Computerized cognitive behavioral therapy is an efficacious treatment for anxiety and depression with the potential to improve access to evidence-based care. However, its adoption in clinical practice in the US has been low and thus there is a need for identification of barriers to its use. We examined treatment-seeking patient (n = 55) and clinician (n = 26) perceptions of computer-based psychological treatment (CBPT) using Diffusion of Innovations theory as a conceptual framework. Diffusion of Innovations theory emphasizes potential adopter perceptions as being key to understanding adoption decisions, thus making it an ideal framework for evaluating barriers to use. Overall, treatment-seeking patients held slightly negative perceptions of CBPT, while clinicians' perceptions were more neutral. In both groups, perceptions of observability (seeing or hearing about the treatment in use) were rated lowest. Implications for dissemination efforts and suggestions for future research are discussed.

The present study examined (a) whether sleep related problems (SRPs) improved following cognitive-behavioral therapy (CBT) for youth with anxiety disorders, (b) whether variables that may link anxiety and SRPs (e.g., pre-sleep arousal, family accommodation, sleep hygiene) changed during treatment, and (c) whether such changes predicted SRPs at posttreatment. Youth were diagnosed with anxiety at pretreatment and received weekly CBT that targeted their principal anxiety diagnosis at one of two specialty clinics (N=69 completers, Mage=10.86). Results indicated that parent-reported SRPs improved from pre- to post-treatment and that treatment responders with regard to anxiety yielded greater SRP improvements than nonresponders. Parent report of bedtime resistance and sleep anxiety showed significant improvements. Youth reported lower rates of SRPs compared to their parents and did not demonstrate pre- to post-treatment changes in SRPs. Pre-sleep arousal and family accommodation decreased over treatment but did not predict lower SRPs at posttreatment. Higher accommodation was correlated with greater SRPs. Sleep hygiene evidenced no change and did not mediate links between accommodation and posttreatment SRPs.

The present investigation aimed to understand quality of life domains relevant to adults with type 2 diabetes mellitus (T2DM), and the relative associations of depression and diabetes distress with these domains. Participants were 146 individuals with T2DM who were recruited for entry into a randomized controlled trial of cognitive behavioral therapy for adherence and depression. We conducted an exploratory factor analysis on the Quality of Life Inventory (QOLI) to establish domains of quality of life relevant to this patient population. Hierarchical multiple regression models were evaluated for each domain that emerged to determine independent associations of depression severity and diabetes distress with quality of life independent of demographic and illness factors. Results suggested four quality of life domains: achievement, psychosocial growth, interpersonal relationships, and environment, accounting for 60.1 % of variance in total QOLI scores. Depression severity was associated with poorer quality of life on the achievement, psychosocial growth, and environment domains (p’s < 0.01), while diabetes distress was associated with poorer quality of life on the achievement (p < 0.001) domain and marginally associated with quality of life on the psychosocial growth (p < 0.10) domain. Interventions designed to address both depression and diabetes distress may lead to better quality of life outcomes than a generalized depression intervention or an intervention for diabetes alone.