Solutions for adverse selection in behavioral health care

Area of Science:

• Health economics
• Managed care policy
• Insurance market dynamics

Background:

• Health plans may discourage enrollment of high-cost individuals, such as those with mental illness, due to financial incentives.
• Managed care cost-control methods can complicate public policy interventions against adverse selection.
• Adverse selection poses a significant challenge within managed care systems.

Purpose of the Study:

• To evaluate three policy approaches for counteracting adverse selection incentives in health plans.
• To assess the viability of risk adjustment, benefit carving out, and payer-plan cost-sharing strategies.

Main Methods:

• The study analyzes theoretical and practical implications of different policy interventions.
• It examines how each approach addresses the problem of health plans avoiding high-cost enrollees.
• The authors consider the effectiveness of these methods within the constraints of managed care.

Main Results:

• Risk adjustment is unlikely to be a highly effective solution for adverse selection.
• Carving out specific benefits (e.g., mental health services) can reduce selection incentives.
• Cost-sharing or risk-sharing mechanisms between payers and plans show potential as policy solutions.

Conclusions:

• Carving out benefits and implementing cost- or risk-sharing are promising policy directions.
• These strategies offer more viable solutions to adverse selection in managed care than risk adjustment.
• Policy interventions need to navigate the complexities of managed care cost-containment.