Are Internet- and mobile-based interventions effective in adults with diagnosed panic disorder and/or agoraphobia? A systematic review and meta-analysis

The role of self-efficacy in internet-based interventions for mental health: A systematic review and meta-analysis

Introduction

Internet-based interventions (IBI) increase access to evidence-based treatments for mental disorders, but knowledge of their mechanisms of change is limited. Self-efficacy, a key factor in psychotherapy, is especially relevant in IBI due to its self-help focus. We investigated self-efficacy and related constructs as outcomes, predictors/moderators, and mediators in randomized controlled trials.

Methods

A systematic search was conducted across PsycINFO, PubMed, CINAHL, and Web of Science. Two reviewers selected studies, extracted data, and assessed bias. Effects were quantified using random effect models and supplemented by narrative syntheses and box score visualizations.

Results

70 studies (N = 17,407 participants) were included. IBI showed moderate effects on self-efficacy in within (d = 0.47) and between (d = 0.46) comparisons, with guided interventions having the largest effect (d = 0.66). Findings on self-efficacy as a predictor/moderator were mixed, though some studies suggested individuals with lower self-efficacy benefit more. Self-efficacy emerged as a mediator through which IBI affected treatment outcomes.

Conclusion

Self-efficacy appears influential in IBI efficacy and may itself be a valuable treatment target. However, mixed results and methodological limitations in mediator studies highlight the need for further research, particularly on long-term effects.

App-Based Psychotherapy of Panic Disorder With Self-Guided Exposure in Virtual Reality—A Randomized Controlled Trial

BACKGROUND

Patients with panic disorder often suffer from tempo rary unavailability of care. The smartphone app Invirto (IVT) provides digital treatment for panic disorder comprising self-guided exposure in virtual reality. The aim of this trial was to assess the efficacy of Invirto.

METHODS

In a randomized, controlled, non-blinded trial, IVT was compared with care as usual (CAU) in patients with panic disorder (preregistration: DRKS00027585). The endpoints were assessed online before treatment (t0) and at 3 months (t1). The primary endpoint was the change in symptoms of anxiety, as measured with the Beck Anxiety Inventory (BAI), between the groups. The secondary endpoints were the patients' scores on the following assessment instruments, all in their German versions: the Panic and Agoraphobia Scale (PAS), the Beck Depression Inventory (BDI-II), a questionnaire on patient satisfaction (Client Satisfaction Questionnaire, CSQ-8), the Acceptance and Action Questionnaire (AAQ-II), and quality of life as a global item in the World Health Organization Quality of Life Questionnaire (WHOQOL-BREF).

RESULTS

One hundred twenty-four participants were included. The intention-to-treat analysis revealed greater improvement with IVT than with CAU with respect to both the primary endpoint (BAI, d = -0.46; 95% confidence interval [-0.87; -0.04]) and the secondary endpoints (PAS, d = -0.63 [-1.05; -0.22]; BDI-II, d = -0.44 [-0.86; -0.02]; AAQ-II, d = -0.42 [-0.84; -0.01]), except for WHOQOL-BREF (p = 0.216).

CONCLUSION

A digital treatment with virtual exposure can lessen anxiety, panic, and depressive symptoms and improve mental flexibility. In further studies, IVT should be compared with an active control group.

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.

Easing Panic: The Effect of an Online Psychoeducational Program on Panic Symptoms, Anxiety, and Quality of Life Among People Experiencing Panic Attacks

