Online cognitive behavioral therapy and problem-solving therapy for depressive symptoms: Exploring mechanisms of change

Digital Psychotherapies for Adults Experiencing Depressive Symptoms: Systematic Review and Meta-Analysis

BACKGROUND

Depression affects 5% of adults and it is a major cause of disability worldwide. Digital psychotherapies offer an accessible solution addressing this issue. This systematic review examines a spectrum of digital psychotherapies for depression, considering both their effectiveness and user perspectives.

OBJECTIVE

This review focuses on identifying (1) the most common types of digital psychotherapies, (2) clients' and practitioners' perspectives on helpful and unhelpful aspects, and (3) the effectiveness of digital psychotherapies for adults with depression.

METHODS

A mixed methods protocol was developed using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The search strategy used the Population, Intervention, Comparison, Outcomes, and Study Design (PICOS) framework covering 2010 to 2024 and 7 databases were searched. Overall, 13 authors extracted data, and all aspects of the review were checked by >1 reviewer to minimize biases. Quality appraisal was conducted for all studies. The clients' and therapists' perceptions on helpful and unhelpful factors were identified using qualitative narrative synthesis. Meta-analyses of depression outcomes were conducted using the standardized mean difference (calculated as Hedges g) of the postintervention change between digital psychotherapy and control groups.

RESULTS

Of 3303 initial records, 186 records (5.63%; 160 studies) were included in the review. Quantitative studies (131/160, 81.8%) with a randomized controlled trial design (88/160, 55%) were most common. The overall sample size included 70,720 participants (female: n=51,677, 73.07%; male: n=16,779, 23.73%). Digital interventions included "stand-alone" or non-human contact interventions (58/160, 36.2%), "human contact" interventions (11/160, 6.8%), and "blended" including stand-alone and human contact interventions (91/160, 56.8%). What clients and practitioners perceived as helpful in digital interventions included support with motivation and accessibility, explanation of task reminders, resources, and learning skills to manage symptoms. What was perceived as unhelpful included problems with usability and a lack of direction or explanation. A total of 80 studies with 16,072 participants were included in the meta-analysis, revealing a moderate to large effect in favor of digital psychotherapies for depression (Hedges g=-0.61, 95% CI -0.75 to -0.47; Z=-8.58; P<.001). Subgroup analyses of the studies with different intervention delivery formats and session frequency did not have a statistically significant effect on the results (P=.48 and P=.97, respectively). However, blended approaches revealed a large effect size (Hedges g=-0.793), while interventions involving human contact (Hedges g=-0.42) or no human contact (Hedges g=-0.40) had slightly smaller effect sizes.

CONCLUSIONS

Digital interventions for depression were found to be effective regardless of format and frequency. Blended interventions have larger effect size than those involving human contact or no human contact. Digital interventions were helpful especially for diverse ethnic groups and young women. Future research should focus on understanding the sources of heterogeneity based on intervention and population characteristics.

TRIAL REGISTRATION

PROSPERO CRD42021238462; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=238462.

Mechanisms of change in digital interventions for depression: A systematic review and meta-analysis of six mediator domains

BACKGROUND

While the efficacy of digital interventions for the treatment of depression is well established, comprehensive knowledge on how therapeutic changes come about is still limited. This systematic review aimed to provide an overview of research on change mechanisms in digital interventions for depression and meta-analytically evaluate indirect effects of potential mediators.

METHODS

The databases CENTRAL, Embase, MEDLINE, and PsycINFO were systematically searched for randomized controlled trials investigating mediators of digital interventions for adults with depression. Two reviewers independently screened studies for inclusion, assessed study quality and categorized potential mediators. Indirect effects were synthesized with a two-stage structural equation modeling approach (TSSEM).

RESULTS

Overall, 25 trials (8110 participants) investigating 84 potential mediators were identified, of which attentional (8 %), self-related (6 %), biophysiological (6 %), affective (5 %), socio-cultural (2 %) and motivational (1 %) variables were the scope of this study. TSSEM revealed significant mediation effects for combined self-related variables (ab = -0.098; 95 %-CI: [-0.150, -0.051]), combined biophysiological variables (ab = -0.073; 95 %-CI: [-0.119, -0.025]) and mindfulness (ab = -0.042; 95 %-CI: [-0.080, -0.015]). Meta-analytical evaluations of the other three domains were not feasible.

LIMITATIONS

Methodological shortcomings of the included studies, the considerable heterogeneity and the small number of investigated variables within domains limit the generalizability of the results.

CONCLUSION

The findings further the understanding of potential change mechanisms in digital interventions for depression and highlight recommendations for future process research, such as the consideration of temporal precedence and experimental manipulation of potential mediators, as well as the application of network approaches.

Business case for psychosocial interventions in clinics: potential for decrease in treatment discontinuation and costs

RESEARCH QUESTION

From a value-based healthcare (VBHC) perspective, does an assessment of clinical outcomes and intervention costs indicate that providing cognitive behavioural therapy (CBT) or mindfulness to women seeking fertility treatment add value compared with no such intervention?

DESIGN

Proof-of-concept business case based on a VBHC perspective that considers clinical outcomes and costs. Potential effects on psychological and fertility outcomes were based on existing research. Cost outcomes were estimated with a costing model for the Dutch fertility treatment setting.

RESULTS

Thirty-two studies were identified; 13 were included. Women who received CBT had 12% lower anxiety, 40% lower depression and 6% higher fertility quality of life; difference in clinical pregnancy rates was six percentage points (CBT [30.2%]; control [24.2%]); difference in fertility discontinuation rates was 10 percentage points (CBT [5.5%]; control [15.2%]). Women who received training in mindfulness had 8% lower anxiety, 45% lower depression and 21% higher fertility quality of life; difference in mean clinical pregnancy rate was 19 percentage points (mindfulness [44.8%]; control [26.0%]). Potential total cost savings was about €1.2 million per year if CBT was provided and €11 million if mindfulness was provided. Corresponding return on investment for CBT was 30.7%, and for mindfulness 288%. Potential cost benefits are influenced by the assumed clinical pregnancy rates; such data related to mindfulness were limited to one study.

CONCLUSIONS

The provision of CBT or mindfulness to women seeking fertility treatment could add value. Higher quality primary studies are needed on the effect of mindfulness on clinical pregnancy rates.

Improving mental health in chronic care in general practice: study protocol for a cluster-randomised controlled trial of the Healthy Mind intervention

BACKGROUND

Mental health issues are common among patients with chronic physical conditions, affecting approximately one in five patients. Poor mental health is associated with worse disease outcomes and increased mortality. Problem-solving therapy (PST) may be a suitable treatment for targeting poor mental health in these patients. This study protocol describes a randomised controlled trial of the Healthy Mind intervention, a general practice-based intervention offering PST to patients with type 2 diabetes and/or ischaemic heart disease and poor mental well-being.

METHODS

A stepped-wedge cluster-randomised controlled trial with 1-year follow-up will be conducted in Danish general practice. At the annual chronic care consultation, patients with type 2 diabetes and/or chronic ischaemic heart disease will be screened for poor mental well-being. Patients in the control group will be offered usual care while patients in the intervention group will be offered treatment with PST provided by general practitioners (GPs) or general practice staff, such as nurses, who will undergo a 2-day PST course before transitioning from the control to the intervention group. The primary outcome is change in depressive symptoms after 6 and 12 months. Secondary outcomes include change in mental well-being, anxiety, and diabetes distress (patients with type 2 diabetes) after 6 and 12 months as well as change in total cholesterol levels, low-density lipoprotein (LDL) levels, and blood glucose levels (patients with diabetes) after 12 months. Process outcomes include measures of implementation and mechanisms of impact. We aim to include a total of 188 patients, corresponding to approximately 14 average-sized general practices.

