Technological Advances in Cognitive-Behavioral Therapy and Clinical Practice: Challenges in an Evolving Field.

Technological innovations in cognitive-behavioral therapy (CBT) provide excellent opportunities for mental health clinicians to expand access to mental health treatment among culturally diverse and marginalized populations. This brief report highlights challenges that mental health clinicians encounter as they integrate technological innovations in CBT into their work with diverse clients and provides recommendations for addressing them. The authors identify five key challenges of using technology-driven CBT: development of the therapeutic alliance; potential fit for clients from culturally diverse backgrounds and marginalized groups; geographic and economic access; ethical and legal concerns; and competency in CBT practice, training, and supervision. Technological advances in CBT allow clinicians to treat more individuals from underserved communities. Existing challenges compel clinicians across disciplines to ensure that their practice is congruent with CBT practice values and ethics, policy, and research and that the best available CBT intervention can be integrated into all aspects of mental health practice.

Perceived Treatment Needs Among Women With Co-occurring Substance Use Disorders and PTSD.

OBJECTIVE: Perception of need is a key factor that influences decisions to seek help and complete treatment for substance use and mental health problems. In the current study, we examine patterns of perceived treatment needs among women with co-occurring substance use disorders and posttraumatic stress disorder (PTSD) and explore how these patterns are associated with demographics, psychosocial variables, and treatment-related factors. METHODS: Secondary data analysis of the Women and Trauma Study from the National Institute on Drug Abuse's Clinical Trial Network was conducted. The sample included 353 women with co-occurring substance use disorders and PTSD (full or subthreshold) receiving outpatient substance abuse treatment. Latent class analysis was used to examine patterns of perceived treatment need and multinomial logistic regression was used to identify characteristics associated with these patterns. RESULTS: The sample included women between the ages of 18 and 65 (mean = 39.2, SD = 9.3) and was 46% White, 34% African American, and 21% other races/ethnicities. A three-class model representing unique perceptions of treatment needs demonstrated the best fit (Bayesian information criterion = 2101.43; entropy = 0.76; average posterior probabilities ≤ 0.82). Class one reported elevated needs in multiple areas (38%), class two reported low needs (23%), and class three reported substance use and psychological needs (40%). Living with a substance abuser, depression symptoms, recent substance use, and treatment coercion were significantly associated with membership in class 2 (OR = .28, .84, .22, and 2.32, respectively). Other race, being married, depression symptoms, recent substance use, and criminal justice involvement were associated with membership in class 3 (OR = 2.32, 2.32, .94, .42, and 1.69, respectively). Number of treatment sessions attended was not significantly associated with class membership. CONCLUSIONS: Results provide insight into how women with co-occurring PTSD and substance use disorders view their treatment needs. While some women reported high levels of self-identified need in other areas (e.g., physical health, employment/financial support, and family or social relationships), others did not identify as having any problems (including substance use or psychological problems). Level of severity and temporal aspects of problems may be significant factors that influence women's perceived need for treatment. This clinical trial is registered at www.clinicaltrials.gov as trial #NCT00078156.