Influencing Primary Care Antibiotic Prescription Behavior Using Financial Incentives.

Area of Science:

• Health Economics
• Public Health Policy
• Infectious Disease Management

Background:

• Antibiotic resistance is a major public health crisis driven by antibiotic overuse.
• Primary care settings exhibit high rates of inappropriate antibiotic prescriptions (30%-50%).
• Limited analytical research exists on payment model contract design and its impact on diagnostic decision-making.

Purpose of the Study:

• To analyze the impact of action-based incentive payments on reducing inappropriate antibiotic prescriptions.
• To evaluate how payment model contract features influence physician diagnostic decisions.
• To explore the role of information asymmetry and diagnostic accuracy in payment model effectiveness.

Main Methods:

• Development of a stylized physician compensation model.
• Analysis of payer-provider interactions under various contract designs.
• Examination of four scenarios based on diagnostic accuracy (symptom vs. testing) and information asymmetry (public vs. private opportunity cost).

Main Results:

• Action-based incentives can achieve optimal antibiotic prescribing when diagnostic information is symmetric and accurate.
• High specificity diagnostic tests enhance the effectiveness of incentive payments in reducing inappropriate prescriptions.
• In scenarios with private information on provider opportunity costs, incentives alone cannot eliminate inappropriate prescribing.

Conclusions:

• Action-based incentive payments are effective in curbing inappropriate antibiotic use when diagnostic information is transparent and accurate.
• Point-of-care diagnostics are crucial for mitigating unintended consequences in realistic settings with information asymmetry.
• Optimizing payment models requires consideration of diagnostic capabilities and information structures to combat antibiotic resistance effectively.