Internet-based cognitive behavioural therapy combined with attentional bias modification training in generalized anxiety disorder: a randomized, controlled multi-session experiment.

Social anxiety disorder (SAD) is one of the most common lifelong anxiety disorders. Although cognitive behavioural therapy (CBT) has proven to be effective in treating people with SAD, it may not be available for a considerable proportion of patients. Internet-based CBT (ICBT) is more accessible than face-to-face treatment. This meta-analysis evaluated the efficacy of ICBT in patients with SAD. We searched five databases, PubMed, Cochrane Central Register of Controlled Trials, Health Management Information Consortium, Ovid MEDLINE and EMBASE, and identified 20 eligible randomized controlled trials published from inception to 25 July 2020, with the outcome data from 1,743 participants. The results indicated that ICBT had a significant positive effect on patients with SAD compared with the control groups (g=-0.55). A subgroup analysis revealed that ICBT and CBT had an equal effect on treating patients with SAD (g=-0.18). There was also no difference between ICBT and ICBT plus other therapies in the treatment of patients with SAD (g=-0.07). The effect size of ICBT on patients with SAD was maintained at the 6-month follow-up (g=-0.08) and at the 12-month follow-up (g=-0.17). The findings of this review demonstrated that ICBT can significantly reduce SAD symptoms and that ICBT and face-to-face CBT produce equivalent effects. The results of this meta-analysis contributed to the literature on ICBT for the treatment of patients with SAD, although numerous aspects of ICBT were identified for future investigations.

Background: Guided Internet-based cognitive behavior therapy (ICBT) has been tested in many trials and found to be effective in the treatment of anxiety and mood disorders. Generalized anxiety disorder (GAD) has also been treated with ICBT, but there are no controlled trials on guided Internet-based psychodynamic treatment (IPDT). Since there is preliminary support for psychodynamic treatment for GAD, we decided to test if a psychodynamically informed self-help treatment could be delivered via the Internet. The aim of the study was to investigate the efficacy of IPDT for GAD and to compare against ICBT and a waiting list control group. Method: A randomized controlled superiority trial with individuals diagnosed with GAD comparing guided ICBT (n = 27) and IPDT (n = 27) against a no treatment waiting list control group (n = 27). The primary outcome measure was the Penn State Worry Questionnaire. Results: While there were no significant between-group differences immediately after treatment on the main outcome measure, both IPDT and ICBT resulted in improvements with moderate to large within-group effect sizes at 3 and 18 months follow-up on the primary measure in the completer analyses. The differences against the control group, although smaller, were still significant for both PDT and CBT when conforming to the criteria of clinically significant improvement. The active treatments did not differ significantly. There was a significant group by time interaction regarding GAD symptoms, but not immediately after treatment. Conclusions: IPDT and ICBT both led to modest symptom reduction in GAD, and more research is needed.

