Cognitive-Behavioral Therapy in the Digital Age: Presidential Address

The Prevalence and Incidence of Suicidal Thoughts and Behavior in a Smartphone-Delivered Treatment Trial for Body Dysmorphic Disorder: Cohort Study

Background

People with past suicidal thoughts and behavior (STB) are often excluded from digital mental health intervention (DMHI) treatment trials. This may perpetuate barriers to care and reduce treatment generalizability, especially in populations with elevated rates of STB, such as body dysmorphic disorder (BDD). We conducted a cohort study of randomized controlled trial (RCT) participants (N=80) who received a smartphone-based cognitive behavioral therapy (CBT) treatment for BDD that allowed for most forms of past STB, except for past-month active suicidal ideation.

Objective

This study had two objectives: (1) to characterize the sample's lifetime prevalence of STB and (2) to estimate and predict STB incidence during the trial.

Methods

We completed secondary analyses on data from an RCT of smartphone-delivered CBT for BDD. The primary outcomes consisted of STB severity and suicide attempt assessed at baseline with the Columbia-Suicide Severity Rating Scale (C-SSRS) and weekly during the trial via one item from the Quick Inventory of Depressive Symptomatology-Self Report (QIDS-SR item #12; 1043 observations). We computed descriptive statistics (n, %) and ran a series of bi- and multivariate linear regressions predicting STB incidence during the 3-month trial.

Results

At baseline, 40% of participants reported a lifetime history of active suicidal thoughts and 10% reported lifetime suicide attempts. During the 3-month trial, 42.5% reporting thinking about death or suicide via weekly assessment. No participants reported frequent or acute suicidal thoughts, plans, or attempts. Lifetime suicide attempt (odds ratio 11, 95% CI 2.14-59.14; P<.01) and lifetime severity of suicidal thoughts (odds ratio 1.76, 95% CI 1.21-2.77; P<.01) were significant bivariate predictors of death- or suicide-related thought incidence reported during the trial. Multivariate models including STB risk factor covariates (eg, age, and sexual orientation) modestly improved prediction of death- or suicide-related thoughts (eg, positive predictive value=0.91, negative predictive value=0.75, and area under the receiver operating characteristic curve=0.83).

Conclusions

Although some participants may think about death and suicide during a DMHI trial, it may be safe and feasible to include participants with most forms of past STB. Among other procedures, researchers should carefully select eligibility criteria, use frequent, ongoing, low-burden, and valid monitoring procedures, and implement risk mitigation protocols tailored to the presenting problem.

Exploring the Relevance of Perceived Barriers to Treatment in Adults With Body Dysmorphic Disorder Symptoms: Comparing Psychotherapy and Online Interventions

Although individuals facing Body Dysmorphic Disorder (BDD) endure considerable levels of distress, they often do not engage in empirically effective cognitive-behavioral therapy. Identified barriers to seeking treatment include logistical challenges, shame and stigmatization, and pessimistic expectations of mental health interventions associated with a lack of insight into having a psychological issue. This study investigates the relevance of these perceived treatment barriers for face-to-face therapy and for online interventions as a potentially accessible alternative or entry to traditional psychotherapy. Through an online survey involving 321 participants (comprising 239 with elevated BDD symptoms and 82 with self-reported probable BDD), we utilize the Barriers to Treatment Questionnaire to assess different perceived barriers. A comparative analysis is conducted to contrast the perceived relevance of barriers to psychotherapy with those reported for online interventions. As a result, perceived barriers to psychotherapy are most prominent in feelings of shame and fear of stigmatization, followed by logistical challenges and negative treatment expectations, and again followed by format-related concerns. Overall perceived barriers to online interventions are lower, though concerns related to the intervention format, such as data security concerns, become more pronounced. Notably, shame and stigmatization remain central factors in both contexts. When offering psychological help to individuals with BDD, the aspects of shame and negative attitudes toward seeking psychological help should be primarily addressed. Considering all their advantages, online interventions should continue to be utilized for BDD, to improve the treatment situation, but it should be noted that this treatment format is not without challenges.

Effectiveness of General Practitioner Referral Versus Self-Referral Pathways to Guided Internet-Delivered Cognitive Behavioral Therapy for Depression, Panic Disorder, and Social Anxiety Disorder: Naturalistic Study

Background

Therapist-guided, internet-delivered cognitive behavioral therapy (guided ICBT) appears to be efficacious for depression, panic disorder (PD), and social anxiety disorder (SAD) in routine care clinical settings. However, implementation of guided ICBT in specialist mental health services is limited partly due to low referral rates from general practitioners (GP), which may stem from lack of awareness, limited knowledge of its effectiveness, or negative attitudes toward the treatment format. In response, self-referral systems were introduced in mental health care about a decade ago to improve access to care, yet little is known about how referral pathways may affect treatment outcomes in guided ICBT.

Objective

This study aims to compare the overall treatment effectiveness of GP referral and self-referral to guided ICBT for patients with depression, PD, or SAD in a specialized routine care clinic. This study also explores if the treatment effectiveness varies between referral pathways and the respective diagnoses.

Methods

This naturalistic open effectiveness study compares treatment outcomes from pretreatment to posttreatment and from pretreatment to 6-month follow-up across 2 referral pathways. All patients underwent module-based guided ICBT lasting up to 14 weeks. The modules covered psychoeducation, working with negative or automatic thoughts, exposure training, and relapse prevention. Patients received weekly therapist guidance through asynchronous messaging, with therapists spending an average of 10-30 minutes per patient per week. Patients self-reported symptoms before, during, immediately after, and 6 months posttreatment. Level and change in symptom severity were measured across all diagnoses.

Results

In total, 460 patients met the inclusion criteria, of which 305 were GP-referred ("GP" group) and 155 were self-referred ("self" group). Across the total sample, about 60% were female, and patients had a mean age of 32 years and average duration of disorder of 10 years. We found no significant differences in pretreatment symptom levels between referral pathways and across the diagnoses. Estimated effect sizes based on linear mixed modeling showed large improvements from pretreatment to posttreatment and from pretreatment to follow-up across all diagnoses, with statistically significant differences between referral pathways (GP: 0.97-1.22 vs self: 1.34-1.58, P<.001-.002) and for the diagnoses separately: depression (GP: 0.86-1.26, self: 1.97-2.07, P<.001-.02), PD (GP: 1.32-1.60 vs self: 1.64-2.08, P=.06-.02) and SAD (GP: 0.80-0.99 vs self: 0.99-1.19, P=.18-.22).

Conclusions

Self-referral to guided ICBT for depression and PD appears to yield greater treatment outcomes compared to GP referrals. We found no difference in outcome between referral pathway for SAD. This study underscores the potential of self-referral pathways to enhance access to evidence-based psychological treatment, improve treatment outcomes, and promote sustained engagement in specialist mental health services. Future studies should examine the effect of the self-referral pathway when it is implemented on a larger scale.

The Effects of Online Cognitive Behavioral Therapy on Postpartum Depression: A Systematic Review and Meta-Analysis

BACKGROUND/OBJECTIVES

Postpartum depression seriously affects the safety and health of mothers and children. Online cognitive behavioral therapy is considered to be a promising treatment; however, whether it is effective at improving postpartum depression is inconsistent and the specific intervention measures are not the same. The objectives of this study were to comprehensively review the effects of online cognitive behavioral therapy on postpartum depression and further explore the specific intervention measures.

METHODS

A literature search was conducted using thirteen electronic databases and two clinical trial registries from the establishment of the databases to 31 December 2023. The study selection and data extraction were independently performed by two researchers. The latest Cochrane Risk of Bias tool was selected to evaluate the quality of the included studies. Data were analyzed using Review Manager 5.4, and the certainty of the evidence was evaluated using the online GRADEpro tool. Eighteen studies involving 3689 women were included.

RESULTS

The results showed that online cognitive behavioral therapy was effective at improving postpartum depression. A subgroup analysis showed that the duration of online cognitive behavioral therapy with total intervention was 9 weeks and above, the total intervention number was 12 times or fewer, and using a website or Zoom online conference room as the intervention platform could more significantly improve postpartum depression. In particular, providing professional guidance could be more effective.

CONCLUSIONS

In summary, online cognitive behavioral therapy was effective for postpartum depression. Furthermore, this study found out how specific intervention measures of online cognitive behavioral therapy could be more effective. Finally, nurses can participate in the therapy to improve access to evidence-based treatment.

Long-term outcomes of smartphone-delivered cognitive behavior therapy for body dysmorphic disorder: A one-year naturalistic follow-up

Background

Body dysmorphic disorder (BDD) is an often chronic and impairing psychiatric condition. Research shows that smartphone-delivered cognitive behavior therapy (CBT) with coaching may be a scalable and effective treatment for BDD. However, evidence for long-term gain maintenance is limited.

Objectives

The aim of the current study was to examine the long-term outcomes of a smartphone-based CBT for BDD.

