National Hospital Discharge Survey, 2004 (ICPSR 4442)
Principal Investigator(s): United States Department of Health and Human Services. National Center for Health Statistics
The 2004 National Hospital Discharge Survey (NHDS) collects medical and demographic information annually from a sample of hospital discharge records. Variables include patients' demographic characteristics (sex, age, race, marital status), dates of admission and discharge, source and type of admission, status at discharge, final diagnoses, surgical and nonsurgical procedures, dates of surgeries, and sources of payment. Information on hospital characteristics such as bedsize, ownership, and region of the country is also included. The medical information is coded using the INTERNATIONAL CLASSIFICATION OF DISEASES, 9TH REVISION, CLINICAL MODIFICATION (ICD-9-CM).
These data are freely available.
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U.S. Dept. of Health and Human Services, National Center for Health Statistics. NATIONAL HOSPITAL DISCHARGE SURVEY, 2004. ICPSR04442-v1. Hyattsville, MD: U.S. Dept. of Health and Human Services, National Center for Health Statistics [producer], 2006. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2006-05-03. http://doi.org/10.3886/ICPSR04442.v1
Persistent URL: http://doi.org/10.3886/ICPSR04442.v1
Scope of Study
Geographic Coverage: United States
Date of Collection:
Universe: Patient discharges from nonfederal short-stay hospitals located in the 50 states and the District of Columbia.
Data Types: administrative records data
Sample: In 2004, the sample consisted of 501 hospitals. Of the 501 hospitals, 25 were found to be out-of-scope (ineligible) because they went out of business or otherwise failed to meet the criteria for the NHDS universe. Of the 476 in-scope (eligible) hospitals, 439 hospitals responded to the survey.
Weight: These data contain one weight variable, wgt. Users should refer to the technical documentation for further information regarding the weight and its derivation. Additionally, users may need to weight the data prior to analysis.
Original ICPSR Release: 2006-05-03
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