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Health status adjustments for Medicare capitation
1Office of Research and Demonstrations, HCFA, Baltimore, MD 21207.
Summary
Payment adjustments for health plans can mitigate biased selection in Medicare. Measures based on prior healthcare use are the most practical adjustors currently available for implementation.
Area of Science:
- Health economics
- Healthcare policy
- Biostatistical analysis
Background:
- Increasing enrollment of Medicare beneficiaries in capitated health plans necessitates addressing biased selection.
- Biased selection occurs when health plans attract healthier individuals, potentially destabilizing the system.
- Payment adjustments are a key strategy to compensate health plans for enrollee health status variations.
Purpose of the Study:
- To review and evaluate proposed health status adjustors for Medicare capitated payment systems.
- To assess the statistical performance of various adjustors compared to the current Medicare Health Maintenance Organization (HMO) payment formula.
- To identify practical and implementable adjustors for current policy use.
Main Methods:
- Review of proposed health status adjustors including perceived health, functional status, service utilization, entitlement data, mortality, and risk factors.
- Statistical comparison of the performance of these adjustors against the existing Medicare HMO payment formula.
- Assessment of the practical feasibility of implementing different adjustor types.
Main Results:
- Multiple proposed health status adjustors demonstrate superior statistical performance compared to the current Medicare HMO payment formula.
- Adjustors based on prior health service utilization show significant potential for improved accuracy and fairness.
- Other adjustors, while statistically promising, require further development and validation.
Conclusions:
- Health status adjustors are crucial for equitable payment in Medicare capitated systems.
- Prior healthcare service use represents a practical and effective basis for current payment adjustment strategies.
- Further research and testing are recommended for advanced adjustors while prioritizing the implementation of service-use-based measures.