PI: David B. Matchar, MD, FACP, FAHA

Anticoagulation Management Event/Cost Model

ACME provides estimates of event rates and cost for various strategies to improve anticoagulation quality, for example, usual physician care, anticoagulation service care, and patient self-testing. Inputs can be modified to reflect local experience (eg, distributions of INRs for different management strategies, costs for products and services, and so on.) This Excel model is available for download, to be run locally.

PI: David B. Matchar, MD, FACP, FAHA

Atrial Fibrillation Antithrombosis Module

This discrete semi-Markov model is programmed in C++. Two web-based applications are available on this link: a "natural history" simulation and a cost-effectiveness model of stoke prevention strategies for patients with atrial fibrillation. Note that model inputs are relatively old (from the early 1990s) and are currently undergoing revision.

Agreement Information

PI: David B. Matchar, MD, FACP, FAHA

The Alzheimer's Disease Model was developed for the Center for Medicare and Medicaid Services (CMS) to assist in the evaluation of various strategies for testing patients at risk for Alzheimer's disease. This model is programmed in DATA. Individuals interested in more details can download the report to CMS and can contact: david.matchar@duke.edu

Dates: 10/2004-9/2005

PI: David B. Matchar, MD, FACP, FAHA

Revise the DSPM to incorporate state level information and to generate state-level estimates of the burden of disease and the impact of new public health initiatives. Though this can be applied to a wide variety of programs and regions, we will initially focus on improvement of hypertension control in the state of Mississippi. This project will be done in collaboration with the Centers for Disease Control, Cardiovascular Health Branch, the Mississippi Health Policy Center, and Dr. George Howard, a leading stroke epidemiologist at University of Alabama, Birmingham. Specific Aims: 1) Develop a state-level version of the Duke Stroke Policy model based on state-level data regarding demographics, the distribution of risk factors, and local patterns of resource use; 2) Create a standard report that responds to the information needs of specific policy makers, for example, legislators and their staffers involved in oversight of health insurance.

Dates: 11/2004-5/2006

 

PI: David Matchar, MD, FACP, FAHA

To develop an advanced chronic kidney disease pharmacoeconomic model as a publicly available repository of best epidemiological evidence, which can be used to evaluate the development and outcomes of advance chronic kidney disease.

PI: Amy Abernethy, MD

In a tailored cost-effectiveness analysis, we studied differences in cancer pain management between guideline-based care (GBC), oncologist-based care (OBC), and usual care (UC). GBC, though modestly more expensive, led to improved cancer pain control as compared to OBC and UC. We created an evidence-based decision analytical model to provide insight into the burden of cancer pain, and to illustrate the potential impact of following cancer pain guidelines.This Excel model, designed to assist clinicians in weighing the effectiveness and costs of different cancer pain management strategies, is available for download at:

 

PI: David Matchar, MD, FACP, FAHA and Gregory P. Samsa, PhD

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Stroke Policy Model (SPM)

This discrete semi-Markov model is programmed in several versions including C++ and SAS-IML. This is the parent from which several applications are derived including the Atrial Fibrillation (AFAM), Antithrombosis Module, the CDC State Stroke Policy Model, and the Anticoagulation Management Event/Cost Model (ACME). We also provide screen shots to illustrate how other applications can be generated from this parent model.

SPM Background
SPM Calculation Engine

Documentation of SPM's Function
iSIM Illustrations
Additional SPM Documentation and Validation