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Design and development of a coronary heart disease decision support tool
Mark J Brekke1, Thomas E Kottke, Lee N Brekke
1Brekke Associates, Inc., Minnetrista, MN 55364, USA. mjbrekke@brekkeassociatesinc.com
Insights
A new decision support tool estimates coronary heart disease (CHD) treatment impacts on population outcomes. This internet-based tool aids clinicians and policymakers in understanding intervention effects on various CHD states.
Area of Science:
- Cardiovascular Medicine
- Health Informatics
- Public Health
Background:
- Coronary heart disease (CHD) poses a significant public health challenge.
- Estimating the population-level impact of various CHD treatments is complex.
- Clinicians and policymakers require tools to guide treatment decisions.
Purpose of the Study:
- To develop a decision support tool for estimating the population-level impact of CHD treatments.
- To provide a framework for simulating disease progression and intervention outcomes.
- To aid clinicians and policymakers in making informed decisions regarding CHD management.
Main Methods:
- Development of seven CHD-specific modules (e.g., congestive heart failure, acute coronary syndrome) and a healthy individual module.
- Creation of event-decision-intervention-outcome flow pathways within each module.
- Integration of population-based disease state probabilities (Olmsted County) and clinical trial intervention efficacy data.
Main Results:
- A functional decision support tool has been created.
- The tool simulates the risk of clinical events and intervention outcomes.
- It enables estimation of intervention impact on a population level.
Conclusions:
- The developed tool can effectively estimate the population-level impact of CHD interventions.
- It offers a valuable resource for clinicians and policymakers in managing CHD.
- The tool will be publicly accessible via the internet.
Abstract:
We are developing a decision support tool to help clinicians and policy makers estimate the impact of various coronary heart disease (CHD) treatments on disease outcomes for populations. We have created seven modules that correspond to states commonly encountered with CHD, that is, congestive heart failure, tachyarrhythmia, stable angina pectoris, acute coronary syndrome, bradycardia, postmyocardial infarction, and postcoronary artery bypass grafting, and a healthy individual module. Within each module, we created event-decision- intervention-outcome flow pathways to simulate risk of a clinical event and the expected outcome as the result of a particular intervention. We will combine disease state probability estimates based on the experience of the Olmsted County, Minnesota, population and estimates of intervention efficacy based on clinical trial data to estimate the impact of interventions on a population. We plan to make this tool available to the public through the internet.