Panic attacks (PAs) are intense episodes of anxiety with severe physical symptoms that can impair an individual's social and occupational functions. Psychoeducation, a structured educational intervention, aims to improve various health aspects, including mental disorders. Delivering psychoeducation via the Internet can overcome barriers to accessing mental health treatment. This study examined the effectiveness of online psychoeducation on panic symptoms, anxiety, and quality of life (QOL) among people experiencing PAs. In this quasi-experimental design, 157 participants with PAs were recruited, and 136 eligible participants were allocated to treatment and control groups. The treatment group received an eight-session online psychoeducational program over 8 weeks, while the control group received reading materials. Outcome variables, including panic symptoms, anxiety, and QOL, were measured at baseline, 1-week post-intervention, and at 8-week follow-up using the Panic Disorder Dimensional (PD-D) scale, the Generalized Anxiety Disorder (GAD-7) scale, and the World Health Organization Quality of Life-BREF (WHOQOL-BREF), respectively. In the treatment group, the split-plot ANOVA showed a significant reduction in panic symptoms [F(1, 98) = 18.86, p < 0.01] and anxiety [F(1, 98) = 18.241, p < 0.01] compared to the control group. However, the intervention did not significantly affect QOL [F(1, 98) = 0.278, MSE = 153.007, p > 0.05]. The online psychoeducational program effectively reduced panic symptoms and anxiety levels but did not significantly impact QOL. Internet-based interventions, including psychoeducation, can improve access to mental health treatment, potentially reducing the treatment gap and enhancing overall mental health outcomes.

Online acceptance and commitment therapy (iACT) for adults with persistent physical symptoms - 3-month follow-up study of a randomized controlled trial

OBJECTIVE

Persistent physical symptoms (PPS) represent a major health problem affecting daily functioning. This RCT aimed to examine whether a guided Internet-based treatment based on acceptance and commitment therapy (ACT) provided additional benefits compared to Treatment as Usual (TAU) in reducing somatic complaints and psychological distress in adults with PPS.

METHODS

A total of 103 adults with PPS related to indoor environments, chronic fatigue or both conditions were assigned to receive either either a 14-week intervention (video-based case conceptualization + Internet-based ACT) combined with TAU (iACT + TAU; n = 50) or TAU alone (n = 53). Somatic symptoms, depression, anxiety, insomnia, and psychological flexibility were assessed from pre-intervention to a 3-month follow-up. Additionally, the association between changes in psychological flexibility from pre- to post-intervention and changes in symptoms from pre to 3-month follow-up was explored. Analyses were conducted using a multigroup method with full information maximum likelihood estimator.

RESULTS

The results revealed a significant interaction effect, indicating reductions in somatic symptoms and symptoms of depression and anxiety with moderate to large between-group effects (d = 0.71-1.09). No significant interaction effect was observed in insomnia and measures of psychological flexibility.

CONCLUSION

Internet-based ACT, when combined with Treatment as Usual, demonstrated efficacy for individuals with PPS associated with indoor environments and chronic fatigue. These findings are pertinent for primary healthcare providers, suggesting that the current treatment model could serve as a low-threshold first-line treatment option.

THE CLINICAL TRIAL REGISTRATION NUMBER

NCT04532827.

Assessing the effectiveness of internet-based interventions for mental health outcomes: an umbrella review

Internet-based interventions (IBIs) for behavioural health have been prevalent for over two decades, and a growing proportion of individuals with mental health concerns prefer these emerging digital alternatives. However, the effectiveness and acceptability of IBIs for various mental health disorders continue to be subject to scholarly debate. We performed an umbrella review of meta-analyses (MAs), conducting literature searches in PubMed, Web of Science, Embase, Cochrane and Ovid Medline from their inception to 17 January 2023. A total of 87 MAs, reporting on 1683 randomised controlled trials and 295 589 patients, were included. The results indicated that IBIs had a moderate effect on anxiety disorder (standardised mean difference (SMD)=0.53, 95% CI 0.44 to 0.62) and post-traumatic stress disorder (PTSD) (SMD=0.63, 95% CI 0.38 to 0.89). In contrast, the efficacy on depression (SMD=0.45, 95% CI 0.39 to 0.52), addiction (SMD=0.23, 95% CI 0.16 to 0.31), suicidal ideation (SMD=0.23, 95% CI 0.16 to 0.30), stress (SMD=0.41, 95% CI 0.33 to 0.48) and obsessive-compulsive disorder (SMD=0.47, 95% CI 0.22 to 0.73) was relatively small. However, no significant effects were observed for personality disorders (SMD=0.07, 95% CI -0.13 to 0.26). Our findings suggest a significant association between IBIs and improved mental health outcomes, with particular effectiveness noted in treating anxiety disorders and PTSD. However, it is noteworthy that the effectiveness of IBIs was impacted by high dropout rates during treatment. Furthermore, our results indicated that guided IBIs proved to be more effective than unguided ones, playing a positive role in reducing dropout rates and enhancing patient adherence rates. PROSPERO registration number: CRD42023417366.

