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Rehabilitation Dataset Directory: Dataset Profile
Dataset: Provider of Services Files (POS)
Basic Information | |
---|---|
Dataset Full Name | Provider of Services Files |
Dataset Acronym | POS |
Summary | The POS files are created from the Online Survey and Certification Reporting System (OSCAR) database. The files contain an individual record for each Medicare-approved provider that is updated quarterly. These files include the following information related to participating institutional providers: Medicare provider number, name of facilities, geographical information (address), ownership structure, physical environment (size, bed numbers), physician and specialists information, other health professionals information, non-clinical staffing information, clinical services, accreditation information, and reimbursement information. |
Key Terms | Medicare, Health Provider Characteristics |
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) | NA |
Disability Measures | NA | Measures/Outcomes of Interest |
Topics | Hospitals, Nursing Facilities (NF), Skilled Nursing Facilities (SNF), SNF/NF (dually), Home Health Agencies (HHA), Portable X-rays, Physical Therapy/Speech Pathology, End Stage Renal Disease (ESRD), Nursing Facilities (NF), Intermediate Care Facility-Mentally Retarded (ICF/MR), Rural health clinics, Physical Therapy - Independent Practices, Comprehensive Outpatient Rehab Facilities (CORF), Ambulatory Surgical Centers (ASC), Hospices, Organ procurement organizations, Community Mental Health Centers (CMHC), Federally qualified health centers, CLIA88 laboratories added: effective 1997 | Sample |
Sample Population | Medicare-approved health providers |
Sample Size/Notes | 100,000(±) Health Providers |
Unit of Observation | Service Provider |
Continent(s) | North America |
Countries | United States |
Geographic Coverage | National |
Geographic Specificity | Mailing Address |
Special Population(s) | Medicare-approved providers |
Data Collection |
Data Collection Mode | Administrative |
Years Collected | 1991 - present |
Data Collection Frequency | Quarterly | Strengths and Limitations |
Strengths | Contains comprehensive information about providers. Ideal for building nested and hierarchical models. Data can be linked with other CMS/non-CMS datasets. |
Limitations | Documentation and variable information is limited. Reasons for changes in structure of a facility (provider) are unknown. Information on non-Medicare-approved facilities is unknown | Data Details |
Primary Website | https://www.cms.gov/Research-Statistics-Data-and-Systems/Downloadable-Public-Use-Files/Provider-of-Services/index.html |
Data Access | https://www.cms.gov/Research-Statistics-Data-and-Systems/Downloadable-Public-Use-Files/Provider-of-Services/index.html |
Data Access Requirements | Public Use Dataset |
Summary Tables/Reports | NA |
Data Components | NA | Selected Papers |
Other Papers | NA |
Technical | NA |
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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.
For questions or comments please contact disabilitystatistics@cornell.edu