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Costing medical care: using Medicare administrative data
J R Lave1, C L Pashos, G F Anderson
1Graduate School of Public Health, University of Pittsburgh, PA 15261.
Medical Care
|July 1, 1994
Summary
This study details how the Program on Research on the Treatment of Specific Conditions (PORTS) utilizes Medicare administrative records to analyze medical care costs for various conditions, assessing both direct and opportunity costs.
Area of Science:
- Health Economics
- Medical Informatics
- Public Health Policy
Background:
- Medicare administrative records offer a vast dataset for analyzing healthcare costs.
- Previous studies have highlighted the need for detailed cost analysis of specific medical conditions within large populations.
- Understanding healthcare costs is crucial for resource allocation and policy development.
Purpose of the Study:
- To describe the methodology employed by the Program on Research on the Treatment of Specific Conditions (PORTS) in utilizing Medicare data.
- To evaluate the strengths and weaknesses of Medicare administrative records for cost-related research.
- To detail the estimation of direct and social (opportunity) costs associated with treating specific conditions in Medicare beneficiaries.
Main Methods:
- Analysis of Medicare administrative records systems.
- Examination of relevant data elements and their changes over time.
- Application of data to estimate treatment costs for specific conditions.
Main Results:
- Identification of key data elements within Medicare records for cost analysis.
- Methodology for estimating the cost to Medicare for treating specific conditions.
- Framework for determining the cost of services for patient cohorts identified through other databases.
Conclusions:
- Medicare administrative data are valuable for studying the medical care costs of specific conditions.
- The PORTS methodology provides a robust approach to estimating direct and opportunity costs.
- This approach can be extended to integrate data from diverse sources for comprehensive cost analysis.