Attentional bias to pain-related information has been implicated in pain chronicity. To date, research investigating attentional bias modification training (ABMT) procedures in people with chronic pain has found variable success, perhaps because training paradigms are typically repetitive and monotonous, which could negatively affect engagement and adherence. Increasing engagement through the gamification (ie, the use of game elements) of ABMT may provide the opportunity to overcome some of these barriers. However, ABMT studies applied to the chronic pain field have not yet incorporated gamification elements. This study aimed to investigate the effects of a gamified web-delivered ABMT intervention in a sample of adults with chronic pain via a randomized, double-blind, placebo-controlled trial. A final sample of 129 adults with chronic musculoskeletal pain, recruited from clinical (hospital outpatient waiting list) and nonclinical (wider community) settings, were included in this randomized, double-blind, placebo-controlled, 3-arm trial. Participants were randomly assigned to complete 6 web-based sessions of nongamified standard ABMT (n=43), gamified ABMT (n=41), or a control condition (nongamified sham ABMT; n=45) over a period of 3 weeks. Active ABMT conditions trained attention away from pain-related words. The gamified task included a combination of 5 game elements. Participant outcomes were assessed before training, during training, immediately after training, and at 1-month follow-up. Primary outcomes included self-reported and behavioral engagement, pain intensity, and pain interference. Secondary outcomes included anxiety, depression, cognitive biases, and perceived improvement. Results of the linear mixed model analyses suggest that across all conditions, there was an overall small to medium decline in self-reported task-related engagement between sessions 1 and 2 (P<.001; Cohen d=0.257; 95% CI 0.13-0.39), sessions 1 and 3 (P<.001; Cohen d=0.368; 95% CI 0.23-0.50), sessions 1 and 4 (P<.001; Cohen d=0.473; 95% CI 0.34-0.61), sessions 1 and 5 (P<.001; Cohen d=0.488; 95% CI 0.35-0.63), and sessions 1 and 6 (P<.001; Cohen d=0.596; 95% CI 0.46-0.73). There was also an overall small decrease in depressive symptoms from baseline to posttraining assessment (P=.007; Cohen d=0.180; 95% CI 0.05-0.31) and in pain intensity (P=.008; Cohen d=0.180; 95% CI 0.05-0.31) and pain interference (P<.001; Cohen d=0.237; 95% CI 0.10-0.37) from baseline to follow-up assessment. However, no differential effects were observed over time between the 3 conditions on measures of engagement, pain intensity, pain interference, attentional bias, anxiety, depression, interpretation bias, or perceived improvement (all P values>.05). These findings suggest that gamification, in this context, was not effective at enhancing engagement, and they do not support the widespread clinical use of web-delivered ABMT in treating individuals with chronic musculoskeletal pain. The implications of these findings are discussed, and future directions for research are suggested. Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12620000803998; https://anzctr.org.au/ACTRN12620000803998.aspx. RR2-10.2196/32359.

BackgroundNoncardiac chest pain has a high prevalence and is associated with reduced quality of life, anxiety, avoidance of physical activity, and high societal costs. There is a lack of an effective, low-cost, easy to distribute intervention to assist patients with noncardiac chest pain.ObjectiveIn this study, we aimed to investigate the effectiveness of internet-based cognitive behavioral therapy with telephone support for noncardiac chest pain.MethodsWe conducted a randomized controlled trial, with a 12-month follow-up period, to compare internet-based cognitive behavioral therapy to a control condition (treatment as usual). A total of 162 participants aged 18 to 70 years with a diagnosis of noncardiac chest pain were randomized to either internet-based cognitive behavioral therapy (n=81) or treatment as usual (n=81). The participants in the experimental condition received 6 weekly sessions of internet-based cognitive behavioral therapy. The sessions covered different topics related to coping with noncardiac chest pain (education about the heart, physical activity, interpretations/attention, physical reactions to stress, optional panic treatment, and maintaining change). Between sessions, the participants also engaged in individually tailored physical exercises with increasing intensity. In addition to internet-based cognitive behavioral therapy sessions, participants received a brief weekly call from a clinician to provide support, encourage adherence, and provide access to the next session. Participants in the treatment-as-usual group received standard care for their noncardiac chest pain without any restrictions. Primary outcomes were cardiac anxiety, measured with the Cardiac Anxiety Questionnaire, and fear of bodily sensations, measured with the Body Sensations Questionnaire. Secondary outcomes were depression, measured using the Patient Health Questionnaire; health-related quality of life, measured using the EuroQol visual analog scale; and level of physical activity, assessed with self-report question. Additionally, a subgroup analysis of participants with depressive symptoms at baseline (PHQ-9 score ≥5) was conducted. Assessments were conducted at baseline, posttreatment, and at 3- and 12-month follow-ups. Linear mixed models were used to evaluate treatment effects. Cohen d was used to calculate effect sizes.ResultsIn the main intention-to-treat analysis at the 12-month follow-up time point, participants in the internet-based cognitive behavioral therapy group had significant improvements in cardiac anxiety (–3.4 points, 95% CI –5.7 to –1.1; P=.004, d=0.38) and a nonsignificant improvement in fear of bodily sensations (–2.7 points, 95% CI –5.6 to 0.3; P=.07) compared with the treatment-as-usual group. Health-related quality of life at the 12-month follow-up improved with statistical and clinical significance in the internet-based cognitive behavioral therapy group (8.8 points, 95% CI 2.8 to 14.8; P=.004, d=0.48) compared with the treatment-as-usual group. Physical activity had significantly (P<.001) increased during the 6-week intervention period for the internet-based cognitive behavioral therapy group. Depression significantly improved posttreatment (P=.003) and at the 3-month follow-up (P=.03), but not at the 12-month follow-up (P=.35). Participants with depressive symptoms at baseline seemed to have increased effect of the intervention on cardiac anxiety (d=0.55) and health-related quality of life (d=0.71) at the 12-month follow-up. In the internet-based cognitive behavioral therapy group, 84% of the participants (68/81) completed at least 5 of the 6 sessions.ConclusionsThis study provides evidence that internet-based cognitive behavioral therapy with minimal therapist contact and a focus on physical activity is effective in reducing cardiac anxiety and increasing health related quality of life in patients with noncardiac chest pain.Trial RegistrationClinicalTrials.gov NCT03096925; http://clinicaltrials.gov/ct2/show/NCT03096925

