The effectiveness of internet cognitive behaviour therapy (iCBT) for social anxiety disorder across two routine practice pathways

Mediation of social anxiety and depression during internet-delivered treatment for social anxiety disorder

Many individuals with social anxiety disorder (SAD) have depressive symptoms that meet criteria for major depressive disorder (MDD). In our study, we examined the temporal relationship between symptoms of social anxiety and symptoms of depression during the course of an 11-week internet-delivered cognitive behavioral treatment (ICBT) for SAD (n = 170). Specifically, we investigated whether weekly changes in social anxiety mediated changes in depression, changes in depression mediated changes in anxiety, both or neither. In addition, we compared individuals with SAD and MDD (n = 50) and individuals with SAD and no MDD (n = 120) to examine the role of MDD as a moderator of the social anxiety-depression relationship. Lower-level mediational modeling revealed that changes in social anxiety symptoms mediated changes in depression symptoms to a greater extent than vice versa. In addition, mediation among individuals with SAD and MDD was significantly greater compared to individuals with SAD and no MDD. Our findings suggest that ICBT is effective in treating individuals with SAD regardless of comorbid depression, and that focusing ICBT interventions on social anxiety can lead to significant reductions in depression among individuals with SAD.

The Efficacy of Web-Based Cognitive Behavioral Therapy With a Shame-Specific Intervention for Social Anxiety Disorder: Randomized Controlled Trial

Background

Social anxiety disorder (SAD) is one of the most prevalent psychological disorders and generally co-occurs with elevated shame levels. Previous shame-specific interventions could significantly improve outcomes in social anxiety treatments. Recent review suggests that integrating a more direct shame intervention could potentially increase the effectiveness of cognitive behavioral therapy. Web-based cognitive behavioral therapy (WCBT) has proven efficacy, sustaining benefits for 6 months to 4 years. Previous evidence indicated that shame predicted the reduction of social anxiety and mediated between engagements in exposure and changes in social anxiety during WCBT.

Objective

This study aimed to design a shame intervention component through a longitudinal study and conduct a randomized controlled trial to investigate the effectiveness of a shame intervention component in reducing social anxiety symptoms and shame experience in a clinical sample of people with SAD.

Methods

The development of a shame intervention component was informed by cognitive behavioral principles and insights from longitudinal data that measured the Experience of Shame Scale (ESS), the Coping Styles Questionnaire, and the Social Interaction Anxiety Scale (SIAS) in 153 participants. The psychoeducation, cognitive construct, and exposure sections were tailored to focus more on shame-related problem-solving and self-blame. A total of 1220 participants were recruited to complete questionnaires, including the ESS, the SIAS, the Social Phobia Scale (SPS), and diagnostic interviews. Following a 2-round screening process, 201 participants with SAD were randomly assigned into a shame WCBT group, a normal WCBT group, and a waiting group. After the 8-week WCBT intervention, the participants were asked to complete posttest evaluations, including the ESS, SIAS and SPS.

Results

Participants in the shame WCBT group experienced significant reductions in shame levels after the intervention (ESS: P<.001; ηp2=0.22), and the reduction was greater in the shame intervention group compared to normal WCBT (P<.001; mean deviation -12.50). Participants in both the shame WCBT and normal WCBT groups experienced significant reductions in social anxiety symptoms (SIAS: P<.001; ηp2=0.32; SPS: P<.001; ηp2=0.19) compared to the waiting group after intervention. Furthermore, in the experience of social interaction anxiety (SIAS), the shame WCBT group showed a higher reduction compared to the normal WCBT group (P<.001; mean deviation -9.58). Problem-solving (SE 0.049, 95% CI 0.025-0.217) and self-blame (SE 0.082, 95% CI 0.024-0.339) mediated the effect between ESS and SIAS.

Conclusions

This is the first study to design and incorporate a shame intervention component in WCBT and to validate its efficacy via a randomized controlled trial. The shame WCBT group showed a significant reduction in both shame and social anxiety after treatment compared to the normal WCBT and waiting groups. Problem-solving and self-blame mediated the effect of shame on social anxiety. In conclusion, this study supports previous findings that a direct shame-specific intervention component could enhance the efficacy of WCBT.

Internet-Based Versus Face-to-Face Cognitive-Behavioral Therapy for Social Anxiety Disorder: A Randomized Control Trial

During the COVID-19 epidemic, face-to-face mental health services faced obstacles. Using Internet-based interventions was a good solution and had the potential to overcome these treatment barriers. However, there is no strong research evidence about the effectiveness of these methods for social anxiety disorder in different cultures and developing countries. Therefore, the present study aimed to investigate the effectiveness and application of Internet-based cognitive-behavioral therapy for social anxiety disorder in Iran. The current study was a pretest-posttest follow-up experimental design. Fifty-four adolescents with social anxiety disorder were selected from Lorestan province (Iran) by cluster sampling method and randomly assigned to three groups: face-to-face, internet-based, and wait-list control. At the beginning and end of the study and 3-month follow-up, three groups were interviewed and answered questionnaires related to the primary and secondary symptoms of social anxiety disorder. Two experimental groups were treated with the same therapeutic intervention during 10 weekly sessions. ANCOVA analysis showed that both forms of intervention effectively reduced social phobia, fear of negative evaluation and social interaction anxiety and increased emotion regulation. Also, a significant decrease in secondary outcomes, including physical symptoms, insomnia, social dysfunction, and depression symptoms, was observed in both groups. The treatment effects were stable during a 3-month follow-up. Our findings showed that although Internet-based cognitive-behavioral therapy for adolescents with social anxiety disorder can be effective, several clinical, cultural, and implementation weaknesses should be considered.

