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State Inpatient Database (SID)

Database Name: State Inpatient Database (SID)


Data Source

Administrative database that contains all inpatient discharges from participating states. The SID was developed as part of the Healthcare Cost and Utilization Project (HCUP), sponsored by the Agency for Healthcare Research and Quality (AHRQ).

Overview of data contents

SID are currently available from 46 states. Data include clinical and nonclinical elements: diagnoses, procedures, admission, and discharge status, patient demographics, payment source, total charges, length of stay, and hospital and provider characteristics.

Patient ages included


Practice setting


Date range available

Data collection is ongoing. SID datasets are available from some states dating back to 1990, with may states joining the SID more recently.

Relevant Work

Example publications

Kezerian EJ, Maselli J, Vittinghoff E, Goldberg AN, Auerbach AD. Obstructive sleep apnea practice patterns in the United States: 2000-2006. Otolaryngology Head Neck Surgery 2010 Sep;143:441-7

Meltzer AJ, Graham A, Kim JH, Connolly PH, Karwoski JK, Bush HL, Meltzer EC, Schneider DB. Clinical, demographic, and medicolegal factors associated with geographic variation in inferior vena cava filter utilization: an interstate analysis. Surgery 2013 May;153:638-8

Clement JP, Lindrooth RC, Chukmaitov AS, Chen HF. Does the patient's payer matter in hospital patient safety?:a study of urban hospitals. Medical Care 2007 Feb;45:131-8


Cost estimate(s)

Cost varies by year and state.

Contact/website information


Ease of use

Some datasets are easily available from the HCUP Central Distributor, but SID from some states requires contact with data organizations in their state.

Data analysis

There is no sampling of data, as typically these represent >90% of inpatient discharges in a state. The sheer volume of data generally requires sophisticated statistical software or substantial computing power.


The completeness of the data has advantages because it avoids issues related to sampling/weighting. These databases may be especially valuable when combined with the State Ambulatory Surgery Databases available through HCUP.


Most researchers will find it advantageous to work with a data manager or research associate who has experience with these or similar databases. As an inpatient database, some sates exclude observation stays performed in inpatient facilities.