BackgroundDepression and anxiety can significantly impact workplace productivity, for instance, by increasing absenteeism and presenteeism. This loss of productivity leads to diminished workplace economic outcomes. Internet-based cognitive behavioral therapy (iCBT) has emerged as a cost-effective intervention within workplace settings that improves workplace productivity loss due to depression and anxiety, but more generalizable evidence beyond the workplace, such as in a national health service setting, is lacking.ObjectiveThis naturalistic, repeated-measures, retrospective study investigated the impact of iCBT on work productivity metrics using nationally representative data from patients enrolled in the Irish national health service (ie, the Health Service Executive).MethodsWe analyzed repeated measures retrospective data from 7125 employed patients enrolled in iCBT at the Health Service Executive between March 2023 and May 2024. The Work Productivity and Activity Impairment questionnaire was used to measure absenteeism, presenteeism, overall productivity loss, and activity impairment. Secondary outcomes included depression (Patient Health Questionnaire-9) and anxiety (Generalized Anxiety Disorder-7). Patients were primarily 25 to 64 years old (n=5578, 78%), female (n=4956, 70%), and met clinical scoring criteria on the Patient Health Questionnaire-9 or Generalized Anxiety Disorder-7 (n=4774, 67%). Missing data were handled using multiple imputation. We used mixed-effects models to assess pre-post treatment changes in outcomes and then utilized Irish national salary estimates from 2022 to derive cost savings (in 2022 € values; €1=approximately US $1.05) based on productivity improvement during use of the iCBT program.ResultsFrom baseline to follow-up, absenteeism reduced by 6.85% (P<.001, 95% CI 5.79%‐7.91%, Cohen d=0.21), presenteeism reduced by 5.84% (P<.001, 95% CI 4.59%‐7.09%, Cohen d=0.18), productivity loss reduced by 9.48% (P<.001, 95% CI 8.30%‐10.66%, Cohen d=0.27), and activity impairment reduced by 8.34% (P<.001, 95% CI 7.07%‐9.61%, Cohen d=0.30). Depression symptom scores reduced by 2.70 points (P<.001, 95% CI 2.50‐2.90, Cohen d=0.51) and anxiety symptom scores reduced by 2.71 points (P<.001, 95% CI 2.51‐2.91, Cohen d=0.52) scores posttreatment. Larger reductions in depression and anxiety symptoms were linked to greater improvements in workplace functioning outcomes (r=0.06-0.34, all P<.001). Patients with higher baseline clinical severity experienced approximately 6% greater improvements in workplace productivity than subclinical patients (P<.001). These improvements in work productivity from baseline to follow-up corresponded to more than €4000 annual savings per patient treated, which equated to an estimated annual savings of €29 million in the sample (in 2022 € values). The average currency exchange rate in 2022 would be €1 to approximately US $1.05.ConclusionsBuilding on work that primarily focused on work productivity improvements from iCBT in occupational contexts, this study provides evidence that iCBT for the general adult population in a national routine health care setting is associated with improvements in both Common mental disorders (CMD) and workplace productivity losses associated with CMD. These productivity improvements were further associated with sizable cost savings. These findings suggest that integrating iCBT into national mental health infrastructure can be a feasible, scalable solution, which could generate clinical and economic benefits at a population level.

