HCUP Nationwide Inpatient Sample
Alternate Titles(s): National Inpatient Sample, NIS, HCUP NIS, Healthcare Cost and Utilization Project Nationwide Inpatient Sample
- Description
- The Nationwide Inpatient Sample (NIS) is part of a family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). The NIS is the largest all-payer inpatient health care database in the United States, yielding national estimates of hospital inpatient stays. The NIS can be used to identify, track, and analyze national trends in health care utilization, access, charges, quality, and outcomes. Data may not be available for all states across all years.
- Publisher
- Timeframe
- 1988 - Present
- Geographic Coverage
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AlaskaArizonaArkansasCaliforniaColoradoConnecticutDelawareFloridaGeorgiaHawaiiIdahoIllinoisIndianaIowaKansasKentuckyLouisianaMaineMarylandMassachusettsMichiganMinnesotaMississippiMissouriMontanaNebraskaNevadaNew HampshireNew JerseyNew MexicoNew York (State)North CarolinaNorth DakotaOhioOklahomaOregonPennsylvaniaRhode IslandSouth CarolinaSouth DakotaTennesseeTexasUnited StatesUtahVermontVirginiaWashington (State)Washington, D.C.West VirginiaWisconsinWyoming
- Local Expert
Access
- Restrictions
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Fee Required
- Instructions
The data is available for purchase through the HCUP Central Distributor. Prior to purchasing HCUP data, all individuals are required to take the online HCUP Data Use Agreement Training Tool, and read and sign the Data Use Agreement for Nationwide Databases. The dataset is distributed as fixed-width ASCII formatted data files compressed with SecureZIP from PKWARE.
To load and analyze the dataset on a computer, you will need the following: the password provided by the HCUP Central Distributor, a hard drive with at least 15 GB of space available; a third-party zip utility such as ZIP Reader, SecureZIP, or WinZip; and SAS, SPSS, Stata or similar analysis software.
The dataset includes weights for producing national and regional estimates. Documentation and tools, including programs for loading the ASCII file into SAS, SPSS, or Stata, are also available on the Database Documentation page.
- PubMed Search
- View articles which use this dataset
- Other Resources
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HCUPnet
Free online querying portal
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