DISCUSSION

The Healthy Mind trial investigates the impact of PST treatment for patients with chronic disease and poor mental well-being in general practice. This will be the first randomised controlled trial determining the effect of PST treatment for patients with chronic diseases in general practice. The results of this study will provide relevant insights to aid GPs, and general practice staff manage patients with poor mental well-being.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05611112. Registered on October 28, 2022.

Comparison of changes in stress coping strategies between cognitive behavioral therapy and pharmacotherapy

Background

Coping refers to conscious responses to negative circumstances, with the intention of ameliorating these situations. Few studies have compared the differences between psychotherapy and medication treatment for coping strategies for depression. In this study, we investigated the differences in coping strategies between cognitive behavioral therapy (CBT) combined with medication (CBT group) and medication alone (pharmacotherapy group) among outpatients with depression.

Methods

A prospective observational study was conducted among 50 patients with major depression (24 and 26 in the CBT and pharmacotherapy groups, respectively). Stress coping strategies (Coping Inventory for Stressful Situations [CISS]) and depression severity (Beck Depression Inventory-Second Edition [BDI-II]) were assessed at baseline and 16 weeks later. Changes in the CISS and BDI-II scores in both groups were tested using repeated analysis of variance. Inverse probability weighting with propensity score analysis was applied to address potential selection bias.

Results

At 16 weeks, the CBT group exhibited increased CISS task-oriented coping, distraction, and social diversion scores, which differed from those of the pharmacotherapy group. The CBT group exhibited a significantly greater reduction in depressive symptoms than the pharmacotherapy group.

Limitations

This study was not a randomized controlled trial and thus may have selection bias.

Conclusion

Gaining adaptive coping skills, including task-oriented coping, distraction, and social diversion skills, by combining CBT with medication may lead to greater improvement in depression symptoms. These findings suggest that clinicians should evaluate coping strategies and facilitate the acquisition of adaptive coping strategies in patients with depression to reduce their symptoms.

Managing mental health in chronic care in general practice: a feasibility study of the Healthy Mind intervention

BACKGROUND AND OBJECTIVE

Mental health issues are common among patients with chronic physical conditions. This study aims to evaluate the feasibility of the Healthy Mind intervention, a general practice-based programme that provides problem-solving therapy (PST) to patients with poor mental well-being and type 2 diabetes (T2D) and/or ischaemic heart disease (IHD).

DESIGN AND SETTING

A one-arm feasibility study was conducted in three general practices in the Central Denmark Region.

INTERVENTION

Eight healthcare providers from the included general practices underwent a two-day course to acquire PST skills. Screening for poor mental health was carried out at the annual chronic care consultation for T2D or IHD, and PST sessions were offered to patients on indication of poor mental health. Nine patients received PST.

METHODS

Semi-structured interviews with eight healthcare providers and six patients were conducted. Data were analysed deductively focusing on appropriateness, acceptability and fidelity of the intervention.

RESULTS

The intervention was considered appropriate for the patient group and the general practice setting. The providers acknowledged PST as a valuable tool for managing psychological issues in general practice, and the patients perceived PST as an effective and tangible treatment. Since practice nurses' schedules were generally better suited for longer consultations, they were often the preferred intervention providers. The intervention was largely delivered as intended. However, the GPs generally expected patients to prefer a more directive approach, which sometimes challenged their role as facilitator and guide.

CONCLUSION

The Healthy Mind intervention was found to be feasible, and the results support proceeding to a full-scale evaluation trial.

Online cognitive behavioral therapy (eCBT) for the management of depression symptoms in unipolar and bipolar spectrum disorders, a systematic review and network meta-analysis

BACKGROUND

Face-to-face cognitive behavioral therapy (CBT) is effective in the management of depression symptoms in unipolar and bipolar spectrum disorders. Though, compared to electronic adaptations of CBT (eCBT), it carries several accessibility limitations. Furthermore, unlike eCBT for depression symptoms (eCBTg), eCBT specific for bipolar depression (eCBT-Bipol) remains largely understudied. Thus, supplementing this gap, this systematic review and network meta-analysis (NMA) synthesized the available literature on eCBT for the treatment of unipolar and bipolar depression symptoms.

METHOD

MEDLINE, CINAHL, PsycINFO, EMBASE, and Cochrane were searched for relevant randomized controlled trials (RCTs) on eCBTg and eCBT-Bipol The review followed PRISMA guidelines and used the Cochrane risk of bias tool and GRADE criteria for quality assessment. Effect sizes were summarized using standardized mean differences (SMDs) and risk ratios (RRs).

RESULTS

eCBT-Bipol was comparable to eCBTg (SMD: 0.05, 95 % CI: -0.18; 0.28) and other psychotherapeutic interventions (SMD: 0.14, 95 % CI: -0.07; 0.35) for the management of mild to moderate depression symptoms. eCBT-Bipol was significantly more effective than attention controls (SMD: 0.35, 95 % CI: 0.11; 0.59), treatment as usual (SMD: 0.55, 95 % CI: 0.21; 0.90) and no intervention controls (SMD: 0.66, 95 % CI: 0.40; 0.93) in mitigating symptoms.

LIMITATIONS

The scarcity of eCBT-Bipol studies impacted the quality of the evidence in terms of risk of bias and imprecision.

CONCLUSIONS

The findings of this systematic review suggest that eCBT-Bipol has comparable effectiveness to eCBTg in managing depressive symptoms of unipolar and bipolar spectrum disorder. Though, they also highlighted the need for more studies on eCBT-Bipol.

Associations between rumination, depression, and distress tolerance during CBT treatment for depression in a tertiary care setting

BACKGROUND

Rumination is strongly associated with depressive symptom severity and course. However, changes in rumination during outpatient cognitive behavioral therapy (CBT), and their links to baseline features such as distress tolerance and clinical outcomes, have received limited attention.

METHODS

278 outpatients with depression received group or individual CBT. Measures of rumination, distress tolerance, and depression symptom severity were assessed at baseline and periodically during treatment. Mixed effect and regression-based models evaluated changes over time, and associations between rumination, distress tolerance and depression severity.

RESULTS

Depression and rumination decreased throughout acute treatment. Rumination reduction was concurrently associated with depressive symptom reduction. Lower levels of rumination at each time point prospectively predicted lower depressive symptoms at the next time point. Distress tolerance measured at baseline was positively associated with depression symptom severity; the indirect effect on post-treatment depression symptoms via rumination measured mid-treatment was nonsignificant when rumination at baseline was accounted for. Changes in and associations between depression and rumination were replicated in sensitivity analyses; although changes in depression and rumination were smaller in magnitude in patients receiving treatment during COVID-19.

LIMITATIONS

Additional assessment points would permit a more nuanced assessment of the role rumination may play in mediating the associations between distress tolerance and depression severity. Additional investigation of treatments in community settings may also further our understanding of variability in rumination during depression treatment.

CONCLUSIONS

The current study provides unique real-world support for variability in rumination as a key indicator of change over the course of CBT for depression.

Moderators and mediators of change of an internet-based mindfulness intervention for college students: secondary analysis from a randomized controlled trial

Background

Existing evidence suggests internet- and mobile-based interventions (IMIs) improve depressive symptoms in college students effectively. However, there is far less knowledge about the potential mechanisms of change of mindfulness-based IMIs, which could contribute to optimizing target groups and interventions. Hence, within this secondary analysis of data from a randomized controlled trial (RCT), potential moderators and mediators of the effectiveness of the IMI StudiCare Mindfulness were investigated.

Methods

Moderation and mediation analyses were based on secondary data from a RCT that examined the effectiveness of the 7-module IMI StudiCare Mindfulness in a sample of college students (intervention group: n = 217; waitlist control group: n = 127). Assessments were collected before (t0; baseline), 4 weeks after (t1; during intervention), and 8 weeks after (t2; post-intervention) randomization. Longitudinal mediation analyses using structural equation modeling were employed, with depressive symptom severity as the dependent variable. For moderation analyses, bilinear interaction models were calculated with depressive symptom severity and mindfulness at t2 as dependent variables. All data-analyses were performed on an intention-to-treat basis.

