High cholesterol Medicare beneficiaries (percent)
Ohio - Summit

Measurement Period: 2012

County

47.74%

State

National

44.91%

HP 2020

  • 36.48
  • 46.48
  • 56.69
Medicare fee-for-service beneficiaries who have high cholesterol

Numerator

Number of Medicare fee-for-service beneficiaries with high cholesterol

Population

Number of Medicare fee-for-service beneficiaries

2012 - Dimensions

  • Total

    47.74%
    0
    Comparison of 89 Counties
    47.74%
      Low: 36.48             High: 56.69

Historical Data

  • Dimension20122011201020092008
    Total47.74%
    47.38%
    45.59%
    45.59%
    44.22%
  • 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 HYPERL chronic condition flag values of "1" or "3'" were determined to have had high cholesterol

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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