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Issues in pooling administrative data for economic evaluation.

Richard T Meenan1, Michael J Goodman, Paul A Fishman

  • 1Center for Health Research, Northwest and Hawaii, Kaiser Permanente Northwest, Portland, OR 97227, USA. richard.meenan@kpchr.org

The American Journal of Managed Care
|January 30, 2002
PubMed
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Pooling health maintenance organization (HMO) administrative data for multisite economic evaluations presents challenges due to variations in care systems, costing, and coding. Addressing these issues is crucial for accurate healthcare cost analysis.

Area of Science:

  • Health Services Research
  • Health Economics
  • Data Management

Background:

  • Managed care, particularly health maintenance organizations (HMOs), is prevalent in US healthcare.
  • Economic evaluation is increasingly used as a management tool in healthcare.
  • HMO administrative data are a valuable resource for measuring utilization and costs.

Purpose of the Study:

  • To describe challenges in pooling HMO administrative cost data for multisite economic evaluations.
  • To discuss the implications of administrative data attributes for costing in multisite studies.
  • To offer practical suggestions for researchers working with pooled multisite cost data.

Main Methods:

  • Review of attributes of administrative data relevant to costing.
  • Description of experiences with pooling multisite cost data.

Related Experiment Videos

  • Identification of lessons learned from pooling data.

    • Main Results:

    • Pooling HMO administrative data is problematic due to system, costing, and coding differences.
    • Specific data attributes impact the accuracy of multisite economic evaluations.
    • Successful pooling requires careful consideration of data variations.

    Conclusions:

    • Multisite administrative data offer significant opportunities for population-based clinical and economic research.
    • Addressing data heterogeneity is essential for reliable multisite economic evaluations.
    • Researchers must be aware of and mitigate challenges in pooling HMO administrative cost data.