Results

Mediation analyses showed a significant, full mediation of the intervention effect on depressive symptom severity through mindfulness (indirect effect, a*b = 0.153, p < 0.01). Only the number of semesters (interaction: β = 0.24, p = 0.035) was found to moderate the intervention's effectiveness on depressive symptom severity at t2, and only baseline mindfulness (interaction: β = -0.20, p = 0.047) and baseline self-efficacy (interaction: β = -0.27, p = 0.012) were found to be significant moderators of the intervention effect on mindfulness at t2.

Conclusion

Our results suggest a mediating role of mindfulness. Moderation analyses demonstrated that the intervention improved depressive symptom severity and mindfulness independent of most examined baseline characteristics. Future confirmatory trials will need to support these findings.

Clinical Trial Registration

The trial was registered a priori at the WHO International Clinical Trials Registry Platform via the German Clinical Studies Trial Register (TRN: DRKS00014774; registration date: 18 May 2018).

A personalized intervention to prevent depression in primary care based on risk predictive algorithms and decision support systems: protocol of the e-predictD study

The predictD is an intervention implemented by general practitioners (GPs) to prevent depression, which reduced the incidence of depression-anxiety and was cost-effective. The e-predictD study aims to design, develop, and evaluate an evolved predictD intervention to prevent the onset of major depression in primary care based on Information and Communication Technologies, predictive risk algorithms, decision support systems (DSSs), and personalized prevention plans (PPPs). A multicenter cluster randomized trial with GPs randomly assigned to the e-predictD intervention + care-as-usual (CAU) group or the active-control + CAU group and 1-year follow-up is being conducted. The required sample size is 720 non-depressed patients (aged 18-55 years), with moderate-to-high depression risk, under the care of 72 GPs in six Spanish cities. The GPs assigned to the e-predictD-intervention group receive brief training, and those assigned to the control group do not. Recruited patients of the GPs allocated to the e-predictD group download the e-predictD app, which incorporates validated risk algorithms to predict depression, monitoring systems, and DSSs. Integrating all inputs, the DSS automatically proposes to the patients a PPP for depression based on eight intervention modules: physical exercise, social relationships, improving sleep, problem-solving, communication skills, decision-making, assertiveness, and working with thoughts. This PPP is discussed in a 15-min semi-structured GP-patient interview. Patients then choose one or more of the intervention modules proposed by the DSS to be self-implemented over the next 3 months. This process will be reformulated at 3, 6, and 9 months but without the GP-patient interview. Recruited patients of the GPs allocated to the control-group+CAU download another version of the e-predictD app, but the only intervention that they receive via the app is weekly brief psychoeducational messages (active-control group). The primary outcome is the cumulative incidence of major depression measured by the Composite International Diagnostic Interview at 6 and 12 months. Other outcomes include depressive symptoms (PHQ-9) and anxiety symptoms (GAD-7), depression risk (predictD risk algorithm), mental and physical quality of life (SF-12), and acceptability and satisfaction ('e-Health Impact' questionnaire) with the intervention. Patients are evaluated at baseline and 3, 6, 9, and 12 months. An economic evaluation will also be performed (cost-effectiveness and cost-utility analysis) from two perspectives, societal and health systems.

Trial registration

ClinicalTrials.gov, identifier: NCT03990792.

Comparative effectiveness and acceptability of psychotherapies for late-life depression: A systematic review and network meta-analysis

BACKGROUND

The purpose of this systematic review and network meta-analysis is to compare the effectiveness and acceptability of psychotherapies for late-life depression.

METHODS

We searched PubMed, Embase, PsycINFO, CINAHL, The Cochrane Library, China National Knowledge Infrastructure, WANFANG database, and Chinese Biomedicine literature (CBM) for randomized controlled trials (RCTs) from their respective inception dates to March 30, 2022. Comparative effectiveness and acceptability of these psychological interventions were evaluated by conducting standard pairwise meta-analyses and network meta-analyses. A battery of analyses and assessments, such as the risk of bias and certainty of the evidence were performed.

RESULTS

A total of 68 studies with 4550 participants on six psychotherapies compared with two control groups were included in the final analysis. Notably, there were no statistically significant differences between behavioral activation therapy, cognitive behavior therapy (CBT), cognitive therapy, life review therapy, mindfulness, and combined psychotherapy. Compared with the non-active control group, six psychological interventions were statistically effective in reducing depression symptoms (standardized mean differences (SMDs) range, -1.08 to -0.73). While, only CBT, life review therapy, mindfulness, and combined psychotherapy were more effective than the active control group (SMDs range, -0.85 to -0.74). Life review therapy was ranked as the best option according to effectiveness and acceptability, while behavioral activation therapy was the worst by acceptability. The certainty of the evidence was mostly rated as low to very low.

CONCLUSIONS

Despite the scarcity of high-quality evidence, all six psychotherapies were effective for late-life depression, and life review therapy seemed to be the best choice in terms of effectiveness and acceptability. The findings of our review could provide policymakers and service commissioners with evidence-based practice for making decisions among different psychotherapies.

Comparison of online and in-person cognitive behavioral therapy in individuals diagnosed with major depressive disorder: a non-randomized controlled trial

Objective

The increased prevalence of major depressive disorder (MDD) amid the COVID-19 pandemic has resulted in substantial growth in online mental health care delivery. Compared to its in-person counterpart, online cognitive behavioral therapy (e-CBT) is a time-flexible and cost-effective method of improving MDD symptoms. However, how its efficacy compares to in-person CBT is yet to be explored. Therefore, the current study compared the efficacy of a therapist-supported, electronically delivered e-CBT program to in-person therapy in individuals diagnosed with MDD.

Methods

Participants (n = 108) diagnosed with MDD selected either a 12 week in-person CBT or an asynchronous therapist-supported e-CBT program. E-CBT participants (n = 55) completed weekly interactive online modules delivered through a secure cloud-based online platform (Online Psychotherapy Tool; OPTT). These modules were followed by homework in which participants received personalized feedback from a trained therapist. Participants in the in-person CBT group (n = 53) discussed sessions and homework with their therapists during one-hour weekly meetings. Program efficacy was evaluated using clinically validated symptomatology and quality of life questionnaires.

Results

Both treatments yielded significant improvements in depressive symptoms and quality of life from baseline to post-treatment. Participants who opted for in-person therapy presented significantly higher baseline symptomatology scores than the e-CBT group. However, both treatments demonstrated comparable significant improvements in depressive symptoms and quality of life from baseline to post-treatment. e-CBT seems to afford higher participant compliance as dropouts in the e-CBT group completed more sessions on average than those in the in-person CBT group.

Conclusion

The findings support e-CBT with therapist guidance as a suitable option to treat MDD. Future studies should investigate how treatment accessibility is related to program completion rates in the e-CBT vs. in-person group.

Clinical Trial Registration

ClinicalTrials.Gov Protocol Registration and Results System (NCT04478058); clinicaltrials.gov/ct2/show/NCT04478058.

