EconPapers    
Economics at your fingertips  
 

System dynamics modelling to support policy analysis for sustainable health care

G J Lyons and J Duggan

Journal of Simulation, 2015, vol. 9, issue 2, 129-139

Abstract: System dynamics (SD) is an established simulation methodology used to explore the behaviour of social systems over time. The field has addressed challenging sustainability problems in fisheries, urban planning and environmental resource management. It has also been successfully applied to health care, in chronic disease modelling and workforce planning. This paper presents SD models of health-care sustainability, and illustrates two complementary applications of SD: (i) continuous simulation of health-care infrastructure adequacy; and (ii) conceptual modelling of the wider public policy context for health-care sustainability. The infrastructure model provides a simulator for evaluating impacts of population growth and ageing, as well as assessing the likely effects of policy interventions on system sustainability. This model is validated using empirical data from Ireland’s public health service, and its practical application for sustainability analysis is illustrated. Our conceptual endogenous SD model explores a wider system boundary and public policy interdependencies that impact sustainability outcomes.

Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1057/jos.2014.15 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tjsmxx:v:9:y:2015:i:2:p:129-139

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjsm20

DOI: 10.1057/jos.2014.15

Access Statistics for this article

Journal of Simulation is currently edited by Christine Currie

More articles in Journal of Simulation from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:tjsmxx:v:9:y:2015:i:2:p:129-139