Theory of constraints for publicly funded health systems
Somayeh Sadat (),
Michael Carter () and
Brian Golden ()
Health Care Management Science, 2013, vol. 16, issue 1, 62-74
Abstract:
Originally developed in the context of publicly traded for-profit companies, theory of constraints (TOC) improves system performance through leveraging the constraint(s). While the theory seems to be a natural fit for resource-constrained publicly funded health systems, there is a lack of literature addressing the modifications required to adopt TOC and define the goal and performance measures. This paper develops a system dynamics representation of the classical TOC’s system-wide goal and performance measures for publicly traded for-profit companies, which forms the basis for developing a similar model for publicly funded health systems. The model is then expanded to include some of the factors that affect system performance, providing a framework to apply TOC’s process of ongoing improvement in publicly funded health systems. Future research is required to more accurately define the factors affecting system performance and populate the model with evidence-based estimates for various parameters in order to use the model to guide TOC’s process of ongoing improvement. Copyright Springer Science+Business Media, LLC 2013
Keywords: Theory of constraints; Publicly funded health systems; Goal; Performance measures; System dynamics (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1007/s10729-012-9208-9 (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:kap:hcarem:v:16:y:2013:i:1:p:62-74
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10729
DOI: 10.1007/s10729-012-9208-9
Access Statistics for this article
Health Care Management Science is currently edited by Yasar Ozcan
More articles in Health Care Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().