Brooks/Cole Belmont ISBN 0-495-00659-9

From David Rees PhD dissertation "Developing a Theory of Implementation for
Better Chronic Health Management" Health Services Research
Centre, Victoria University of Wellington, New Zealand
From David Rees PhD dissertation "Developing a Theory of Implementation for Better Chronic Health Management" Health Services Research Centre, Victoria University of Wellington, New Zealand
 Causal Loop Rich Picture unfolding from Repenning, N. and J. Sterman (2002). Capability Traps and Self-Confirming Attribution Errors in the Dynamics of Process Improvement. Administrative Science Quarterly, 47: 265 - 295. http://jsterman.scripts.mit.edu/docs/Repenning-2002-CapabilityTraps.pdf

Causal Loop Rich Picture unfolding from Repenning, N. and J. Sterman (2002). Capability Traps and Self-Confirming Attribution Errors in the Dynamics of Process Improvement. Administrative Science Quarterly, 47: 265 - 295. http://jsterman.scripts.mit.edu/docs/Repenning-2002-CapabilityTraps.pdf

WIP Based on Sheldrick Implementation science 2016  article  A system dynamics model of clinical decision thresholds for
the detection of developmental-behavioral disorders. Vensim model modified to show patterns   
WIP Based on Sheldrick Implementation science 2016 article A system dynamics model of clinical decision thresholds for the detection of developmental-behavioral disorders. Vensim model modified to show patterns

 

 From Rudolph JW Morrison JB and Carroll JS (2009) The Dynamics of Action-Oriented Problem Solving: Linking Interpretation and Choice. Academy of Management Review 34 (4) p733-756  Available online  . This paper won the Forrester Award for 2012 and the  presentation talk video  is available. The pre

From Rudolph JW Morrison JB and Carroll JS (2009) The Dynamics of Action-Oriented Problem Solving: Linking Interpretation and Choice. Academy of Management Review 34 (4) p733-756 Available online . This paper won the Forrester Award for 2012 and the presentation talk video is available. The presentation  paper abstract is available in System Dynamics Review 2013 here

 SIR model with herd immunity - Metrics by Guy Laekman   A Susceptible-Infected-Recovered (SIR) disease model with herd immunity

SIR model with herd immunity - Metrics by Guy Laekman

A Susceptible-Infected-Recovered (SIR) disease model with herd immunity

 Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus.  We add simple containment meassures that affect two paramenters, the Susceptible population and the rate to become infected.  The initial parametrization is based on the su

Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus.

We add simple containment meassures that affect two paramenters, the Susceptible population and the rate to become infected.

The initial parametrization is based on the suggested current data. The initial population is set for Catalonia.

The questions that we want to answer in this kind of models are not the shape of the curves, that are almost known from the beginning, but, when this happens, and the amplitude of the shapes. This is crucial, since in the current circumstance implies the collapse of certain resources, not only healthcare.

The validation process hence becomes critical, and allows to estimate the different parameters of the model from the data we obtain. This simulation approach allows to obtain somethings that is crucial to make decisions, the causality. We can infer this from the assumptions that are implicit on the model, and from it we can make decisions to improve the system behavior.

Yes, simulation works with causality and Flows diagrams is one of the techniques we have to draw it graphically, but is not the only one. On https://sdlps.com/projects/documentation/1009 you can review soon the same model but represented in Specification and Description Language.

A simple generic rich picture view of interactions among concerned people with needs services and resources and abilities (including learning), which can be used as a pattern for many individual health care insights.
A simple generic rich picture view of interactions among concerned people with needs services and resources and abilities (including learning), which can be used as a pattern for many individual health care insights.
WIP summaries of  bill mitchell's blog  postings related to the connections between macroeconomics and wellbeing, particularly via unemployment and inflation
WIP summaries of bill mitchell's blog postings related to the connections between macroeconomics and wellbeing, particularly via unemployment and inflation
 A Rich Picture Story representation of ED overcrowding based on Using system dynamics principles for conceptual modelling of publicly funded hospitals] by HJ Wong et al Journal of the Operational Research Society 63, 79-88 (January 2012) | doi:10.1057/jors.2010.164 Click the +view story on the bott

A Rich Picture Story representation of ED overcrowding based on Using system dynamics principles for conceptual modelling of publicly funded hospitals] by HJ Wong et al Journal of the Operational Research Society 63, 79-88 (January 2012) | doi:10.1057/jors.2010.164 Click the +view story on the bottom left

 From Robert Wears Thesis, Modified from Hollnagel & Sunstrom 2006 p 341 and urban disaster risk stresses and shocks for comparison

From Robert Wears Thesis, Modified from Hollnagel & Sunstrom 2006 p 341 and urban disaster risk stresses and shocks for comparison

 Simple Bass diffusion modified from Sterman Business Dynamics Ch9. Compare with the SI infectious disease model Insight  584 .  Clone of model:  https://insightmaker.com/insight/610/Diffusion-of-Innovation-Bass-Model

Simple Bass diffusion modified from Sterman Business Dynamics Ch9. Compare with the SI infectious disease model Insight 584.

Clone of model: https://insightmaker.com/insight/610/Diffusion-of-Innovation-Bass-Model

 A RIch Picture unfolding representation of ED overcrowding based on Using system dynamics principles for conceptual modelling of publicly funded hospitals by HJWong et al Journal of the Operational Research Society advance online publication, 27 April 2011 doi:10.1057/jors.2010.164. 

A RIch Picture unfolding representation of ED overcrowding based on Using system dynamics principles for conceptual modelling of publicly funded hospitals by HJWong et al Journal of the Operational Research Society advance online publication, 27 April 2011 doi:10.1057/jors.2010.164. 

 An adaptation of the URBAN1 Model from Navid Ghaffarzadegan, John Lyneis and George P Richardson's How small system dynamics models can help the public policy process. System Dynamics Review 27: 22-44 (2011) Conference version at  http://bit.ly/HlxtZj   and LA Alfeld and AK Graham's Introduction to

An adaptation of the URBAN1 Model from Navid Ghaffarzadegan, John Lyneis and George P Richardson's How small system dynamics models can help the public policy process. System Dynamics Review 27: 22-44 (2011) Conference version at http://bit.ly/HlxtZj  and LA Alfeld and AK Graham's Introduction to Urban Dynamics 1974 p 195.

An element of Perspectives: The Foundation of Understanding and Insights for Effective Action. Register at http://www.systemswiki.org/

From David Rees PhD dissertation "Developing a Theory of Implementation for
Better Chronic Health Management" Health Services Research
Centre, Victoria University of Wellington, New Zealand
From David Rees PhD dissertation "Developing a Theory of Implementation for Better Chronic Health Management" Health Services Research Centre, Victoria University of Wellington, New Zealand