Clinical and cognitive insight in panic disorder: phenomenology and treatment effects in internet cognitive behavior therapy

Clinical observations suggest that individuals with panic disorder (PD) vary in their beliefs about the causes of their panic attacks. Some attribute these attacks to psychological factors, while others to physiological or medical factors. These beliefs also extend to whether individuals perceive panic attacks as dangerous. In other areas of psychiatric nosology, these phenomena are commonly called clinical insight (recognition of disorder and the need for treatment) and cognitive insight (the ability to reflect on one's beliefs). Despite its importance, limited research exists on insight in PD and its relation to symptoms and treatment outcomes. This study examines clinical and cognitive insight in 83 patients with PD who received internet-based cognitive behavioral therapy, investigating their relationship with symptoms, treatment outcomes, and changes in insight. We assessed patients using interview and self-report measures of insight and symptoms. Clinical and cognitive insight were correlated and both constructs improved significantly during treatment. Good clinical insight pretreatment was positively correlated with more severe pretreatment symptoms. Pretreatment clinical and cognitive insight were not correlated with symptom change or attrition. Greater change in clinical and cognitive insight was related to greater change in symptoms. The findings highlight the significance of clinical and cognitive insight in PD, and the importance of distinguishing between them. This suggests the need to develop interventions according to patients' level of insight, particularly focusing on those lacking insight. Further research is essential to advance our understanding of the relationship between insight and the phenomenology and treatment of PD.

Internet-Based Cognitive-Behavioral Therapy for Individuals Experiencing Panic Attacks: A Scoping Literature Review

Panic attacks (PAs) are prevalent and highly comorbid with various physical and psychological disorders. Cognitive-behavioral therapy (CBT) is a well-established psychosocial intervention. Internet-delivered CBT (ICBT) presents a promising avenue to overcome barriers and provide evidence-based support to those in need. The current scoping review aimed to systematically map the existing literature and identify knowledge gaps regarding the impact of ICBT on outcome measures for individuals experiencing PAs. The PRISMA guidelines for scoping reviews were used. A total of 3,044 records were retrieved, and 18 studies from 2013 to 2023 were ultimately included in the analysis. ICBT demonstrated effectiveness as a psychosocial intervention for improving panic symptoms and anxiety in individuals with PAs. However, the impact of ICBT on quality of life (QOL) remains inconclusive. All studies included in this review focused on assessing the severity of panic symptoms, with limited emphasis on measuring QOL. This scoping review holds significant implications for research and practice. However, further addressing the research needs identified in this review will enhance our understanding and improve treatment outcomes for PAs. [Journal of Psychosocial Nursing and Mental Health Services, 62(4), 9-15.].

Efficacy of internet-based psychological interventions for pathological health anxiety: A three-level meta-analysis of randomized controlled trials

OBJECTIVE

This study aimed to provide a comprehensive summary and synthesis of available evidence on the efficacy of internet-based psychological interventions for pathological health anxiety, as well as to examine the variables that possibly moderate intervention effects.

METHOD

Four databases were searched for the literature up to October 2023. A three-level random-effects model was used to estimate the pooled effect size, with Hedge's g as the measure.

RESULTS

We extracted 28 effect sizes from nine eligible randomized controlled trials with 1079 participants. The results showed that internet-based psychological interventions had a moderate to large between-group effect on health anxiety (g = 0.70) that was significant both at post-intervention (g = 0.74) and follow-up (g = 0.64). Furthermore, these interventions were significantly more effective than passive control conditions including waitlist, usual care, and placebo at post-treatment (g = 1.07), but had effects comparable to active control groups at both post-intervention and follow-up.

CONCLUSIONS

Internet-based psychological interventions are an effective way to alleviate pathological health anxiety. We recommend that these interventions be more widely implemented in routine care settings to ensure easy accessibility for patients with health anxiety.

