National Hospital Discharge Survey, 1986 (ICPSR 9095)
Principal Investigator(s): United States Department of Health and Human Services. National Center for Health Statistics
The 1986 National Hospital Discharge Survey is the latest in a continuing sample of hospital discharge records, collecting medical and demographic information for calculating statistics on hospital utilization. This survey consists of data abstracted from the face sheets of the medical records for sampled inpatients discharged from a national sample of nonfederal short-stay hospitals. The variables include information on the patient's demographic characteristics (sex, age, date of birth, race, marital status), dates of admission and discharge, status at discharge, diagnoses, procedures performed, source of payment, and hospital characteristics of bedsize, ownership, and region of the country.
These data are available only to users at ICPSR member institutions. Because you are not logged in, we cannot verify that you will be able to download these data.
This study is provided by ICPSR. ICPSR provides leadership and training in data access, curation, and methods of analysis for a diverse and expanding social science research community.
U.S. Dept. of Health and Human Services, National Center for Health Statistics. NATIONAL HOSPITAL DISCHARGE SURVEY, 1986. Washington, DC: U.S. Dept. of Health and Human Services, National Center for Health Statistics [producer], 1986. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 1989. http://doi.org/10.3886/ICPSR09095.v1
Persistent URL: http://doi.org/10.3886/ICPSR09095.v1
Scope of Study
Subject Terms: demographic characteristics, health care facilities, hospitalization, hospitals, illness, medical care, medical evaluation, medical procedures, medical records, patients, payment methods, treatment
Geographic Coverage: United States
Universe: Patient discharges from short-stay noninstitutional hospitals, exclusive of federal hospitals, located in the 50 states and the District of Columbia included in the National Master Facility Inventory of Hospitals and Institutions.
Data Types: clinical data, survey data
Data Collection Notes:
The data contain ampersand (&), dashes (-), and blanks.
Sample: All hospitals with 1,000 beds or more in the original universe of short-stay hospitals were selected with certainty in the sample. All hospitals with fewer than 1,00 beds were stratified, the primary stratum depending on size and geographic region. Within each of these 24 primary strata, the allocation of the hospitals was made through a controlled selection technique so that hospitals in the sample would be properly distributed with regard to type of ownership and geographic division. Sample hospitals were drawn with probabilities ranging from certainty for the largest hospitals to 1 in 40 for the smallest hospitals. The within-hospital sampling ratio for selecting sample discharges varied inversely with the probability of selection of the hospital. The smallest sampling fraction of discharged patients was taken in the largest hospitals, and the largest fraction was taken in the smallest hospitals. In nearly all hospitals, the daily listing sheet of discharges was the frame from which the subsamples of discharges were selected within the sample hospitals. The sample discharges were selected by a random technique, usually on the basis of the terminal digit(s) of the patient's medical record number--a number assigned when the patient was admitted.
official hospital records
Restrictions: Individual identifiers have been removed from the microdata tapes available from the National Center for Health Statistics. Nevertheless, under section 308(d) of the Public Health Service Act (42 U.S.C. 242m), data collected by the National Center for Health Statistics may not be used for any purpose other than for statistical reporting. ICPSR recommends to users that individual elementary unit data contained in this collection be used solely for statistical research.
Original ICPSR Release: 1989-05-04
Related Publications (?)
- List all ~69 citations associated with this study
- View citations for the entire series
Most Recent Publications
- Citations exports are provided above.
Export Study-level metadata (does not include variable-level metadata)