Longitudinal changes in intolerance of uncertainty and worry severity during CBT for generalized anxiety disorder

Intolerance of uncertainty (IU) is a key construct in generalized anxiety disorder (GAD), but little is known about the concurrent and temporal patterns of associations between IU and GAD symptom severity during treatment. In addition, most of the extant literature focuses on IU as a unidimensional construct, whereas some researchers conceptualize IU as being comprised of two dimensions, inhibitory and prospective IU. Ninety individuals with GAD completed measures of IU and worry severity at pre-treatment, session 4, session 8, and end of treatment (session 12), during group-based cognitive behavior therapy (CBT) for GAD. Longitudinal multilevel modeling showed that IU predicted worry severity concurrently, but not prospectively over time; this pattern of associations was found with the total IUS score and the inhibitory (but not prospective) subscale score. Further, the relationship between IU total scores and worry severity became stronger over time. The relationship between inhibitory (but not prospective) IU and worry also became stronger over time. When the order of the variables in the model was reversed, worry severity also predicted concurrent but not future IU. Therefore, change in IU is associated with change in worry throughout the course of CBT, particularly as treatment progresses, though its directional association as a cause and/or effect remains unclear.

Chatbot-Delivered Psychotherapy for Adults With Depressive and Anxiety Symptoms: A Systematic Review and Meta-Regression

Although psychotherapy is a well-established treatment for depression and anxiety, chatbot-delivered psychotherapy is an emerging field that has yet to be explored in depth. This review aims to (a) examine the effectiveness of chatbot-delivered psychotherapy in improving depressive symptoms among adults with depression or anxiety, and (b) evaluate the preferred features for the design of chatbot-delivered psychotherapy. Eight electronic databases were searched for relevant randomized controlled trials. Meta-analysis and random effects meta-regression was conducted using Comprehensive Meta-Analysis 3.0 software. Overall effect was measured using Hedges's g and determined using z statistics at significance level p < .05. Assessment of heterogeneity was done using χ² and I² tests. A meta-analysis of 11 trials revealed that chatbot-delivered psychotherapy significantly improved depressive symptoms (g = 0.54, 95% confidence interval [-0.66, -0.42], p < .001). Although no significant subgroup differences were detected, results revealed larger effect sizes for samples of clinically diagnosed anxiety or depression, chatbots with an embodiment, a combination of types of input and output formats, less than 10 sessions, problem-solving therapy, off-line platforms, and in different regions of the United States than their counterparts. Meta-regression did not identify significant covariates that had an impact on depressive symptoms. Chatbot-delivered psychotherapy can be adopted in health care institutions as an alternative treatment for depression and anxiety. More high-quality trials are warranted to confirm the effectiveness of chatbot-delivered psychotherapy on depressive symptoms. PROSPERO registration number: CRD42020153332.

Smartphone Delivery of Cognitive Behavioral Therapy for Postintensive Care Syndrome-Family: Protocol for a Pilot Study

BACKGROUND

Family members of critically ill patients experience symptoms of postintensive care syndrome-family (PICS-F), including anxiety, depression, and posttraumatic stress disorder. Postintensive care syndrome-family reduces the quality of life of the families of critically ill patients and may impede the recovery of such patients. Cognitive behavioral therapy has become a first-line nonpharmacological treatment of many psychological symptoms and disorders, including anxiety, depression, and posttraumatic stress. With regard to managing mild-to-moderate symptoms, the delivery of cognitive behavioral therapy via mobile technology without input from a clinician has been found to be feasible and well accepted, and its efficacy rivals that of face-to-face therapy.

OBJECTIVE

The purpose of our pilot study is to examine the efficacy of using a smartphone mobile health (mHealth) app to deliver cognitive behavioral therapy and diminish the severity and prevalence of PICS-F symptoms in family members of critically ill patients.

METHODS

For our pilot study, 60 family members of critically ill patients will be recruited. A repeated-measures longitudinal study design that involves the randomization of participants to 2 groups (the control and intervention groups) will be used. The intervention group will receive cognitive behavioral therapy, which will be delivered via a smartphone mHealth app. Bandura's social cognitive theory and an emphasis on mental health self-efficacy form the theoretical framework of the study.

RESULTS

Recruitment for the study began in August 2020. Data collection and analysis are expected to be completed by March 2022.

CONCLUSIONS

The proposed study represents a novel approach to the treatment of PICS-F symptoms and is an extension of previous work conducted by the research team. The study will be used to plan a fully powered randomized controlled trial.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04316767; https://clinicaltrials.gov/ct2/show/NCT04316767.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/30813.

Exploring the concurrent use of standardised and idiographic measures to assess cognitive behavioural therapy in a university student with autistic spectrum condition – a single case experimental design

Limited research has directly addressed the challenges of higher education for students with autism, who face additional difficulties in navigating social, personal and academic obstacles. With more students experiencing mental health difficulties whilst at university, therapeutic interventions on offer need to be suitable for those accessing support. Cognitive behavioural therapy (CBT) is widely used to support university students, as it is firmly established as an effective treatment for a range of issues, including social and generalised anxiety in typically developing populations (NICE, 2013; NICE, 2019). However, the efficacy of CBT for individuals with autistic spectrum condition (ASC) is less well known, despite the high prevalence rates of anxiety in this population. This paper seeks to address a gap in the literature and uses a single-case (A-B) experimental design over 16 sessions to reduce co-morbid social and generalised anxiety in a university student with high-functioning ASC. Clark’s (2001) cognitive model of social anxiety and Wells’ (1997) cognitive model of generalised anxiety were employed to formulate anxiety experienced in this case. Standardised outcome measures were used for social anxiety, i.e. the Social Phobia Inventory (SPIN), and generalised anxiety, i.e. the Generalised Anxiety Disorder-7 (GAD-7), in conjunction with idiographic ratings to assess the impact of therapy. Findings indicate that CBT was an acceptable and useful intervention with mixed results; discrepancies were found between clinical change recorded on standardised measures compared with idiographic ratings. This paper discusses the use of standardised measures of anxiety for individuals with ASC and identifies directions for further research.

Key learning aims

(1)

Promoting Problem Solving About Health Management: A Mixed-Methods Pilot Evaluation of a Digital Health Intervention for Older Adults With Pre-Frailty and Frailty

Background: There is a need for interventions to promote health management of older adults with pre-frailty and frailty. Technology poses promising solutions, but questions exist about effective delivery. Objectives: We present the results of a mixed-methods pilot evaluation of Virtual Online Communities for Older Adults (VOCALE), an 8-week intervention conducted in the northwestern United States, in which participants shared health-related experiences and applied problem solving skills in a Facebook group. Methods: We performed a mixed-methods process evaluation, integrating quantitative and qualitative data, to characterize the intervention and its effects. We focus on four areas: health-related measures (health literacy and self-efficacy), participation, problem solving skills enacted, and subjective feedback. Results: Eight older adults with pre-frailty and frailty (age = 82.7 ± 6.6 years) completed the study. There was an upward trend in health literacy and health self-efficacy post-intervention. Participants posted at least two times per week. Content analysis of 210 posts showed participants were able to apply the problem solving skills taught, and exit interviews showed participants' increased awareness of the need to manage health, and enjoyment in learning about others. Conclusion: This mixed-methods evaluation provides insight into feasibility and design considerations for online interventions to promote health management among vulnerable older adults.

One year follow-up and mediation in cognitive behavioral therapy and acceptance and commitment therapy for adult depression

BACKGROUND

Existing therapies for depression are effective, but many patients fail to recover or relapse. To improve care for patients, more research into the effectiveness and working mechanisms of treatments is needed. We examined the long-term efficacy of Cognitive Behavioral Therapy (CBT) and Acceptance and Commitment Therapy (ACT) for Major Depressive Disorder (MDD), testing the hypothesis that CBT outperforms ACT and that both therapies work through their designated mechanisms of change.

METHODS

We conducted a randomized controlled trial with 82 patients suffering from MDD. Data were collected before, during and after treatment, and at 12-month follow-up, assessing symptoms of depression, quality of life, dysfunctional attitudes, decentering, and experiential avoidance.

RESULTS

Patients in both conditions reported significant and large reductions of depressive symptoms (d = - 1.26 to - 1.60) and improvement in quality of life (d = 0.91 to - 1.28) 12 months following treatment. Our findings indicated no significant differences between the two interventions. Dysfunctional attitudes and decentering mediated treatment effects of depressive symptoms in both CBT and ACT, whereas experiential avoidance mediated treatment effects in ACT only.

