Highlights

Treatment Completion
Median Length of Stay (LOS)
Client Characteristics
Client Characteristics Associated with Treatment Completion or Transfer to Further Treatment

This report presents results from the Treatment Episode Data Set (TEDS) for clients discharged from substance abuse treatment in 2005. The report provides information on treatment completion, length of stay in treatment, and demographic and substance abuse characteristics of approximately 1.5 million discharges from alcohol or drug treatment in facilities that report to individual State administrative data systems.

The TEDS Discharge Data System was designed to enable TEDS to collect information on entire treatment episodes. States are asked to submit data for all discharges from substance abuse treatment. Discharge data, when linked to admissions data, represent treatment episodes that enable analyses of questions that cannot be answered with admissions data alone (e.g., the proportion of discharges who completed treatment and the average length of stay of treatment completers).

TEDS is an admission-based system, and TEDS admissions do not represent individuals. Thus, for example, an individual admitted to treatment twice within a calendar year would be counted as two admissions.

TEDS does not include all admissions to substance abuse treatment. It includes data from facilities that are licensed or certified by the State substance abuse agency to provide substance abuse treatment (or are administratively tracked for other reasons). In general, facilities reporting TEDS data are those that receive State alcohol and/or drug agency funds (including Federal Block Grant funds) for the provision of alcohol and/or drug treatment services.


Treatment Completion
Median Length of Stay (LOS)

Client Characteristics

The most common characteristics among all discharges combined were:

Client Characteristics Associated with Treatment Completion or Transfer to Further Treatment

Two of the Reason for discharge categories, treatment completion and transfer to further substance abuse treatment, represent positive conclusions to a treatment episode. To examine the client characteristics associated with treatment completion or transfer to further treatment, univariate logistic regression and multiple conditional logistic regression analyses were conducted [footnote, Chapter 2].

Univariate analyses of discharges from all service types combined identified client characteristics that were significantly associated with treatment completion or transfer to further treatment [Table 2.8a].

All of the client characteristics that were significantly associated with treatment completion or transfer to further treatment in the univariate analyses remained significantly associated the multivariate analysis. However, the association was weakened for most client characteristics when adjusted for the presence of the other client characteristics in the model [Table 2.8b and Figure 2.5]:

For all discharges combined, the strongest predictor of treatment completion or transfer to further treatment was the use of alcohol rather than other drugs. Clients discharged from all types of service combined were 82 percent more likely to complete treatment or to transfer to further treatment if their primary substance was alcohol, after taking into account all other characteristics associated with that outcome.

Alcohol use as a predictor of treatment completion or transfer to further treatment was followed by daily substance use (21 percent), being over 40 at admission (19 percent), having 12 or more years of education (14 percent), being White (13 percent), referral to treatment by the criminal justice system (9 percent), being employed (7 percent), and being male (5 percent).


* Percentages do not sum to 100 percent because of rounding.

To table of contents
To table of contents