Can Emotional Working Memory Training Improve Cognitive Behavioral Therapy Outcomes for Social Anxiety Disorder: A Pilot Study

Social anxiety disorder (SAD) models highlight maladaptive attention as a maintaining factor of SAD, potentially negatively impacting how individuals with SAD engage with cognitive behavioral therapy (CBT) content in a therapist's presence. Emotional working memory training (eWMT) has been shown to improve affective attentional control. This pilot study assessed the proposed methodology for a randomized controlled trial (RCT) to determine whether eWMT, by improving attentional control prior to internet-based CBT (iCBT), results in better CBT outcomes. The RCT would be considered feasible if the pilot study achieved rates ≥80% for eligible participants recruited, study measures completion, intervention completion, and participant retention. Results from 10 randomized participants showed rates ≥80% for recruitment of eligible participants and iCBT intervention completion. Completion of study measures, eWMT and Placebo training interventions, and participant retention were <80%. Results highlight the need to consider strategies to improve the methodology prior to the RCT.

The Overall Anxiety Severity and Impairment Scale as an Outcome Measure in Internet-Delivered Cognitive Behavioral Therapy for Anxiety Disorders: Observational Study

BACKGROUND

Internet-delivered cognitive behavioral therapy (iCBT) is effective in the treatment of anxiety disorders. iCBT clinical trials use relatively long and time-consuming disorder-specific rather than transdiagnostic anxiety measurements. Overall Anxiety Severity and Impairment Scale (OASIS) is a brief self-report scale that could offer a universal, easy-to-use anxiety measurement option in disorder-specific and transdiagnostic iCBT programs.

OBJECTIVE

We aimed to investigate relationships between OASIS and disorder-specific instruments in iCBT. We expected these relationships to be positive.

METHODS

We investigated patients in original nationwide iCBT programs for generalized anxiety disorder (GAD), obsessive-compulsive disorder, panic disorder, and social anxiety disorder, which were administered by Helsinki University Hospital, Finland. In each program, anxiety symptoms were measured using both disorder-specific scales (the 7-item Generalized Anxiety Disorder scale, Penn State Worry Questionnaire, revised Obsessive-Compulsive Inventory, Panic Disorder Severity Scale, and Social Phobia Inventory) and by OASIS. A general linear model for repeated measures (mixed models) and interaction analysis were used for investigating the changes and relationships in the mean scores of OASIS and disorder-specific scales from the first session to the last one.

RESULTS

The main effect of linear mixed models indicated a distinct positive association between OASIS and disorder-specific scale scores. Interaction analysis demonstrated relatively stable associations between OASIS and the revised Obsessive-Compulsive Inventory (F822.9=0.09; 95% CI 0.090-0.277; P=.32), and OASIS and the Panic Disorder Severity Scale (F596.6=-0.02; 95% CI -0.108 to -0.065; P=.63) from first the session to the last one, while the 7-item Generalized Anxiety Disorder scale (F4345.8=-0.06; 95% CI -0.109 to -0.017; P=.007), Penn State Worry Questionnaire (F4270.8=-0.52; 95% CI -0.620 to -0.437; P<.001), and Social Phobia Inventory (F862.1=-0.39; 95% CI -0.596 to -0.187; P<.001) interrelated with OASIS more strongly at the last session than at the first one.

CONCLUSIONS

OASIS demonstrates clear and relatively stable associations with disorder-specific symptom measures. Thus, OASIS might serve as an outcome measurement instrument for disorder-specific and plausibly transdiagnostic iCBT programs for anxiety disorders in regular clinical practice.

Predicting non-initiation of care and dropout in a blended care CBT intervention: Impact of early digital engagement, sociodemographic, and clinical factors

Objective

This study examines predictors of non-initiation of care and dropout in a blended care CBT intervention, with a focus on early digital engagement and sociodemographic and clinical factors.

Methods

This retrospective cohort analysis included 3566 US-based individuals who presented with clinical levels of anxiety and depression and enrolled in a blended-care CBT (BC-CBT) program. The treatment program consisted of face-to-face therapy sessions via videoconference and provider-assigned digital activities that were personalized to the client's presentation. Multinomial logistic regression and Cox proportional hazard survival analysis were used to identify predictors of an increased likelihood of non-initiation of therapy and dropout.

Results

Individuals were more likely to cancel and/or no-show to their first therapy session if they were female, did not disclose their ethnicity, reported poor financial status, did not have a college degree, endorsed more presenting issues during the onboarding triage assessment, reported taking antidepressants, and had a longer wait time to their first appointment. Of those who started care, clients were significantly more likely to drop out if they did not complete the digital activities assigned by their provider early in treatment, were female, reported more severe depressive symptoms at baseline, reported taking antidepressants, and did not disclose their ethnicity.