Method

Adults with a primary diagnosis of BDD who completed a 12-week course of smartphone-delivered CBT with coach support were evaluated 3- and 12-months posttreatment. Symptom severity, remission and responder status were assessed with the clinician-rated Yale-Brown Obsessive-Compulsive Scale modified for BDD (BDD-YBOCS). Secondary outcomes were also evaluated and included BDD-related insight, depression, functioning and quality of life. Data were analyzed using four different approaches to missing data, with maximum likelihood estimation as the main approach.

Results

There was significant attrition from posttreatment (n = 57) to 3-month (n = 49) and 12-month (n = 33) follow-up. The mean BDD-YBOCS severity score remained stable during the follow-up period [Estimated Mean (SE) at posttreatment, 3-months, and 12-months = 18.7(1.1), 18.9(1.2) and 18.8(1.3), respectively]. The proportion of participants responding to treatment and in remission remained relatively unchanged as well (63 % responders and 46 % remitters at posttreatment, 54 % and 35 % at 3-month follow-up, and 61 % and 37 % at 12-month follow-up, respectively). Posttreatment gains in BDD-related insight, functioning, and quality of life were maintained; there were small increases in depression (ES = 0.36) from posttreatment to 12-month follow-up.

Conclusions

Improvements after coach-supported smartphone-based CBT for BDD are maintained one year after treatment.

Next-Generation Cognitive-Behavioral Therapy for Depression: Integrating Digital Tools, Teletherapy, and Personalization for Enhanced Mental Health Outcomes

Background and Objectives: This systematic review aims to present the latest developments in next-generation CBT interventions of digital support tools, teletherapies, and personalized treatment modules in enhancing accessibility, improving treatment adherence, and optimizing therapeutic outcomes for depression. Materials and Methods: This review analyzed 81 PRISMA-guided studies on the efficacy, feasibility, and applicability of NG-CBT approaches. Other important innovations include web-based interventions, AI-operated chatbots, and teletherapy platforms, each of which serves as a critical challenge in delivering mental health care. Key messages have emerged regarding technological readiness, patient engagement, and the changing role of therapists within the digital context of care. Results: Findings indicate that NG-CBT interventions improve treatment accessibility and engagement while maintaining clinical effectiveness. Personalized digital tools enhance adherence, and teletherapy platforms provide scalable and cost-effective alternatives to traditional therapy. Conclusions: Such developments promise great avenues for decreasing the global burden of depression and enhancing the quality of life through novel, accessible, and high-quality therapeutic approaches.

Randomized controlled study of a digital data driven intervention for depressive and generalized anxiety symptoms

As mental health disorders like Major Depressive Disorder and Generalized Anxiety Disorder rise globally, effective, scalable, and personalized treatments are urgently needed. This 16-week prospective, decentralized, randomized, waitlist-controlled study investigated the effectiveness of a digital data-driven therapeutic integrating wearable sensor data with a mobile app to deliver personalized CBT-based interventions for individuals with depressive and generalized anxiety symptoms. 200 adults were randomized to intervention or control groups, with 164 completing the study. The intervention group demonstrated significant reductions in depressive (mean change = -5.61, CI = -7.14, -4.08) and anxiety symptoms (mean change = -5.21, CI = -6.66, -3.76), compared to the control group, with medium-to-large effect sizes (r = 0.64 and r = 0.62, P < 0.001). Notably, these improvements were also observed in participants with clinically significant depression and anxiety, further reinforcing the potential of digital therapeutics in targeting more severe cases. These findings, combined with high engagement levels, suggest that data-driven digital health interventions could complement traditional treatments, though further research is needed to assess their long-term impact.

Relative Preference for In-Person, Telehealth, Digital, and Pharmacologic Mental Health Care After the COVID-19 Pandemic: Cross-Sectional Questionnaire Study

BACKGROUND

Most adults and children in the United States fail to receive timely care for mental health symptoms, with even worse rates of care access for individuals who belong to racial and ethnic minority groups. Digital (ie, app-based) care has proven to be an efficacious and empirically supported treatment option with the potential to address low rates of care and reduce care disparities, yet little is known about the relative preference for such treatment. Furthermore, the rapid adoption of telehealth care during the COVID-19 pandemic may have shifted care preferences.

OBJECTIVE

This study aimed to examine relative treatment preferences for 4 different types of mental health care: in-person psychological care, telehealth psychological care, digital treatment, or pharmacologic care. Care preferences were also examined relative to potential predictors of care use (ie, gender, race, age, stigma, discrimination, and level of shame).

METHODS

In this cross-sectional online survey study of adults (N=237, mean age 35 years, range 19-68 years), we ranked 4 mental health care modalities based on care preference: (1) in-person care, (2) telehealth care, (3) digital care, and (4) pharmacologic care. Preference for treatment modality was assessed based on vignette presentation for generalized anxiety disorder and insomnia. In addition, participants completed self-report questionnaires for demographics, symptom severity, and psychological and stigma-related variables.

RESULTS

We found no difference in overall preference for in-person versus both telehealth and digital care. For both generalized anxiety disorder and insomnia, participants preferred in-person care to telehealth care, although this finding was attenuated amongst older participants for insomnia treatment. Participants' depressed mood was associated with a greater relative preference for pharmacologic care. There was no evidence of differential preference for digital care according to demographics, symptom severity, or psychological and stigma-related variables.

CONCLUSIONS

These results indicate that digital care now competes well in terms of treatment preference with in-person, telehealth, and pharmacologic treatment options.

A Web-Based Resource Informed by Cognitive Behavioral Therapy and Positive Psychology to Address Stress, Negative Affect, and Problematic Alcohol Use: A Usability and Descriptive Study

Background

Research documents that drinking to cope behavior can be disrupted by enhancing emotion regulation and coping skills related to the experience of stress and negative affect. The Alpha Element Self-Coaching Plan incorporates principles of positive psychology and cognitive behavioral therapy to redirect negative thinking and emotions and, therefore, has the potential to benefit individuals who use alcohol to cope with stress.

Objective

This study aimed to evaluate satisfaction and usability of the web-based Alpha Element Self-Coaching Plan in order to inform the development of an expanded digital platform based on the Alpha Element framework.

Methods

Participants enrolled in the web-based program as part of their clinical care were eligible to participate. A total of 20 individuals (14 women and 6 men) between ages 30 and 79 (mean 54.5, SD 14.14) years completed web-based questionnaires to assess product performance in areas such as ease of technology use, quality of videos and handouts, and the value of the activities. Participants also completed the System Usability Scale (SUS) and provided background and demographic information, including alcohol use.

Results

Only 1 participant reported no alcohol use in the past year; 55% (11/20) of participants drank alcohol 2-4 times per month or less and 45% (9/20) reported drinking alcohol 2-3 times per week or more. The average SUS score of 76.38 (SD 17.85) was well above the commonly accepted threshold of 68, indicating high system usability. A majority of the sample (16/19, 84%) agreed or strongly agreed that the activities in the program inspired behavioral changes; and most agreed or strongly agreed that the program was engaging (16/20, 80%), well-organized (18/20, 90%), and easy to follow (17/20, 85%). Only 2 participants endorsed experiencing difficulty using the program on a smartphone. Suggestions for program improvements included expanding the platform, updating the web format, adding user interactivity, and enhancing navigation.

Conclusions

These data suggest that participants were generally satisfied with the web-based Alpha Element Self-Coaching Plan, and rated usability of the program as favorable. Importantly, a significant portion of participants reported that the program inspired behavioral changes. More research is needed with a larger sample to obtain specific data about alcohol consumption and investigate associations between alcohol use and program components, as well as examine gender differences. Data collected from this study will be used to expand the platform and improve user experience.

Self-Guided Smartphone App (Vimbo) for the Reduction of Symptoms of Depression and Anxiety in South African Adults: Pilot Quantitative Single-Arm Study

BACKGROUND

Barriers to mental health assessment and intervention have been well documented within South Africa, in both urban and rural settings. Internationally, evidence has emerged for the effectiveness of technology and, specifically, app-based mental health tools and interventions to help overcome some of these barriers. However, research on digital interventions specific to the South African context and mental health is limited.

OBJECTIVE

This pilot study investigated the feasibility of using an app (Vimbo) to treat symptoms of anxiety and depression in South African adults recruited from a community sample. The Vimbo app is a self-guided, cognitive behavioral therapy-based digital intervention for common mental health difficulties developed for the South African context.

METHODS

This pilot study used a naturalistic, single-arm design testing the Vimbo app over 12 weeks, from October 2020 to February 2021. Participants were recruited through the South African Depression and Anxiety Group and social media advertisements online. A 2-week retention period was used to allow for a minimum of 2 datasets. App usage and engagement metrics were extracted directly from the back end of the app. Based on the model, researchers expected many users to discontinue usage when their symptom levels entered a healthy range. Pre-post review of symptom levels was used to reflect on clinical recovery status at discontinuation after the retention period.