Internet-delivered cognitive behaviour therapy for affective disorders, anxiety disorders and somatic conditions: An updated systematic umbrella review

Background

Internet-delivered cognitive behaviour therapy (ICBT), which can involve guidance from a clinician, continues to be a way to deliver psychological treatments. A previous umbrella review identified moderate-to-large effect sizes favouring ICBT compared to control conditions when treating major depression and anxiety disorders. Given the rapid developments in the field, an updated umbrella review of available meta-analyses can show other conditions and subpopulations for which ICBT is effective. The aim of the study was to provide an expanded overview of the efficacy of ICBT for a broader range of adult psychiatric and somatic conditions.

Methods

We conducted an updated search of the literature since the publication of the previous umbrella review back in 2019 and up until March 2024. Five different search engines were used (Medline (OVID), Scopus, Web of Science, Cochrane library and CINAHL). The search was expanded to include additional psychiatric conditions (e.g., suicidal ideation) and somatic conditions (e.g., tinnitus and chronic pain).

Results

Of the 6509 identified articles, 39 meta-analyses met the inclusion criteria. In these meta-analyses 19 unique outcomes were represented. The most common outcome was symptoms of major depressive disorder, followed by symptoms of anxiety. Effect sizes for the comparisons against control conditions ranged between small (e.g., SMD = 0.10 for stress in employees) to large (e.g., SMD = 1.20 for depressive symptoms among older adults).

Conclusions

ICBT can generally reduce symptoms of a wide range of conditions including both psychiatric and somatic conditions, as well as other mental health problems. This updated review of available meta-analyses also indicated that ICBT has been successful in treating symptoms in different subpopulations such as older adults and students. However, some knowledge gaps remain, including the use of ICBT for psychotic disorders, and the quality of the available meta-analyses' points to a need for more stringent methodological procedures.

Finding the Best Match - a Case Study on the (Text-)Feature and Model Choice in Digital Mental Health Interventions

With the need for psychological help long exceeding the supply, finding ways of scaling, and better allocating mental health support is a necessity. This paper contributes by investigating how to best predict intervention dropout and failure to allow for a need-based adaptation of treatment. We systematically compare the predictive power of different text representation methods (metadata, TF-IDF, sentiment and topic analysis, and word embeddings) in combination with supplementary numerical inputs (socio-demographic, evaluation, and closed-question data). Additionally, we address the research gap of which ML model types - ranging from linear to sophisticated deep learning models - are best suited for different features and outcome variables. To this end, we analyze nearly 16.000 open-text answers from 849 German-speaking users in a Digital Mental Health Intervention (DMHI) for stress. Our research proves that - contrary to previous findings - there is great promise in using neural network approaches on DMHI text data. We propose a task-specific LSTM-based model architecture to tackle the challenge of long input sequences and thereby demonstrate the potential of word embeddings (AUC scores of up to 0.7) for predictions in DMHIs. Despite the relatively small data set, sequential deep learning models, on average, outperform simpler features such as metadata and bag-of-words approaches when predicting dropout. The conclusion is that user-generated text of the first two sessions carries predictive power regarding patients' dropout and intervention failure risk. Furthermore, the match between the sophistication of features and models needs to be closely considered to optimize results, and additional non-text features increase prediction results.

Supplementary Information

The online version contains supplementary material available at 10.1007/s41666-023-00148-z.

[Prescription-based digital interventions in psychiatry : Methodology, possible areas of application, and legal framework of digital tools for panic disorder and agoraphobia available in Germany]

In 2020, prescription-based digital interventions were introduced in Germany. These digital courses have to meet safety and data privacy requirements and must prove positive effects on symptoms and/or other outcome parameters. Interventions are available for a range of mental disorders. For patients with panic disorder and agoraphobia, several applications based on cognitive behavioral therapy have been developed. Within these digital courses, patients can typically access psychoeducational content and practice psychotherapeutic strategies such as exposure therapy. Recent meta-analyses prove the effectiveness of such interventions when compared with waitlist control conditions. According to current German guidelines, digital courses can be used to prepare psychotherapy and as an accompanying tool during psychotherapy. In Germany, physicians and psychotherapist can prescribe digital interventions for outpatients and as a post-hospital treatment..

