Internet-Delivered, Therapist-Assisted Treatment for Anxiety and Depression in Patients with Cardiovascular Disease: Evidence-Base and Challenges.

PURPOSE OF REVIEW: This review focuses on the efficacy of internet-based psychological interventions for patients with cardiovascular disease (CVD) and comorbid anxiety and depression. Anxiety and depression comprise barriers for treatment adherence and are associated with poorer patient-reported and clinical outcomes, and greater health care costs. RECENT FINDINGS: Internet-based, therapist-assisted interventions targeting anxiety and depression can be as efficacious as face-to-face therapy and may have some advantages, as patients can do it from their own laptop/smartphone at home at a time of their convenience, which may facilitate a better integration in their lives. To enhance the field of internet-based therapy for patients with CVD, we need to involve patients in the development of interventions, focus on developing standards for adherence and assessment of fidelity, and assess and augment health literacy in patients to safeguard equality in health care.

Does Internet-based guided-self-help for depression cause harm? An individual participant data meta-analysis on deterioration rates and its moderators in randomized controlled trials.

BACKGROUND: Almost nothing is known about the potential negative effects of Internet-based psychological treatments for depression. This study aims at investigating deterioration and its moderators within randomized trials on Internet-based guided self-help for adult depression, using an individual patient data meta-analyses (IPDMA) approach. METHOD: Studies were identified through systematic searches (PubMed, PsycINFO, EMBASE, Cochrane Library). Deterioration in participants was defined as a significant symptom increase according to the reliable change index (i.e. 7.68 points in the CES-D; 7.63 points in the BDI). Two-step IPDMA procedures, with a random-effects model were used to pool data. RESULTS: A total of 18 studies (21 comparisons, 2079 participants) contributed data to the analysis. The risk for a reliable deterioration from baseline to post-treatment was significantly lower in the intervention v. control conditions (3.36 v. 7.60; relative risk 0.47, 95% confidence interval 0.29-0.75). Education moderated effects on deterioration, with patients with low education displaying a higher risk for deterioration than patients with higher education. Deterioration rates for patients with low education did not differ statistically significantly between intervention and control groups. The benefit-risk ratio for patients with low education indicated that 9.38 patients achieve a treatment response for each patient experiencing a symptom deterioration. CONCLUSIONS: Internet-based guided self-help is associated with a mean reduced risk for a symptom deterioration compared to controls. Treatment and symptom progress of patients with low education should be closely monitored, as some patients might face an increased risk for symptom deterioration. Future studies should examine predictors of deterioration in patients with low education.

Neuroplasticity in response to cognitive behavior therapy for social anxiety disorder.

Patients with anxiety disorders exhibit excessive neural reactivity in the amygdala, which can be normalized by effective treatment like cognitive behavior therapy (CBT). Mechanisms underlying the brain's adaptation to anxiolytic treatments are likely related both to structural plasticity and functional response alterations, but multimodal neuroimaging studies addressing structure-function interactions are currently missing. Here, we examined treatment-related changes in brain structure (gray matter (GM) volume) and function (blood-oxygen level dependent, BOLD response to self-referential criticism) in 26 participants with social anxiety disorder randomly assigned either to CBT or an attention bias modification control treatment. Also, 26 matched healthy controls were included. Significant time × treatment interactions were found in the amygdala with decreases both in GM volume (family-wise error (FWE) corrected P(FWE) = 0.02) and BOLD responsivity (P(FWE) = 0.01) after successful CBT. Before treatment, amygdala GM volume correlated positively with anticipatory speech anxiety (P(FWE)=0.04), and CBT-induced reduction of amygdala GM volume (pre-post) correlated positively with reduced anticipatory anxiety after treatment (P(FWE) ⩽ 0.05). In addition, we observed greater amygdala neural responsivity to self-referential criticism in socially anxious participants, as compared with controls (P(FWE) = 0.029), before but not after CBT. Further analysis indicated that diminished amygdala GM volume mediated the relationship between decreased neural responsivity and reduced social anxiety after treatment (P=0.007). Thus, our results suggest that improvement-related structural plasticity impacts neural responsiveness within the amygdala, which could be essential for achieving anxiety reduction with CBT.

Predictors of treatment dropout in self-guided web-based interventions for depression: an 'individual patient data' meta-analysis.

BACKGROUND: It is well known that web-based interventions can be effective treatments for depression. However, dropout rates in web-based interventions are typically high, especially in self-guided web-based interventions. Rigorous empirical evidence regarding factors influencing dropout in self-guided web-based interventions is lacking due to small study sample sizes. In this paper we examined predictors of dropout in an individual patient data meta-analysis to gain a better understanding of who may benefit from these interventions. METHOD: A comprehensive literature search for all randomized controlled trials (RCTs) of psychotherapy for adults with depression from 2006 to January 2013 was conducted. Next, we approached authors to collect the primary data of the selected studies. Predictors of dropout, such as socio-demographic, clinical, and intervention characteristics were examined. RESULTS: Data from 2705 participants across ten RCTs of self-guided web-based interventions for depression were analysed. The multivariate analysis indicated that male gender [relative risk (RR) 1.08], lower educational level (primary education, RR 1.26) and co-morbid anxiety symptoms (RR 1.18) significantly increased the risk of dropping out, while for every additional 4 years of age, the risk of dropping out significantly decreased (RR 0.94). CONCLUSIONS: Dropout can be predicted by several variables and is not randomly distributed. This knowledge may inform tailoring of online self-help interventions to prevent dropout in identified groups at risk.