RESULTS

A total of 218 applicants met study eligibility criteria and were invited to download the Vimbo app. Of these, 52% (114/218) of the participants registered with the app, who indicated multiple variances of depression and anxiety symptoms ranging in severity from mild to severe. Two participants users withdrew from the study. Moreover, 69% (77/112) of users were retained, including 8 who had technical issues with their treatment. When comparing broad uptake across all interested participants, chi-square analysis indicated significantly reduced uptake in participants identifying as "unemployed but seeking employment" (χ24=10.47; N=251; P=.03). When considering app usage for the entire cohort (n=69, excluding participants with technical issues), there was a mean of 72.87 (SD 71.425) total module pages read, a mean of 30% (SD 29.473%) of prescribed content completed, and a mean of 19.93 (SD 27.517) times engaging with tools and skills.

CONCLUSIONS

Our findings support the case for continued exploration of app-based interventions for treating depression and anxiety in South Africa. Developing strategies to increase access and improve intervention uptake may prove essential to helping mobile health interventions make as significant an impact as possible. Future research should include a randomized controlled trial with a larger sample to further assess the efficacy of app-based interventions in treating mental health difficulties in South Africa.

Enhancing the effectiveness of CBT for patients with unipolar depression by integrating digital interventions into treatment: A pilot randomized controlled trial

OBJECTIVE

Blended cognitive behavioral therapy (bCBT) combines face-to-face therapy with digital elements, such as digital health apps. This pilot study aimed to explore the effectiveness and safety of a novel bCBT application for treating unipolar depression in adults combined with cognitive behavioral therapy (CBT) compared to CBT alone in routine care.

METHODS

Patients (N = 82) were randomly assigned to bCBT (n = 42) or CBT (n = 40) over 12 weeks. bCBT consisted of weekly CBT sessions accompanied by the elona therapy depression module (a bCBT application for unipolar depression) for use between sessions. Standard CBT consisted of weekly CBT sessions. Outcomes (6,12 weeks) were analyzed with linear mixed models.

RESULTS

Improvements in depressive symptoms (BDI-II, PHQ-9) were descriptively larger for the bCBT group. Yet, this difference did not reach statistical significance. bCBT was superior to standard CBT in secondary outcome measures of psychological health (d = .50) and generalized anxiety symptoms (d = -.45). In other secondary outcomes (BAI, PSWQ, GSE, WHOQOL-BREF), improvements were descriptively larger for bCBT compared to CBT.

CONCLUSION

This pilot study provided preliminary evidence that bCBT might be advantageous in comparison to CBT alone in the treatment of depression, but larger RCTs of the bCBT application are needed.

From theory to practice: Revealing the real-world impact of cognitive behavioral therapy in psychological disorders through a dynamic bibliometric and survey study

Background

Cognitive behavior therapy (CBT) is a proven treatment for many psychological disorders. It has been extensively studied and is effective for anxiety, depression, and schizophrenia. However, a bibliometric analysis of the CBT literature for these disorders is needed. This study reviewed this field's research and identifies key trends, influential studies, and gaps.

Methods

Using MeSH-generated keywords and PRISMA guidelines, the Scopus database retrieved bibliographic data without temporal or geographical constraints. Data-driven studies were analyzed for performance, collaborative pattern, impact, co-word frequency, knowledge structure, and trending topics using R-package-based Bibliometrix and VOSviewer applications. The current study applied bibliometric and statistical analyses.

Results

Scopus yielded 2757 studies since inception in 1979. The polynomial regression coefficient of 0.945 (R2) indicates a strong positive trend, and the research has increased at an annual rate of 12.67 %. Scholars from five countries had a noteworthy production of CBT research in treating PsD, namely the United States, the United Kingdom, Germany, Australia, and the Netherlands. Depression, oppositional defiant disorder, schizophrenia, and implementation are the clusters in the CBT research map. The thematic map needed to meet the desired criteria for representing all anticipated themes. Thematic evolution is evidence of noticeable changes that contributed to the creation of new research clusters and the disappearance of some of them. COVID-19 has significantly impacted the adoption and efficacy of internet-based interventions for mental health. The cross-sectional study provides valuable insights into the development and dissemination of CBT in Saudi Arabia, emphasizing the importance of training, awareness, and research.

Conclusions

This study proposes that further investigation be conducted in contemporary literature to create a comprehensive framework for enhancing policy decisions regarding CBT.

Lessons learned from a multimodal sensor-based eHealth approach for treating pediatric obsessive-compulsive disorder

Introduction

The present study investigates the feasibility and usability of a sensor-based eHealth treatment in psychotherapy for pediatric obsessive-compulsive disorder (OCD), and explores the promises and pitfalls of this novel approach. With eHealth interventions, therapy can be delivered in a patient's home environment, leading to a more ecologically valid symptom assessment and access to experts even in rural areas. Furthermore, sensors can help indicate a patient's emotional and physical state during treatment. Finally, using sensors during exposure with response prevention (E/RP) can help individualize therapy and prevent avoidance behavior.

Methods

In this study, we developed and subsequently evaluated a multimodal sensor-based eHealth intervention during 14 video sessions of cognitive-behavioral therapy (CBT) in 20 patients with OCD aged 12-18. During E/RP, we recorded eye movements and gaze direction via eye trackers, and an ECG chest strap captured heart rate (HR) to identify stress responses. Additionally, motion sensors detected approach and avoidance behavior.

Results

The results indicate a promising application of sensor-supported therapy for pediatric OCD, such that the technology was well-accepted by the participants, and the therapeutic relationship was successfully established in the context of internet-based treatment. Patients, their parents, and the therapists all showed high levels of satisfaction with this form of therapy and rated the wearable approach in the home environment as helpful, with fewer OCD symptoms perceived at the end of the treatment.

Discussion

The goal of this study was to gain a better understanding of the psychological and physiological processes that occur in pediatric patients during exposure-based online treatment. In addition, 10 key considerations in preparing and conducting sensor-supported CBT for children and adolescents with OCD are explored at the end of the article. This approach has the potential to overcome limitations in eHealth interventions by allowing the real-time transmission of objective data to therapists, once challenges regarding technical support and hardware and software usability are addressed.

Clinical Trial Registration

www.ClinicalTrials.gov, identifier (NCT05291611).

Examining a Fully Automated Mobile-Based Behavioral Activation Intervention in Depression: Randomized Controlled Trial

Background

Despite significant progress in our understanding of depression, prevalence rates have substantially increased in recent years. Thus, there is an imperative need for more cost-effective and scalable mental health treatment options, including digital interventions that minimize therapist burden.

Objective

This study focuses on a fully automated digital implementation of behavioral activation (BA)-a core behavioral component of cognitive behavioral therapy for depression. We examine the efficacy of a 1-month fully automated SMS text message-based BA intervention for reducing depressive symptoms and anhedonia.

Methods

To this end, adults reporting at least moderate current depressive symptoms (8-item Patient Health Questionnaire score ≥10) were recruited online across the United States and randomized to one of three conditions: enjoyable activities (ie, BA), healthy activities (ie, an active control condition), and passive control (ie, no contact). Participants randomized to enjoyable and healthy activities received daily SMS text messages prompting them to complete 2 activities per day; participants also provided a daily report on the number and enjoyment of activities completed the prior day.

Results

A total of 126 adults (mean age 32.46, SD 7.41 years) with current moderate depressive symptoms (mean score 16.53, SD 3.90) were recruited. Participants in the enjoyable activities condition (BA; n=39) experienced significantly greater reductions in depressive symptoms compared to participants in the passive condition (n=46). Participants in both active conditions-enjoyable activities and healthy activities (n=41)-reported reduced symptoms of anxiety compared to those in the control condition.

Conclusions

These findings provide preliminary evidence regarding the efficacy of a fully automated digital BA intervention for depression and anxiety symptoms. Moreover, reminders to complete healthy activities may be a promising intervention for reducing anxiety symptoms.

Web-Based Coping Skills Training and Coach Support for Women Living With a Partner With an Alcohol Use Disorder: Randomized Controlled Trial

BACKGROUND

Individuals living with a partner with an alcohol use disorder (AUD) can experience significant psychological distress and use health care more than those without a partner with an AUD. However, the prevailing treatment system's focus on the partner and personal barriers limit these individuals from getting help for themselves. Preliminary work on a self-directed, web-based coping skills training program, Stop Spinning My Wheels (SSMW), shows promise in broadening available treatments for this population. In this study, we conducted a robust evaluation of SSMW primary outcomes.

OBJECTIVE

The study aims to test whether women with a partner with an AUD assigned to SSMW experienced a greater reduction in negative affect (depression and anger) (1) than a usual web care (UWC) control and (2) with brief phone coach support (SSMW+coach) rather than without (SSMW only) and (3) whether baseline negative affect moderated treatment effects.

METHODS

Women (mean age 45.7, SD 10.8 years; Black: 17/456, 3.7%; White: 408/456, 89.5%) were randomized to SSMW only, SSMW+coach, or UWC. Depression (Beck Depression Inventory-II) and anger (State-Trait Anger Expression Inventory 2-State Anger) were assessed at baseline, 12-week posttest, and 6- and 12-month follow-ups.

