The 59-item Barriers to Treatment Inventory (BTI) was administered to 312 substance abusers at a centralized intake unit following assessment but before treatment entry to assess their views on barriers to treatment. Factor analysis identified 25 items in 7 well-defined latent constructs: Absence of Problem, Negative Social Support, Fear of Treatment, Privacy Concerns, Time Conflict, Poor Treatment Availability, and Admission Difficulty. The factorial structure of the barriers is consistent with the findings of other studies that asked substance abusers about barriers to treatment and is conceptually compatible with Andersen's model of health care utilization. Factors were moderately to highly correlated, suggesting that they interact with one another. Selected characteristics were generally not predictive of barrier factors. Overall, results indicate that the BTI has good content validity and is a reliable instrument for assessing barriers to drug treatment. The potential utility of the BTI in assessment settings is discussed.

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Waiting time is a contemporary reality of many drug abuse treatment programs, resulting in substantial problems for substance users and society. Individual and system factors that influence waiting time are diverse and may vary at different points in the treatment continuum. This study assessed waiting time preceding clinical assessment at a centralized intake unit and during the period after the assessment but before treatment entry. The present study included 577 substance abusers who were enrolled in a large clinical trial of two brief treatment interventions in a midsize metropolitan area in Ohio. Bivariate analyses identified individual and system factors that influenced preassessment and postassessment waiting time, as well as total wait to treatment services. Multivariate analyses demonstrated that longer wait time for an assessment is influenced by being court referred, less belief in having a substance abuse problem, and less desire for change. A shorter wait to actually enter treatment is predicted by having a case manager, being more ready for treatment, and having less severe employment and alcohol problems. The different influences present during the two waiting periods suggest that assessment and treatment programs need to implement system changes and entry enhancement interventions that are specific to the needs of substance abusers at each waiting period.

The goal of the present study was to identify the dimensions present in items representing internal barriers to substance abuse treatment and to test their invariance across gender, ethnic, and age groups. Twenty items from the Barriers to Treatment Inventory (BTI) were used to assess the structure and nature of the internal treatment barriers of 518 clients presenting to a central intake unit for a substance abuse assessment. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) revealed that a five factor model provided the best fit to the data. Internal treatment barriers were best described by five dimensions: absence of problem, negative social support, fear of treatment, privacy concerns, and committed lifestyle. Extending the confirmatory factor analysis to test multigroup invariance, there were some differences in measurement and structural relations among the internal barrier dimensions across gender, ethnic, and age groups. However, the lack of invariance was small and practically insubstantial. The findings led to the conclusion that the theoretical constructs measured by the five internal barrier dimensions are equivalent across important characteristics in this population.

The goal of this study was to more fully understand readiness for treatment in a pre-treatment sample of 446 substance abusers. Structural Equation Modeling (SEM) was used to: (1) examine the relationships between readiness factors identified in the Pre-Treatment Readiness Scale; and (2) identify the effects of predisposing, illness, and inhibiting determinants on the factors. As with intreatment samples, Problem Recognition was found to influence Treatment Readiness, although through a different intervening factor, Desire for Change rather than Desire for Help. A fourth factor, Treatment Reluctance, was also influenced by the Desire for Change factor. Fixed characteristics such as age and gender had minimal influences on readiness factors, as did inhibiting characteristics that reflected recent functioning. Illness characteristics including drug severity and perceived treatment barriers had a more robust influence on readiness factors. This study provides an increased understanding of readiness for treatment among pre-treatment substance abusers and also supported the construct validity of the Pre-Treatment Readiness Scale.