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Rehabilitation Dataset Directory: Dataset Profile

Dataset: Health care Cost & Utilization Project (HCUP): State Inpatient Database (SID) (HCUP-SID)

Basic Information
Dataset full name: Health care Cost & Utilization Project (HCUP): State Inpatient Database (SID)
Dataset acronym HCUP-SID
Summary The SID contain clinical and utilization of resources information that is included in a typical hospital discharge. The SID contain both clinical and nonclinical information on all patients, regardless of payer types. The following 47 states and the District of Columbia submit their hospital discharge information: Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Florida, Georgia, Hawaii, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.
Key Terms Utilization and Cost of Hospital Services, Health Care Cost Inflation, Comparative Effectiveness Research, Access and Quality of Care
Study Design Longitudinal
Data Type(s) Administrative
Sponsoring Agency/Entity Department of Health and Human Services (HHS): Agency for Health care Research and Quality (AHRQ)
Health conditions/Disability measures
Health condition(s)
Disability Measures NA
Measures/outcomes of interest
Topics Primary and secondary diagnoses, Primary and secondary procedures, Admission and discharge status, Patient demographics (e.g., gender, age, race, median income for ZIP Code), Expected payment source, Total charges, Length of stay, Hospital characteristics (e.g., ownership, size, teaching status).
Sample
Sample Population Hospitals
Sample Size/Notes Hospitals in 2014: 3,084 Discharges in 2014: 21,251,800
Unit of Observation Hospital & Patient
Geographic Coverage 47 states and the District of Columbia: Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Florida, Georgia, Hawaii, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.
Geographic specificity Hospital Zip Code
Data Collection
Data Collection Mode Administrative
Years Collected 1990-current
Data Collection Frequency Annual
Strengths and limitations
Strengths Only state-level hospital database containing charge information on all patients, regardless of payer, and the uninsured. Data is weighted to determine national estimates. Patient severity adjustment is available. Comprehensive documentation and training available through AHRQ. Data can be linked with other datasets like American Hospital Association (AHA) survey, and Area Resource File (ARF). Trend analysis can be conducted
Limitations Information is collected from only participating states. Information is limited to inpatient stays. Clinical details are limited (e.g., intensity of rehabilitation intervention).
Data details
Primary Website https://www.ahrq.gov/research/data/hcup/index.html
Data Access https://www.hcup-us.ahrq.gov/tech_assist/centdist.jsp
Data Access Requirements Data Use agreement, $ Cost
Summary Tables/reports Briefs: https://www.hcup-us.ahrq.gov/reports/statbriefs/statbriefs.jsp Reports:https://www.hcup-us.ahrq.gov/reports.jsp
Selected papers
Technical SID Documentation: https://www.hcup-us.ahrq.gov/db/state/siddbdocumentation.jsp
Other Papers https://www.hcup-us.ahrq.gov/reports/spotlights.jsp

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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).

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