RESULTS

Participants in all conditions decreased in depression from baseline to posttest and from baseline to follow-up; SSMW-only and SSMW+coach participants decreased in anger, but UWC participants did not. Compared to UWC participants, SSMW-only participants experienced greater anger reduction (P=.03), and SSMW+coach participants experienced a greater reduction in depression (P<.001) from baseline to posttest. However, from baseline to follow-up, only a greater, but not statistically significant (P=.052), reduction in anger occurred in SSMW+coach compared to UWC. Although the SSMW conditions did not differ from each other in negative affect outcomes (P=.06-.57), SSMW+coach had higher program engagement and satisfaction (all P<.004). Baseline negative affect did not moderate effects, although remission from baseline clinically relevant depressive symptoms (Beck Depression Inventory≥14) was higher in SSMW only (33/67, 49%; odds ratio 2.13, 95% CI 1.05-4.30; P=.03) and SSMW+coach (46/74, 62%; odds ratio 3.60, 95% CI 1.79-7.23; P<.001) than in UWC (21/67, 31%); remission rates did not differ between the SSMW conditions (P=.12).

CONCLUSIONS

The results partially supported the hypotheses. The SSMW conditions had earlier effects than UWC, but positive change in UWC mitigated the hypothesized long-term SSMW-UWC differences. The results highlight the importance of incorporating active controls in web-based clinical trials. Although SSMW+coach showed benefits over SSMW only on engagement and satisfaction measures and in the number needed to treat (5.6 for SSMW only; 3.2 for SSMW+coach), the SSMW conditions were comparable and superior to UWC on depressive symptom remission levels. Overall, SSMW with or without a coach can reduce clinically meaningful distress and add to available treatment options for this large, underserved group.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02984241; https://www.clinicaltrials.gov/study/NCT02984241.

The Cross-Cultural Validation of Neuropsychological Assessments and Their Clinical Applications in Cognitive Behavioral Therapy: A Scoping Analysis

OBJECTIVE

The present study explores the cross-cultural validation of neuropsychological assessments and their clinical applications in cognitive behavioral therapy (CBT), focusing on culturally adapted CBT (CA-CBT) across diverse populations and settings.

METHODS

Following the PRISMA guidelines, a comprehensive search was conducted in multiple academic databases, including PubMed, PsycINFO, Scopus, and Web of Science. Keywords related to cognitive behavioral therapy, cultural adaptation, and specific populations were used. The inclusion criteria encompassed randomized controlled trials (RCTs) and pilot studies that assessed CA-CBT for various mental health conditions.

RESULTS

The review included studies involving Chinese Americans, Latino caregivers, Syrian refugees, Jordanian children, Malaysian Muslims, Afghan refugees, Iraqi women, Japanese children and adolescents, and Tanzanian and Kenyan children. CA-CBT demonstrated significant effectiveness in reducing symptoms of depression, anxiety, PTSD, and psychosis. For instance, research has shown that CA-CBT is more effective than standard CBT in reducing depressive symptoms among Chinese Americans and in significantly lowering PTSD symptoms in Syrian refugee women. This method has been well-received and is feasible for use in diverse populations, such as Jordanian children and Afghan refugees. The long-term benefits are promising, with sustained improvements being reported in various studies. Additionally, digital and remote delivery methods have demonstrated potential for expanding the accessibility of CA-CBT.

CONCLUSIONS

CA-CBT is a valuable and effective intervention for diverse cultural populations, significantly improving mental health outcomes. However, future research must address limitations such as small sample sizes, short follow-up periods, and variability in assessment tools. Future studies should include larger and more diverse sample sizes, longer follow-up periods, rigorous control groups, and comprehensive outcome measures to further validate and enhance the application of CA-CBT across different cultural contexts.

War, emotions, mental health, and artificial intelligence

During the war time dysregulation of negative emotions such as fear, anger, hatred, frustration, sadness, humiliation, and hopelessness can overrule normal societal values, culture, and endanger global peace and security, and mental health in affected societies. Therefore, it is understandable that the range and power of negative emotions may play important roles in consideration of human behavior in any armed conflict. The estimation and assessment of dominant negative emotions during war time are crucial but are challenged by the complexity of emotions' neuro-psycho-physiology. Currently available natural language processing (NLP) tools have comprehensive computational methods to analyze and understand the emotional content of related textual data in war-inflicted societies. Innovative AI-driven technologies incorporating machine learning, neuro-linguistic programming, cloud infrastructure, and novel digital therapeutic tools and applications present an immense potential to enhance mental health care worldwide. This advancement could make mental health services more cost-effective and readily accessible. Due to the inadequate number of psychiatrists and limited psychiatric resources in coping with mental health consequences of war and traumas, new digital therapeutic wearable devices supported by AI tools and means might be promising approach in psychiatry of future. Transformation of negative dominant emotional maps might be undertaken by the simultaneous combination of online cognitive behavioral therapy (CBT) on individual level, as well as usage of emotionally based strategic communications (EBSC) on a public level. The proposed positive emotional transformation by means of CBT and EBSC may provide important leverage in efforts to protect mental health of civil population in war-inflicted societies. AI-based tools that can be applied in design of EBSC stimuli, like Open AI Chat GPT or Google Gemini may have great potential to significantly enhance emotionally based strategic communications by more comprehensive understanding of semantic and linguistic analysis of available text datasets of war-traumatized society. Human in the loop enhanced by Chat GPT and Gemini can aid in design and development of emotionally annotated messages that resonate among targeted population, amplifying the impact of strategic communications in shaping human dominant emotional maps into a more positive by CBT and EBCS.

Does Social Intelligence Training Improve Daily Well-Being and Responsiveness to Daily Negative and Positive Events in Custodial Grandmothers?

OBJECTIVES

Custodial grandparents are grandparents who raise grandchildren on a full-time basis in absence of the grandchild's birth parents. Compared to noncaregiving grandparents, custodial grandparents report poorer mental and physical health and stronger changes in daily well-being when experiencing negative and positive events. We examine whether an online social intelligence training (SIT) program improves custodial grandmothers' (CGM) daily well-being, socioemotional skills, and changes in well-being when confronted with daily negative and positive events.

METHODS

Multilevel models were applied to 200 CGM who were recruited from across the United States and completed a daily survey for 14 consecutive days prior to and following participation in a randomized clinical trial. Participants were randomized into the SIT program or an attention control condition focusing on healthy living habits. The outcomes of interest were daily well-being, social connectedness, emotional awareness, and perspective-taking.

RESULTS

Multilevel analyses revealed that participants who participated in the SIT program, compared to the attention control condition, exhibited stronger emotional responsiveness (i.e., improvements) to daily positive events in the outcomes of positive affect, social engagement, and perspective-taking.

DISCUSSION

Our findings illustrate that SIT improves key components of daily functioning in CGM, which may serve as a pathway linking the demands of custodial grandparenting to poorer mental and physical health. Our discussion focuses on the utility and accessibility of the SIT program for helping improve outcomes for this disadvantaged population.Clinical Trials Registration Number: NCT03239977.

The future of psychological treatments: The Marburg Declaration

Although psychological treatments are broadly recognized as evidence-based interventions for various mental disorders, challenges remain. For example, a substantial proportion of patients receiving such treatments do not fully recover, and many obstacles hinder the dissemination, implementation, and training of psychological treatments. These problems require those in our field to rethink some of our basic models of mental disorders and their treatments, and question how research and practice in clinical psychology should progress. To answer these questions, a group of experts of clinical psychology convened at a Think-Tank in Marburg, Germany, in August 2022 to review the evidence and analyze barriers for current and future developments. After this event, an overview of the current state-of-the-art was drafted and suggestions for improvements and specific recommendations for research and practice were integrated. Recommendations arising from our meeting cover further improving psychological interventions through translational approaches, improving clinical research methodology, bridging the gap between more nomothetic (group-oriented) studies and idiographic (person-centered) decisions, using network approaches in addition to selecting single mechanisms to embrace the complexity of clinical reality, making use of scalable digital options for assessments and interventions, improving the training and education of future psychotherapists, and accepting the societal responsibilities that clinical psychology has in improving national and global health care. The objective of the Marburg Declaration is to stimulate a significant change regarding our understanding of mental disorders and their treatments, with the aim to trigger a new era of evidence-based psychological interventions.

The use of coaching in smartphone app-based cognitive behavioral therapy for body dysmorphic disorder

Background

Body dysmorphic disorder (BDD) is severe and undertreated. Digital mental health could be key to expanding access to evidence-based treatments, such as cognitive behavioral therapy for BDD (CBT-BDD). Coach guidance is posited to be essential for effective uptake of digital interventions. However, little is known about how different patients may use coaching, what patterns correspond to meaningful outcomes, and how to match coaching to patient needs.