Psychosocial treatment for panic disorder: An umbrella review of systematic reviews and meta-analyses

BACKGROUND

Panic disorder is a common and disabling psychiatric condition marked by sudden onset of physiological sensations that are appraised as dangerous. A number of studies and reviews have examined the efficacy of psychosocial treatments for PD; however, there is a lack of overarching reports that discuss the strength of evidence for the different psychosocial treatments for PD. This umbrella review provides an overview of systematic reviews and meta-analyses on psychosocial treatments for PD.

METHODS

A systematic search and review of the literature was conducted according to PRISMA guidelines.

RESULTS

A total of 38 reviews (31 meta-analyses and 7 systematic reviews) were included in the umbrella review. Most of the 38 reviews were focused on the use of CBT, both in-person and internet-based, to treat PD among adults, generally finding it to be an efficacious treatment compared to control conditions. A limited number of the 38 reviews included other age ranges or examined other forms of psychosocial treatments. The methodological quality of most included reviews was rated as critically low according to the AMSTAR-2 rating system.

CONCLUSIONS

Future reviews should focus on improving their methodological quality. Although the included reviews supported CBT as an efficacious treatment for reducing panic symptoms among adults, future research could focus on how CBT compares to other psychosocial treatments and the efficacy of CBT for PD among other populations (e.g., children and adolescents) and among diverse cultural groups.

Unveiling mechanisms of change in digital interventions for depression: Study protocol for a systematic review and individual participant data meta-analysis

INTRODUCTION

The efficacy and effectiveness of digital interventions for depression are both well-established. However, precise effect size estimates for mediators transmitting the effects of digital interventions are not available; and integrative insights on the specific mechanisms of change in internet- and mobile-based interventions (IMIs)-as related to key features like delivery type, accompanying support and theoretical foundation-are largely pending.

OBJECTIVE

We will conduct a systematic review and individual participant data meta-analysis (IPD-MA) evaluating the mediators associated with therapeutic change in various IMIs for depression in adults.

METHODS

We will use three electronic databases (i.e., Embase, Medline/PubMed, PsycINFO) as well as an already established database of IPD to identify relevant published and unpublished studies. We will include (1) randomized controlled trials that examine (2) mediators of (3) guided and unguided (4) IMIs with (5) various theoretical orientations for (6) adults with (7) clinically relevant symptoms of depression (8) compared to an active or passive control condition (9) with depression symptom severity as primary outcome. Study selection, data extraction, as well as quality and risk of bias (RoB) assessment will be done independently by two reviewers. Corresponding authors of eligible primary studies will be invited to share their IPD for this meta-analytic study. In a 1-stage IPD-MA, mediation analyses (e.g., on potential mediators like self-efficacy, emotion regulation or problem solving) will be performed using a multilevel structural equation modeling approach within a random-effects framework. Indirect effects will be estimated, with multiple imputation for missing data; the overall model fit will be evaluated and statistical heterogeneity will be assessed. Furthermore, we will investigate if indirect effects are moderated by different variables on participant- (e.g., age, sex/gender, symptom severity), study- (e.g., quality, studies evaluating the temporal ordering of changes in mediators and outcomes), and intervention-level (e.g., theoretical foundation, delivery type, guidance).

DISCUSSION

This systematic review and IPD-MA will generate comprehensive information on the differential strength of mediators and associated therapeutic processes in digital interventions for depression. The findings might contribute to the empirically-informed advancement of psychotherapeutic interventions, leading to more effective interventions and improved treatment outcomes in digital mental health. Besides, with our novel approach to mediation analyses with IPD-MA, we might also add to a methodological progression of evidence-synthesis in psychotherapy process research.

STUDY REGISTRATION WITH OPEN SCIENCE FRAMEWORK OSF

https://osf.io/md7pq/.

Are guided internet-based interventions for the indicated prevention of depression in green professions effective in the long run? Longitudinal analysis of the 6- and 12-month follow-up of a pragmatic randomized controlled trial (PROD-A)

OBJECTIVE

Evidence of long-term stability for positive mental health effects of internet-based interventions (IBIs) for depression prevention is still scarce. We evaluate long-term effectiveness of a depression prevention program in green professions (i.e. agriculture, horticulture, forestry).