Conclusions

Various sociodemographic and clinical predictors emerged for both non-initiation of care and for dropout, suggesting that clients with these characteristics may benefit from additional attention and support (especially those with poor early digital engagement). Future research areas include targeted mitigation efforts to improve initiation rates and curb dropout.

Influence of perceived importance of the internet on life satisfaction and health of the older people: An analysis based on intermediary and moderating effects

With the global growth of the aging population, healthy aging and active aging has become an important goal for the future social development of all countries. The purpose of this study is to explore the potential relationships between the older people's perceived importance of the Internet, family atmosphere, behavioral independence, life satisfaction, and health. The data come from the China Family Panel Studies' fourth wave (2015-2016) and fifth wave (2017-2018) investigations. According to an analysis of data of 5,948 people over 60 years old performed using LISREL 8.8 software, the selected cases answered the same questions about the perceived importance of the Internet, life satisfaction, and health status in two waves of surveys. The results show that life satisfaction and self-rated health have cross influences, while at the same time both are persistent in the time baseline, and family atmosphere and behavioral independence play an important intermediary role. Therefore, strengthening parent-child interaction, promoting parent-child relationships, and improving behavioral independence can effectively improve the life satisfaction and health status of the older people.

Examining the Impact of Digital Components Across Different Phases of Treatment in a Blended Care Cognitive Behavioral Therapy Intervention for Depression and Anxiety: Pragmatic Retrospective Study

Background

Depression and anxiety incur significant personal and societal costs. Effective psychotherapies exist, such as cognitive behavioral therapy (CBT); however, timely access to quality care is limited by myriad barriers. Blended care therapy models incorporate traditional face-to-face therapy with scalable, digital components of care, expanding the reach of evidence-based care.

Objective

The aim of this study is to determine the effectiveness of a blended care CBT program (BC-CBT) in real-world settings and examine the unique impacts of the (1) digital components of care (video lessons and digital exercises) and (2) phase of treatment (early versus late) in decreasing symptoms of anxiety and depression.

Methods

This retrospective cohort analysis included 3401 US-based individuals enrolled in a BC-CBT program, who presented with clinical levels of depression and/or anxiety. The treatment program consisted of regular therapy sessions augmented by clinician-assigned digital video lessons and exercises. A growth curve model incorporating time-varying covariates examined the relationship between engagement with BCT components (ie, therapy sessions, digital video lessons, and digital exercises) during the early (weeks 0-7) and late (weeks 8-15) phases of treatment, and weekly symptom reports on depression and anxiety measures.

Results

On average, a significant decline in depression and anxiety symptoms was observed during the initial weeks of treatment (P<.001), with a continued, though slower, decline over subsequent weeks (P<.001). Each session completed was associated with significant decreases in anxiety (b=–0.72) and depression (b=–0.83) in the early phase, as well as in the late phase (anxiety, b=–0.47; depression, b=–0.27). Significant decreases in anxiety (b=–0.15) and depression (b=–0.12) were observed for time spent on video lessons (measured in 10-minute intervals) in the early phase of treatment. Engaging with exercises was associated with statistically significant increases in anxiety symptoms (b=0.03) during the early phase of treatment. However, sensitivity analyses examining the effects of exercises in isolation revealed significant decreases in anxiety (b=–0.05) in the early phase, suggesting a potential suppression effect in the larger model.

Conclusions

Using a retrospective cohort design, therapy sessions and digital video lessons were uniquely predictive of improvements in depression and anxiety symptoms, and their effects were modulated based on the phase of treatment (early vs late). Future research should investigate whether other treatment variables, such as therapeutic alliance or familiarity with technology, are related to differential effects on various components of care.

A pilot study of intensive 7-day internet-based cognitive behavioral therapy for social anxiety disorder

Accessible, affordable cognitive behavioral therapy (CBT) options for Social Anxiety Disorder (SAD) that allow for rapid symptom improvement are needed. The present study investigated the first intensive, 7-day internet-based CBT for SAD. An open pilot trial was conducted to test the acceptability, feasibility and preliminary outcomes of the program in a sample of 16 participants (9 females, M age = 40.34, SD = 10.55) with a DSM-5 diagnosis of SAD. Participants were enrolled into the 6-lesson online program, and completed the Social Phobia Scale [SPS], Social Interaction Anxiety Scale [SIAS], Patient Health Questionnaire-9 (PHQ-9), and Work and Social Adjustment Scale (WSAS) at baseline, post and one month follow-up. We found support for the feasibility and acceptability of the program; 15 participants (93.8%) completed the program, and all participants reported the program was satisfactory. Large, significant reductions in social anxiety severity on both the SPS and SIAS (Hedges' g_s = 1.26-1.9) and functional impairment (WSAS; g_s = 0.88-0.98) were found at post-treatment and follow-up. Medium, significant reductions in depressive symptom severity were also found (g_s = 0.88-0.98 at post and follow-up, respectively). A third of participants scored below the clinical cut-off on both the SPS and SIAS at post-treatment and follow-up. A randomized controlled trial with longer follow-up is needed to evaluate the efficacy of this intensive internet-based treatment for SAD. Implications and future research directions are discussed.

