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Rehabilitation Dataset Directory: Dataset Profile

Dataset: Healthcare Cost Report Information System (HCRIS)

Basic Information
Dataset Full Name Healthcare Cost Report Information System
Dataset Acronym HCRIS
Summary

The HCRIS is used in order to compute the cost-to-charge ratio and determine the “cost” of providing services by different institutions. Cost Report files exist for:

  • Hospitals (CMS-2552-96 and CMS-2552-10),
  • Skilled Nursing Facilities (CMS-2540-96 and CMS-2540-10),
  • Home Health Agencies (CMS-1728-94), Renal Facilities (CMS-265-94 and CMS-265-11),
  • Health Clinics (CMS-222-92),
  • Hospices (CMS-1984-99),
  • Community Mental Health Centers (CMS-2088-92), and
  • Freestanding Federally Qualified Health Centers (FQHC14).

The files exist in a relational database (tables) format. There are three files associated with each dataset: the report file, the alpha-numeric file, and the numeric file. A fourth file, the rollup file, additionally exists for Hospitals (CMS-2552-96), Skilled Nursing Facilities (CMS-2540-96), and Home Health Agencies (CMS-1728-94). These files can be linked with each other by a unique key: the report record number.
Key Terms Cost, Cost-to-Charge Ratio, Cost Effectiveness Analysis
Study Design Cross-Sectional
Data Type(s) Administrative
Sponsoring Agency/Entity

Department of Health and Human Services (HHS)

Centers for Medicare and Medicaid Services (CMS)
Health Conditions/Disability Measures
Health Condition(s)

NA
Disability Measures NA
Measures/Outcomes of Interest
Topics Hospitals, Skilled Nursing Facilities, Home Health Agencies, Renal Facilities, Health Clinics, Hospices, Freestanding Federally Qualified Health Centers, and Community Mental Health Centers
Sample
Sample Population Hospitals, Skilled Nursing Facilities, Home Health Agencies, Renal Facilities, Health Clinics, Hospices, Freestanding Federally Qualified Health Centers, and Community Mental Health Centers
Sample Size/Notes NA
Unit of Observation Hospital & Provider
Continent(s) North America
Countries

United States
Geographic Coverage National
Geographic Specificity Provider Code
Data Collection
Data Collection Mode Administrative
Years Collected

1994-present: Home Health Agencies

1994-present: Renal Dialysis Facilities

1996-present: Hospitals and Health Care Complexes

1996-present: Skilled Nursing Facilities

1999-present: Hospices

2009-present: Health Clinics

2010-present: Community Mental Health Centers

2014-present: Freestanding Federally Qualified Health Centers 
Data Collection Frequency Annual
Strengths and Limitations
Strengths Useful for using cost as an outcome of interest.
Limitations Limited utility as a stand-alone data set.
Data Details
Primary Website https://www.cms.gov/research-statistics-data-and-systems/downloadable-public-use-files/cost-reports/
Data Access

https://www.cms.gov/Research-Statistics-Data-and-Systems/Downloadable-Public-Use-Files/Cost-Reports/Cost-Reports-by-Fiscal-Year.html
Data Access Requirements Public Use Dataset
Summary Tables/Reports NA
Data Components
  • Report File (all)
  • Alpha-Numeric File (all)
  • Numeric File (all)
  • Rollup File (for Hospitals (1996), Skilled Nursing Facilities (1996), and Home Health Agencies)
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:

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



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