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Other or Unknown race Medicare beneficiaries (percent)
Maryland - Somerset

Measurement Period: 2012

County

1.04%

State

National

4.32%

HP 2020

  • 1.04
  • 3.04
  • 4.32
Medicare fee-for-service beneficiaries who are Other or Unknown race

Numerator

Number of Medicare fee-for-service beneficiaries who are not non-Hispanic white, African American, or Hispanic. Includes Other and Unknown race.

Population

Number of Medicare fee-for-service beneficiaries

2012 - Dimensions

  • Total

    1.04%
    0
    Comparison of 25 Counties
    1.04%
      Low: 1.01             High: 12.58

Historical Data

  • Dimension2012
    Total1.04%
  • DSU - Data statistically unreliable.

Methodology

  • Divide the count of beneficiaries who are Other or Unknown race by the count of Medicare FFS beneficiaries.
  • Medicare FFS beneficiaries limited to those who (a) have no months of HMO enrollment and (b) have both Part A and Part B for whatever portion of the year that they are covered by FFS Medicare (i.e., they have no months of A-only or B-only coverage).
  • Beneficiary age group (< 65 and 65+ ) was determined using the age of the individual at the end of the reference year or the individual's age at the time of death.

References

  • HRR documentation is posted at http://www.dartmouthatlas.org/downloads/methods/geogappdx.pdf
  • Posted rates are based on RTI Race Code, http://www.ccwdata.org/data-dictionaries/bene-summary-complete.htm#RTI_RACE

Data Source(s)

  • Chronic Condition Data Warehouse (CCW)

    Description The Chronic Condition Data Warehouse (CCW) is a research database designed to (1) identify areas for improving the quality of care provided to chronically ill Medicare beneficiaries; (2) identify ways to reduce program spending; and (3) make current Medicare data more readily available to researchers studying chronic illness in the Medicare population. The CCW contains fee-for-service institutional and non-institutional claims, enrollment/eligibility, and assessment data from 1999 forward for a random 5% sample of Medicare beneficiaries (100% for 2005 forward). The data are linked by a unique, unidentifiable beneficiary key, which allows researchers to analyze information across the continuum of care.


 
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