Methods

Participants were 77 adults who received a 12-week guided smartphone CBT-BDD. Bachelor's-level coaches were available via asynchronous messaging. We analyzed the 400 messages sent by users to coaches during treatment. Message content was coded using the efficiency model of support (i.e., usability, engagement, fit, knowledge, and implementation). We aimed to clarify when and for what purposes patients with BDD used coaching, and if we can meaningfully classify patients by these patterns. We then assessed potential baseline predictors of coach usage, and whether distinct patterns relate to clinical outcomes.

Results

Users on average sent 5.88 messages (SD = 4.51, range 1-20) and received 9.84 (SD = 5.74, range 2-30). Regarding frequency of sending messages, latent profile analysis revealed three profiles, characterized by: (1) peak mid-treatment (16.88 %), (2) bimodal/more communication early and late in treatment (10.39 %), and (3) consistent low/no communication (72.73 %). Regarding content, four profiles emerged, characterized by mostly (1) engagement (51.95 %), (2) fit (15.58 %), (3) knowledge (15.58 %), and (4) miscellaneous/no messages (16.88 %). There was a significant relationship between frequency profile and age, such that the early/late peak group was older than the low communication group, and frequency profile and adherence, driven by the mid-treatment peak group completing more modules than the low contact group. Regarding content, the engagement and knowledge groups began treatment with more severe baseline symptoms than the fit group. Content profile was associated with dropout, suggesting higher dropout rates in the miscellaneous/no contact group and reduced rates in the engagement group. There was no relationship between profile membership and other outcomes.

Discussion

The majority of participants initiated little contact with their coach and the most common function of communications was to increase engagement. Results suggest that older individuals may prefer or require more support than younger counterparts early in treatment. Additionally, whereas individuals using coaching primarily for engagement may be at lower risk of dropping out, those who do not engage at all may be at elevated risk. Findings can support more personalized, data-driven coaching protocols and more efficient allocation of coaching resources.

Is cognitive behavioral therapy an efficacious treatment for psychological interventions in body dysmorphic disorders? A meta-analysis based on current evidence from randomized controlled trials

BACKGROUND

Clinical guidelines and some studies recommend cognitive-behavioral therapy (CBT) as the most effective treatment for body dysmorphic disorder (BDD). However, owing to the lack of randomized controlled trials (RCTs), the research evidence is insufficient. This study aimed to explore the effectiveness of CBT in the treatment of BDD using RCTs. This meta-analysis was registered in PROSPERO (CRD42023410577).

METHODS

After a literature search and screening, 11 RCTs with 667 patients were included. The ROB 2.0 tool, funnel plots, sensitivity analysis, and meta-regression analysis were used to assess the quality, publication bias, and sources of heterogeneity.

RESULTS

After CBT intervention, the severity of BDD (SMD = -1.73, 95 % CI (confidence interval) = [-2.90; -0.57]), depression symptoms (SMD = -1.72, 95 % CI = [-3.16; -0.28]), and anxiety levels were all reduced in the patients of the experimental group; the remission of BDD (OR = 7.37, 95 % CI = [2.17; 24.98]) and the response of BDD (OR = 8.86, 95 % CI = [4.85; 16.18]) were all increased; incorrect beliefs such as disability and BABS were also reduced; the quality of life was improved. The difference between the groups was statistically significant (p < 0.01). Meta-regression analysis showed that age and sample size were the predictive factors of the effectiveness of CBT.

LIMITATIONS

The heterogeneity of most meta-analyses was high (I2 > 75 %).

CONCLUSIONS

Although CBT is effective in treating BDD, there is insufficient evidence to suggest that it is the best psychological intervention for BDD. More high-quality evidence is still needed in the future.

Review: Preventing Psychopathology in the Digital Age: Leveraging Technology to Target Coping and Emotion Regulation in Adolescents

Objective

Exposure to stress is a risk factor for the development of psychopathology in adolescence. Coping and emotion regulation (ER) mediate and moderate the association between stress exposure and psychopathology, and interventions that teach coping and ER skills to adolescents have demonstrated efficacy for the prevention of psychological symptoms and disorders. Although multiple barriers limit the impact of in-person interventions, digital solutions are promising for delivering interventions in part or whole.

Method

The purpose of the current review is to inform the development of interventions that both work and impact public health. The focus is leveraging technology for the prevention of internalizing and externalizing psychopathology in adolescents, with coping and ER as the mechanisms for change.

Results

A brief overview of the research on coping and ER is provided; extant in-person and digital interventions targeting coping and ER to prevent psychopathology in adolescents are discussed; and a direction for how the field can progress to bridge the gap between research and commercial silos is provided.

Conclusion

Taken together, this review can guide efforts toward technology-based and -enhanced preventive interventions targeting coping and ER to prevent psychopathology in adolescents.

Diversity & Inclusion Statement

We actively worked to promote sex and gender balance in our author group. While citing references scientifically relevant for this work, we also actively worked to promote sex and gender balance in our reference list. While citing references scientifically relevant for this work, we also actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our reference list.

Cost-Effectiveness Analysis of a Prescription Digital Therapeutic in Type 2 Diabetes

INTRODUCTION

BT-001 (AspyreRx™) prescription digital therapy, a form of personalized cognitive behavioral therapy, has demonstrated clinically meaningful and durable hemoglobin A1c reductions in patients with type 2 diabetes (T2D). The current study examined the cost-effectiveness of BT-001 plus standard of care (SoC) versus SoC alone in T2D over a lifetime horizon from a healthcare payer perspective.

METHODS

We modeled the T2D pathway using an individual patient-level simulation; clinical data were sourced from the intention-to-treat subset of the BT-001 randomized clinical trial (RCT). SoC across both arms included the composition of oral and injectable treatments for T2D. Events were simulated using the United Kingdom Prospective Diabetes Study Outcomes Model 2 risk equation. A 3-month model cycle length was used in the first year, then annual model cycles were used in line with the original risk engine specifications. Patient characteristics informed event equations and Monte Carlo random sampling was used to assess the occurrence of events within each model cycle. Incidence of hypoglycemic events, drug discontinuation, costs, and health utilities and disutility values were sourced from the literature.

RESULTS

From a payer perspective, BT-001 plus SoC versus SoC alone was dominant with a gain in quality-adjusted life years (QALYs) of 0.101 and cost savings of $7343 per patient over the lifetime horizon (i.e., more effective and less costly). BT-001 plus SoC was cost-effective at a willingness-to-pay of $100,000 per QALY (incremental net monetary benefit was $17,443). Savings with BT-001 were primarily driven by a reduction in drug acquisition costs. The reduction in hemoglobin A1c with BT-001 was associated with fewer T2D complications.

CONCLUSIONS

BT-001 plus SoC was estimated to dominate SoC alone over the lifetime horizon from a payer perspective, suggesting that using BT-001 can empower patients to better manage their diabetes with the potential for lifelong advantages.

Depressive symptoms as a heterogeneous and constantly evolving dynamical system: Idiographic depressive symptom networks of rapid symptom changes among persons with major depressive disorder

Major depressive disorder (MDD) is conceptualized by individual symptoms occurring most of the day for at least two weeks. Despite this operationalization, MDD is highly variable with persons showing greater variation within and across days. Moreover, MDD is highly heterogeneous, varying considerably across people in both function and form. Recent efforts have examined MDD heterogeneity byinvestigating how symptoms influence one another over time across individuals in a system; however, these efforts have assumed that symptom dynamics are static and do not dynamically change over time. Nevertheless, it is possible that individual MDD system dynamics change continuously across time. Participants (N = 105) completed ratings of MDD symptoms three times a day for 90 days, and we conducted time varying vector autoregressive models to investigate the idiographic symptom networks. We then illustrated this finding with a case series of five persons with MDD. Supporting prior research, results indicate there is high heterogeneity across persons as individual network composition is unique from person to person. In addition, for most persons, individual symptom networks change dramatically across the 90 days, as evidenced by 86% of individuals experiencing at least one change in their most influential symptom and the median number of shifts being 3 over the 90 days. Additionally, most individuals had at least one symptom that acted as both the most and least influential symptom at any given point over the 90-day period. Our findings offer further insight into short-term symptom dynamics, suggesting that MDD is heterogeneous both across and within persons over time. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Testing a Behavioral Activation Gaming App for Depression During Pregnancy: Multimethod Pilot Study

BACKGROUND

Depression during pregnancy is increasingly recognized as a worldwide public health problem. If untreated, there can be detrimental outcomes for the mother and child. Anxiety is also often comorbid with depression. Although effective treatments exist, most women do not receive treatment. Technology is a mechanism to increase access to and engagement in mental health services.

OBJECTIVE

The Guardians is a mobile app, grounded in behavioral activation principles, which seeks to leverage mobile game mechanics and in-game rewards to encourage user engagement. This study seeks to assess app satisfaction and engagement and to explore changes in clinical symptoms of depression and anxiety among a sample of pregnant women with elevated depressive symptoms.

