Long term care hospital Medicare utilization (percent)
Ohio - Mahoning
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Medicare fee-for-service beneficiaries who had covered long-term care hospital services
Number of Medicare fee-for-service beneficiaries who had covered long-term care hospital services
Number of Medicare fee-for-service beneficiaries
- The count of Medicare fee-for-service beneficiaries who had covered long-term care hospital services was divided by the count of all 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.
- HRR documentation is posted at http://www.dartmouthatlas.org/downloads/methods/geogappdx.pdf
- See Document http://healthindicators.gov/App_Resources/Documents/HIW%20Methods%20Paper.pdf
Chronic Condition Data Warehouse (CCW)
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
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.