Background: Internet-based Cognitive Behavioral Therapy (CBT) is effective in the management of several medical conditions such as anxiety and depression. The CBT method addresses the interaction between people’s thoughts, feelings, and behavior, and has also been shown to be an effective strategy for patients with dementia and comorbid anxiety. However, no study has evaluated an internet-based group CBT for prevention of dementia in high risk patient groups such as African American people. African American people have twice the risk of developing dementia compared to white people. Therefore, more targeted and easy-to-access interventions are urgently needed in this group.

Subthreshold depression is a highly prevalent condition and a risk factor for developing a major depressive episode. Internet-based cognitive behaviour therapy may be a promising approach for the treatment of subthreshold depression. The current study had two aims: (1) to determine whether an internet-based cognitive behaviour therapy intervention and a group cognitive behaviour therapy intervention are more effective than a waiting-list control group; and (2) to determine whether the effect of the internet-based cognitive behaviour therapy differs from the group cognitive behaviour therapy intervention. A total of 191 women and 110 men with subthreshold depression were randomized into internet-based treatment, group cognitive behaviour therapy (Lewinsohn's Coping With Depression course), or a waiting-list control condition. The main outcome measure was treatment response after 10 weeks, defined as the difference in pre- and post-treatment scores on the Beck Depression Inventory (BDI). Missing data, a major limitation of this study, were imputed using the Multiple Imputation (MI) procedure Data Augmentation. In the waiting-list control group, we found a pre- to post-improvement effect size of 0.45, which was 0.65 in the group cognitive behaviour therapy condition and 1.00 within the internet-based treatment condition. Helmert contrasts showed a significant difference between the waiting-list condition and the two treatment conditions (p=0.04) and no significant difference between both treatment conditions (p=0.62). An internet-based intervention may be at least as effective as a commonly used group cognitive behaviour therapy intervention for subthreshold depression in people over 50 years of age.

The last three decades have witnessed significant advances in psychotherapy. Numerous scholarly articles and books have been devoted to pertinent topics in the field, making it difficult for the practicing clinician to keep up with this rapidly growing area. The purpose of this article is to provide some guidelines on how to evaluate the empirical literature in psychotherapy and then to explore three key areas: evidence-based psychotherapies for patients with psychiatric disorders, individual variables that predict differential outcome to treatment, and the therapeutic alliance. Finally, two case examples will be presented to illustrate how knowledge of the empirical literature can facilitate an evidence-based approach to the daily practice of psychotherapy in general psychiatry.

Cost-effectiveness of Internet-based cognitive behavior therapy vs. cognitive behavioral group therapy for social anxiety disorder: Results from a randomized controlled trial

