Clone of IM-91683 from jacqui and vincy Summary of paper map produced by participants at the compelling case for prevention workshop 6 june 2017. Current premier version for vincy to update

This is a systems model that allows groups of professionals to discuss 'prevention at scale' opportunities and the implications of numbers 'needed to treat' in any local population. In terms of public health interventions this equates to reach, compliance and efficacy, which are usually lower than one might suspect.

Dynamics of Emergency Department Crowding Initial Simplest Simulation of the View from the waiting room. Start of a simple introductory series which proceeds to IM-338  A simple CLD is at IM-340

Causal loop diagram based on Jack  Homer's  Worker burnout: a dynamic model with implications  for prevention and control See IM-333 for simulation model and IM-641 for Rich Picture CLD

System Dynamics Review 1985 1(1)42-62

 

balancing an integrated eye care training program with service needs and available resources

From A Philosophical Basis of Medical Practice Toward a Philosophy and Ethic of the Healing Professions Edmund D Pellegrino David C Thomasma OUP Oxford 1981 Ch6 The Anatomy of Clinical Judgments p119-152 Note judgments have consequences of action, decisions can separate out the knowledge used. 

Personal versus Situational Dynamics: Implications of Barry Richmond’s Models of Classic Experiments in Social Psychology James K. Doyle, Khalid Saeed, Jeanine Skorinko Department of Social Science and Policy Studies Worcester Polytechnic Institute 2008. For background on the infamous 1971 study that pitted students v students in the roles of prisoners & guards see http://www.prisonexp.org 

Patients on Treatment represented as people in a swimming pool. Fast Switchers change costumes. Lapsed Users sit by the pool. Misdiagnosed people are in the wrong pool. Extended from IM-305

from Teece's 2007, 2017-19 articles and see wikipedia. See also Panarchy esp Institutional Adaptive Cycles insight

Clone of IM-91683 from jacqui and vincy Summary of paper map produced by participants at the compelling case for prevention workshop 6 june 2017. 

This model shows the dynamics of use of a new medical technology based on its scope of use and perceived relative benefit. The technology needs cumulative usage to fix its glitches, and the benefits will be diluted  as the scope of use widens.

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

Jack Homer's model via ithink and Mark Heffernan.  From Jack's  paper Worker burnout: a dynamic model with implications  for prevention and control System Dynamics Review 1985 1(1)42-62. See IM-641 for the Causal loop diagram

Shiffman's global health political priority framework as described in 2007 Lancet article with maternal mortality example

Summary of Gizem Aktas M Sc thesis and prize winning paper from ISDC2018 extended abstract pdf 

WIP Simplest Innovation diffusion model from Sterman Business Dynamics Ch9, with Correlation coefficients added, from Taylor TRB et al. (2010)  Improving model understanding using statistical screening System Dynamics Review 26 (1) p 73-87

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).

Clone of Clone 4of IM 27348, of JPS IM-27150 of original JPS IM-14117 See reference in diagram notes. WIP for Environment part of primary care regional model

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.

Rich picture version of Causal loop diagram based on Jack  Homer's paper Worker burnout: a dynamic model with implications  for prevention and control System Dynamics Review 1985 1(1)42-62 See IM-333 for the Simulation model

 

DIabetes incidence inflow, Prevalence stock and deaths outflow

The dynamics of health care spending, or why it keeps growing. Adapted from Fig 7.6 p154 of Sauwakon Ratanawijitrasin's PhD thesis SUNY Albany 1993 "The dynamics of health care finance: A feedback view of system behavior."

Rich picture CLD of Tradeoffs in Responses to Work Pressure in the Service Industry by Rogelio Oliva California Mgt Review 2001 43(4) 26-43 paper

Aim: To gain insight into what map and model representations in applied systems methods in IM-1267 can assist identifying and explaining the improvement strategies (leverage points) described by Donella Meadows Places to Intervene Article. The context is social learning for collective action to improve real world events. Information Sources are adapted from IM-920