A model to predict the cost‐effectiveness of disease management programs

Afschin Gandjour

Health Economics, 2010, vol. 19, issue 6, 697-715

Abstract: High costs and deficits in the care of patients with chronic diseases have triggered numerous programs to improve the quality and efficiency of treatment of chronic diseases. Decision makers need to estimate the impact of a disease management program (DMP) on long‐term costs and cost‐effectiveness in order to decide which programs to introduce. This prediction, however, requires formalizing the relations between a variety of variables. The purpose of this paper is to formalize these relations and develop a model that enhances the quality of predictions of the costs and cost‐effectiveness of a DMP. The model's cost function is able to portray a reduction both of treatment overuse and underuse by improving both physician and patient compliance. The model's applicability is demonstrated by a simulated DMP for patients with hypertension. The application example shows that implementation costs may have a larger financial impact than downstream costs. Copyright © 2009 John Wiley & Sons, Ltd.

Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://doi.org/10.1002/hec.1503

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:wly:hlthec:v:19:y:2010:i:6:p:697-715

Access Statistics for this article

Health Economics is currently edited by Alan Maynard, John Hutton and Andrew Jones

More articles in Health Economics from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley Content Delivery ().