METHODS

This multimethod pilot test consisted of a single-arm, proof-of-concept trial to examine the feasibility and acceptability of The Guardians among a pregnant sample with depression (N=18). Participation included two web-based study visits: (1) a baseline assessment to collect demographic and obstetric information and to assess clinical symptoms and (2) an exit interview to administer follow-up measures and explore user experience. Participants completed biweekly questionnaires (ie, Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7) during the trial to assess depression and anxiety symptom severity. App satisfaction was measured using 2 self-report scales (ie, Mobile Application Rating Scale and Player Experience of Needs Satisfaction scale). Engagement with The Guardians was captured using game interaction metric data. We used backward-eliminated mixed effects longitudinal models to examine the effects of app engagement and satisfaction and length of time in the study on symptoms of depression and anxiety. Content analysis was conducted on qualitative data from exit interviews.

RESULTS

The 15-day and 30-day overall app retention rates were 26.6% and 15.1%, respectively. Mixed effects models found significant negative main effects of week in study (β=-.35; t61=-3.05; P=.003), number of activities completed (β=-.12; t61=-2.05; P=.04), days played (β=-.12; t58=-2.9; P=.005), and satisfaction, according to the Mobile Application Rating Scale (β=-3.05; t45=-2.19; P=.03) on depressive symptoms. We have reported about similar analyses for anxiety. There is preliminary evidence suggesting harder activities are associated with greater mood improvement than easier activities. Qualitative content analysis resulted in feedback falling under the following themes: activities, app design, engagement, fit of the app with lifestyle, perceived impact of the app on mood, and suggestions for app modifications.

CONCLUSIONS

Preliminary results from this multimethod study of The Guardians indicate feasibility and acceptability among pregnant women with depression. Retention and engagement levels were more than double those of previous public mental health apps, and use of the app was associated with significant decrease in depressive symptom scores over the 10-week trial. The Guardians shows promise as an effective and scalable digital intervention to support women experiencing depression.

E-therapists' views on the acceptability and feasibility of an internet-administered, guided, low-intensity cognitive behavioural therapy intervention for parents of children treated for cancer: A qualitative study

Background

Childhood cancer treatment completion can be a period of vulnerability for parents and is associated with mental health difficulties such as depression and anxiety. We developed an internet-administered, guided, low-intensity cognitive behavioural therapy-based self-help intervention (EJDeR) for parents delivered on the U-CARE-portal (Portal). The acceptability and feasibility of EJDeR and study procedures were examined using a single-arm feasibility trial (ENGAGE). Results indicated that EJDeR and ENGAGE study procedures are acceptable and feasible, however, a need for clinical and technical modifications to EJDeR and refinements to ENGAGE study procedures was identified.

Objectives

This study aimed to explore the acceptability and feasibility of EJDeR and ENGAGE study procedures from the perspective of e-therapists to inform clinical and technical modifications to EJDeR and refinements to study procedures prior to progression to a superiority randomised controlled trial.

Methods

We conducted semi-structured interviews with 10 e-therapists. Data were analysed using manifest content analysis.

Results

We identified three categories relating to the acceptability and feasibility of EJDeR: (a) Support to e-therapists (subcategories: Clinical supervision and Technical difficulties); (b) Guidance to parents (subcategories: Support protocols and Synchronous communication); and (c) Content (subcategories: Relevancy of the intervention and Pacing of the intervention). We identified four categories relating to the acceptability and feasibility of study procedures: (a) Recruitment and training of e-therapists (subcategories: Definition of the role and Training program); (b) Retention of parents (subcategories: Parent suitability and screening and Frequency of weekly Portal assessments); (c) Retention of e-therapists (subcategories: Administrative requirements and Communication with the research team); and (d) The Portal.

Conclusions

EJDeR and study procedures were considered acceptable and feasible, however, clinical and technical modifications and refinements to study procedures were suggested to enhance acceptability and feasibility. Results may also inform implementation considerations for both EJDeR and other similar digital psychological interventions.

Trial registration number

ISRCTN 57233429.

How Can Digital Mental Health Enhance Psychiatry?

The use of digital technologies is constantly growing around the world. The wider-spread adoption of digital technologies and solutions in the daily clinical practice in psychiatry seems to be a question of when, not if. We propose a synthesis of the scientific literature on digital technologies in psychiatry and discuss the main aspects of its possible uses and interests in psychiatry according to three domains of influence that appeared to us: 1) assist and improve current care: digital psychiatry allows for more people to have access to care by simply being more accessible but also by being less stigmatized and more convenient; 2) develop new treatments: digital psychiatry allows for new treatments to be distributed via apps, and practical guidelines can reduce ethical challenges and increase the efficacy of digital tools; and 3) produce scientific and medical knowledge: digital technologies offer larger and more objective data collection, allowing for more detection and prevention of symptoms. Finally, ethical and efficacy issues remain, and some guidelines have been put forth on how to safely use these solutions and prepare for the future.

Predicting Individual Response to a Web-Based Positive Psychology Intervention: A Machine Learning Approach

Positive psychology interventions (PPIs) are effective at increasing happiness and decreasing depressive symptoms. PPIs are often administered as self-guided web-based interventions, but not all persons benefit from web-based interventions. Therefore, it is important to identify whether someone is likely to benefit from web-based PPIs, in order to triage persons who may not benefit from other interventions. In the current study, we used machine learning to predict individual response to a web-based PPI, in order to investigate baseline prognostic indicators of likelihood of response (N = 120). Our models demonstrated moderate correlations (happiness: r Test = 0.30 ± 0.09; depressive symptoms: r Test = 0.39 ± 0.06), indicating that baseline features can predict changes in happiness and depressive symptoms at a 6-month follow-up. Thus, machine learning can be used to predict outcome changes from a web-based PPI and has important clinical implications for matching individuals to PPIs based on their individual characteristics.

Are Daily Well-Being and Emotional Reactivity to Stressors Modifiable in Midlife?: Evidence from a Randomized Controlled Trial of an Online Social Intelligence Training Program

The complex set of challenges that middle-aged adults encounter emphasizes a need for mental health interventions that promote resilience and positive outcomes. The present study evaluated whether an online, self-guided social intelligence training (SIT) program (8 h) improved midlife adults' daily well-being and emotion regulation in the context of their own naturalistic everyday environment. A randomized controlled trial was conducted with 230 midlife adults allocated into either a SIT program or an attentional control (AC) condition that focused on healthy lifestyle education. Intent-to-treat analyses examined two bursts of 14-day daily surveys that participants completed pre- and post-treatment. Multilevel models evaluated pre-to post-treatment changes in mean positive and negative affect, as well as daily emotional reactivity to stressors and responsiveness to uplifts. Compared to the AC group, those in the SIT program reported improvements (i.e., decreases) in mean negative affect, positive emotional reactivity to daily stressors (i.e., smaller decreases in positive affect on stressor days), and negative emotional responsiveness to uplifts (i.e., lower negative affect on days without uplifts). Our discussion considers potential mechanisms underlying these improvements, highlights downstream effects on midlife functioning, and elaborates on how online delivery of the SIT program increases its potential for positive outcomes across adulthood. ClinicalTrials.gov Identifier: NCT03824353.

Efficacy of Cognitive Behavioral Therapy in Heart Failure Patients: A Systematic Review and Meta-Analysis

BACKGROUND

Heart failure (HF) is a global disorder affecting around 6.2 million Americans aged 20 years and above. Neurovegetative disorders are common among such patients, and depression is a major problem that affects 20% to 40% of them. Cognitive behavioral therapy (CBT) is a type of treatment that produces the most favorable results compared to other psychotherapies, especially among patients with depression and anxiety. We aim to summarize and synthesize evidence regarding the efficacy of CBT for patients with HF.

METHODS

We conducted this study by searching PubMed, Scopus, and Web of Science for relevant studies about CBT use in patients with HF. The outcomes were pooled as mean difference (MD) or standard MD with a 95% CI. The analysis was performed using the RevMan software.

RESULTS

Combined data from 9 randomized controlled trials (1070 patients) revealed that CBT can alleviate both depression symptoms in HF patients when measured using different scales after 3 months of follow-up (standard MD, -0.18 [95% CI, -0.33 to -0.02]; P = 0.03) and the quality of life after 3 and 6 months of follow-up (MD, 4.92 [95% CI, 1.14-8.71]; P = 0.01 and MD, 7.72 [95% CI, 0.77-14.68]; P = 0.03, respectively).

CONCLUSION

CBT is an effective type of psychotherapy for dealing with depression, mediocre quality of life, and defective physical functioning; therefore, it should be considered in HF patients' care.

Treating depression with a smartphone-delivered self-help cognitive behavioral therapy for insomnia: a parallel-group randomized controlled trial

BACKGROUND

Despite its efficacy in treating comorbid insomnia and depression, cognitive behavioral therapy for insomnia (CBT-I) is limited in its accessibility and, in many countries, cultural compatibility. Smartphone-based treatment is a low-cost, convenient alternative modality. This study evaluated a self-help smartphone-based CBT-I in alleviating major depression and insomnia.

