Others titles
- Aged Beneficiaries Reimbursement for Uncompensated Care Data by State and County of Residence
- Medicare Fee-For-Service Data for County by Aged, Disabled, and ESRD Beneficiaries
- Repricing Of FFS Claims Aged Uncompensated Care Reimbursement Data by State and County of Residence
Keywords
- Medicare Fee-For-Service
- FFS Insurance Medicare
- FFS
- FFS Cost
- Medicare Spending per Beneficiaries
- Fee For Service Reimbursement
- Repricing of FFS Claims
- Aged Uncompensated Care Reimbursement Data
Repricing FFS Claims Aged Uncompensated Care Reimbursement Data
The dataset includes data for Aged beneficiaries repricing adjustments to the 2014-2018 uncompensated care reimbursement by state and county of residence. Medicare Fee-For-Service (FFS) data for each county broken down by aged, disabled, and and end-stage renal disease (ESRD) beneficiaries.
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Description
The historical claims data for 2015 through 2019 is used to rebase the Medicare Advantage (MA) Fee-For-Service capitation rate book for 2017. The historical claims data is rebased to reflect the most current wage and cost indices, repriced the claims to account for the changes made by the Affordable Care Act (ACA) to payments to disproportionate share hospitals, and also repriced durable medical equipment claims to account for the change in prices associated with the competitive bid program. The adjusted or repriced spreadsheets for Aged and Disabled reflect the annual impact of the repricing of 2015-2019 FFS claims. Medicare Fee-For-Service (FFS) data for each county broken down by aged, disabled, and and end-stage renal disease (ESRD) beneficiaries including data on total Medicare fee-for-service reimbursement and enrollment for Parts A and B, for Part A and the per capita expenditures with the medical education and disproportionate share expenditures removed. The institutional claims – acute inpatient hospital, skilled nursing facility, hospital outpatient, home health agency, and physician – reflect the repricing of the original claims with the current wage index / geographic practice cost index (GPCI).
Adjustments have also been made to reflect the transition of disproportionate share hospital (DSH) payments to uncompensated care payments (UCP). The effects of competitive bidding for durable medical equipment (DME) are reflected in the corresponding adjustment file. The dataset includes Aged beneficiaries repricing adjustments to the 2014-2018 uncompensated care reimbursement data to reflect the most current rules (Disproportionate Share Repriced To Uncompensated Care Until September 2013) (Data cells with less than 11 beneficiaries have been suppressed for privacy)
About this Dataset
Data Info
Date Created | 2016-04-04 |
---|---|
Last Modified | 2021-12-07 |
Version | 2021-12-07 |
Update Frequency |
Annual |
Temporal Coverage |
2016-2020 |
Spatial Coverage |
United States |
Source | John Snow Labs; Centre for Medicaid and Medicare Services; |
Source License URL | |
Source License Requirements |
N/A |
Source Citation |
N/A |
Keywords | Medicare Fee-For-Service, FFS Insurance Medicare, FFS, FFS Cost, Medicare Spending per Beneficiaries, Fee For Service Reimbursement, Repricing of FFS Claims, Aged Uncompensated Care Reimbursement Data |
Other Titles | Aged Beneficiaries Reimbursement for Uncompensated Care Data by State and County of Residence, Medicare Fee-For-Service Data for County by Aged, Disabled, and ESRD Beneficiaries, Repricing Of FFS Claims Aged Uncompensated Care Reimbursement Data by State and County of Residence |
Data Fields
Name | Description | Type | Constraints |
---|---|---|---|
FIPS_Code | Identification code | string | - |
State | Name of state | string | - |
County | Name of County | string | - |
Year_2016 | Repricing adjustments to the 2016 uncompensated care reimbursement data to reflect the most current rules | number | level : Ratio |
Year_2017 | Repricing adjustments to the 2017 uncompensated care reimbursement data to reflect the most current rules | number | level : Ratio |
Year_2018 | Repricing adjustments to the 2018 uncompensated care reimbursement data to reflect the most current rules | number | level : Ratio |
Year_2019 | Repricing adjustments to the 2019 uncompensated care reimbursement data to reflect the most current rules | number | level : Ratio |
Year_2020 | Repricing adjustments to the 2020 uncompensated care reimbursement data to reflect the most current rules | number | level : Ratio |
Data Preview
FIPS Code | State | County | Year 2016 | Year 2017 | Year 2018 | Year 2019 | Year 2020 |
1000 | ALABAMA | AUTAUGA | 498523.0 | 772104.0 | 704679.0 | 593535.0 | 315231.0 |
1010 | ALABAMA | BALDWIN | 2830144.0 | 3504014.0 | 3036020.0 | 2336298.0 | 1299872.0 |
1020 | ALABAMA | BARBOUR | 136271.0 | 215162.0 | 166084.0 | 136517.0 | 67302.0 |
1030 | ALABAMA | BIBB | 362767.0 | 424083.0 | 402473.0 | 266338.0 | 101811.0 |
1040 | ALABAMA | BLOUNT | 473124.0 | 588553.0 | 544025.0 | 433710.0 | 154846.0 |
1050 | ALABAMA | BULLOCK | 4257.0 | 21726.0 | 28538.0 | 24604.0 | 17665.0 |
1060 | ALABAMA | BUTLER | -107285.0 | -5199.0 | -29298.0 | -38476.0 | -58642.0 |
1070 | ALABAMA | CALHOUN | 839149.0 | 1542053.0 | 1575509.0 | 952593.0 | 383341.0 |
1080 | ALABAMA | CHAMBERS | 268281.0 | 589249.0 | 397530.0 | 259348.0 | 12658.0 |
1090 | ALABAMA | CHEROKEE | 516300.0 | 603167.0 | 621157.0 | 482781.0 | 383405.0 |