The uptake and outcomes of Internet-based cognitive behavioural therapy for health anxiety symptoms during the COVID-19 pandemic

BACKGROUND

Internet cognitive behavioural therapy (iCBT) for health anxiety has demonstrated efficacy but has not been evaluated during the COVID-19 pandemic. This study presents the first evaluation of the uptake and outcomes of iCBT for health anxiety during the COVID-19 pandemic.

METHODS

THIS WAY UP is an Australian digital mental health service which delivers iCBT interventions to community members. We compared the uptake of THIS WAY UP's iCBT course for health anxiety in an Australian adult sample who started the course before the pandemic (12th September 2019-11 th March 2020) to during the pandemic (12th March to 11th June 2020). The course was accessible to Australian adults over 18 years old, with no inclusion criteria. Outcomes included course registrations and commencements, lesson and course completion, and self-reported health anxiety (Short Health Anxiety Inventory), depression (Patient Health Questionnaire 9-item) and distress (Kessler-10).

RESULTS

From March to June 2020, we observed significant increases in course registrations (N = 238 vs N = 1057); and course commencements (N = 126 vs. N = 778). Large, significant improvements in health anxiety (g = 0.89), and distress (K10: g = 0.91), and medium improvements in depression (g = 0.55) were found. Course completion during COVID was 30.5%.

CONCLUSIONS

iCBT improved health anxiety during the COVID-19 pandemic, and provides scalable intervention that can address increased demands for mental health services in the community.

Outcomes of a Blended Care Coaching Program for Clients Presenting With Moderate Levels of Anxiety and Depression: Pragmatic Retrospective Study

BACKGROUND

Depression and anxiety are leading causes of disability worldwide, but access to quality mental health care is limited by myriad factors. Cognitive-behavioral coaching is rooted in evidence-based principles and has the potential to address some of these unmet care needs. Harnessing technology to facilitate broader dissemination within a blended care model shows additional promise for overcoming barriers to care.

OBJECTIVE

The aim of this study is to evaluate the outcomes of a blended care coaching (BCC) program for clients presenting with moderate levels of anxiety and depression in real-world settings.

METHODS

This study examined retrospective data from US-based individuals (N=1496) who presented with moderate levels of depression and anxiety symptoms and who received blended care coaching services. Using a short-term framework, clients met with coaches via a secure video conference platform and also received digital video lessons and exercises. To evaluate the effectiveness of the BCC program, mixed effects modeling was used to examine growth trajectories of anxiety and depression scores over the course of care.

RESULTS

Out of the total sample of 1496 clients, 75.9% (n=1136) demonstrated reliable improvement, and 88.6% (n=1326) recovered based on either the Generalized Anxiety Disorder-7 scale (anxiety) or Patient Health Questionnaire-9 (depression). On average, clients exhibited a significant decline in anxiety and depression symptoms during the initial weeks of coaching, with a continued decline over subsequent weeks at a lower rate. Engaging in a coaching session was associated with lower anxiety (b=-1.04) and depression (b=-0.79) symptoms in the same week, as well as lower anxiety (b=-0.74) and depression (b=-0.91) symptoms the following week (P<.001).

CONCLUSIONS

The BCC program demonstrated strong outcomes in decreasing symptomology for clients presenting with moderate levels of anxiety and depression. When clients received coaching sessions, significant decreases in symptoms were observed, reflecting the importance of session attendance. Additionally, the steepest declines in symptoms tended to occur during the initial weeks of coaching, emphasizing the importance of client buy-in and early engagement. Collectively, these findings have implications for addressing unmet mental health care needs in a more accessible, cost-effective manner.

Blended Care-Cognitive Behavioral Therapy for Depression and Anxiety in Real-World Settings: Pragmatic Retrospective Study

Background

The past few decades saw considerable advances in research and dissemination of evidence-based psychotherapies, yet available treatment resources are not able to meet the high need for care for individuals suffering from depression or anxiety. Blended care psychotherapy, which combines the strengths of therapist-led and internet interventions, can narrow this gap and be clinically effective and efficient, but has rarely been evaluated outside of controlled research settings.

Objective

This study evaluated the effectiveness of a blended care intervention (video-based cognitive behavior therapy and internet intervention) under real-world conditions.

Methods

This is a pragmatic retrospective cohort analysis of 385 participants with clinical range depression and/or anxiety symptoms at baseline, measured using Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7), who enrolled in blended care psychotherapy treatment. Participants resided in the United States and had access to the blended care intervention as a mental health benefit offered through their employers. Levels of depression and anxiety were tracked throughout treatment. Hierarchical linear modeling was used to examine the change in symptoms over time. The effects of age, gender, and providers on participants’ symptom change trajectories were also evaluated. Paired sample t-tests were also conducted, and rates of positive clinical change and clinically significant improvement were calculated.