BackgroundFace-to-face individual cognitive behavioral therapy (CBT) and internet-based CBT (ICBT) without videoconferencing are known to have long-term effectiveness for obsessive-compulsive disorder (OCD), panic disorder (PD), and social anxiety disorder (SAD). However, videoconference-delivered CBT (VCBT) has not been investigated regarding its long-term effectiveness and cost-effectiveness.ObjectiveThe purpose of this study was to investigate the long-term effectiveness and cost-effectiveness of VCBT for patients with OCD, PD, or SAD in Japan via a 1-year follow-up to our previous 16-week single-arm study.MethodsWritten informed consent was obtained from 25 of 29 eligible patients with OCD, PD, and SAD who had completed VCBT in our clinical trial. Participants were assessed at baseline, end of treatment, and at the follow-up end points of 3, 6, and 12 months. Outcomes were the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS), Panic Disorder Severity Scale (PDSS), Liebowitz Social Anxiety Scale (LSAS), Patient Health Questionnaire–9 (PHQ-9), General Anxiety Disorder–7 (GAD-7), and EuroQol-5D-5L (EQ-5D-5L). To analyze long-term effectiveness, we used mixed-model analysis of variance. To analyze cost-effectiveness, we employed relevant public data and derived data on VCBT implementation costs from Japanese national health insurance data.ResultsFour males and 21 females with an average age of 35.1 (SD 8.6) years participated in the 1-year follow-up study. Principal diagnoses were OCD (n=10), PD (n=7), and SAD (n=8). The change at 12 months on the Y-BOCS was −4.1 (F1=4.45, P=.04), the change in PDSS was −4.4 (F1=6.83, P=.001), and the change in LSAS was −30.9 (F1=6.73, P=.01). The change in the PHQ-9 at 12 months was −2.7 (F1=7.72, P=.007), and the change in the GAD-7 was −3.0 (F1=7.09, P=.009). QALY at 12 months was 0.7469 (SE 0.0353, 95% Cl 0.6728-0.821), and the change was a significant increase of 0.0379 (P=.01). Total costs to provide the VCBT were ¥60,800 to ¥81,960 per patient. The set threshold was ¥189,500 ($1723, €1579, and £1354) calculated based on willingness to pay in Japan.ConclusionsVCBT was a cost-effective way to effectively treat Japanese patients with OCD, PD, or SAD.Trial RegistrationUniversity Hospital Medical Information Network Clinical Trials Registry UMIN000026609; https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000030495

BackgroundProfessionals need adequate tools to help patients with diabetes and depression. Although web programs integrating cognitive-behavioral therapy with diabetes education have shown good results, no similar approach has been performed as yet in Spain. The objective is to develop an Internet-based program for the treatment of mild-moderate depressive symptomatology in individuals with type 1 diabetes (WEB_TDDI1 study) based on Cognitive-behavioral therapy (CBT) and assess its results.MethodsA 2-arm randomized controlled trial will be conducted. Adults with type 1 diabetes and mild-moderate depressive symptoms will be screened to participate in the study and randomly assigned to either the treatment group (TG) that will use a Web-based application for a specific 9-week intervention in depression and type 1 diabetes or the control group (CG) that will be on the waiting list during that time.ResultsData on the primary variable (depressive symptoms) and secondary variables (treatment-related distress, anxiety, fear of hypoglycemia, quality of life, treatment adherence, coping strategies and glycemic control) will be collected from the TG at the beginning/baseline, at the end of treatment and at 3, 6 and 12 months after treatment. The CG will be assessed at the beginning and at the end of the TG intervention. On completion of the program by the TG, the treatment will then be carried out in the CG.ConclusionsThe new web application developed is expected to be effective for the treatment of mild-moderate depressive symptoms in adults with type 1 diabetes, reducing depressive symptoms and improving the rest of the analyzed variables.Trial registrationRegistry: NCT03473704 (March 21, 2018); ClinicalTrials.gov.

Anxiety vulnerability and dysfunction are characterized by an attentional bias to threat. Cognitive training procedures designed to modify selective attentional responding to threat originally were developed to test the hypothesis that this attentional bias causally contributes to anxious disposition. The capacity of attentional bias modification (ABM) training to alleviate dysfunctional anxiety has since attracted growing interest, and the present article reviews studies that have evaluated this therapeutic potential. When intended ABM training has successfully reduced attention to threat, it also has reduced anxiety vulnerability and symptomatology with a high degree of reliability. When the delivery of intended ABM training has not resulted in such anxiety reduction, this typically has reflected the failure to successfully modify attentional selectivity as required. We discuss ways in which ABM training procedures may be refined to optimize their capacity to reduce attentional bias to threat, to improve delivery of the resulting anxiolytic benefits.

