Treatment Episode Data Set -- Discharges (TEDS-D), 2008 (ICPSR 29901)
Alternate Title: TEDS-D, 2008
Principal Investigator(s): United States Department of Health and Human Services. Substance Abuse and Mental Health Services Administration. Office of Applied Studies
Summary: The Treatment Episode Data Set -- Discharges (TEDS-D) is an administrative data system providing descriptive information about discharges from alcohol or drug treatment in facilities that report to individual state administrative data systems. TEDS-D is part of a reporting system that was originally designed to provide annual data on the number and characteristics of persons admitted to public and private substance abuse treatment programs receiving public funding. The TEDS -- Admissions (TEDS-A... (more info)
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United States Department of Health and Human Services. Substance Abuse and Mental Health Services Administration. Office of Applied Studies. Treatment Episode Data Set -- Discharges (TEDS-D), 2008. ICPSR29901-v3. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2012-11-02. doi:10.3886/ICPSR29901.v3
Persistent URL: http://dx.doi.org/10.3886/ICPSR29901.v3
This survey was funded by:
- United States Department of Health and Human Services. Substance Abuse and Mental Health Services Administration. Office of Applied Studies
Scope of Study
The Treatment Episode Data Set -- Discharges (TEDS-D) is an administrative data system providing descriptive information about discharges from alcohol or drug treatment in facilities that report to individual state administrative data systems. TEDS-D is part of a reporting system that was originally designed to provide annual data on the number and characteristics of persons admitted to public and private substance abuse treatment programs receiving public funding. The TEDS -- Admissions (TEDS-A) component began in 1992, and the TEDS-D component began reporting data in 2000. The unit of analysis is treatment discharges.
Variables unique to TEDS-D are the length of stay, reason for leaving treatment, and service setting at time of discharge. TEDS-D also provides many of the same variables that are reported in the admissions data. This includes information on number of prior treatments, primary source of referral, gender, race, ethnicity, education, employment status, substance(s) abused, route of administration, frequency of use, age at first use, and whether methadone was prescribed in treatment. Supplemental variables include: diagnosis codes, presence of psychiatric problems, living arrangements, source of income, health insurance, expected source of payment, pregnancy and veteran status, marital status, detailed not in labor force codes, detailed criminal justice referral codes, days waiting to enter treatment, and the number of arrests in the 30 days prior to admissions.
Substances abused include alcohol, cocaine and crack, marijuana and hashish, heroin, nonprescription methadone, other opiates and synthetics, PCP, other hallucinogens, methamphetamine, other amphetamines, other stimulants, benzodiazepines, other non-benzodiazepine tranquilizers, barbiturates, other non-barbiturate sedatives or hypnotics, inhalants, over-the-counter medications, and other substances.
Created variables include total number of substances reported, intravenous drug use (IDU), and flags for any mention of specific substances.
The public-use files were created using the data that were current as of October 2011 (the October 10, 2011, extract).
Smallest Geographic Unit: Core-Based Statistical Area (CBSA)
Geographic Coverage: United States
Date of Collection:
Unit of Observation: treatment discharges
Universe: Treatment discharges from substance abuse treatment programs in the United States receiving public funds. State substance abuse agencies are requested to provide TEDS-D data on all publicly- and privately-funded clients in treatment programs receiving any public funds. There are some instances, however, in which information is provided only for clients whose treatment is funded through public monies.
Data Types: administrative records data
Data Collection Notes:
Several limitations to the data exist and should be noted prior to using the TEDS files:
The TEDS system is admission-based, and therefore TEDS admissions and discharges do not represent individuals. For example, an individual admitted to and discharged from treatment twice within a calendar year would be counted as two admissions and two discharges.
The data provide information on treatment in specific service types, derived from linked pairs of admission/discharge records. The data do not necessarily represent complete treatment episodes, which may include stays in multiple types of service and would require analysis of series of linked pairs of records.
The primary, secondary, and tertiary substances of abuse reported to the TEDS are those substances that led to the treatment episode, and not necessarily a complete enumeration of all drugs used at the time of admission.
