Drug Abuse Warning Network US (DAWN-NS-1994)

Parent Series Details:

The non-series is dedicated to providing access to studies which are not otherwise a part of an explicit series.


Study Details:
The Drug Abuse Warning Network (DAWN) survey is designed to capture data on emergency department (ED) episodes that are induced by or related to the use of an illicit, prescription, or over-the-counter drug. For purposes of this collection, a drug "episode" is an ED visit that was induced by or related to the use of an illegal drug or the nonmedical use of a legal drug for patients aged six years and older. A drug "mention" refers to a substance that was mentioned during a drug-related ED episode. Because up to four drugs can be reported for each drug abuse episode, there are more mentions than episodes in the data. Individual persons may also be included more than once in the data. Within each facility participating in DAWN, a designated reporter, usually a member of the emergency department or medical records staff, was responsible for identifying drug-related episodes and recording and submitting data on each case. An episode report was submitted for each patient visiting a DAWN emergency department whose presenting problem(s) was/were related to their own drug use. DAWN produces estimates of drug-related emergency department visits for 50 specific drugs, drug categories, or combinations of drugs, including the following: acetaminophen, alcohol in combination with other drugs, alprazolam, amitriptyline, amphetamines, aspirin, cocaine, codeine, diazepam, diphenhydramine, fluoxetine, heroin/morphine, inhalants/solvents/aerosols, LSD, lorazepam, marijuana/hashish, methadone, methamphetamine, and PCP/PCP in combination with other drugs. The use of alcohol alone is not reported. The route of administration and form of drug used (e.g., powder, tablet, liquid) are included for each drug. Data collected for DAWN also include drug use motive and total drug mentions in the episode, as well as race, age, patient disposition, reason for ED visit, and day of the week, quarter, and year of episode.

Study Scope

Time period: 
1994
Collection date: 
1994
Geographic coverage : 
United States
Data types: 
administrative records data
Universe: 
Patients treated during 1994 in the emergency department of nonfederal, short-stay general hospitals that have a 24-hour emergency department. Eligible respondents were those patients who met the following criteria: (1) they were aged 6 years or older, (2
Notes: 
Because data are abstracted from medical records completed by hospital staff who treat the patients, the accuracy of these reports depends on their careful recording of these conditions. It is also important to recognize that DAWN does not provide a complete picture of problems associated with drug use, but rather focuses on the impact that these problems have on hospital emergency departments in the United States. If a person is admitted to another part of the hospital for treatment, or treated in a physician's office or at a drug treatment center, the episode would not be included in DAWN.
To protect the privacy of respondents, all variables that could be used to identify individuals have been encrypted or collapsed in the public use file. These modifications should not affect analytic uses of the public use file.
In January 1994, several DAWN hospital emergency departments in Los Angeles were closed for a period of time due to the Northridge earthquake. In addition, emergency department records in some facilities were destroyed. This may explain the decrease in the total number of drug-related episodes in Los Angeles between the first half of 1993 and the first half of 1994.
Changes in reporting procedures in 1994 in two national panel hospitals may have caused an increase in the volume of drug-related cases reported there. Because these hospitals reported a large number of methamphetamine cases, part of the estimated 75 percent increase in methamphetamine-related episodes from 1993 to 1994 may be an artifact. However, after removing these two hospitals from the estimation, methamphetamine still showed a 45-percent increase.
The data were collected and cleaned by Johnson, Bassin, and Shaw, Inc. Westat, Inc. created the weights and analytic files, and the National Opinion Research Center (NORC) created the public use file and codebook.
For more information, visit the DAWN Web site http://dawninfo.samhsa.gov/.
Subject Terms: 
  • demographic characteristics
  • drug abuse
  • drug dependence
  • drug overdose
  • drug use
  • emergencies
  • emergency services
  • health behavior
  • hospitalization
  • substance abuse

Study Methodology

Mode of data collection: 
hospital medical records
Sample: 
More than 500 EDs that were part of a scientifically- selected sample of general hospitals in the country provided data for DAWN. The DAWN sample is constructed to produce estimates of substance abuse visits to emergency departments across the nation and to 21 oversampled metropolitan areas. The sample design of DAWN does not permit state-level estimates. Hospitals in the frame were stratified according to size, with hospitals reporting 80,000 or more annual emergency department visits assigned to a single stratum and selected with certainty. Additional strata were defined according to whether the hospital had an organized outpatient department or a chemical/alcohol inpatient unit. The 21 oversampled MSAs include: Atlanta, GA, Baltimore, MD, Boston, MA, Buffalo, NY, Chicago, IL, Dallas, TX, Denver, CO, Detroit, MI, Los Angeles, CA, Miami, FL, Minneapolis, MN, New Orleans, LA, New York, NY, Newark, NJ, Philadelphia, PA, Phoenix, AZ, San Diego, CA, San Francisco, CA, Seattle, WA, St. Louis, MO, and Washington, DC.
Versions: 
  • 2014-08-13: Edited question text in ddi.xml file.
  • 2008-03-04: New files were added. These files included one or more of the following: Stata setup, SAS transport (CPORT), SPSS system, Stata system, SAS supplemental syntax, and Stata supplemental syntax files, and tab-delimited ASCII data file.
Extent of processing: 
  • Performed consistency checks.
  • Created online analysis version with question text.
  • Checked for undocumented or out-of-range codes.