Results

The average depression and anxiety symptoms at 6 weeks after the start of treatment were 5.94 and 6.57, respectively. There were significant linear effects of time on both symptoms of depression and anxiety (β=–.49, P<.001 and β=–.64, P<.001). The quadratic effect was also significant for both symptoms of depression and anxiety (β=.04, P<.001 for both), suggesting a decelerated decrease in symptoms over time. Approximately 73% (n=283) of all 385 participants demonstrated reliable improvement, and 83% (n=319) recovered on either the PHQ-9 or GAD-7 measures. Large effect sizes were observed on both symptoms of depression (Cohen d=1.08) and of anxiety (d=1.33).

Conclusions

Video blended care cognitive behavioral therapy interventions can be effective and efficient in treating symptoms of depression and anxiety in real-world conditions. Future research should investigate the differential and interactive contribution of the therapist-led and digital components of care to patient outcomes to optimize care.

Effectiveness of an app-based cognitive behavioral therapy program for postpartum depression in primary care: A randomized controlled trial

OBJECTIVE

The objective of this study was to examine the effect of mobile phone applications (App) based cognitive behavioral therapy (CBT) on postpartum depression.

METHOD

A non-blinded parallel-group randomized controlled trial was conducted. The study population consisted of women attended to three health care centers in Kerman, Iran. Participants were recruited between September and November 2018, and randomized 1:1 to either the intervention group (mobile application access) or control group (no mobile application access). All participants completed the Edinburgh Postnatal Depression Scale (EPDS) at the baseline and 2 months after baseline. Data were analyzed using inferential statistics including chi-square, independent sample t-test, paired t-test and linear regression.

RESULTS

A total of 75 women with an average age of 27 years participated in this study. Before the intervention, there was no statistically significant difference between the EPDS score between the two groups (p > 0.001). However, in the intervention group, the average EPDS score after intervention was 8.18 and in the control group was 15.05, which was statistically significant (p < 0.001).

CONCLUSION

These findings provide proof that providing a CBT program using a mobile application can lead to clinically important improvements in outcomes for mothers who suffer from postpartum depression.

Predictors of treatment outcomes and adherence in internet-based cognitive behavioral therapy for social anxiety in China

BACKGROUND

Although internet-based cognitive behaviour therapy (ICBT) is an effective treatment for social anxiety disorder (SAD), a substantial proportion of patients do not achieve clinically significant improvement. More research is needed to identify which factors predict treatment adherence and outcomes.

AIMS

The aims of this study were to (1) identify demographic and clinical factors associated with treatment adherence and outcomes in ICBT for social anxiety in China, and (2) explore whether low-intensity therapist support results in improved treatment adherence or outcomes.

METHOD

Participants were assigned to either therapist-guided (N = 183) or self-guided ICBT (N = 72). Level of social anxiety was measured at both pre- and post-treatment. Treatment adherence and outcomes were analysed using a two-step linear and logistic regression approach. Clinical and demographic characteristics were examined.

RESULTS

No significant group differences were found for treatment adherence or outcomes between the therapist-guided and self-guided conditions. Participants diagnosed with SAD were significantly less likely to drop out (OR 0.531, p = .03) compared with subclinical participants with social anxiety symptoms. Older participants (B = 0.17, SE = 0.04, p = .008) and participants with a diagnosis of SAD (B = 0.16, SE = 0.44, p = .01) tended to complete more modules. Participants who completed more modules (B = 0.24, SE = 0.03, p = .01) and participants who identified as female (B = -0.20, SE = 0.18, p = .04) reported greater reductions in SAD symptoms.

CONCLUSIONS

Understanding of factors related to adherence and outcome is necessary to prevent drop-out and optimize outcome.

Computer-Assisted Cognitive-Behavior Therapy and Mobile Apps for Depression and Anxiety

PURPOSE OF REVIEW

We reviewed research on computer-assisted cognitive-behavior therapy (CCBT) and mobile applications with the goals of assessing the effectiveness of these newer methods of delivering or augmenting treatment and making recommendations on the clinical use of computer tools in psychotherapy of depression and anxiety.

RECENT FINDINGS

Research on CCBT has found solid evidence for efficacy when the use of a therapeutic computer program is supported by a clinician or other helping professionals. Lower levels of efficacy or ineffectiveness typically have been found when computer programs are used as stand-alone treatments. A large number of mobile apps have been created that claim to be useful for depression and/or anxiety. However, considerable caution is warranted in evaluating mobile apps and recommending them to patients. Research on mobile apps is still in an early stage of development. A number of well-established CCBT programs have been studied in multiple randomized, controlled trials and have been found to be effective. Such programs appear to have adequate quality, security, and efficacy to be used in clinical practice. Mobile apps offer easy portability and immediate access to coping strategies and may be useful for augmenting treatment. But clinicians need to select apps with integrity and reliable content for clinical use.

Internet-Delivered Cognitive Behavioral Therapy for Anxiety Disorders in Open Community Versus Clinical Service Recruitment: Meta-Analysis

BACKGROUND

Ample studies have shown the effectiveness of internet-delivered cognitive behavioral therapy (iCBT) for anxiety disorders. These studies recruited their participants mainly from the community and, to a lesser extent, from within routine care services. Little is known about whether different recruitment strategies lead to different treatment effects.

