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Identifying persons with diabetes using Medicare claims data.

P L Hebert1, L S Geiss, E F Tierney

  • 1Division of Health Services Research and Policy, School of Public Health, University of Minnesota, Minneapolis 55455, USA. hebe0031@tc.umn.edu

American Journal of Medical Quality : the Official Journal of the American College of Medical Quality
|January 7, 2000
PubMed
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Identifying Medicare beneficiaries with diabetes requires combining multiple Medicare claims files, using two years of data, and requiring at least two ambulatory care diagnoses. This approach ensures sensitive and specific identification of diabetes cases.

Area of Science:

  • Health Services Research
  • Biostatistics
  • Epidemiology

Background:

  • Accurate identification of Medicare beneficiaries with diabetes is crucial for health services research and resource allocation.
  • Medicare claims data are a valuable resource but require careful validation for disease identification.

Purpose of the Study:

  • To develop and validate a reliable method for identifying individuals with diabetes using Medicare claims data.
  • To establish criteria for sensitive and specific detection of diabetes in Medicare beneficiaries.

Main Methods:

  • Utilized self-reported diabetes status from the Medicare Current Beneficiary Survey as the gold standard.
  • Analyzed Medicare claims data, assessing sensitivity, specificity, and reliability against self-reported status.
  • Evaluated methods combining different claims files, data years, and diagnostic criteria.

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Main Results:

  • A reliable method requires combining multiple Medicare claims files and using two years of data.
  • Requiring at least two ambulatory care diagnoses of diabetes significantly improves identification accuracy.
  • Achieved sensitivity >= 70%, specificity >= 97.5%, and reliability (kappa) >= 0.80.

Conclusions:

  • A validated method using Medicare claims can accurately identify beneficiaries with diabetes.
  • The optimal method depends on specific research objectives and practical considerations.
  • This validated approach enhances the utility of Medicare claims data for diabetes research.