Cognitive Therapy-as-Usual versus Cognitive Therapy plus the Memory Support Intervention for adults with depression: 12-month outcomes and opportunities for improved efficacy in a secondary analysis of a randomized controlled trial.

OBJECTIVE: Patient memory for treatment is emerging as an important transdiagnostic mechanism of treatment outcomes. However, patient memory for treatment is limited. The Memory Support Intervention was developed to improve patient memory for treatment and thereby strengthen treatment outcomes. In this secondary analysis, the primary, preregistered aim was to test the 12-month follow-up outcomes of the Memory Support Intervention when used with cognitive therapy (CT + MS) for major depressive disorder, relative to CT-as-usual. The secondary, exploratory aim was to investigate opportunities to improve efficacy of the Memory Support Intervention. METHOD: Adults (N = 178) with major depressive disorder were randomized to CT-as-usual or CT + MS. Therapist use of memory support and patient memory for treatment, depression symptoms, and overall functioning were measured in blind assessments. RESULTS: Findings did not support differences between treatment conditions at 12-month follow-up. Therapists used memory support strategies with a narrow subset of treatment contents, and similarly, patients recalled a narrow subset of treatment contents. CONCLUSIONS: The findings highlight ways to strengthen the efficacy of the Memory Support Intervention, such as applying memory support strategies across a wider variety of treatment contents, which in turn, may boost patient recall and outcomes.

Therapist training in treating sleep problems: A survey study of clinical practice.

OBJECTIVES: Mental health care clinicians' training in treating sleep problems was investigated. We examined clinicians' (1) prior training in providing treatment for sleep problems, (2) interest in receiving training in treatment for sleep problems, and (3) perceptions of the importance of treating sleep problems and interest in incorporating sleep treatments into their practices. METHODS: An online survey was completed by 137 clinicians. RESULTS: The majority of clinicians (61.31%) reported receiving prior training in treating sleep problems, most commonly in the form of a workshop and after receiving a graduate degree. Most clinicians reported interest in receiving further training in treating sleep problems. Clinicians reported that the majority (66.67%) of their clients experience sleep problems, yet reported that they address sleep with fewer than half of clients. Addressing sleep in treatment was rated as "somewhat" to "very" important and most clinicians indicated further interest in receiving training in treating sleep. CONCLUSIONS: Mental health care clinicians receive limited training in treating sleep problems. As clinicians are interested in gaining further training to address sleep concerns within their clinical practice, training programs and continuing education programs should consider increasing the amount of programming in sleep treatment and assessment.

Serial Mediators of Memory Support Strategies Used With Cognitive Therapy for Depression: Improving Outcomes Through Patient Adherence and Treatment Skills.

Patient memory for treatment is poor. Memory support strategies can be integrated within evidence-based psychological treatments to improve patient memory for treatment, and thereby enhance patient outcomes. The present study evaluated possible mechanisms of these memory support strategies. Specifically, we tested whether therapist use of memory support strategies indirectly predicts improved patient outcomes via serial improvements in (a) patient adherence throughout treatment and (b) patient utilization and competency of treatment skills. Adults with major depressive disorder (N = 178, mean age = 37.93, 63% female, 17% Hispanic or Latino) were randomized to Cognitive Therapy plus a Memory Support Intervention or Cognitive Therapy-as-usual. Because therapists from both treatment groups used memory support strategies, data from conditions were combined. Blind assessments of depression severity and overall impairment were conducted before treatment, immediately posttreatment (POST), at 6-month follow-up (6FU), and at 12-month follow-up (12FU). Patient adherence to treatment was rated by therapists and averaged across treatment sessions. Patients completed measures of treatment mechanisms-namely, utilization and competency in cognitive therapy skills-at POST, 6FU, and 12FU. Results of serial mediation models indicated that more therapist use of memory support predicted lower depression severity at POST, 6FU, and 12FU indirectly and sequentially through (a) increased patient adherence during treatment and (b) more utilization and competency of Cognitive Therapy skills at POST, 6FU, and 12FU. The same patterns were found for serial mediation models predicting lower overall impairment at POST, 6FU, and 12FU. Together, boosting memory for treatment may represent a promising means to enhance pantreatment mechanisms (i.e., adherence and treatment skills) as well as patient outcomes.