OBJECTIVE

This meta-analysis compared clinical results obtained in trials with recruitment from the community versus results obtained in trials with clinical service recruitment and explored factors that may mediate differences in treatment outcome.

METHODS

We included randomized controlled trials in which the clinical effects of iCBT for anxiety disorders were compared with a control condition (waitlist controls or face-to-face cognitive behavioral therapy). We classified trials as open recruitment trials (recruitment from the community) or clinical service recruitment trials (recruitment through outpatient clinics). Pooled effect sizes based on measures examining anxiety symptoms, depressive symptoms, and quality of life were computed for each type of trial. Subgroup analyses examined whether clinical results from open recruitment trials differed from those obtained in clinical service recruitment trials. Additional analyses explored which demographic, clinical, and treatment-related factors contributed to differences in effect sizes of open recruitment versus clinical service recruitment trials.

RESULTS

We included 42 studies with 53 comparisons (43 open recruitment comparisons and 10 clinical recruitment comparisons). Analyses of anxiety measures revealed, first, that iCBT open recruitment studies with waitlist control comparators showed a significantly higher effect size for decrease in anxiety symptoms than did those with clinical recruitment (Q=10.09; P=.001). This association between recruitment method and effect size was no longer significant in a multivariate metaregression with treatment adherence and exclusion of patients with depressive symptoms entered as additional predictors of effect size. Second, effect size for decrease in anxiety symptoms did not differ significantly between clinical recruitment and open recruitment studies with face-to-face cognitive behavioral therapy comparators. The effects of open recruitment trials and clinical recruitment trials did not differ significantly for the secondary outcomes, compared with face-to-face cognitive behavioral therapy and waitlist controls.

CONCLUSIONS

iCBT was effective in samples recruited in clinical practice, but effect sizes were smaller than those found in trials with an open recruitment method for studies with waitlist control comparators. Hence, for patients with anxiety disorders in routine care, the impact of iCBT may not be as positive as for study participants recruited from the community. The difference between open recruitment trials and clinical service recruitment trials might be partly explained by patients' greater therapy adherence in open recruitment trials and the stricter exclusion of patients with severe depressive symptoms in these studies. Since most trials in this meta-analysis applied an open recruitment method, more studies with routine care populations are needed to further validate these findings.

Digital Interventions for Mental Disorders: Key Features, Efficacy, and Potential for Artificial Intelligence Applications

Mental disorders are highly prevalent and often remain untreated. Many limitations of conventional face-to-face psychological interventions could potentially be overcome through Internet-based and mobile-based interventions (IMIs). This chapter introduces core features of IMIs, describes areas of application, presents evidence on the efficacy of IMIs as well as potential effect mechanisms, and delineates how Artificial Intelligence combined with IMIs may improve current practices in the prevention and treatment of mental disorders in adults. Meta-analyses of randomized controlled trials clearly show that therapist-guided IMIs can be highly effective for a broad range of mental health problems. Whether the effects of unguided IMIs are also clinically relevant, particularly under routine care conditions, is less clear. First studies on IMIs for the prevention of mental disorders have shown promising results. Despite limitations and challenges, IMIs are increasingly implemented into routine care worldwide. IMIs are also well suited for applications of Artificial Intelligence and Machine Learning, which provides ample opportunities to improve the identification and treatment of mental disorders. Together with methodological innovations, these approaches may also deepen our understanding of how psychological interventions work, and why. Ethical and professional restraints as well as potential contraindications of IMIs, however, should also be considered. In sum, IMIs have a high potential for improving the prevention and treatment of mental health disorders across various indications, settings, and populations. Therefore, implementing IMIs into routine care as both adjunct and alternative to face-to-face treatment is highly desirable. Technological advancements may further enhance the variability and flexibility of IMIs, and thus even further increase their impact in people's lives in the future.

Review of cognitive behavioural therapy mobile apps using a reference architecture embedded in the patient-provider relationship

Background

Mobile health apps (mHealth apps) are increasing in popularity and utility for the management of many chronic diseases. Although the current reimbursement structure for mHealth apps is lagging behind the rapidly improving functionality, more clinicians will begin to recommend these apps as they prove their clinical worth. Payors such as the government or private insurance companies will start to reimburse for the use of these technologies, especially if they add value to patients by providing timely support, a more streamlined patient experience, and greater patient convenience. Payors are likely to see benefits for providers, as these apps could help increase productivity between in-office encounters without having to resort to expensive in-person visits when patients are having trouble managing their disease.

Key findings

To guide and perhaps speed up adoption of mHealth apps by patients and providers, analysis and evaluation of existing apps needs to be carried out and more feedback must be provided to app developers. In this paper, an evaluation of 35 mHealth apps claiming to provide cognitive behavioural therapy was conducted to assess the quality of the patient-provider relationship and evidence-based practices embedded in these apps. The mean score across the apps was 4.9 out of 20 functional criteria all of which were identified as important to the patient-provider relationship. The median score was 5 out of these 20 functional criteria.

Conclusion

Overall, the apps reviewed were mostly stand-alone apps that do not enhance the patient-provider relationship, improve patient accountability or help providers support patients more effectively between visits. Large improvements in patient experience and provider productivity can be made through enhanced integration of mHealth apps into the healthcare system.

