EconPapers    
Economics at your fingertips  
 

A system dynamics approach to planning and evaluating interventions for chronic disease management

Hyojung Kang, Harriet Black Nembhard, Nasrollah Ghahramani and William Curry

Journal of the Operational Research Society, 2018, vol. 69, issue 7, 987-1005

Abstract: Studies have been reported on the applications of systems science to chronic disease management, but few, if any, have concentrated on chronic kidney disease (CKD). We examined the impact of a system dynamics approach to the evaluation of interventions in care of patients with CKD. We developed a stock flow simulation model and a multi-objective goal programming model. After calibrating the model, eight scenarios were analysed to measure intervention effects. Physician education (PE) had the most significant impact on reducing disease progression rate (DPR) from Stage 3 to Stage 4, while care coordination had a substantial impact on decreasing DPR Stage 4 to Stage 5. The addition of either CME or primary care team building to PE led to significant reductions in DPR for patients with Stage 3 CKD. The goal programming model indicated that a growing number of primary care physicians and care managers are needed to manage CKD patients overtime. This study showed that the stock flow model is a potentially powerful tool for supporting informed decision-making for planning and implementing interventions at various phases.

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://hdl.handle.net/10.1057/s41274-017-0279-3 (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:tjorxx:v:69:y:2018:i:7:p:987-1005

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjor20

DOI: 10.1057/s41274-017-0279-3

Access Statistics for this article

Journal of the Operational Research Society is currently edited by Tom Archibald

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

 
Page updated 2025-03-20
Handle: RePEc:taf:tjorxx:v:69:y:2018:i:7:p:987-1005