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
UID: 10016
- 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 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.
- Publisher
- Timeframe
- 1997 - Present
- Geographic Coverage
-
CaliforniaColoradoConnecticutFloridaGeorgiaSee all...HawaiiIllinoisIndianaIowaKansas (state)KentuckyMaineMarylandMichiganMissouriNebraskaNevadaNew HampshireNew JerseyNew York (state)North CarolinaOhioOklahomaOregonPennsylvaniaSouth CarolinaSouth DakotaTennesseeTexasUtahVermontWisconsin
Access
- Restrictions
-
Fee Required
- Instructions
- SASD releases for data years 1997 through 2011 are available for purchase through the HCUP Central Distributor. Costs vary by State and data year. Prior to purchasing HCUP data, all individuals are required to take the online HCUP Data Use Agreement Training Course, and users of the SASD must read and sign the Data Use Agreement for State Databases. The SASD data set comes in ASCII format and can be run on desktop computers with a DVD drive. To load and analyze the SASD, you will need the following: a DVD drive; a hard drive with one to four gigabytes of space available, depending on the SID being used; and SAS, SPSS, or similar analysis software. The data set comes with full documentation. SASD documentation and tools, including programs for loading the ASCII file into SAS or SPSS, are also available on the SASD Database Documentation page.
- PubMed Search
- View articles which use this dataset
- Related Datasets
Do you have or know of a dataset that should be added to the catalog? Let us know!