Internet- and Mobile-Based Psychological Interventions: Applications, Efficacy, and Potential for Improving Mental Health

Abstract. The majority of mental health disorders remain untreated. Many limitations of traditional psychological interventions such as limited availability of evidence-based interventions and clinicians could potentially be overcome by providing Internet- and mobile-based psychological interventions (IMIs). This paper is a report of the Taskforce E-Health of the European Federation of Psychologists’ Association and will provide an introduction to the subject, discusses areas of application, and reviews the current evidence regarding the efficacy of IMIs for the prevention and treatment of mental disorders. Meta-analyses based on randomized trials clearly indicate that therapist-guided stand-alone IMIs can result in meaningful benefits for a range of indications including, for example, depression, anxiety, insomnia, or posttraumatic stress disorders. The clinical significance of results of purely self-guided interventions is for many disorders less clear, especially with regard to effects under routine care conditions. Studies on the prevention of mental health disorders (MHD) are promising. Blended concepts, combining traditional face-to-face approaches with Internet- and mobile-based elements might have the potential of increasing the effects of psychological interventions on the one hand or to reduce costs of mental health treatments on the other hand. We also discuss mechanisms of change and the role of the therapist in such approaches, contraindications, potential limitations, and risk involved with IMIs, briefly review the status of the implementation into routine health care across Europe, and discuss confidentiality as well as ethical aspects that need to be taken into account, when implementing IMIs. Internet- and mobile-based psychological interventions have high potential for improving mental health and should be implemented more widely in routine care.

Computer therapy for the anxiety and depression disorders is effective, acceptable and practical health care: An updated meta-analysis

BACKGROUND

A 2010 meta-analysis of internet-delivered CBT (iCBT) RCTs argued 'computer therapy for the anxiety and depressive disorders was effective, acceptable and practical health care' without data on effectiveness or practicality in routine practice.

METHODS

Databases, reviews and meta-analyses were searched for randomised controlled trials of cCBT or iCBT versus a control group (care as usual, waitlist, information control, psychological placebo, pill placebo, etc.) in people who met diagnostic criteria for major depression, panic disorder, social anxiety disorder or generalised anxiety disorder. Number randomised, superiority of treatment versus control (Hedges'g) on primary outcome measure, length of follow-up, follow up outcome, patient adherence and satisfaction/harm were extracted; risk of bias was assessed. A search for studies on effectiveness of iCBT in clinical practice was conducted.

RESULTS

64 trials were identified. The mean effect size (efficacy) was g = 0.80 (NNT 2.34), and benefit was evident across all four disorders. Improvement was maintained at follow-with good acceptability. Research probity was good, and bias risk low. In addition, nine studies comparing iCBT with traditional face-to-face CBT and three comparing iCBT with bibliotherapy were identified. All three modes of treatment delivery appeared equally beneficial. The results of effectiveness studies were congruent with the results of the efficacy trials.

LIMITATIONS

Studies variably measured changes in quality of life and disability, and the lack of comparisons with medications weakens the field.

CONCLUSIONS

The conclusions drawn in the original meta-analysis are now supported: iCBT for the anxiety and depressive disorders is effective, acceptable and practical health care.

Image reprocessing via wearable cameras: effects on memory recall and rumination after a social-stress task

BACKGROUND

Video feedback has been used in the context of social anxiety disorder (SAD) to help modify individuals' perceptions about performance during exposure tasks. A novel way to capture both the observer and field perspective is through the use of wearable cameras. Compared to video feedback, which only provides information from the observer perspective and hence addresses concerns regarding the individual's own performance, field/first-person image capture has the advantage that it can direct attention to external information during social situations. We aimed to develop a paradigm to capture both field and observer perspective images generated during a social stress task, to manipulate the mode of memory re-processing, and to evaluate the impact on state anxiety, memory recall, and negative post-event processing.

METHOD

A total of 46 participants (22 males and 24 females) with a mean age of 24.30 (SD =8.86) performed a 3-minute speech in front of a pre-recorded audience, after which they reviewed images taken during the speech task either from a field or observer perspective, or mentally reviewed the task or were assigned to the control condition. Twenty-four hours after the speech, they completed follow-up measures of memory recall and ruminative post-event processing.

RESULTS

Participants in the field perspective condition recalled more factual memories of the speech task compared to those in the mental review and control conditions. Observer perspective re-processing (akin to video feedback review) was associated with higher post-event processing at 24-hour follow-up relative to control, but only for the negative Self subscale.

CONCLUSIONS

Results indicate that wearable cameras can facilitate recall of corrective information during exposure-based tasks and could be integrated into behavioural experiments for SAD. Ethical consideration and future direction are discussed.

The 12-item Self-Report World Health Organization Disability Assessment Schedule (WHODAS) 2.0 Administered Via the Internet to Individuals With Anxiety and Stress Disorders: A Psychometric Investigation Based on Data From Two Clinical Trials

BACKGROUND

The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) is a widespread measure of disability and functional impairment, which is bundled with the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) for use in psychiatry. Administering psychometric scales via the Internet is an effective way to reach respondents and allow for convenient handling of data.

