Cost effectiveness of high risk and population approaches for preventing CHD: A comparative study in New Brunswick, Canada.

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Joyendu Bhadury, Professor, Information Systems and Supply Chain Management (Creator)
Richard A. Ehrhardt, Professor (Creator)
The University of North Carolina at Greensboro (UNCG )
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Abstract: This paper uses management science methodology to compare the cost-effectiveness of two different approaches to preventing coronary heart disease in the province of New Brunswick, Canada. The general model utilized included realistic assumptions about implementation costs, effectiveness levels, budget constraints and implementation strategies. Integer linear programming methods were then used to examine the cost-effectiveness of the two approaches, as well as to compare them with a third "integrated" approach which combined elements of both approaches. The study concludes that under ideal circumstances, a population approach has greater potential to prevent CHD, and when costs were considered from a societal perspective, it is also the more cost-effective option. However, under more realistic outcome conditions we found that a high risk approach may be more effective, and when costs were considered from the perspective of the publicly funded health care system we found that there are conditions under which the high risk approach is more cost-effective. Our final conclusion is that an integr

Additional Information

Language: English
Date: 2008
healthcare management science, cost-effectiveness analysis, integer programming applications, coronary heart disease, international business

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