METHODS

This pragmatic RCT (n = 360) compares a tailored IBI program to enhanced treatment as usual (TAU+) in green professions with at least subthreshold depression (PHQ ≥ 5). Intervention group (IG) received one of six IBIs shown previously to efficaciously reduce depressive symptoms. We report 6- and 12-month follow-up measures for depression, mental health and intervention-related outcomes. Intention-to-treat and per-protocol regression analyses were conducted for each measurement point and complemented by latent growth modeling.

RESULTS

After 6 months, depression severity (β = -0.30, 95%-CI: -0.52; -0.07), insomnia (β = -0.22, 95%-CI: -0.41; -0.02), pain-associated disability (β = -0.26, 95%-CI: -0.48; -0.04) and quality of life (β = 0.29, 95%-CI: 0.13; 0.45) in IG were superior to TAU+. Onset of possible depression was not reduced. After 12 months, no intervention effects were found. Longitudinal modeling confirmed group effects attenuating over 12 months for most outcomes. After 12 months, 55.56% of IG had completed at least 80% of their IBI.

CONCLUSIONS

Stability of intervention effects along with intervention adherence was restricted. Measures enhancing long-term effectiveness of IBIs for depression health promotion are indicated in green professions.

TRIAL REGISTRATION

German Clinical Trial Registration: DRKS00014000. Registered: 09 April 2018.

eSano - An eHealth Platform for Internet- and Mobile-based Interventions

The prevention and treatment of mental disorders and chronic somatic diseases is a core challenge for health care systems of the 21th century. Mental- and behavioral health interventions provide the means for lowering the public health burden. However, structural deficits, reluctance to use existing services, perceived stigma and further personal and environmental reasons restrict the uptake of these evidence-based approaches. Internet- and mobile-based interventions (IMIs) might overcome some of the limitations of on-site interventions by providing an anonymous, scalable, time- and location-independent, yet evidence-based approach. In order to implement digital mental and behavioral health concepts across the life-span into practice, a technical solution to support the design, creation, and execution of IMIs is needed. However, there are various conceptual, technical as well as legal challenges to implementing a corresponding software solution in the healthcare domain. Therefore, the work at hand (1) identifies these challenges and derives a number of respective requirements, (2) introduces the eHealth platform eSano, a software project developed by an interdisciplinary team of computer scientists, psychologists, therapists, and other domain experts, with the aim to serve as a flexible basis for mental and behavioral research and health care, and (3) provides technical insights into the developed platform and its approach to address the aforementioned requirements.

Therapeutic processes in digital interventions for anxiety: A systematic review and meta-analytic structural equation modeling of randomized controlled trials

While the efficacy of Internet- and mobile-based interventions (IMIs) for treating anxiety disorders is well established, there is no comprehensive overview about the underlying therapeutic processes so far. Thus, this systematic review and meta-analysis evaluated research on mediators and mechanisms of change in IMIs for adult anxiety disorders (PROSPERO: CRD42020185545). A systematic literature search was performed in five databases (i.e., CENTRAL, Embase, MEDLINE, PsycINFO and ClinicalTrials.gov). Two reviewers independently screened studies for inclusion, assessed the risk of bias and adherence to quality criteria for process research. Overall, 26 studies (N = 6042) investigating 64 mediators were included. Samples consisted predominantly of participants with clinically relevant symptoms of generalized anxiety disorder and severe health anxiety, as well as of participants with non-clinically relevant anxiety symptoms. The largest group of examined mediators (45%) were cognitive variables, evincing also the second highest proportion of significance (19/29); followed in numbers by skills (examined: 22%; significant: 10/14) and a wide range of other (19%; 7/12), emotional/affective (11%; 2/7) and behavioral mediators (3%; 1/2). Meta-analytical synthesis of mediators, limited by a small number of eligible studies, was conducted by deploying a two-stage structural equation modeling approach, resulting in a significant indirect effect for negative thinking (k = 3 studies) and non-significant indirect effects for combined cognitive variables, both in clinical (k = 5) and non-clinical samples (k = 3). The findings of this review might further the understanding on presumed change mechanisms in IMIs for anxiety, informing intervention development and the concurrent optimization of outcomes. Furthermore, by reviewing eligible mediation studies, we discuss methodological implications and recommendations for future process research, striving for causally robust findings. Future studies should investigate a broader range of variables as potential mediators, as well as to develop and apply original (digital) process and engagement measures to gather qualitative and high-resolution data on therapeutic processes.

