Addition of two extra articles on specific nicotine dependence (addiction and habituation) with conceptual maps to initial version
Nicotine addiction dynamics
From Fig.1 Communication for Social Change: An Integrated Model for Measuring the Process and Its Outcomes/Maria Elena Figueroa et al (2002) paper (may need free registration)
Convergence Model of Communication
Decision making accuracy depends on ecological validity of indicator uses and subjective use of cues (fallible tangible indicators) Extended to clinical risk and action in IM-62657 See medical decision making 2016 article abstract
Brunswik Lens Model
A combination of qualitative and quantitative methods for implementing a systems approach, including virtual intervention experiments using computer simulation models. See also
Complex Decision Technologies IMInterventions and leverage points added in IM-1400 (complex!)
Systems Methods
This is a high level system dynamics model which is built to
determine the dynamic relationships of the FSA and Followups capacity.
Therefore, it can help clinicians to find out the optimistic method in order to
reduce the waiting list. At past clinicians were seeing more FSA patients,
however, after few months, the followups patients overwhelmed the clinics.
Therefore waiting list has been built up again. By running this model,
clinicians can find out the balanced leverage point(s). New Model has been developed, this is a very draft model.
Outpatient Clinics Patient Flow
Summary of US apa2017 report pdf link
Stress and Health Disparities
WIP map of ebola in west Africa based on African Affairs
Article and SEIR framework
Ebola and Structural Violence
Rich picture causal loops unfolding version of Insight 714, Based on Lyneis JM and Ford DN System Dynamics Applied to Project Management Syst. Dyn. Rev. 23, 157-189 (2007)
Project Management Unfolding Causal Loops
Barry Richmond's model describing behavior and anxiety theory for the Milgram experiment. Richmond, B. (1977). “Generalization with Individual Uniqueness: Modeling the Milgram Experiments.” Technical Report D-2508-2, System Dynamics Group, Sloan School of Management, MIT.
Personal versus Situational Dynamics: Implications of Barry Richmond’s Models of Classic Experiments in Social Psychology by James K. Doyle, Khalid Saeed, Jeanine Skorinko Department of Social Science and Policy Studies Worcester Polytechnic Institute 2008
See also CLE Class Notes 2014
Milgram Experiment
Black and white Unfolding Stock and flow map version of IM 1498
Clone of Extreme weather events effects on hospitals
Addition of glucagon hormone action to control glucose homeostasis extended from IM-586
Glucose regulation CLD 2
Expansion of IM-399 A stock flow structure through hospitals with high value activities linked by transitions. Based on the project described by IM-10386 Compare with IM-622 Context
Hospital flows with value and transitions
WIP Based on TAble 1 Jackson 2014 article
Applying COM-B to medication adherence
Bond Graph Kinetic Modeling Metabolic Map by J LeFevre http://www.systemdynamics.org/conferences/2004/SDS_2004/PAPERS/379LEFEV.pdf
See also IM-857 and IM-2235 for more detail
Michaelis Menten Enzyme Metabolic Map
WIP ideas for group model building representation
Alcohol harms overview NSW
Dynamics of Emergency Room Crowding with treatment spaces and boarders waiting for ward beds (access block if the wait is too long).
Emergency Department Patient Flow Model 3 with Boarders
From Margaret Stringfellow's PhD thesis from Nancy Leveson's Engineering a Safer World
Process Control Structure
Addition of Incident Reporting and Prevention Interventions to a simple error chain of medication errors for patients in hospital IM-10113
Medication error with incident reporting
Clone of IM-11079, incorporating Mark Heffernan's SImple SD ithink v10 Model of Hospital Patient Flow done for particle filtering in September 2014
Patient Flows ED and Wards
A stock flow structure used to investigate interventions to improve the monthly patterns of patient flows through hospitals. Simplest structure to explain IM-10386 Expanded in IM-13966
Hospital flows monthly pattern
A simplified dynamic model, adapted from Engineering perspectives on healthcare delivery: Can we afford technological innovation in healthcare? Rouse, William B Systems Research and Behavioral Science 2009 Vol 26 (5) p573-582 abstract Developed by Mark Heffernan. Addition of learning curve effects IM-614 to Insight 435
Technology and Healthcare Costs and Outcomes 3
A model of an infectious disease and control
Disease Dynamics (Agent Based Modeling) Guy Lakeman
Sydney Public Hospital 2012 (RCW)
Frequent Flyers Study
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.
Health & Health Care
