Cost-effectiveness analysis and health care resource allocation: decision rules under variable returns to scale.

Area of Science:

• Health Economics
• Public Health Policy
• Operations Research

Background:

• The provision of health services often assumes constant returns to scale (CRS), a fundamental assumption in economic evaluations.
• This assumption may not hold true in real-world health program administration.
• Understanding scale economies is crucial for efficient resource allocation in healthcare.

Purpose of the Study:

• To challenge the assumption of constant returns to scale in health services.
• To identify and analyze different types of variable returns to scale (VRS) in health programs.
• To derive optimal decision-making rules under VRS for improved health program management.

Main Methods:

• Identification of three types of returns to scale: population, effectiveness, and quality.
• Economic modeling using optimization techniques to derive decision rules under VRS.
• Illustrative examples to demonstrate the application of derived methods.

Main Results:

• Decision rules based on incremental cost-effectiveness ratios (ICERs) and cost-benefit analysis (CBA) are suboptimal under VRS.
• Variable returns to scale significantly impact the optimality of standard economic evaluation tools.
• New optimal decision rules are derived for scenarios with non-constant returns to scale.

Conclusions:

• The assumption of constant returns to scale is frequently violated in health program settings.
• Standard economic decision rules require modification when faced with variable returns to scale.
• The derived optimal decision rules offer a more accurate framework for resource allocation in health economics.