State Ambulatory Surgery Database (SASD)

Database Name: State Ambulatory Surgery Database (SASD)

Description

Data consists of ambulatory surgery discharges from hospitals and some free-standing ambulatory surgery centers (varies by state). SASD data can be sued to examine ambulatory surgery data, conduct small area variation analyses, and identify State-specific trends in ambulatory surgery utilization, access, and charges.

Data Source

Healthcare Cost and Utilization Project (HCUP) 32 states participate in SASD.

Overview of data contents

Patient demographics, expected payment source. Clinical variables include all-listed diagnoses, all listed procedures, discharge status. Resource variables include total charges, hospital identifiers that permit linkage to inpatient hospital databases, such as the AHRQ-sponsored State Inpatient Database (SID), and to the American Hospital Association Annual Survey File, and for some states, hospital county identifiers that permit linkage to the Area Resource File.

Patient ages included

Patients of all ages.

Practice setting

Ambulatory surgery cases

Date range available

1997-present, varies by state

Relevant Work

Example publications
 

Pynnonen M, Davis MM. Extent of Sinus Surgery, 2000-2009: A Population-Based Study. Laryngoscope 2013 July 30.

Kezerian EJ, Maselli J, Vittinghoff E, Goldberg AN, Auerbach AD. Obstructive Sleep Apnea Practice Patterns in the U.S. Otolaryngology—Head and Neck Surgery, September 2010; vol. 143,3:pp.41-447

Access 

Cost estimate(s)

$100-$1,000 per year, varies by state. For more details, see application kit.

Contact/website information

Overview

Introduction to the SASD (.pdf)

 Email: hcup@ahrq.gov

Practicalities 

Ease of use

Good for novice analyst.

Data analysis

The SASD dataset can be run on desktop computers with a CD-ROM reader, and comes in ASCII format. The data on the CD set require a statistical software package such as SAS, SPSS, or STATA to use for analytic purposes. Providers can reportedly be followed longitudinally, but patients cannot.

Pros

Consistent data elements with uniform formatting across states and years.

Cons

In Florida, unable to track providers longitudinally, despite reported ability to do so.