CONCLUSIONS

Our results indicate that CBT is not more effective in treating depression than ACT. Both treatments seem to work through changes in dysfunctional attitudes and decentering, even though the treatments differ substantially. Change in experiential avoidance as an underlying mechanism seems to be an ACT-specific process. Further research is needed to investigate whether ACT and CBT may work differently for different groups of patients with depression.

TRIAL REGISTRATION

clinicaltrials.gov; NCT01517503 . Registered 25 January 2012 - Retrospectively registered.

Mediators and mechanisms of change in internet- and mobile-based interventions for depression: A systematic review

The efficacy of Internet- and mobile-based interventions (IMIs) for depression in adults is well established. Yet, comprehensive knowledge on the mediators responsible for therapeutic change in these interventions is pending. Therefore, we conducted the first systematic review on mediators in IMIs for depression, investigating mechanisms of change in interventions with different theoretical backgrounds and delivery modes (PROSPERO CRD42019130301). Two independent reviewers screened references from five databases (i.e., Cochrane Library, Embase, MEDLINE/PubMed, PsycINFO and ICTRP), selected studies for inclusion and extracted data from eligible studies. We included 26 RCTs on mediators in IMIs for depression (6820 participants), rated their risk of bias and adherence to methodological quality criteria for psychotherapy process research. Primary studies examined 64 mediators, with cognitive variables (e.g., perceived control, rumination or interpretation bias) being the largest group of both examined (m = 28) and significant mediators (m = 22); followed by a range of other mediators, including mindfulness, acceptance and behavioral activation. Our findings might contribute to the empirically-informed advancement of interventions and mental health care practices, enabling optimized treatment outcomes for patients with depression. Furthermore, we discuss implications for future research and provide methodological recommendations for forthcoming mediation studies with more pertinent designs, allowing for inferences with higher causal specificity.

Intention-to-treat analysis when only a baseline value is available

Objectives

How to perform an intention to treat (ITT) analysis when a patient has a baseline value but no follow-up measurements is problematic. The purpose of this study was to compare different methods that deal with this problem, i.e. no imputation (standard and alternative mixed model analysis), single imputation (i.e. baseline value carried forward), and multiple imputation (selective and non-selective).

Study design and setting

We used a simulation study with different scenarios regarding 1) the association between missingness and the baseline value, 2) whether the patients did or did not receive the treatment, and 3) the percentage of missing data, and two real life data sets.

Results

Bias and coverage were comparable between the two mixed model analyses and multiple imputation in most situations including the real life data examples. Only in the situation when the patients in the treatment group were simulated not to have received the treatment, selective imputation using this information outperformed all other methods.

Conclusions

In most situations a standard mixed model analysis without imputation is appropriate as ITT analysis. However, when patients with missing follow-up data allocated to the treatment group did not received treatment, it is advised to use selective imputation, using this information, although the results should be interpreted with caution.

Effectiveness of a Mobile App Intervention for Anxiety and Depression Symptoms in University Students: Randomized Controlled Trial

BACKGROUND

Depression and anxiety symptoms are common among university students, but many do not receive treatment. This is often because of lack of availability, reluctance to seek help, and not meeting the diagnostic criteria required to access services. Internet-based interventions, including smartphone apps, can overcome these issues. However, a large number of apps are available, each with little evidence of their effectiveness.

OBJECTIVE

This study aims to evaluate for the first time the effectiveness of a self-guided mobile app, Feel Stress Free, for the treatment of depression and anxiety symptoms in students.

METHODS

A web-based randomized controlled trial compared a cognitive behavioral therapy (CBT)-based mobile app Feel Stress Free with a wait-list control. University students self-identified as experiencing symptoms of anxiety or depression and were randomized to 6 weeks of intervention (n=84) or control (n=84), unblinded. The app is self-guided and incorporates behavioral relaxation activities, mood tracking and thought challenging, and minigames. Participants completed the Hospital Anxiety and Depression Scale online at baseline and every fortnight.

RESULTS

At week 6, the primary end point, there was evidence that the Feel Stress Free app reduced depression symptoms (mean difference -1.56; 95% CI -2.67 to -0.44; P=.006) but only very weak evidence that it reduced anxiety symptoms (mean difference -1.36; 95% CI -2.93 to 0.21; P=.09). At week 4, there was evidence to support the effectiveness of the intervention for anxiety symptoms (mean difference -1.94; 95% CI -3.11 to -0.77; P=.001) and, though weaker, depression symptoms (mean difference -1.08; 95% CI -2.12 to -0.04; P=.04). At week 6, 83% (34/41) of participants indicated that they were using the app weekly or more frequently.

CONCLUSIONS

The Feel Stress Free app is a promising mobile intervention for treating symptoms of anxiety and depression in students and overcomes many of the barriers to traditional CBT. Further research is needed to establish its effectiveness at and beyond 6 weeks.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03032952; https://clinicaltrials.gov/ct2/show/NCT03032952.

Applying experimental therapeutics to examine cognitive and chronological vulnerabilities as mediators of acute outcomes in cognitive-behavioral therapy and light therapy for winter depression

OBJECTIVE

We applied the experimental therapeutics approach to test whether acute treatment outcomes for winter seasonal affective disorder (SAD) are mediated by a cognitive mechanism in cognitive-behavioral therapy (CBT-SAD) versus a chronobiologic mechanism in light therapy (LT).

METHOD

Currently depressed adults with major depression, recurrent with seasonal pattern (N = 177; 83.6% female, 92.1% non-Hispanic White, M age = 45.6) were randomized to 6 weeks of LT or group CBT-SAD. SAD symptoms were assessed weekly on the Structured Clinical Interview for the Hamilton Rating Scale for Depression-SAD Version. At pre-, mid-, and posttreatment, participants completed measures of general depressogenic cognitions (Dysfunctional Attitudes Scale; DAS); SAD-specific negative cognitions (Seasonal Beliefs Questionnaire; SBQ); chronotype (Morningness-Eveningness Questionnaire; MEQ); and depressive symptoms (Beck Depression Inventory-Second Edition).

RESULTS

Parallel-process growth models showed evidence for hypothesized mechanisms. For SAD-specific negative cognitions (SBQ), both symptom measures showed (1) an effect of treatment group on the slope of the mediator, with CBT-SAD demonstrating greater decreases, and (2) an effect of the slope of the mediator on the slope of the outcome. These effects held for the SBQ but not the broader measure of depressogenic cognitions (DAS). For the chronotype measure (MEQ), treatment assignment affected change, whereby LT was associated with reduced "eveningness," but this was unrelated to change in symptoms.

CONCLUSIONS

CBT-SAD promoted decreases in SAD-specific negative cognitions, and these changes were related to decreases in symptoms. Consistent with the theory that LT corrects misaligned circadian rhythms, LT reduced eveningness, but this did not correspond to symptom improvement. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

An Integrative Model for the Effectiveness of Biofeedback Interventions for Anxiety Regulation: Viewpoint

Biofeedback has shown to be a promising tool for the treatment of anxiety; however, several theoretical as well as practical limitations have prevented widespread adaptation until now. With current technological advances and the increasing interest in the use of self-monitoring technology to improve mental health, we argue that this is an ideal time to launch a new wave of biofeedback training. In this viewpoint paper, we reflect on the current state of biofeedback training, including the more traditional techniques and mechanisms that have been thought to explain the effectiveness of biofeedback such as the integration of operant learning and meditation techniques, and the changes in interoceptive awareness and physiology. Subsequently, we propose an integrative model that includes a set of cognitive appraisals as potential determinants of adaptive trajectories within biofeedback training such as growth mindset, self-efficacy, locus of control, and threat-challenge appraisals. Finally, we present a set of detailed guidelines based on the integration of our model with the mechanics and mechanisms offered by emerging interactive technology to encourage a new phase of research and implementation using biofeedback. There is a great deal of promise for future biofeedback interventions that harness the power of wearables and video games, and that adopt a user-centered approach to help people regulate their anxiety in a way that feels engaging, personal, and meaningful.