Applying the Science of Habit Formation to Evidence-Based Psychological Treatments for Mental Illness.

Habits affect nearly every aspect of our physical and mental health. Although the science of habit formation has long been of interest to psychological scientists across disciplines, we propose that applications to clinical psychological science have been insufficiently explored. In particular, evidence-based psychological treatments (EBPTs) are interventions targeting psychological processes that cause and/or maintain mental illness and that have been developed and evaluated scientifically. An implicit goal of EBPTs is to disrupt unwanted habits and develop desired habits. However, there has been insufficient attention given to habit-formation principles, theories, and measures in the development and delivery of EBTPs. Herein we consider whether outcomes following an EBPT would greatly improve if the basic science of habit formation were more fully leveraged. We distill six ingredients that are central to habit formation and demonstrate how these ingredients are relevant to EBPTs. We highlight practice points and an agenda for future research. We propose that there is an urgent need for research to guide the application of the science of habit formation and disruption to the complex "real-life" habits that are the essence of EBPTs.

Outcomes of the Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C) in a community setting: Unpacking comorbidity.

OBJECTIVE: Comorbidity and subdiagnostic symptoms are understudied for sleep and circadian problems. We evaluated 1) impairment associated with (a) number of sleep and circadian problems and (b) diagnostic threshold (full diagnosis vs. subdiagnostic symptoms), and 2) Transdiagnostic Sleep and Circadian Intervention (TranS-C) outcomes for participants with specific sleep and circadian problems. METHOD: Community participants (N = 121) with serious mental illness and sleep and circadian problem(s) were randomized to receive TranS-C plus usual care (TranS-C + UC) or usual care plus delayed TranS-C (UC-DT). Overall impairment, psychiatric symptoms, and sleep and circadian dysfunction were assessed at pre-treatment, post-treatment, and 6-month follow-up. RESULTS: Higher numbers of sleep and circadian problems, versus one problem, were associated with worse overall impairment, psychiatric symptoms, and sleep and circadian dysfunction (ps < 0.05, ω2 = 0.06-0.15). Diagnostic threshold was not associated with baseline functioning (ps > 0.05). TranS-C + UC versus UC-DT was associated with psychosocial and sleep and circadian improvements for specific sleep and circadian problems (insomnia, hypersomnia, parasomnias, periodic limb movement/restless leg syndrome, circadian rhythm disorders), though improvements varied by problem. TranS-C + UC outcomes were not moderated by number of sleep and circadian problems (ps > 0.05). CONCLUSION: Higher numbers of sleep and circadian problems, not diagnostic threshold, were associated with greater impairment. Transdiagnostic utility of TranS-C + UC was supported.

The Development and Validation of the Memory Support Treatment Provider Checklist.

Patient memory for the contents of treatment is staggeringly poor, and poor memory for treatment is associated with worse treatment outcome. Accordingly, the Memory Support Intervention was developed to improve patient memory for treatment as an adjunct to treatment as usual. As plans to disseminate the Memory Support Intervention are developed, it is important to have efficient, accurate methods of measuring fidelity to the intervention. However, the existing method of assessing fidelity to the Memory Support Intervention, the Memory Support Rating Scale (MSRS), is burdensome and requires trained independent-raters to spend multiple hours reviewing session recordings, which is not feasible in many routine mental health care settings. Hence, a provider-rated measure of fidelity to the MSI has been developed. The goal of this study is to examine the reliability and validity of scores on this measure-the Memory Support Treatment Provider Checklist. A sample of Memory Support Treatment Provider Checklists (N = 319) were completed by providers (N = 8) treating adults with depression (N = 84). Three metrics of the Memory Support Treatment Provider Checklist were evaluated: (a) the internal consistency and structural validity using confirmatory factor analysis based on prior research on the MSRS and the Memory Support Intervention, (b) construct validity, and (c) predictive validity. Results indicate that the Memory Support Treatment Provider Checklist yields reliable and valid scores of fidelity to the Memory Support Intervention. Overall, this checklist offers a viable, brief method of evaluating fidelity to the Memory Support Intervention.

