Back to Annual Meeting Page		American Public Health Association 133rd Annual Meeting & Exposition December 10-14, 2005 Philadelphia, PA

Abstract #120156

Eric Finkelstein, PhD and Ian C. Fiebelkorn. RTI International, 3040 Cornwallis Road, Research Triangle Park, NC 27709, 919-541-8074, finkelse@rti.org

We use standard econometric methods and 2000 to 2002 publicly available and nationally representative MEPS data to estimate Medicaid costs separately for coronary heart disease (CHD), congestive heart failure (CHF), hypertension, and stroke. Because these conditions often co-occur, both with each other and with other chronic conditions (e.g., diabetes), it is a challenge to specify a model that captures these costs without double-counting. We present the results of different econometric modeling techniques and discuss the implications of the modeling techniques on cost estimates. We also discuss how states can use these estimates to easily quantify aggregate Medicaid expenditures attributable to these diseases.

Learning Objectives:

• To expose the audience to different econometric modeling techniques that can be used to estimate the cost of comorbid chronic diseases without double counting. The presentation will focus on using the Medical Expenditures Panel Survey to estimate disease-specific costs for the Medicaid program.

Presenting author's disclosure statement:

I wish to disclose that I have NO financial interests or other relationship with the manufactures of commercial products, suppliers of commercial services or commercial supporters.

Recorded presentation