FIND Disability Statistics
American Community Survey (ACS)
- Employment Rate
- Not Working but Actively Looking for Work
- Full-Time / Full-Year Employment
- Annual Earnings
- Annual Household Income
- Supplemental Security Income (SSI)
- Educational Attainment
- Veterans Service-Connected Disability
- Health Insurance Coverage (and Type)
Current Population Survey (CPS)
EEOC Charge Data
Rehabilitation Dataset Directory: Dataset Profile
Dataset: Medicare Provider Analysis and Review (MEDPAR)
|Dataset Full Name
|Medicare Provider Analysis and Review
The MEDPAR file contains utilization of services and claims data for Medicare beneficiaries during their stay in Medicare-certified inpatient short-term hospitals, skilled nursing facilities, inpatient rehabilitation facilities, and long-term care hospitals. The data are available in two formats: a 5% format that contains a random selection of 5% of total Medicare beneficiaries, and a 100% sample.
These records are all from inpatient facilities (Part A) and do not have any information related to outpatient care (Part B). The claims data in MEDPAR are final after taking into account all adjustments. The dataset is useful for tracking patterns of inpatient care for patients with various medical conditions. It also contains information related to the medical and surgical procedures that patients underwent during their stays in inpatient facilities.
|Medicare, Utilization and Claims Record, Inpatient Procedure Code
Department of Health and Human Services (HHS)
Center for Medicare and Medicaid Services (CMS)
|Health Conditions/Disability Measures
ICD-9/10 diagnostic codes
|Measures/Outcomes of Interest
|Medical condition, Comorbidity information, Inpatient utilization, Claims, Service charges, Surgical procedure code, Diagnosis Related Group (DRG) information
|Medicare beneficiaries (inpatient "stay" record)
|15,000,000 (±) Medicare beneficiaries receiving inpatient care at various facilities
|Unit of Observation
|Zip Code (of beneficiary’s mailing address)
|Data Collection Mode
|Data Collection Frequency
|Strengths and Limitations
|Provides a very large sample size. Contains cross-sectional and longitudinal components. Can be linked with enrollment and other clinical data. Useful for health policy research.
|Clinical and intervention information is limited. Requires high computational, and data analytical capabilities. Provides a snapshot in time when records are pulled from the system, so data records may be incomplete and updated in subsequent years of data.
Research Identifiable Files (RIFs):
Limited Data Set (LDS):
|Data Access Requirements
|Data Use agreement, $ Cost
Research Identifiable Files (RIFs)
Limited Data Set (LDS)
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The Rehabilitation Research Cross-dataset Variable Catalog has been developed through the Center for Large Data Research & Data Sharing in Rehabilitation (CLDR). The Center for Large Data Research and Data Sharing in Rehabilitation involves a consortium of investigators from the University of Texas Medical Branch, Cornell University's Yang Tan Institute (YTI), and the University of Michigan. The CLDR is funded by NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering. (P2CHD065702).
Other CLDR supported resources and collaborative opportunities:
- Archive of Data on Disability to Enable Policy and research (ADDEP)
- Data Sharing & Archiving at CLDR
- Pilot Project Program
- Visiting Scholars Program
Acknowledgements: This tool was developed through the efforts of William Erickson and Arun Karpur, and web designers Jason Criss and Jeff Trondsen at Cornell University. Many thanks to graduate students Kyoung Jo Oh and Yeong Joon Yoon who developed much of the content used in this tool.
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