The way an admission is defined may vary from state to state such that the absolute number of admissions is not a valid measure for comparing states.
States continually review the quality of their data processing. As systematic errors are identified, revisions may be enacted in historical TEDS data files. While this system improves the data set over time, reported historical statistics may change slightly from year to year.
States vary in the extent to which coercion plays a role in referral to treatment. This variation derives from criminal justice practices and differing concentrations of abuser subpopulations.
Public funding constraints may direct states to selectively target special populations, for example, pregnant women or adolescents.
Some states have no Opioid Treatment Programs (OTPs) that provide medication-assisted therapy using methadone and/or buprenorphine. See the TEDS Crosswalks for information regarding data collected by each state.
Beginning with data released or re-released in 2012, a change was made to the data beginning with 2008. A new variable was included in the dataset. The variable ARRESTS looks at how many times, if any, a client was arrested in the 30 days preceding his or her admission into treatment. The variable has been recoded to protect the confidentiality of patient records. Please see Appendix B of the Codebook for further information. The variable ARRESTS will not be present on any files going backwards from 2006 to 2007.
Beginning with data released or re-released in 2012, changes were made to the full TEDS-D series going back to 2006. The changes consisted of:
The recoding scheme of the variable DENTLF (Detailed Not in Labor Force Category) was changed. The cases for "Inmate of Institution" have been separated from "Other" and are now a stand alone category.
The recoding scheme of the variable DETCRIM (Detailed Criminal Justice Referral) was changed. The cases for "Prison" have been separated from "Probation/Parole" and are now a stand alone category. The same was done for the cases for "Diversionary Program" which were previously combined with "Other". But the cases for "Other Recognized Legal Entity" previously combined with "State/Federal Court, Other Court" have now been combined with the "Other" category.
The recode table (now Appendix B), in the codebook, now includes the original percentage of cases for each value on select variables listed in the table.
The order of the variables in the dataset now coincides with the order of the variables in the codebook.
Beginning with data released or re-released in 2011, changes were made to the full TEDS-D series going back to 2006. The change consisted of all records where age was missing. These cases are now excluded from the dataset.
It should be noted that the categories and codes in this public-use file differ somewhat from those used by SAMHSA and those found in the TEDS Crosswalks and in other reports. This is a result of the recoding that was performed to protect client privacy in creating the public-use file.
To further protect respondent and provider privacy, all Drug and Alcohol Services Information System (DASIS) unique identification numbers have been removed from the public-use data. Therefore, no linkages are possible between the TEDS and National Survey of Substance Abuse Treatment Services (N-SSATS) public-use files.
SAMHDA created a series of TEDS state indicator variables that can be used in analyses to compare a particular state with all other states. These variables are only available for analysis or subsetting through the SAMHDA online analysis system. See the codebook for sample SPSS programming syntax on how to create state indicator variables on a downloaded file.
Users should consult the TEDS Crosswalks for a breakdown of the data collected in each state and their corresponding TEDS codes, including state-by-state descriptions of exceptions or anomalies in reporting practices.
The data were collected from the states by Synectics for Management Decisions, Incorporated.
Mode of Data Collection: record abstracts
Administrative records from substance abuse treatment programs as reported to state substance abuse agencies.
Extent of Processing: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:
- Performed consistency checks.
- Created variable labels and/or value labels.
- Standardized missing values.
- Created online analysis version with question text.
- Performed recodes and/or calculated derived variables.
- Checked for undocumented or out-of-range codes.
Original ICPSR Release: 2011-04-25
- 2012-11-02 The data for this collection have been updated with a new data extract, current as of October 10, 2011. A new variable, ARRESTS, has been included in the dataset.
- 2012-01-30 Changes were made to provide greater utility to the dataset. The variables DETNLF and DETCRIM have been modified in how they were previously recoded. The recode table in the codebooks now show the original percentages of each value for select variables. The order of the variables in the dataset now coincides with the order of the variables in the codebook.
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