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Related Experiment Videos

Fee-for-data: a strategy to open the HMO black box

W P Welch1, H G Welch

  • 1Urban Institute, Washington, DC, USA.

Health Affairs (Project Hope)
|January 1, 1995
PubMed
Summary

To maintain Medicare utilization data amid managed care growth, Health Maintenance Organizations (HMOs) would submit encounter data for a percentage of Medicare fee-for-service payments. This ensures crucial data collection for policy decisions.

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Area of Science:

  • Health Services Research
  • Health Policy Analysis
  • Medicare Program Evaluation

Background:

  • Managed care, particularly Health Maintenance Organizations (HMOs), is increasingly prevalent within the Medicare program.
  • The growth of managed care poses challenges to traditional methods of collecting utilization data.
  • Accurate utilization data is essential for effective Medicare policy development and impact assessment.

Purpose of the Study:

  • To propose a method for maintaining Medicare utilization data collection.
  • To address the data gaps created by the expansion of managed care in Medicare.
  • To ensure the availability of necessary data for informed Medicare policy and program evaluation.

Main Methods:

  • A proposal requiring HMOs to submit encounter-level claims data.
  • Implementing a capitation payment model adjusted to maintain budget neutrality.
  • Linking HMO reimbursement to a percentage of Medicare fee-for-service rates.

Main Results:

  • The proposed system would capture essential utilization data currently not available.
  • Encounter data would enable better monitoring of healthcare services provided to Medicare beneficiaries in managed care plans.
  • Budget neutrality would be maintained through adjustments in capitation rates.

Conclusions:

  • The proposal offers a feasible solution to capture vital Medicare utilization data.
  • Collecting encounter-level data from HMOs is a necessary investment for program integrity.
  • The primary implementation challenge lies in HMOs' capacity to generate data cost-effectively.

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