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Match Rates Between Home Health Assessment and Medicare Claims Data.

Momotazur Rahman1, Xiao Joyce Wang1, Jamie M Smith2

  • 1Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, Rhode Island.

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|April 2, 2026
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Summary
This summary is machine-generated.

Home health quality measurement is hindered by declining data accuracy. Linking Outcome and Assessment Information Set (OASIS) data to Medicare enrollment and claims shows decreasing match rates, impacting utilization and payment policy insights.

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Area of Science:

  • Health Services Research
  • Data Analytics
  • Public Health

Background:

  • The Outcome and Assessment Information Set (OASIS) is vital for home health quality assessment.
  • Accurate linkage of OASIS data with Medicare enrollment and claims is crucial for utilization monitoring and payment policy.
  • Preliminary data indicated a potential decrease in OASIS-beneficiary match rates starting in 2019.

Purpose of the Study:

  • To quantify the annual match rates between OASIS assessments and Medicare enrollment.
  • To assess the annual match rates between OASIS assessments and fee-for-service (FFS) home health claims.
  • To analyze these match rates from 2017 through 2023.

Main Methods:

  • A cohort study utilizing 100% of OASIS assessments from 2017-2023.
  • Linking OASIS data to the Master Beneficiary Summary File (MBSF) and FFS home health claims.
  • Analyzing the proportion of OASIS assessments matched to beneficiaries and FFS claims matched to OASIS assessments.

Main Results:

  • The proportion of OASIS assessments linked to a Medicare beneficiary declined from 89.8% in 2017 to 76.4% in 2023.
  • The match rate of FFS claims to an OASIS assessment decreased from 96.8% to 73.9% over the study period.
  • By 2023, all state-level FFS claims to OASIS assessment match rates fell below 90%.

Conclusions:

  • A reduced ability to accurately link OASIS assessments to Medicare beneficiaries and claims exists.
  • Researchers must exercise caution when interpreting findings from linked Medicare claims and OASIS data.
  • Addressing these data linkage issues with Centers for Medicare & Medicaid Services (CMS) is necessary for reliable research and policy.