HCUP State Ambulatory Surgery and Services Databases
Alternate Titles(s): SASD, HCUP SASD, State Ambulatory Surgery Databases, Healthcare Cost and Utilization Project State Ambulatory Surgery and Services Databases
- Description
- The State Ambulatory Surgery and Services Databases (SASD) are part of the family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). The SASD are a set of databases that capture surgeries performed on the same day in which patients are admitted and released. The SASD contain more than 100 clinical and nonclinical variables abstracted from hospital discharge records, including all listed discharges and diagnoses, patient demographic characteristics, expected payment sources, total charges, and hospital identifiers which enable linkage to other hospital data files. The SASD can be used to compare inpatient surgery data with ambulatory surgery data; conduct market area research or small area variation analyses; and identify state-specific trends in ambulatory surgery utilization, access, charges, and outcomes. Data may not be available for all states across all years.
- Publisher
- Timeframe
- 1997 - Present
- Geographic Coverage
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CaliforniaColoradoFloridaGeorgiaHawaiiIowaKansasKentuckyMaineMarylandMichiganMinnesotaNebraskaNevadaNew HampshireNew JerseyNew York (State)North CarolinaOhioOklahomaPennsylvaniaSouth CarolinaSouth DakotaUtahVermontWashington, D.C.Wisconsin
- Local Expert
Access
- Restrictions
-
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: a DVD drive, the password provided by the HCUP Central Distributor, a hard drive with at least 4 GB of space available; and SAS, SPSS, Stata or similar analysis software.
The data set comes with full documentation. Documentation and tools, including programs for loading the ASCII file into SAS or SPSS 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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