This regional site serves multiple counties. Use the dropdown below to view a specific county's data.
Selected County:

Male Medicare beneficiaries (percent)
Maryland - Allegany

Measurement Period: 2013

County

44.42%

State

National

45.13%

HP 2020

  • 41.05
  • 44.05
  • 46.46
Medicare fee-for-service beneficiaries who are male

Numerator

Number of Medicare fee-for-service beneficiaries who are male

Population

Number of Medicare fee-for-service beneficiaries

2013 - Dimensions

  • Total

    44.42%
    0
    Comparison of 25 Counties
    44.42%
      Low: 41.05             High: 46.46

Historical Data

  • Dimension2013201220112010200920082007
    Total44.42%
    44.08%
    43.90%
    43.97%
    43.71%
    43.63%
    43.57%
  • DSU - Data statistically unreliable.

Methodology

  • Divide the count of beneficiaries who are male 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

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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