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. Data may not be available for all states across all years.
Publisher
Timeframe
1997 - Present
Geographic Coverage
California
Colorado
Florida
Georgia
Hawaii
Iowa
Kansas
Kentucky
Maine
Maryland
Michigan
Minnesota
Nebraska
Nevada
New Hampshire
New Jersey
New York (State)
North Carolina
Ohio
Oklahoma
Pennsylvania
South Carolina
South Dakota
Utah
Vermont
Washington, D.C.
Wisconsin
Local Expert
Subject of Study
Subject Domain
Keywords

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.

Data Type
Study Type
Observational
Dataset Format(s)
ASCII
Dataset Size
4GB
PubMed Search
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Other Resources
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