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How many myocardial infarctions should we rule out?
R L Wears1, S Li, J D Hernandez
1Department of Surgery, University of Florida, Jacksonville.
Annals of Emergency Medicine
|September 1, 1989
Summary
Computer simulations reveal that less intensive care strategies for acute myocardial infarction (AMI) save money but increase mortality. Optimal admission decisions balance cost-effectiveness with patient outcomes, suggesting higher false-positive rates may be acceptable.
Area of Science:
- Cardiology
- Health Economics
- Decision Analysis
Background:
- Acute myocardial infarction (AMI) management involves complex decisions regarding patient admission and care intensity.
- Current admitting strategies vary, impacting healthcare costs and patient outcomes.
Purpose of the Study:
- To estimate the impact of four different admitting strategies on cost, mortality, and admission accuracy for AMI patients.
- To determine optimal admission threshold probabilities and acceptable false-positive rates.
Main Methods:
- Computer simulation modeling was employed to analyze four admitting strategies: coronary care unit, intermediate care unit, routine ward care, and outpatient follow-up.
- The simulation evaluated cost, patient outcomes, admission threshold probabilities, and false-positive admission rates.
Main Results:
- Less intensive care strategies were found to be more cost-effective but led to increased mortality and decreased life expectancy.
- Analysis suggested that optimal strategy selection involves identifying a cost-effectiveness cutoff (e.g., $1-2 million per life saved).
- Acceptable false-positive admission rates could range from 70% to 80%, indicating that overly restrictive policies may be suboptimal.
Conclusions:
- Admitting strategies for AMI should be chosen based on a balance between cost savings and patient life expectancy.
- The findings suggest that clinicians may be closer to optimal decision-making than previously assumed, with potentially higher acceptable false-positive rates.
- These insights can inform evidence-based guidelines for AMI patient management and resource allocation.