Network pharmacology study on the mechanism of Qiangzhifang in the treatment of panic disorder

Background

Panic disorder (PD) is a kind of mental illness characterized by the symptom of recurring panic attacks. Qiangzhifang (QZF) is a novel decoction developed by Professor Zhaojun Yan based on a unique system of syndrome differentiation and clinical experience. It has achieved remarkable results after long-term clinical practice, but its mechanism of action is still unclear. This study aims to use network pharmacology and molecular docking to explore the mechanism of QZF in the treatment of PD.

Methods

We used the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), a literature search, and Encyclopedia of Traditional Chinese Medicine (ETCM) to find active ingredients and targets of QZF. We searched for PD targets in GeneCards, Online Mendelian Inheritance in Man (OMIM), the Comparative Toxicogenomics Database (CTD), and DrugBank. We established a PD target database, constructed a protein-protein interaction (PPI) network, and performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis in order to screen possible pathways of action and analyze the mechanism.

Results

This study identified 84 effective components of QZF, 691 potential targets, 357 PD targets, and 97 intersectional targets. Enrichment analysis using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) showed that QZF was associated with 118 biological processes (BPs), 18 cellular components (CCs), 35 molecular functions (MFs) [false discovery rate (FDR) <0.01], and 62 pathways (FDR <0.01). QZF mainly acts on its targets AKT1, FOS, and APP through active ingredients such as quercetin, β-sitosterol, 4-(4'-hydroxybenzyloxy)benzyl methyl ether, harmine, 1,7-dimethoxyxanthone, and 1-hydroxy-3,7-dimethoxyxanthone to regulate serotonin, gamma-aminobutyric acid (GABA), cyclic adenosine monophosphate (cAMP), and other signal pathways to treat PD.

Conclusions

Through network pharmacology and molecular docking technology, we predicted the possible mechanism of QZF in the treatment of PD, revealed the interaction targets and potential value of QZF, and provided a basis for its clinical application.

Clinical and Cost-Effectiveness of PSYCHOnlineTHERAPY: Study Protocol of a Multicenter Blended Outpatient Psychotherapy Cluster Randomized Controlled Trial for Patients With Depressive and Anxiety Disorders

Introduction: Internet- and mobile-based interventions (IMIs) and their integration into routine psychotherapy (i.e., blended therapy) can offer a means of complementing psychotherapy in a flexible and resource optimized way. Objective: The present study will evaluate the non-inferiority, cost-effectiveness, and safety of two versions of integrated blended psychotherapy for depression and anxiety compared to standard cognitive behavioral therapy (CBT). Methods: A three-armed multicenter cluster-randomized controlled non-inferiority trial will be conducted comparing two implementations of blended psychotherapy (PSYCHOnlineTHERAPYfix/flex) compared to CBT. Seventy-five outpatient psychotherapists with a CBT-license will be randomized in a 1:1:1 ratio. Each of them is asked to include 12 patients on average with depressive or anxiety disorders resulting in a total sample size of N = 900. All patients receive up to a maximum of 16 psychotherapy sessions, either as routine CBT or alternating with Online self-help sessions (fix: 8/8; flex: 0-16). Assessments will be conducted at patient study inclusion (pre-treatment) and 6, 12, 18, and 24 weeks and 12 months post-inclusion. The primary outcome is depression and anxiety severity at 18 weeks post-inclusion (post-treatment) using the Patient Health Questionnaire Anxiety and Depression Scale. Secondary outcomes are depression and anxiety remission, treatment response, health-related quality of life, patient satisfaction, working alliance, psychotherapy adherence, and patient safety. Additionally, several potential moderators and mediators including patient characteristics and attitudes toward the interventions will be examined, complemented by ecological day-to-day digital behavior variables via passive smartphone sensing as part of an integrated smart-sensing sub-study. Data-analysis will be performed on an intention-to-treat basis with additional per-protocol analyses. In addition, cost-effectiveness and cost-utility analyses will be conducted from a societal and a public health care perspective. Additionally, qualitative interviews on acceptance, feasibility, and optimization potential will be conducted and analyzed. Discussion: PSYCHOnlineTHERAPY will provide evidence on blended psychotherapy in one of the largest ever conducted psychotherapy trials. If shown to be non-inferior and cost-effective, PSYCHOnlineTHERAPY has the potential to innovate psychotherapy in the near future by extending the ways of conducting psychotherapy. The rigorous health care services approach will facilitate a timely implementation of blended psychotherapy into standard care. Trial Registration: The trial is registered in the German Clinical Trials Register (DRKS00023973; date of registration: December 28th 2020).