Relationship to CBT outcome and dropout of decision support tools of the written case formulation, list of treatment goals and plot of symptom scores.

Many patients who receive cognitive behavior therapy (CBT) for mood and anxiety disorders fail to respond or drop out of treatment. We tested the hypotheses that therapist use of each of three decision support tools, a written case formulation, a list of treatment goals, and a plot of symptom scores, was associated with improved outcome and reduced dropout in naturalistic CBT provided to 845 patients in a private practice setting. We conducted regression analyses to test the hypotheses that the presence of each tool in the clinical record was associated with lower end-of-treatment scores on the Beck Depression Inventory (BDI) and the Burns Anxiety Inventory (BurnsAI), and lower rates of premature and uncollaborative dropout. We found that the presence of a written case formulation in the clinical record was associated with lower rates of both types of dropout. A list of treatment goals was associated with lower end-of-treatment scores on the BDI and the BurnsAI, and a lower rate of uncollaborative but a higher rate of premature dropout. A plot of symptom scores was associated with lower end-of-treatment scores on the BDI, and lower rates of both types of dropout. Results suggest that therapist use of a written case formulation, list of treatment goals, and a plot of symptom scores can contribute to improved outcome and reduced dropout in CBT.

Client memory and learning of treatment contents: An experimental study of intervention strategies and relationship to outcome in a brief treatment for procrastination.

BACKGROUND AND OBJECTIVES: Client memory and learning is limited for psychological treatment contents. This study investigated different approaches to support client memory and learning of treatment contents and the relationship between memory and learning of treatment contents and outcome. METHODS: Adult participants (n = 428) were recruited through Amazon's Mechanical Turk and randomized to complete one of three versions of a one-session procrastination intervention. Two versions of the intervention included different amounts of memory support strategy types from the Memory Support Intervention. A control version did not include any types of memory support. Memory and learning of treatment contents were assessed immediately after the intervention and one week later. Procrastination and two mechanisms of procrastination (impulsiveness and self-efficacy) were assessed at baseline and one week after the intervention. RESULTS: Contrary to the hypotheses, a version of the intervention with multiple types of memory support strategies was not associated with better memory and learning of treatment contents than a version of the intervention with only one type of memory support strategy or the control intervention. Greater memory and learning of treatment contents predicted improvement in mechanisms of procrastination, but not procrastination itself. LIMITATIONS: The mean level of procrastination in this study was lower than in other treatment studies of procrastination. CONCLUSIONS: Results partially support the rationale for the Memory Support Intervention that improving client memory and learning of treatment contents can improve outcome. Findings suggest that the Memory Support Intervention may be simplified to include fewer strategies without compromising efficacy.

Patient constructive learning behavior in cognitive therapy: A pathway for improving patient memory for treatment?

Patient memory for treatment is poor and associated with worse outcome. The Memory Support Intervention was designed to improve outcome by enhancing patient memory for treatment. Half of the strategies comprising the Memory Support Intervention (termed constructive memory support strategies) involve therapists inviting patients to construct new ideas, inferences, or connections related to treatment material that go beyond information already presented by therapists. This study investigated the relationship between patient responses to therapist use of constructive memory support strategies and patient recall of treatment contents. Therapist uses of constructive memory support strategies were coded from sessions recorded during a pilot trial of the Memory Support Intervention in the context of cognitive therapy for depression (n = 44 patients). Patients who successfully constructed new ideas, inferences, or connections (termed patient constructive learning behavior) in response to therapist use of constructive memory support strategies showed greater recall of treatment contents. Mediation analyses provided some evidence that patient constructive learning behavior may be a mechanism through which the Memory Support Intervention results in enhanced patient memory. Results highlight patient constructive learning behavior as a potential pathway for improving patient memory for treatment.

The Relationship Between Dropout and Outcome in Naturalistic Cognitive Behavior Therapy.

