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Amputation among diabetics rate (per 100,000 beneficiaries)
Maryland - Allegany

Measurement Period:

County

State

National

44

HP 2020

  • 0
  • 22
  • 44
Prevention Quality Indicators: Rate of lower extremity amputation among patients with diabetes among Medicare beneficiaries with full fee-for-service coverage for 12 months

Numerator

Number of non-maternal discharges with ICD-9-CM procedure code for lower extremity amputation in any field and diagnosis code of diabetes in any field

Population

Number of Medicare beneficiaries with full fee-for-service coverage for 12 months

Methodology

  • Prevention Quality Indicators (PQI) version 4.3 software was downloaded from the Agency for Healthcare Research and Quality web site - {link:60518} and used to calculate this PQI quality measure rate (observed).
  • Zip code rates were aggregated to hospital referral region (HRR) rates by summing numerators and denominators for beneficiary zip codes within the HRR.
  • State rates were calculated by summing numerators and denominators of the zip code rates within the state.
  • Beneficiary age group (< 65, 65-74, and 75+ ) 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

  • Prevention Quality Indicators (PQI) version 4.1a software is posted on the Agency for Healthcare Research and Quality web site - http://www.qualityindicators.ahrq.gov/Software/Default.aspx
  • 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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