Average-Cost Pricing and Dynamic Selection Incentives in the Hospital Sector.

Area of Science:

• Health economics
• Healthcare management
• Medical policy

Background:

• Hospitals operating under prospective payment systems, such as diagnosis-related groups (DRGs), face complex incentives.
• Understanding these incentives is crucial for ensuring efficient resource allocation and appropriate patient care.

Purpose of the Study:

• To investigate the dynamic incentives for patient selection in DRG-remunerated hospitals.
• To analyze how hospital altruism and patient characteristics influence DRG price dynamics and treatment decisions.

Main Methods:

• Development of a theoretical model analyzing patient selection within a DRG framework.
• Examination of price dynamics considering variations in patient severity and hospital altruism.

Main Results:

• DRG price dynamics are influenced by hospital altruism and the relationship between patient severity and benefit.
• In a steady state, DRG prices may not provide optimal incentives, potentially leading to undertreatment or overtreatment.
• Hospitals may be incentivized to treat lower-severity patients even when higher-severity patients would be more appropriate.

Conclusions:

• DRG-based prospective payment systems may create suboptimal incentives for patient selection.
• Hospital altruism is a key factor moderating the effects of DRG pricing on treatment decisions.
• Policy adjustments may be needed to align DRG incentives with optimal patient care and resource utilization.