METHODS

A parallel-group randomized, waitlist-controlled trial was conducted with 320 adults with major depression and insomnia. Participants were randomized to receive either a 6-week CBT-I via a smartphone application, proACT-S, or waitlist condition. The primary outcomes included depression severity, insomnia severity, and sleep quality. The secondary outcomes included anxiety severity, subjective health, and acceptability of treatment. Assessments were administered at baseline, post-intervention (week 6) follow-up, and week 12 follow-up. The waitlist group received treatment after the week 6 follow-up.

RESULTS

Intention to treat analysis was conducted with multilevel modeling. In all but one model, the interaction between treatment condition and time at week 6 follow-up was significant. Compared with the waitlist group, the treatment group had lower levels of depression [Center for Epidemiologic Studies Depression Scale (CES-D): Cohen's d = 0.86, 95% CI (-10.11 to -5.37)], insomnia [Insomnia Severity Index (ISI): Cohen's d = 1.00, 95% CI (-5.93 to -3.53)], and anxiety [Hospital Anxiety and Depression Scale - Anxiety subscale (HADS-A): Cohen's d = 0.83, 95% CI (-3.75 to -1.96)]. They also had better sleep quality [Pittsburgh Sleep Quality Index (PSQI): Cohen's d = 0.91, 95% CI (-3.34 to -1.83)]. No differences across any measures were found at week 12, after the waitlist control group received the treatment.

CONCLUSION

proACT-S is an efficacious sleep-focused self-help treatment for major depression and insomnia.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT04228146. Retrospectively registered on 14 January 2020. http://www.w3.org/1999/xlink">https://clinicaltrials.gov/ct2/show/NCT04228146.

Are we ready for Telepsychiatry? Benefits and challenges of digital psychotherapy

Background: Telemedicine is one of the most modern and fastest-growing branches of medicine. The most common form is video consultation. We distinguish between synchronous and asynchronous telepsychiatry. This study aims to show the benefits of using telepsychiatry services, the challenges it poses to users, and to evaluate its use against traditional therapy. Materials and methods: A review of literature from 1956-2023 in EMBASE, OpenKnowledge and PubMed databases was conducted. Keywords used were: telepsychiatry, teletherapy, and digital psychiatry. Ninety-eight articles were included. Discussion: Telepsychiatry is an opportunity for regions affected by medical staff shortages. It bypasses cultural barriers, the problem of traveling and reduces the cost of medical point-of-service. Telepsychiatry is an opportunity for patients who do not use psychiatrists due to discrimination in a conservative society. Groups that may find it challenging include the elderly, the blind, and the deaf. Creating a healthy therapeutic alliance through a screen can be impossible, making it difficult to achieve successful therapy. A barrier to developing telepsychiatry is the need for more guidelines for dealing with medical errors. Conclusions: Telemedicine can help in accessing specialized care regardless of location. Telepsychiatry provides a safe and anonymous environment for patients reluctant to receive inpatient therapy. The effectiveness of online therapy is primarily debated. Telepsychiatry should be limited to follow-up consultations and well-known patients - it is a form of complementing the diagnosis and treatment process. The authors point to the need for developing specific guidelines for conducting teletherapy with particular attention to the problem of suicide. Keywords: telepsychiatry, teletherapy, digital psychiatry.

Applying ensemble machine learning models to predict individual response to a digitally delivered worry postponement intervention

OBJECTIVE

Generalized anxiety disorder (GAD) is a prevalent mental health disorder that often goes untreated. A core aspect of GAD is worry, which is associated with negative health outcomes, accentuating a need for simple treatments for worry. The present study leveraged pretreatment individual differences to predict personalized treatment response to a digital intervention.

METHODS

Linear mixed-effect models were used to model changes in daytime and nighttime worry duration and frequency for 163 participants who completed a six-day worry postponement intervention. Ensemble-based machine learning regression and classification models were implemented to predict changes in worry across the intervention. Model feature importance was derived using SHapley Additive exPlanation (SHAP).

RESULTS

Moderate predictive performance was obtained for predicting changes in daytime worry duration (test r2 = 0.221, AUC = 0.77) and nighttime worry frequency (test r2 = 0.164, AUC = 0.72), while poor predictive performance was obtained for nighttime worry duration and daytime worry frequency. Baseline levels of worry and subjective health complaints were most important in driving model predictions.

LIMITATIONS

A complete-case analysis was leveraged to analyze the present data, which was collected from participants that were Dutch and majority female.

CONCLUSIONS

This study suggests that treatment response to a digital intervention for GAD can be accurately predicted using baseline characteristics. Particularly, this worry postponement intervention may be most beneficial for individuals with high baseline worry but fewer subjective health complaints. The present findings highlight the complexities of and need for further research into daily worry dynamics and the personalizable utility of digital interventions.

Prospective associations of text-message-based sentiment with symptoms of depression, generalized anxiety, and social anxiety

OBJECTIVE

Language patterns may elucidate mechanisms of mental health conditions. To inform underlying theory and risk models, we evaluated prospective associations between in vivo text messaging language and differential symptoms of depression, generalized anxiety, and social anxiety.

METHODS

Over 16 weeks, we collected outgoing text messages from 335 adults. Using Linguistic Inquiry and Word Count (LIWC), NRC Emotion Lexicon, and previously established depression and stress dictionaries, we evaluated the degree to which language features predict symptoms of depression, generalized anxiety, or social anxiety the following week using hierarchical linear models. To isolate the specificity of language effects, we also controlled for the effects of the two other symptom types.

RESULTS

We found significant relationships of language features, including personal pronouns, negative emotion, cognitive and biological processes, and informal language, with common mental health conditions, including depression, generalized anxiety, and social anxiety (ps < .05). There was substantial overlap between language features and the three mental health outcomes. However, after controlling for other symptoms in the models, depressive symptoms were uniquely negatively associated with language about anticipation, trust, social processes, and affiliation (βs: -.10 to -.09, ps < .05), whereas generalized anxiety symptoms were positively linked with these same language features (βs: .12-.13, ps < .001). Social anxiety symptoms were uniquely associated with anger, sexual language, and swearing (βs: .12-.13, ps < .05).

CONCLUSION

Language that confers both common (e.g., personal pronouns and negative emotion) and specific (e.g., affiliation, anticipation, trust, and anger) risk for affective disorders is perceptible in prior week text messages, holding promise for understanding cognitive-behavioral mechanisms and tailoring digital interventions.

Meeting Young Adults' Social Support Needs across the Health Behavior Change Journey: Implications for Digital Mental Health Tools

In pursuit of mental wellness, many find that behavioral change is necessary. This process can often be difficult but is facilitated by strong social support. This paper explores the role of social support across behavioral change journeys among young adults, a group at high risk for mental health challenges, but with the lowest rates of mental health treatment utilization. Given that digital mental health tools are effective for treating mental health conditions, they hold particular promise for bridging the treatment gap among young adults, many of whom, are not interested in - or cannot access - traditional mental healthcare. We recruited a sample of young adults with depression who were seeking information about their symptoms online to participate in an Asynchronous Remote Community (ARC) elicitation workshop. Participants detailed the changing nature of social interactions across their behavior change journeys. They noted that both directed and undirected support are necessary early in behavioral change and certain needs such as informational support are particularly pronounced, while healthy coping partnerships and accountability are more important later in the change process. We discuss the conceptual and design implications of our findings for the next generation of digital mental health tools.

Cognitive behavioral therapy delivered via digital mobile application for the treatment of type 2 diabetes: Rationale, design, and baseline characteristics of a randomized, controlled trial

Background

The prevalence of type 2 diabetes (T2D) continues to rise in the United States and worldwide. Cognitive behavioral therapy (CBT) has been shown to improve glycemic control in patients with T2D, but broad implementation has been limited by inherent access and resource constraints. Digital therapeutics have the potential to overcome these obstacles.

Hypothesis

To describe the rationale and design of a trial evaluating the efficacy and safety of a digital therapeutic providing CBT to improve glycemic control in adults with T2D.

Methods

This randomized, controlled, multicenter, Phase 3 trial evaluates the hypothesis that BT‐001, an investigational digital therapeutic intended to help patients with T2D improve their glycemic control, on top of standard of care therapy, will lower hemoglobin A1c (HbA1c) compared to a control app across a broad range of patients in a real‐world setting. The study is designed to provide evidence to support FDA review of this device as a digital therapeutic. The intervention is provided within the digital application (app) and includes no person‐to‐person coaching. The primary endpoint is the difference in HbA1c change from baseline to 90 days for BT‐001‐allocated subjects compared with those assigned to the control app. Safety assessment includes adverse events and adverse device effects. The study incorporates pragmatic features including entirely remote conduct with at‐home visits for physical measures and blood sample collection.

Conclusions

This randomized, controlled trial evaluates a cognitive behavioral intervention delivered via smartphone app which has the potential to provide a scalable treatment option for patients with T2D.