Social and Psychiatric Aspects of the Emigration Problem in Ukraine

The article presents data on a new scheme of complex treatment and rehabilitation of emigrants with psychogenic, endogenous and organic depressive disorders, as well as the results of comparative analysis of the effectiveness of this scheme, compared to the traditional one. The use of the proposed treatment scheme also allowed to reduce the severity of anxiety, indicators of the severity of psychopathological symptoms, improve the quality of life among emigrants suffering from depressive disorders of different genesis. The received results allow us to recommend the scheme we have developed for implementation in the complex treatment of emigrants suffering from depressive disorders of psychogenic, endogenous, and organic genesis.

Problem solving therapy (PST) tailored for intimate partner violence (IPV) versus standard PST and enhanced usual care for pregnant women experiencing IPV in rural Ethiopia: protocol for a randomised controlled feasibility trial

BACKGROUND

In rural Ethiopia, 72% of women are exposed to lifetime intimate partner violence (IPV); IPV is most prevalent during pregnancy. As well as adversely affecting women's physical and mental health, IPV also increases the risk of child morbidity and mortality associated with maternal depression, thus making antenatal care an important opportunity for intervention. Adapting generic, task-shared, brief psychological interventions for perinatal depression and anxiety to address the needs and experiences of women affected by IPV may improve acceptability to women and feasibility for health workers. This randomised controlled feasibility trial will compare brief problem solving therapy (PST) specifically adapted for pregnant women experiencing IPV (PST-IPV) with standard PST and enhanced usual care to determine the feasibility of a future fully powered randomised controlled trial.

METHODS

Seventy-five pregnant women scoring five or more on the Patient Health Questionnaire, endorsing a tenth question about functional impact and reporting past-year IPV, will be recruited from antenatal care clinics in predominantly rural districts in Ethiopia. Consenting participants will be randomised to either four sessions of PST-IPV, four sessions of standard PST or information about sources of support (enhanced usual care) in a three-arm design. The interventions will be delivered by trained, supervised antenatal care staff using a task-sharing model. Assessments will be made at baseline and after 9 weeks by masked outcome assessors and will include measures of depression symptoms (primary outcome), post-traumatic stress, anxiety symptoms, functional impact, past-month IPV and hypothesised mediators (secondary outcomes). A mixed-method process evaluation will determine the feasibility of a future randomised controlled trial, assess the feasibility, acceptability, fidelity and quality of implementation of PST-IPV, generate testable hypotheses about causal mechanisms, and identify potential contextual factors influencing outcomes.

DISCUSSION

Despite mental health being a critical concern for women experiencing IPV, there is limited evidence for brief, task-shared psychological interventions adapted for their needs in low- and middle-income countries. Contextually tailored interventions for pregnant women experiencing IPV in low- and middle-income countries require development and process evaluation. This randomised controlled feasibility trial will yield results on the feasibility of conducting a fully powered trial, relevant to researchers, primary and antenatal care clinicians in resource-limited settings.

TRIAL REGISTRATION

Pan-African clinical trials registry: PACTR202002513482084. Prospectively registered on 13 December 2019.

Online psychotherapy: trailblazing digital healthcare

Advances in digital technology have a profound impact on conventional healthcare systems. We examine the trailblazing use of online interventions to enable autonomous psychological care which can greatly enhance individual- and population-level access to services. There is strong evidence supporting online cognitive-behavioural therapy and more engaging programmes are now appearing so as to reduce user 'attrition'. The next generation of autonomous psychotherapy programmes will implement adaptive and personalised responses, moving beyond impersonalised advice on cognitive and behavioural techniques. This will be a more authentic form of psychotherapy that integrates therapy with the actual relationship experiences of the individual user.

The effects of retrieval versus rehearsal of online problem-solving therapy sessions on recall, problem-solving skills and distress in distressed individuals: An experimental study

BACKGROUND AND OBJECTIVES

Improving memory for the content of therapy sessions might increase the effects of psychological interventions. Previous studies showed that healthy individuals who took a memory test (retrieval) of studied material showed better long-term memory retention than individuals who restudied (rehearsal) the material. The aim of the current study was to find out whether we can translate these findings to a subclinical setting.

METHODS

Individuals with moderate levels of distress were randomized into retrieving (n = 46) or rehearsing (n = 49) four weekly sessions of online Problem-Solving Therapy (PST). Session recall, problem-solving skills and distress were measured at baseline, three days after each session and at one-week follow-up.

RESULTS

Retrieval led to overall higher recall, but this difference disappeared when controlling for the time spent on retrieval versus rehearsal. Retrieval did not lead to better problem-solving skills or less distress, compared to rehearsal. Baseline working memory performance moderated the effect of condition on recall after controlling for the time spent on retrieval versus rehearsal: the effect of retrieval compared to rehearsal on recall was larger for individuals with lower working memory performance.

LIMITATIONS

The sample mostly consisted of university students with overall high working memory scores.

CONCLUSIONS

This study provided the first evidence that retrieval of the content of PST sessions may lead to better session recall compared to rehearsal of the PST sessions in individuals with a low working memory score. Implications for the use of cognitive support strategies within a therapeutic setting are discussed.

Psychological interventions for common mental disorders in women experiencing intimate partner violence in low-income and middle-income countries: a systematic review and meta-analysis

BACKGROUND

Evidence on the effectiveness of psychological interventions for women with common mental disorders (CMDs) who also experience intimate partner violence is scarce. We aimed to test our hypothesis that exposure to intimate partner violence would reduce intervention effectiveness for CMDs in low-income and middle-income countries (LMICs).

METHODS

For this systematic review and meta-analysis, we searched MEDLINE, Embase, PsycINFO, Web of Knowledge, Scopus, CINAHL, LILACS, ScieELO, Cochrane, PubMed databases, trials registries, 3ie, Google Scholar, and forward and backward citations for studies published between database inception and Aug 16, 2019. All randomised controlled trials (RCTs) of psychological interventions for CMDs in LMICs which measured intimate partner violence were included, without language or date restrictions. We approached study authors to obtain unpublished aggregate subgroup data for women who did and did not report intimate partner violence. We did separate random-effects meta-analyses for anxiety, depression, post-traumatic stress disorder (PTSD), and psychological distress outcomes. Evidence from randomised controlled trials was synthesised as differences between standardised mean differences (SMDs) for change in symptoms, comparing women who did and who did not report intimate partner violence via random-effects meta-analyses. The quality of the evidence was assessed with the Cochrane risk of bias tool. This study is registered on PROSPERO, number CRD42017078611.

FINDINGS

Of 8122 records identified, 21 were eligible and data were available for 15 RCTs, all of which had a low to moderate risk of overall bias. Anxiety (five interventions, 728 participants) showed a greater response to intervention among women reporting intimate partner violence than among those who did not (difference in standardised mean differences [dSMD] 0·31, 95% CI 0·04 to 0·57, I2=49·4%). No differences in response to intervention were seen in women reporting intimate partner violence for PTSD (eight interventions, n=1436; dSMD 0·14, 95% CI -0·06 to 0·33, I2=42·6%), depression (12 interventions, n=2940; 0·10, -0·04 to 0·25, I2=49·3%), and psychological distress (four interventions, n=1591; 0·07, -0·05 to 0·18, I2=0·0%, p=0·681).

