Congestive heart failure admission rate (per 100,000 beneficiaries)
Ohio - Mahoning

Measurement Period:





HP 2020

  • 0
  • 318
  • 637
Prevention Quality Indicators: Congestive heart failure admission rate among Medicare fee-for-service beneficiaries


Number of non-maternal discharges with ICD-9-CM principal diagnosis code for congestive heart failure


Number of Medicare fee-for-service beneficiaries


  • 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).
  • 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, 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.
  • 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.


  • Prevention Quality Indicators (PQI) version 4.3 software is posted on the Agency for Healthcare Research and Quality web site -
  • HRR documentation is posted at

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.

  • Medicare Administrative Data

    Description CMS collects and synthesizes Medicare enrollment, spending, and claims data to monitor and evaluate access to and quality of care, trends in utilization, changes in payment policy, and other program-related issues.

    MethodologyThe claims and utilization data files contain extensive utilization information at various levels of summarization for a variety of providers and services. There are many types and levels of these files: the National Claims History (NCH) files, the Standard Analytic files (SAFs), Medicare Provider and Analysis Review (MEDPAR) files, Medicare enrollment files, and various other files.


Driving Walking/Biking Public Transit  Get Directions