The Statewide Planning and Research Cooperative System (SPARCS) is a comprehensive data reporting system established in 1979 as a result of cooperation between the health care industry and the New York State government. SPARCS currently collects patient level detail on patient characteristics, diagnoses and treatments, services, and charges for every hospital discharge, ambulatory surgery patient,...

The Kids' Inpatient Database (KID) is part of a family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). The KID is the largest publicly-available all-payer inpatient care database on children. The unique design of the KID enables national and regional studies of common and rare pediatric conditions. The KID can be used to identify, track, and analyze...

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...

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,...

The State Inpatient Databases (SID) are part of the family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). The SID are a set of hospital databases containing the universe of the inpatient discharge abstracts from participating States, translated into a uniform format to facilitate multi-State comparisons and analyses. The SID can be used to investigate...

The National Ambulatory Medical Care Survey (NAMCS) is a national survey designed to provide objective, reliable information about the provision and use of ambulatory medical care services in the United States. The survey was conducted annually from 1973 to 1981, in 1985, and annually since 1989. The survey samples visits to non-federally employed office-based physicians who are engaged in direct patient...

The State Emergency Department Databases (SEDD) are part of the family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). The SEDD are a set of databases that capture discharge information on all emergency department visits that do not result in an admission. The SEDD combined with SID discharges that originate in the emergency department are well suited...

The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system overseen by the Substance Abuse and Mental Health Services Administration (SAMHSA) that continuously monitors drug-related visits to hospital emergency departments (EDs). A DAWN case is any ED visit where recent drug use is a direct or contributing factor for the ED visit. The dataset includes information...

The Substance Abuse and Mental Health Services Administration (SAHMSA) maintains the Treatment Episode Data Set (TEDS), a national data system of annual admissions (TEDS-A) to and discharges (TEDS-D) from substance abuse treatment facilities in the United States. TEDS collects information on service setting, treatment details, and demographic variables from state agencies on all admissions and discharges...

The National Survey of Substance Abuse Treatment Services (N-SSATS) (formerly titled Uniform Facility Data Set (UFDS)) is designed to collect information from all facilities in the United States, both public and private, that provide substance abuse treatment. Data collected in N-SSATS include topics covering facility operation, services offered, primary focus, hotline operation, Opioid Treatment Programs...