Barriers, facilitators, and benefits of implementation of dialectical behavior therapy in routine care: results from a national program evaluation survey in the Veterans Health Administration.

National implementation of evidence-based psychotherapies (EBPs) in the Veterans Health Administration (VHA) provides important lessons on the barriers and facilitators to implementation in a large healthcare system. Little is known about barriers and facilitators to the implementation of a complex EBP for emotional and behavioral dysregulation-dialectical behavioral therapy (DBT). The purpose of this study was to understand VHA clinicians' experiences with barriers, facilitators, and benefits from implementing DBT into routine care. This national program evaluation survey measured site characteristics of VHA sites (N = 59) that had implemented DBT. DBT was most often implemented in general mental health outpatient clinics. While 42% of sites offered all four modes of DBT, skills group was the most frequently implemented mode. Fifty-nine percent of sites offered phone coaching in any form, yet only 11% of those offered it all the time. Providers were often provided little to no time to support implementation of DBT. Barriers that were difficult to overcome were related to phone coaching outside of business hours. Facilitators to implementation included staff interest and expertise. Perceived benefits included increased hope and functioning for clients, greater self-efficacy and compassion for providers, and ability to treat unique symptoms for clinics. There was considerable variability in the capacity to address implementation barriers among sites implementing DBT in VHA routine care. Mental health policy makers should note the barriers and facilitators reported here, with specific attention to phone coaching barriers.

Dialectical Behavior Therapy Training and Desired Resources for Implementation: Results From a National Program Evaluation in the Veterans Health Administration.

CONTEXT: Little is known about nonresearch training experiences of providers who implement evidence-based psychotherapies for suicidal behaviors among veterans. EVIDENCE ACQUISITION: This national program evaluation identified the history of training, training needs, and desired resources of clinicians who work with at-risk veterans in a national health care system. This sequential mixed methods national program evaluation used a post-only survey design to obtain needs assessment data from clinical sites (N = 59) within Veterans Health Administration (VHA) facilities that implemented dialectical behavior therapy (DBT). Data were also collected on resources preferred to support ongoing use of DBT. RESULTS: While only 33% of clinical sites within VHA facilities reported that staff attended a formal DBT intensive training workshop, nearly 97% of participating sites reported having staff who completed self-study using DBT manuals. Mobile apps for therapists and clients and templates for documentation in the electronic health records to support measurement-based care were desired clinical resources. CONCLUSION: Results indicate that less-intensive training models can aid staff in implementing DBT in real-world health care settings. While more training is requested, a number of VHA facilities have successfully implemented DBT into the continuum of care for veterans at risk for suicide.

How low should you go? Determining the optimal cutoff for exhaled carbon monoxide to confirm smoking abstinence when using cotinine as reference.

INTRODUCTION: Confirming abstinence during smoking cessation clinical trials is critical for determining treatment effectiveness. Several biological methods exist for verifying abstinence (e.g., exhaled carbon monoxide [CO], cotinine), and while cotinine provides a longer window of detection, it is not easily used in trials involving nicotine replacement therapy. The Society for Research on Nicotine and Tobacco's Subcommittee on Biochemical Verification cite 8-10 parts per million (ppm) for CO as a viable cutoff to determine abstinence; however, recent literature suggests this cutoff is likely too high and may overestimate the efficacy of treatment. METHODS: This study examined the relationship between CO and cotinine in a sample of 662 individuals participating in a smoking cessation clinical trial. A receiver operating characteristics curve was calculated to determine the percentage of false positives and false negatives at given CO levels when using cotinine as confirmation of abstinence. Differences were also examined across race and gender. RESULTS: A CO cutoff of 3 ppm (97.1% correct classification) most accurately distinguished smokers from nonsmokers. This same cutoff was accurate for both racial and gender groups. The standard cutoffs of 8 ppm (14.0% misclassification of smokers as abstainers) and 10 ppm (20.6% misclassification of smokers as abstainers) produced very high false-negative rates and inaccurately identified a large part of the sample as being abstinent when their cotinine test identified them as still smoking. CONCLUSIONS: It is recommended that researchers and clinicians adopt a more stringent CO cutoff in the range of 3-4 ppm when complete abstinence from smoking is the goal.

Expectancies for the effectiveness of different tobacco interventions account for racial and gender differences in motivation to quit and abstinence self-efficacy.

INTRODUCTION: Racial and gender disparities for smoking cessation might be accounted for by differences in expectancies for tobacco interventions, but few studies have investigated such differences or their relationships with motivation to quit and abstinence self-efficacy. METHODS: In this cross-sectional study, 673 smokers (African American: n = 443, 65.8%; women: n = 222, 33.0%) under criminal justice supervision who enrolled in a clinical smoking cessation trial in which all received bupropion and half received counseling. All participants completed pretreatment measures of expectancies for different tobacco interventions, motivation to quit, and abstinence self-efficacy. The indirect effects of race and gender on motivation to quit and abstinence self-efficacy through expectancies for different tobacco interventions were evaluated. RESULTS: African Americans' stronger expectancies that behavioral interventions would be effective accounted for their greater motivation to quit and abstinence self-efficacy. Women's stronger expectancies for the effectiveness of pharmacotherapy accounted for their greater motivation to quit, whereas their stronger expectancies for the effectiveness of behavioral treatments accounted for their greater abstinence self-efficacy. CONCLUSIONS: Findings point to the mediating role of expectancies for treatment effectiveness and suggest the importance of exploring expectancies among African Americans and women as a way to augment motivation and self-efficacy.

The impact of decreased environmental reward in predicting depression severity: support for behavioral theories of depression.

Insufficient response-contingent positive reinforcement and decreased environmental reward have been hypothesized to directly contribute to the onset and persistence of depression. The present study examined whether decreased environmental reward was significantly associated with self-reported depression and diagnosed major depression relative to other well-established risk factors that included gender, stressful life events, traumatic life events, childhood maltreatment, and cognitive vulnerability. Based on hierarchical regression analyses, all variables except gender were significantly associated with self-reported depression, and stressful life events, cognitive vulnerability, and decreased environmental reward were associated with diagnosed depression. Of all variables, decreased environmental reward was most strongly related to both self-reported depression and diagnosed clinical depression. The incremental validity of environmental reward in predicting self-reported depression and clinical depression was established, accounting for significant unique variance (12%) in each regression equation. Implications for conceptualizing and treating depression are discussed.