HCUP Nationwide Emergency Department Sample
Alternate Titles(s): NEDS, HCUP NEDS, Healthcare Cost and Utilization Project Nationwide Emergency Department Sample
- Description
- The Nationwide Emergency Department Sample (NEDS) is part of a family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). The NEDS is the largest all-payer emergency department (ED) database in the United States, yielding national estimates of hospital-based ED visits. The NEDS enables analyses of ED utilization patterns and supports public health professionals, administrators, policymakers, and clinicians in their decisionmaking regarding this critical source of care.
- Publisher
- Timeframe
- 2006 - Present
- Geographic Coverage
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ArizonaArkansasCaliforniaColoradoConnecticutSee all...FloridaGeorgiaHawaiiIllinoisIndianaIowaKansasKentuckyMaineMarylandMichiganMinnesotaMississippiMissouriMontanaNebraskaNevadaNew HampshireNew JerseyNew York (State)North CarolinaNorth DakotaOhioOregonRhode IslandSouth CarolinaSouth DakotaTennesseeTexasUnited StatesUtahVermontWashington, D.C.WisconsinWyoming
- 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 50 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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