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Osteoporosis Medicare beneficiaries (percent)
Kentucky - Montgomery

Measurement Period: 2012

County

7.10%

State

National

6.07%

HP 2020

  • 2.57
  • 5.57
  • 9.03
Medicare fee-for-service beneficiaries who have osteoporosis

Numerator

Number of Medicare fee-for-service beneficiaries with osteoporosis

Population

Number of Medicare fee-for-service beneficiaries

2012 - Dimensions

  • Total

    7.10%
    0
    Comparison of 121 Counties
    7.10%
      Low: 2.57             High: 9.03

Historical Data

  • Dimension20122011201020092008
    Total7.10%
    7.14%
    5.67%
    5.57%
    6.75%
  • DSU - Data statistically unreliable.

Methodology

  • The data value for this metric is the numerator divided by the denominator.
  • 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.
  • Of this population, beneficiaries with CCW OST chronic condition flag values of "1" or "3'" were determined to have osteoporosis.

References

  • CCW condition flag documentation is posted at http://www.ccwdata.org/data-dictionaries/index.htm
  • 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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