Predicting long-term outcome of Internet-delivered cognitive behavior therapy for social anxiety disorder using fMRI and support vector machine learning.

Cognitive behavior therapy (CBT) is an effective treatment for social anxiety disorder (SAD), but many patients do not respond sufficiently and a substantial proportion relapse after treatment has ended. Predicting an individual's long-term clinical response therefore remains an important challenge. This study aimed at assessing neural predictors of long-term treatment outcome in participants with SAD 1 year after completion of Internet-delivered CBT (iCBT). Twenty-six participants diagnosed with SAD underwent iCBT including attention bias modification for a total of 13 weeks. Support vector machines (SVMs), a supervised pattern recognition method allowing predictions at the individual level, were trained to separate long-term treatment responders from nonresponders based on blood oxygen level-dependent (BOLD) responses to self-referential criticism. The Clinical Global Impression-Improvement scale was the main instrument to determine treatment response at the 1-year follow-up. Results showed that the proportion of long-term responders was 52% (12/23). From multivariate BOLD responses in the dorsal anterior cingulate cortex (dACC) together with the amygdala, we were able to predict long-term response rate of iCBT with an accuracy of 92% (confidence interval 95% 73.2-97.6). This activation pattern was, however, not predictive of improvement in the continuous Liebowitz Social Anxiety Scale-Self-report version. Follow-up psychophysiological interaction analyses revealed that lower dACC-amygdala coupling was associated with better long-term treatment response. Thus, BOLD response patterns in the fear-expressing dACC-amygdala regions were highly predictive of long-term treatment outcome of iCBT, and the initial coupling between these regions differentiated long-term responders from nonresponders. The SVM-neuroimaging approach could be of particular clinical value as it allows for accurate prediction of treatment outcome at the level of the individual.

Outcome predictors in guided and unguided self-help for social anxiety disorder.

Internet-based self-help with therapist guidance has shown promise as an effective treatment and may increase access to evidence-based psychological treatment for social anxiety disorder (SAD). Although unguided self-help has been suggested primarily as a population-based preventive intervention, some studies indicate that patients with SAD may profit from unguided self-help. Gaining knowledge about predictors of outcome in guided and unguided self-help for SAD is important to ensure that these interventions can be offered to those who are most likely to respond. Utilizing a sample of 245 patients who received either guided or unguided self-help for SAD, the present study examined pre-treatment symptoms and program factors as predictors of treatment adherence and outcome. The results were in line with previous findings from the face-to-face treatment literature: namely, the intensity of baseline SAD symptoms, but not depressive symptoms, predicted treatment outcomes in both unguided and guided self-help groups. Outcomes were unrelated to whether a participant has generalized versus specific SAD. Furthermore, for the unguided self-help group, higher credibility ratings of the treatment program were associated with increased treatment adherence. The findings suggest that guided and unguided self-help may increase access to SAD treatment in a population that is more heterogeneous than previously assumed.

Randomized trial of Internet-based relapse prevention for partially remitted depression.

OBJECTIVE: To investigate whether Internet-based cognitive behaviour therapy (CBT) can prevent relapse in persons with partially remitted major depression after previous treatment. METHOD: Seventy-one women and 13 men (N = 84) with partially remitted major depression after treatment were randomly assigned to either 10 weeks of Internet-based CBT or to a control group. Self-help material was used in combination with e-mail contact with a personal therapist. Monthly self-ratings of depressive symptoms were made, and diagnostic interviews were conducted before and after the treatment period, as well as 6 months later. RESULTS: Significantly fewer participants in the CBT group experienced relapse (4/38 or 10.5%) compared with those in the control group (14/37 or 37.8%). The difference in relapse rates between groups occurred early in the study period and was still apparent after 6 months. A trend towards a larger reduction in depressive symptoms was observed at post-treatment in the participants who received CBT compared with controls. Reduction in depressive symptoms reduced the risk of relapse. A trend towards a higher remission rate was found in the CBT group at the 6 month follow-up. CONCLUSION: Internet-based CBT seems promising in preventing relapse in persons with partially remitted major depression after previous treatment.

Remote treatment of bulimia nervosa and binge eating disorder: a randomized trial of Internet-assisted cognitive behavioural therapy.

The present study investigated the efficacy of self-help based on cognitive behaviour therapy in combination with Internet support in the treatment of bulimia nervosa and binge eating disorder. After confirming the diagnosis with an in-person interview, 73 patients were randomly allocated to treatment or a waiting list control group. Treated individuals showed marked improvement after 12 weeks of self-help compared to the control group on both primary and secondary outcome measures. Intent-to-treat analyses revealed that 37% (46% among completers) had no binge eating or purging at the end of the treatment and a considerable number of patients achieved clinically significant improvement on most of the other measures as well. The results were maintained at the 6-month follow-up, and provide evidence to support the continued use and development of self-help programmes.