Objective: Patients with somatic conditions, such as psoriasis, frequently suffer from high burden of their disease in daily life and might benefit from internet-based cognitive behavioral therapy (ICBT) tailored to their adjustment problems. The aim of this multicenter randomized controlled trial was to examine the effects of therapist-guided, individually tailored ICBT in a clinical sample of patients with psoriasis. Methods: A total of 131 patients with psoriasis, who were screened for a psychological risk profile, were randomized to either care as usual (CAU, n = 66) or ICBT in addition to CAU (n = 65). Participants filled out standardized self-report questionnaires assessing physical and psychological functioning and impact on daily activities at baseline, posttreatment assessment, and 6-month follow-up. Results: In covariate-controlled linear mixed-model analyses, significantly larger improvements in ICBT compared to CAU were found in the primary outcomes physical functioning (p = 0.03, d = 0.36) and impact on daily activities (p = 0.04, d = 0.35), but not in psychological functioning (p = 0.32), up to 6 months after treatment compared to baseline. In explorative analyses, the working alliance measured at the beginning of ICBT treatment predicted improved physical (p = 0.02) and psychological (p < 0.001) outcomes. Conclusions: Results underline the promise of therapist-guided, individually tailored ICBT to improve physical functioning and reduce the impact of psoriasis on daily activities in patients with a psychological risk profile. Establishing a good therapeutic relationship early on may be an important factor that influences treatment outcomes in personalized ICBT interventions. Further research is needed to evaluate ICBT effectiveness in additional samples and to explore its underlying mechanisms.

Internet-based cognitive behavioral therapy (ICBT) is the provision of cognitive behavioral therapy (CBT) using the Internet as a platform for delivery. The advantage of ICBT is its ability to overcome barriers to treatment associated with traditional face-to-face CBT, such as poor access, remote locations, stigmas around help-seeking, the wish to handle the problem alone, the preference for anonymity, and costs (time and financial). A large number of randomized controlled trials (RCTs) have tested the acceptability, efficacy, and cost-effectiveness of ICBT for anxiety disorders, mood disorders, and associated suicidality. A meta-review was conducted by searching PsycINFO and PubMed for previous systematic reviews and meta-analyses of ICBT programs for anxiety, depression, and suicidality in children, adolescents, and adults. The results of the meta-review indicated that ICBT is effective in the treatment and prevention of mental health problems in adults and the treatment of these problems in youth. Issues of adherence and privacy have been raised. However, the major challenge for ICBT is implementation and uptake in the “real world.” The challenge is to find the best methods to embed, deliver, and implement ICBT routinely in complex health and education environments.

Attentional bias modification (ABM) may lead to more adaptive emotion perception and emotion regulation. Understanding the neural basis of these effects may lead to greater precision for the development of future treatments. Task-related functional MRI (fMRI) after ABM training has not been investigated in depression so far. The main aim of this randomized controlled trial was to explore differences in brain activity after ABM training, in response to emotional stimuli. A total of 134 people with previous depression, who had been treated for depression and had various degrees of residual symptoms, were randomized to 14 days of active ABM or a closely matched placebo training, followed by an fMRI emotion regulation task. The training procedure was a classical dot–probe task with emotional face stimuli. In the active ABM condition, the probes replaced the more positively valenced face of a given pair. As participants implicitly learned to predict the probe location, this would be likely to induce a more positive attentional bias. The placebo condition was identical, except for the contingency of the probe, which appeared equally behind positive and negative stimuli. We compared depression symptoms and subjective ratings of perceived negativity during fMRI between the training groups. We explored brain activation in predefined regions of interest and across the whole brain. We explored activation in areas associated with changes in attentional bias and degree of depression. Compared with the placebo group, the ABM group showed reduced activation in the amygdala and the anterior cingulate cortex when passively viewing negative images. We found no group differences in predefined regions of interest associated with emotion regulation strategies. Response in the temporal cortices was associated with the degree of change in attentional bias and the degree of depressive symptoms in ABM versus placebo. These findings should be replicated in other samples of patients with depression, and in studies using fMRI designs that allow analyses of within-group variability from baseline to follow-up. Attentional bias modification training has an effect on brain function in the circuitry associated with emotional appraisal and the generation of affective states. NCT02931487