Efficacy of digital health interventions in youth with chronic medical conditions: A meta-analysis

BACKGROUND

Digital health interventions might extend service provisions for youth with chronic medical conditions (CC) and comorbid mental health symptoms. We aimed to comprehensively evaluate the efficacy of Internet- and mobile-based interventions (IMIs) for different psychological and disease-related outcomes in children and adolescents with CC.

METHOD

Studies were identified by systematic searches in CENTRAL, Embase, MEDLINE/PubMed and PsycINFO, complemented by searches in reference lists of eligible studies and other reviews. We included studies, when they were randomized controlled trials (RCTs) comparing the efficacy of an IMI to control conditions in improving psychological and disease-related outcomes in youth (mean age ≤ 18 years) with CC. Study selection, data extraction and risk of bias assessment were conducted independently by two reviewers. Meta-analyses were performed within a random-effects model, and Hedges' g (with 95% confidence intervals) was calculated as effect size measure. Primary outcomes were comorbid mental health symptoms (i.e., depression, anxiety and stress), as well as quality of life and self-efficacy.

RESULTS

A total of 19 randomized controlled trials (2410 patients) were included in this meta-analysis. IMIs were associated with improvements in self-efficacy (g = 0.38; 95% CI, 0.15 to 0.61; I 2 = 0) and combined disease-related outcomes (g = -0.13; 95% CI, -0.25 to -0.01; I 2 = 21). Meta-analyses on other outcomes were non-significant, and some pre-planned analyses were not feasible because of a shortage of studies.

CONCLUSION

The available evidence on IMIs for improving mental and health-related outcomes in youth with CC is limited. Our findings point to a rather small benefit and limited efficacy. Future research is needed, to comprehensively assess the potential of IMIs to extend collaborative care, and to identify factors contributing to improved user-centered interventions with better treatment outcomes.

More Light? Opportunities and Pitfalls in Digitalized Psychotherapy Process Research

While the evidence on the effectiveness of different psychotherapies is often strong, it is not settled whereby and how these therapies work. Knowledge on the causal factors and change mechanisms is of high clinical and public relevance, as it contributes to the empirically informed advancement of psychotherapeutic interventions. Here, digitalized research approaches might possess the potential to generate new insights into human behavior change, contributing to augmented interventions and mental healthcare practices with better treatment outcomes. In this perspective article, we describe recent findings of research into change mechanisms that were only feasible with digital tools and outline important future directions for this rather novel branch of research. Furthermore, we indicate several challenges and pitfalls that are to be solved, in order to advance digitalized psychotherapy process research, both methodologically and technologically.

Correlates of Quality of Life in Anxiety Disorders: Review of Recent Research

PURPOSE OF REVIEW

Anxiety disorders are highly prevalent conditions that have a detrimental impact on quality of life (QOL), particularly when left untreated. In the present review, we summarize recent literature, published within the last 3 years, on QOL in anxiety disorders, with a focus on factors that may play a role in the relationship between anxiety and QOL.

RECENT FINDINGS

We organize our findings into four categories: (1) subjective distress, (2) behavioral responses, (3) functional impairment, and (4) clinical factors. Results indicate that greater anxiety symptom severity is linked with poorer QOL, and cognitive behavioral therapies for anxiety yield positive effects on QOL. Additional transdiagnostic mechanisms are highlighted, including anxiety sensitivity, distress tolerance, emotion regulation, and avoidant coping. We examine the role of functional impairment, and we discuss factors related to treatment, including comorbidity and longitudinal effects. We also consider early research from the COVID-19 pandemic. Understanding the underlying factors that contribute to QOL detriments provides important insight into the impact of anxiety disorders and identifies targets for enhancing QOL through treatment.

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.