FIND Disability Statistics
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ACCESS Research
Tools
Rehabilitation Dataset Directory: Dataset Profile
Dataset: Medicare Provider Analysis and Review (MEDPAR)
| Basic Information | |
|---|---|
| Dataset Full Name | Medicare Provider Analysis and Review |
| Dataset Acronym | MEDPAR |
| Summary | 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. |
| Key Terms | Medicare, Utilization and Claims Record, Inpatient Procedure Code |
| Study Design | Longitudinal |
| Data Type(s) |
Administrative |
| Sponsoring Agency/Entity | Department of Health and Human Services (HHS) Center for Medicare and Medicaid Services (CMS) |
Health Conditions/Disability Measures |
| Health Condition(s) | ICD-9/10 diagnostic codes |
| Disability Measures | NA | Measures/Outcomes of Interest |
| Topics | Medical condition, Comorbidity information, Inpatient utilization, Claims, Service charges, Surgical procedure code, Diagnosis Related Group (DRG) information | Sample |
| Sample Population | Medicare beneficiaries (inpatient "stay" record) |
| Sample Size/Notes | 15,000,000 (±) Medicare beneficiaries receiving inpatient care at various facilities |
| Unit of Observation | Patient |
| Continent(s) | North America |
| Countries | United States |
| Geographic Coverage | National |
| Geographic Specificity | Zip Code (of beneficiary’s mailing address) |
| Special Population(s) | Medicare beneficiaries |
Data Collection |
| Data Collection Mode | Administrative |
| Years Collected | 1991-present |
| Data Collection Frequency | Annual | Strengths and Limitations |
| Strengths | 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. |
| Limitations | 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. | Data Details |
| Primary Website |
https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/MedicareFeeforSvcPartsAB/MEDPAR.html |
| Data Access |
Research Identifiable Files (RIFs): https://www.cms.gov/Research-Statistics-Data-and-Systems/Files-for-Order/IdentifiableDataFiles/ Limited Data Set (LDS): |
| Data Access Requirements | Data Use agreement, $ Cost |
| Summary Tables/Reports | https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/MedicareFeeforSvcPartsAB/MEDPAR.html |
| Data Components | Research Identifiable Files (RIFs) Limited Data Set (LDS) |
Selected Papers |
| Other Papers | NA |
| Technical |
|
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E-mail your question to our researchers at disabilitystatistics@cornell.edu
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.
For questions or comments please contact disabilitystatistics@cornell.edu