An optimal contract approach to hospital financing

Area of Science:

• Health Economics
• Hospital Management
• Information Economics

Background:

• Traditional hospital financing models often assume a single decision-maker, which is unrealistic.
• Existing models typically use mixed financing schemes (lump-sum and cost-based payments).
• The interplay between hospital managers, doctors, and public authorities in financing decisions is complex.

Purpose of the Study:

• To develop a novel model of hospital financing that incorporates distinct decision-making roles for managers and doctors.
• To analyze how information asymmetry regarding patient casemix and illness severity impacts financing contracts.
• To design contracts that efficiently elicit information in a two-stage agency setting.

Main Methods:

• Development of a theoretical model of hospital financing with multiple agents (public authorities, hospital managers, doctors).
• Analysis of a two-stage agency problem with sequential contracting.
• Modeling of information asymmetry at different levels of the healthcare system.

Main Results:

• Public authorities contract with managers on financing and equipment, while managers contract with doctors on resources and remuneration.
• Doctors, possessing patient-specific information, select treatments (low-tech vs. high-tech) and influence fee-for-service payments.
• The model demonstrates how contracts can be structured to overcome information asymmetries and improve efficiency.

Conclusions:

• A multi-agent model with differentiated responsibilities for managers and doctors offers a more realistic approach to hospital financing.
• Optimized contracting strategies are crucial for efficiently managing information and resources in healthcare.
• This framework provides insights into designing effective financial incentives within complex hospital systems.