Dropout from psychotherapy is frequent and limits the benefits patients can receive from treatment. The study of factors associated with dropout has the potential to yield strategies to reduce it. This study analyzed data from a large sample of adults (N = 1,092) receiving naturalistic cognitive behavioral therapy (CBT) to test the hypotheses that dropouts, as compared to completers, had (1) higher symptom severity at treatment termination, (2) a slower rate of symptom change during treatment, and (3) a higher odds that the therapist rated treatment as ending for reasons related to poor outcome. Results showed that although dropouts ended treatment with higher symptom severity than completers, dropouts and completers did not differ in their rate of symptom change during treatment, suggesting that dropouts had higher symptom severity at termination because they received fewer sessions of treatment, not because their symptoms changed at a slower rate. Dropout was also associated with a higher odds of having a therapist-rated termination reason indicating a poor outcome, suggesting that dropout is more likely if patients are dissatisfied with some aspect of the therapy outcome or process. These findings suggest that strategies for monitoring and enhancing patient satisfaction with the process and outcome of treatment may help patients stay in treatment longer and end treatment with fewer symptoms than if they had dropped out.

Adolescents' Perspectives on Personalized E-Feedback in the Context of Health Risk Behavior Screening for Primary Care: Qualitative Study.

BACKGROUND: Electronic health screening tools for primary care present an opportunity to go beyond data collection to provide education and feedback to adolescents in order to motivate behavior change. However, there is limited research to guide feedback message development. OBJECTIVE: The aim of this study was to explore youth perceptions of and preferences for receiving personalized feedback for multiple health risk behaviors and reinforcement for health promoting behaviors from an electronic health screening tool for primary care settings, using qualitative methodology. METHODS: In total, 31 adolescents aged 13-18 years completed the screening tool, received the electronic feedback, and subsequently participated in individual, semistructured, qualitative interviews lasting approximately 60 min. Participants were queried about their overall impressions of the tool, perceptions regarding various types of feedback messages, and additional features that would help motivate health behavior change. Using thematic analysis, interview transcripts were coded to identify common themes expressed across participants. RESULTS: Overall, the tool was well-received by participants who perceived it as a way to enhance-but not replace-their interactions with providers. They appreciated receiving nonjudgmental feedback from the tool and responded positively to information regarding the consequences of behaviors, comparisons with peer norms and health guidelines, tips for behavior change, and reinforcement of healthy choices. A small but noteworthy minority of participants dismissed the peer norms as not real or relevant and national guidelines as not valid or reasonable. When prompted for possible adaptations to the tool, adolescents expressed interest in receiving follow-up information, setting health-related goals, tracking their behaviors over time, and communicating with providers electronically between appointments. CONCLUSIONS: Adolescents in this qualitative study desired feedback that validates their healthy behavior choices and supports them as independent decision makers by neutrally presenting health information, facilitating goal setting, and offering ongoing technological supports.

Are Trials of Computerized Therapy Generalizable? A Multidimensional Meta-analysis.

BACKGROUND: Previous meta-analyses have established that computerized cognitive behavioral therapy (cCBT) is an effective, acceptable, and efficient method of delivering treatment for anxiety and depression. However, the potential generalizability of these conclusions to nonresearch settings has not yet been investigated. MATERIALS AND METHODS: We conducted a multidimensional meta-analysis of randomized controlled trials of cCBT for anxiety and/or depressive disorders quantifying generalizability by examining the relationship between participant exclusion and treatment outcome. Thirty-six trials of cCBT were identified through systematic searches in six databases. The number of exclusion criteria and exclusion rate served as indices of participant exclusion. Outcome variables included between- and within-group effect sizes in addition to rates of clinically significant improvement. RESULTS: Analyses were performed for all studies, depression studies (n = 11), and anxiety studies (n = 23). Pooling across all studies, we found a between-group effect size of 0.85 (95% confidence interval, 0.77-0.94). The mean number of exclusionary criteria was 12 (range, 2-24), and the mean exclusion rate was 0.49 (range, 0.08-0.92). Risk for suicide was the most common criterion for exclusion. Correlation analyses revealed a large relationship between number of exclusion criteria and proportion clinically changed in the treatment group for anxiety studies (r = 0.70). Results provide evidence for the limited effectiveness of cCBT for anxiety disorders in nonresearch samples. CONCLUSIONS: As computerized therapy is developed to address barriers to dissemination, future trials should examine the effectiveness of cCBT for anxiety for patients with more complex clinical presentations.