INTERPRETATION

Psychological interventions treat anxiety effectively in women with current or recent intimate partner violence exposure in LMICs when delivered by appropriately trained and supervised health-care staff, even when not tailored for this population or targeting intimate partner violence directly. Future research should investigate whether adapting evidence-based psychological interventions for CMDs to address intimate partner violence enhances their acceptability, feasibility, and effectiveness in LMICs.

FUNDING

UK National Institute for Health Research ASSET and King's IoPPN Clinician Investigator Scholarship.

Intervention components, mediators, and mechanisms of change of Internet- and mobile-based interventions for post-traumatic stress disorder: protocol for a systematic review and meta-analysis

BACKGROUND

While Internet- and mobile-based interventions (IMIs) might possess the potential to increase access to evidence-based therapies for post-traumatic stress disorder (PTSD), comprehensive knowledge on active intervention components and change mechanisms underlying their efficacy is largely pending so far. The proposed systematic review and meta-analysis will systematically review the current status of research on the efficacy of IMIs for adult PTSD compared to active control conditions and identify active intervention components and mediators responsible for therapeutic change.

METHODS

A systematic literature search (PsycINFO, Medline/PubMed, Embase, CENTRAL, ICTRP, and Web of Science) will be conducted using keywords targeting "PTSD" and "Internet- and mobile-based interventions". Two independent researchers will retrieve studies eligible for inclusion and extract and evaluate data (design, population, outcomes, sample size, duration of intervention and follow-up, drop-out rate). Risk of bias will be assessed, and results will be synthesized qualitatively and evaluated meta-analytically when possible.

DISCUSSION

The results of this systematic review and meta-analysis might further contribute to the development of IMIs for PTSD by highlighting intervention components and mediators associated with their efficacy. Knowledge about the active ingredients might ultimately lead to more effective interventions and treatment packages, with implications for clinical practice and dissemination of these rather novel interventions.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO (CRD42019130314).

Cognitive change in cognitive-behavioural therapy v. pharmacotherapy for adult depression: a longitudinal mediation analysis

BACKGROUND

Although cognitive-behavioural therapy (CBT) is a well-established treatment for adult depression, its efficacy and efficiency may be enhanced by better understanding its mechanism(s) of action. According to the theoretical model of CBT, symptom improvement occurs via reductions in maladaptive cognition. However, previous research has not established clear evidence for this cognitive mediation model.

METHODS

The present study investigated the cognitive mediation model of CBT in the context of a randomized controlled trial of CBT v. antidepressant medication (ADM) for adult depression. Participants with major depressive disorder were randomized to receive 16 weeks of CBT (n = 54) or ADM (n = 50). Depression symptoms and three candidate cognitive mediators (dysfunctional attitudes, cognitive distortions and negative automatic thoughts) were assessed at week 0 (pre-treatment), week 4, week 8 and week 16 (post-treatment). Longitudinal associations between cognition and depression symptoms, and mediation of treatment outcome, were evaluated in structural equation models.

RESULTS

Both CBT and ADM produced significant reductions in maladaptive cognition and depression symptoms. Cognitive content and depression symptoms were moderately correlated within measurement waves, but cross-lagged associations between the variables and indirect (i.e. mediated) treatment effects were non-significant.

CONCLUSIONS

The results provide support for concurrent relationships between cognitive and symptom change, but not the longitudinal relationships hypothesized by the cognitive mediation model. Results may be indicative of an incongruence between the timing of measurement and the dynamics of cognitive and symptom change.

Cognitive Behavioral Therapy Online for Adult Depression: A 10 Year Systematic Literature Review

Background:

Acceptance, adherence and efficacy aspects of Cognitive Behavioural Therapy (CBT) online have invited significant interest, especially in the context of “stepped care” models, which advocate progressive stages of intervention in addressing depression. Objectives: The current work aspires to comprehensively identify critical factors linked to the applicability of online CBT, in order to inform clinical practices and future research targeting depressive behaviors in early and middle adulthood.

Methods:

To serve these goals: a) the PRISMA systematic literature perspective is followed; b) a systematic search of online databases between 2008-2018 was undertaken and; c) a compositehybrid model, resulting from the integration of broadly adopted conceptualizations from the areas of psychological treatment and internet use behaviors, was combined with an interpretative phenomenological analysis perspective to organize the findings.

Results:

In total, 28 studies were included in the present review. Factors defining the efficacy, adherence and acceptability of online CBT targeting depression (during early and middle adulthood) were classified into parameters related to the individual receiver, the context and the CBT activities involved.

Conclusion:

Despite the cautiousness warranted by the limitations, as well as the diverge methodology of the reviewed studies, findings appear to favour the provision of brief, therapist supported, online CBT interventions, especially in addressing moderate depression during early and middle adulthood.

Exploring Mediators of a Guided Web-Based Self-Help Intervention for People With HIV and Depressive Symptoms: Randomized Controlled Trial

BACKGROUND

Cognitive behavioral therapy (CBT) is frequently used to treat depressive symptoms in people living with HIV. We developed an internet-based cognitive behavioral intervention for people with HIV and depressive symptoms, which was based on an effective self-help booklet. The Web-based intervention was previously found to be effective.

OBJECTIVE

The objective of this study was to investigate potential mediators of the Web-based intervention.

METHODS

This study was part of a randomized controlled trial, in which the intervention was compared with an attention-only waiting list control condition. Participants were 188 (97 in intervention group and 91 in control group) people with HIV and mild to moderate depressive symptoms recruited in HIV treatment centers in the Netherlands. A total of 22 participants (22/188, 11.7%) in the study were female and 166 (166/188, 88.3%) were male. The average age of the participants was 46.30 years (SD 10.63). The intervention comprised Web-based self-help CBT for 8 weeks, 1 to 2 hours a week, including minimal telephone support from a coach. The participants received Web-based questionnaires at pretest, 3 times during the intervention/or waiting period, and post intervention. The outcome was depressive symptoms. Factors tested as potential mediators were changes in behavioral activation, relaxation, the cognitive coping strategies catastrophizing and positive refocusing, goal re-engagement, and coping self-efficacy.

RESULTS

Using multilevel structural equation modeling, changes in behavioral activation (P=.006) and goal re-engagement (P=.009) were found to be significant mediators of the intervention effect. The mediation effect seemed to occur between weeks 3 and 5 for behavioral activation and weeks 1 and 3 for goal re-engagement. Using (bivariate) autoregressive latent trajectory analysis, we found a return effect (from the dependent variable to the mediator) for goal re-engagement but not for behavioral activation, which suggested that the mediation effect of changes in behavioral activation was stronger than that in goal re-engagement.

CONCLUSIONS

The results suggest that changes in behavioral activation and goal re-engagement may mediate the effect of the Web-based intervention for people with HIV and depressive symptoms. The results may lead to possible mechanisms of change of the intervention and improvement of therapy outcomes.

TRIAL REGISTRATION

Netherlands Trial Register NTR5407; https://www.trialregister.nl/trial/5298.

Mediation analyses of Internet-facilitated cognitive behavioral intervention for maternal depression

This study evaluated the putative mediating mechanisms of an Internet-facilitated cognitive-behavioral therapy (CBT) intervention for depression tailored to economically disadvantaged mothers of preschool-age children. The CBT mediators were tested across two previously published randomized controlled trials which included the same measures of behavioral activation, negative thinking, and savoring of positive events. Trial 1 included 70 mothers with elevated depressive symptoms who were randomized to either the eight-session, Internet-facilitated intervention (Mom-Net) or to treatment as usual. Trial 2 included 266 mothers with elevated depressive symptoms who were randomized to either Mom-Net or to a motivational interviewing and referral to services condition. Simple mediation models tested each putative mediator independently followed by tests of multiple mediation that simultaneously included all three mediators in the model to assess the salient contributions of each mediator. The pattern of results for the mediating effects were systematically replicated across the two trials and suggest that behavioral activation and negative thinking are salient mediators of the Mom-Net intervention; significant mediating effects for savoring were obtained only in the simple mediation models and were not obtained in the multiple mediation models.