OBJECTIVE

The aim was to study the psychometric properties of the 12-item self-report WHODAS 2.0 when administered online to individuals with anxiety and stress disorders. The WHODAS 2.0 was hypothesized to exhibit high internal consistency and be unidimensional. We also expected the WHODAS 2.0 to show high 2-week test-retest reliability, convergent validity (correlations approximately .50 to .90 with other self-report measures of functional impairment), that it would differentiate between patients with and without exhaustion disorder, and that it would respond to change in primary symptom domain.

METHODS

We administered the 12-item self-report WHODAS 2.0 online to patients with anxiety and stress disorders (N=160) enrolled in clinical trials of cognitive behavior therapy, and analyzed psychometric properties within a classical test theory framework. Scores were compared with well-established symptom and disability measures, and sensitivity to change was studied from pretreatment to posttreatment assessment.

RESULTS

The 12-item self-report WHODAS 2.0 showed high internal consistency (Cronbach alpha=.83-.92), high 2-week test-retest reliability (intraclass correlation coefficient=.83), adequate construct validity, and was sensitive to change. We found preliminary evidence for a three-factorial structure, but one strong factor accounted for a clear majority of the variance.

CONCLUSIONS

We conclude that the 12-item self-report WHODAS 2.0 is a psychometrically sound instrument when administered online to individuals with anxiety and stress disorders, but that it is probably fruitful to also report the three subfactors to facilitate comparisons between studies.

TRIAL REGISTRATION

Clinicaltrials.gov NCT02540317; https://clinicaltrials.gov/ct2/show/NCT02540317 (Archived by WebCite at http://www.webcitation.org/6vQEdYAem); Clinicaltrials.gov NCT02314065; https://clinicaltrials.gov/ct2/show/NCT02314065 (Archived by WebCite at http://www.webcitation.org/6vQEjlUU8).

Integrating iCBT for generalized anxiety disorder into routine clinical care: Treatment effects across the adult lifespan

The burden attributable to late-life Generalized Anxiety Disorder (GAD) is set to increase alongside the ageing population. Yet, the psychogeriatric workforce is limited in size and few studies have focused on the treatment of GAD among older patients. Internet-delivered cognitive behavioral therapy (iCBT) could be integrated into existing infrastructure and scale the psychogeriatric workforce, if shown to be effective across the adult lifespan. This study examined age-related differences in presentation, adherence and effects of iCBT for GAD among patients in routine clinical care (N=942; 18-29years (n=267); 30-39years (n=260); 40-49years (n=180); 50-59years (n=124); and 60+ years (n=111)). Compared to younger patients, older patients were less likely to present with probable GAD and MDD diagnoses (<60years vs. 60+ years) and more likely to complete treatment (<50years vs. 50+ years). iCBT produced moderate to large effect size reductions in symptom severity, distress and impairment independent of age. iCBT is therefore an effective treatment for GAD across the adult lifespan, which can be delivered in routine clinical care. Continuing to integrate iCBT into existing services has the potential to improve the capacity of the existing workforce to manage those seeking help for GAD particularly as the population ages.

Clinical Practice Models for the Use of E-Mental Health Resources in Primary Health Care by Health Professionals and Peer Workers: A Conceptual Framework

BACKGROUND

Research into e-mental health technologies has developed rapidly in the last 15 years. Applications such as Internet-delivered cognitive behavioral therapy interventions have accumulated considerable evidence of efficacy and some evidence of effectiveness. These programs have achieved similar outcomes to face-to-face therapy, while requiring much less clinician time. There is now burgeoning interest in integrating e-mental health resources with the broader mental health delivery system, particularly in primary care. The Australian government has supported the development and deployment of e-mental health resources, including websites that provide information, peer-to-peer support, automated self-help, and guided interventions. An ambitious national project has been commissioned to promote key resources to clinicians, to provide training in their use, and to evaluate the impact of promotion and training upon clinical practice. Previous initiatives have trained clinicians to use a single e-mental health program or a suite of related programs. In contrast, the current initiative will support community-based service providers to access a diverse array of resources developed and provided by many different groups.

OBJECTIVE

The objective of this paper was to develop a conceptual framework to support the use of e-mental health resources in routine primary health care. In particular, models of clinical practice are required to guide the use of the resources by diverse service providers and to inform professional training, promotional, and evaluation activities.

METHODS

Information about service providers' use of e-mental health resources was synthesized from a nonsystematic overview of published literature and the authors' experience of training primary care service providers.

RESULTS

Five emerging clinical practice models are proposed: (1) promotion; (2) case management; (3) coaching; (4) symptom-focused treatment; and (5) comprehensive therapy. We also consider the service provider skills required for each model and the ways that e-mental health resources might be used by general practice doctors and nurses, pharmacists, psychologists, social workers, occupational therapists, counselors, and peer workers.

CONCLUSIONS

The models proposed in the current paper provide a conceptual framework for policy-makers, researchers and clinicians interested in integrating e-mental health resources into primary care. Research is needed to establish the safety and effectiveness of the models in routine care and the best ways to support their implementation.