Session-specific effects of the Metacognitive Training for Obsessive-Compulsive Disorder (MCT-OCD)

Objective: Most studies focus on overall treatment effects by assessing symptom severity before and after treatment, but few investigate session-specific effects of an intervention. The aim of the present study was to elucidate session-specific effects of a group therapy for obsessive-compulsive disorder (OCD) that targets cognitive biases known as the Metacognitive Training for OCD (MCT-OCD).Method: In an uncontrolled pilot trial, 44 inpatients with OCD participated in the MCT-OCD once a week over four weeks. Before and after each session, patients answered questionnaires on thought monitoring, control of thoughts, obsessions, compulsions, and mood.Results: Primary analyses using linear mixed-effect models showed that the module on control of thoughts (within-session effect) significantly reduced patients' control of thoughts. Exploratory analyses displayed an improvement in thought monitoring, control of thoughts, obsessions, and compulsions over the treatment period. Control of thoughts decreaed after the module on biased attention/biased cognitive networks and compulsions reduced one week after the module on overestimation of threat/responsibility (between-session effect). More compulsions were reported one week after the module on thought-action fusion/control of thoughts.Conclusions: Certain MCT-OCD modules seemed to improve specific cognitive biases that might in turn act as mechanisms of change. The results are being used to revise the MCT-OCD.

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.

The Assessment and Modeling of Perceptual Control: A Transformation in Research Methodology to Address the Replication Crisis

Replication in the behavioral sciences is a matter of considerable debate. We describe a series of fundamental interrelated conceptual and methodological issues with current research that undermine replication and we explain how they could be addressed. Conceptually, we need a shift (a) from verbally described theories to mathematically specified theories, (b) from lineal stimulus-cognition-response theories to closed-loop theories that model behavior as feeding back to sensory input via the environment, and (c) from theories that “chunk” responses to theories that acknowledge the continuous, dynamic nature of behavior. A closely related shift in methodology would involve studies that attempt to model each individual's performance as a continuous and dynamic activity within a closed-loop process. We explain how this shift can be made within a single framework—perceptual control theory (PCT)—that regards behavior as the control of perceptual input. We report evidence of multiple replication using this approach within visual tracking, and go on to demonstrate in practical research terms how the same overarching principle can guide research across diverse domains of psychology and the behavioral sciences, promoting their coherent integration. We describe ways to address current challenges to this approach and provide recommendations for how researchers can manage the transition.

A Randomized Controlled Trial Comparing the Attention Training Technique and Mindful Self-Compassion for Students With Symptoms of Depression and Anxiety

The Attention Training Technique (ATT) and Mindful Self-Compassion (MSC) are two promising psychological interventions. ATT is a 12-min auditory exercise designed to strengthen attentional control and promote external focus of attention, while MSC uses guided meditation and exercises designed to promote self-compassion. In this randomized controlled trial (RCT), a three-session intervention trial was conducted in which university students were randomly assigned to either an ATT-group (n = 40) or a MSC-group (n = 41). The students were not assessed with diagnostic interviews but had self-reported symptoms of depression, anxiety, or stress. Participants listened to audiotapes of ATT or MSC before discussing in groups how to apply these principles for their everyday struggles. Participants also listened to audiotapes of ATT and MSC as homework between sessions. Participants in both groups showed significant reductions in symptoms of anxiety and depression accompanied by significant increases in mindfulness, self-compassion, and attention flexibility post-intervention. These results were maintained at 6-month follow-up. Improvement in attention flexibility was the only significant unique predictor of treatment response. The study supports the use of both ATT and MSC for students with symptoms of depression and anxiety. Further, it suggests that symptom improvement is related to changes in attention flexibility across both theoretical frameworks. Future studies should focus on how to strengthen the ability for attention flexibility to optimize treatment for emotional disorder.

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.

Efficacy of Guided iCBT for Depression and Mediation of Change by Cognitive Skill Acquisition

Guided internet CBT (iCBT) is a promising treatment for depression; however, it is less well known through what mechanisms iCBT works. Two possible mediators of change are the acquisition of cognitive skills and increases in behavioral activation. We report results of an 8-week waitlist controlled trial of guided iCBT, and test whether early change in cognitive skills or behavioral activation mediated subsequent change in depression. The sample was 89 individuals randomized to guided iCBT (n = 59) or waitlist (n = 30). Participants were 75% female, 72% Caucasian, and 33 years old on average. The PHQ9 was the primary outcome measure. Mediators were the Competencies of Cognitive Therapy Scale-Self Report and the Behavioral Activation Scale for Depression-Short Form. Treatment was Beating the Blues plus manualized coaching. Outcomes were analyzed using linear mixed models, and mediation with a bootstrap resampling approach. The iCBT group was superior to waitlist, with large effect sizes at posttreatment (Hedges' g = 1.45). Dropout of iCBT was 29% versus 10% for waitlist. In the mediation analyses, the acquisition of cognitive skills mediated subsequent depression change (indirect effect = -.61, 95% bootstrapped biased corrected CI: -1.47, -0.09), but increases in behavioral activation did not. iCBT is an effective treatment for depression, but dropout rates remain high. Change in iCBT appears to be mediated by improvements in the use of cognitive skills, such as critically evaluating and restructuring negative thoughts.

The development of a change model of "exits" during cognitive analytic therapy for the treatment of depression

OBJECTIVES

"Exits" in cognitive analytic therapy (CAT) are methods that change unhelpful patterns or roles during the final "revision" phase of the therapy. How exits are conceived and achieved is currently poorly understood. This study focussed on the revision stage to explore and define how change is accomplished in CAT.

METHODS

Qualitative content analysis studied transcripts of sessions 6 and 7 of a protocol delivered 8-session CAT treatment for depression. Eight participants met the study inclusion criteria, and therefore, 16 sessions were analysed.

RESULTS

The exit model developed contained 3 distinct (but interacting) phases: (a) developing an observing self via therapist input or client self-reflection, (b) breaking out of old patterns by creating new roles and procedures, and (c) utilisation of a range of methods to support and maintain change. Levels of interrater reliability for the exit categories that formed the model were good.

CONCLUSIONS

The revision stage of CAT emerged as a complex and dynamic process involving 3 interacting stages. Further research is recommended to understand how exits relate to durability of change and whether change processes differ according to presenting problem.

KEY PRACTITIONER MESSAGES

Exit work in cognitive analytic therapy is a dynamic process that requires progression through stages of insight, active change, and consolidation. Development of an "observing self" is an important foundation stone for change, and cognitive analytic therapists need to work within the client's zone of proximal development. A number of aspects appear important in facilitating change, such as attending to the process and feelings generated by change talk.

Mechanisms of change in psychotherapy for depression: An empirical update and evaluation of research aimed at identifying psychological mediators

We present a systematic empirical update and critical evaluation of the current status of research aimed at identifying a variety of psychological mediators in various forms of psychotherapy for depression. We summarize study characteristics and results of 35 relevant studies, and discuss the extent to which these studies meet several important requirements for mechanism research. Our review indicates that in spite of increased attention for the topic, advances in theoretical consensus about necessities for mechanism research, and sophistication of study designs, research in this field is still heterogeneous and unsatisfactory in methodological respect. Probably the biggest challenge in the field is demonstrating the causal relation between change in the mediator and change in depressive symptoms. The field would benefit from a further refinement of research methods to identify processes of therapeutic change. Recommendations for future research are discussed. However, even in the most optimal research designs, explaining psychotherapeutic change remains a challenge. Psychotherapy is a multi-dimensional phenomenon that might work through interplay of multiple mechanisms at several levels. As a result, it might be too complex to be explained in relatively simple causal models of psychological change.