Efficacy of App-Based Cognitive Behavioral Therapy for Body Dysmorphic Disorder with Coach Support: Initial Randomized Controlled Clinical Trial

INTRODUCTION

Body dysmorphic disorder (BDD) is severe, chronic, and undertreated. Apps could substantially improve treatment access.

OBJECTIVE

We provide an initial test of the usability and efficacy of coach-supported app-based cognitive behavioral therapy (CBT) for BDD. The Perspectives app covers core treatment components: psychoeducation, cognitive restructuring, exposure with response prevention, mindfulness, attention retraining, and relapse prevention.

METHODS

A randomized waitlist-controlled trial was conducted. Adults (N = 80) with primary BDD were assigned to 12 weeks of Perspectives or waitlist. Coaches promoted engagement and answered questions via in-app messaging and phone calls. BDD severity was measured at baseline, mid-treatment, and end of treatment by blinded independent evaluators (Yale-Brown Obsessive Compulsive Scale Modified for BDD; BDD-YBOCS). Secondary outcomes included BDD-related insight, depression, quality of life, and functioning.

RESULTS

App uptake and satisfaction were high. In intent-to-treat analyses, Perspectives app-based CBT was associated with significantly lower BDD-YBOCS severity at end of treatment (M [SD]: 16.8 [7.5]) compared to the waitlist (26.7 [6.2]; p < 0.001, d = 1.44). App-based CBT was associated with greater improvements across all secondary measures, with medium to large effects.

CONCLUSIONS

Perspectives, supported by a bachelor's-level coach, is an efficacious, scalable treatment for adults with BDD.

Impact of online mental health screening tools on help-seeking, care receipt, and suicidal ideation and suicidal intent: Evidence from internet search behavior in a large U.S. cohort

INTRODUCTION

Most people with psychiatric illnesses do not receive treatment for almost a decade after disorder onset. Online mental health screens reflect one mechanism designed to shorten this lag in help-seeking, yet there has been limited research on the effectiveness of screening tools in naturalistic settings.

MATERIAL AND METHODS

We examined a cohort of persons directed to a mental health screening tool via the Bing search engine (n = 126,060). We evaluated the impact of tool content on later searches for mental health self-references, self-diagnosis, care seeking, psychoactive medications, suicidal ideation, and suicidal intent. Website characteristics were evaluated by pairs of independent raters to ascertain screen type and content. These included the presence/absence of a suggestive diagnosis, a message on interpretability, as well as referrals to digital treatments, in-person treatments, and crisis services.

RESULTS

Using machine learning models, the results suggested that screen content predicted later searches with mental health self-references (AUC = 0·73), mental health self-diagnosis (AUC = 0·69), mental health care seeking (AUC = 0·61), psychoactive medications (AUC = 0·55), suicidal ideation (AUC = 0·58), and suicidal intent (AUC = 0·60). Cox-proportional hazards models suggested individuals utilizing tools with in-person care referral were significantly more likely to subsequently search for methods to actively end their life (HR = 1·727, p = 0·007).

DISCUSSION

Online screens may influence help-seeking behavior, suicidal ideation, and suicidal intent. Websites with referrals to in-person treatments could put persons at greater risk of active suicidal intent. Further evaluation using large-scale randomized controlled trials is needed.

How technology can enhance treatment: A scoping review of clinical interventions for anxiety and obsessive-compulsive spectrum disorders

OBJECTIVES

Researchers are increasingly investigating how technology could be used to improve the efficacy of treatment for anxiety and obsessive-compulsive (OC) spectrum disorders. A broad range of technologies, disorders and therapeutic processes have been examined in the literature. This review summarizes the evidence for using technology in clinical interventions for anxiety and OC-spectrum disorders and highlights research gaps that should be addressed to improve the evidence base.

METHODS

A scoping review was conducted based on systematic searches of three databases. Broadly, the criteria included interventions that had integrated technology into clinical contexts to enhance treatment for anxiety and OC-spectrum disorders. All records were double-screened by two reviewers, and data were extracted on the characteristics of interventions, symptom outcomes, and implementation factors.

RESULTS

Searches returned 2,475 studies, of which 117 were eligible for inclusion in this review. Although almost all studies reported pre-post-symptom reductions, only one quarter of the controlled studies demonstrated additive effect of technology-based interventions in between-group analyses. We noted a trend in underreporting implementation factors.

CONCLUSIONS

Technology-based interventions can improve the efficacy of treatment for anxiety and OC-spectrum disorders, but there are challenges to achieving this goal. Based on a review of the included studies, we provide four specific recommendations to improve the quality and likelihood of success of future research projects.

PRACTITIONER POINTS

Technology-based adjuvants are unlikely to improve the efficacy of treatment for anxiety or OC-spectrum disorders based on their novelty or convenience alone. A subset of studies gives hope that specific innovations can improve treatment when targeting a therapeutic process that has been problematic. Clinicians seeking to improve the efficacy of their treatment should first define client-specific therapeutic factors (e.g., homework compliance) that could be leveraged, then apply a specific innovation to address this factor.

[Telemedicine in mobile geriatric rehabilitation : Results of the VITAAL study]

BACKGROUND

In order to implement the principle of rehabilitation before care, adaptive concepts for geriatric patients are required. Patients with visual impairments, impaired communication skills, mental illnesses or cognitive deficits are often not or only insufficiently treatable in a rehabilitation clinic. Mobile geriatric rehabilitation (MoGeRe) closes this gap in the care system, but its scope is limited. With the 22 locations in Germany, it is not possible to make a comprehensive MoGeRe possible so far. Telemedicine offers solutions here.

OBJECTIVE

Telemedicine supplements to MoGeRe in the form of video visits and video recording were examined with respect to their feasibility and acceptance in a very old target group.

METHOD

A total of 101 video visits and 26 diagnostic video recordings were carried out with 25 patients. Interviews with patients and team members were evaluated with the help of a qualitative content analysis.

RESULTS AND DISCUSSION

In particular, the acceptance of the video visit was high among all those involved. Its potential lies in the adaptation of the individual treatment, motivation, medical guidance and supervision of the team. The video recording can offer the opportunity to enrich the interdisciplinary exchange and to evaluate and adapt the therapeutic procedure. Specific strategies such as accompanying relatives, explaining the procedure and good timing are necessary for cognitively impaired patients. Our results prove that older people should also be taken into account as users of digital media.

The Effects of a Digital Mental Health Intervention in Adults With Cardiovascular Disease Risk Factors: Analysis of Real-World User Data

Background

The American Heart Association has identified poor mental health as a key barrier to healthy behavior change for those with cardiovascular disease (CVD) risk factors such as high blood pressure, high cholesterol, and diabetes. Digital mental health interventions, like those delivered via the internet to computers or smartphones, may provide a scalable solution to improving the mental and physical health of this population. Happify is one such intervention and has demonstrated evidence of efficacy for improving aspects of mental health in both the general population and in users with chronic conditions.

Objective

The objectives of this analysis of real-world data from Happify users with self-reported CVD risk factors, including high blood pressure and cholesterol, diabetes, and heart disease, were to examine whether these users would report improvements in subjective well-being and anxiety over time (H1) and use of Happify as recommended would be associated with significantly greater improvement in subjective well-being and anxiety over time compared to less-than-recommended usage (H2).

Methods

Data were obtained from existing Happify users who reported the aforementioned CVD risk factors. The sample included 1803 users receiving at least 6 weeks’ exposure to Happify (ranging from 42 days to 182 days) who completed at least one activity and two assessments within the app during that time. Subjective well-being was assessed with the Happify Scale, a 9-item measure of positive emotionality and life satisfaction, and anxiety was assessed with the Generalized Anxiety Disorder 2 (GAD-2). To evaluate H1, changes over time in both outcomes were assessed using mixed effects linear regression models, controlling for demographics and usage. For H2, an interaction term was added to the models to assess whether usage as recommended was associated with greater improvement over time.

Results

Both hypotheses were supported. For both the Happify scale and GAD-2, the initial multivariable model without an interaction demonstrated an effect for time from baseline, and the addition of the interaction term between time and recommended use was significant as well.

Conclusions

This analysis of real-world data provides preliminary evidence that Happify users with self-reported CVD risk factors including high blood pressure or cholesterol, diabetes, and heart disease experienced improved well-being and anxiety over time and that those who used Happify as recommended experienced greater improvements in these aspects of mental health than those who completed fewer activities. These findings extend previous research, which demonstrated that engagement with Happify as recommended was associated with improved well-being among physically healthy users and in those with chronic conditions, to a new population for whom mental health is especially critical: those at risk of developing CVD.

Conducting Digital Health Care Research: Document Analysis of Challenges Experienced During Intervention Development and Feasibility Study Setup of an Internet-Administered Intervention for Parents of Children Treated for Cancer

Background

The design and conduct of research to develop, test, and evaluate complex health care interventions is challenging. Although the existing literature describes key challenges associated with the design and conduct of definitive (evaluation) trials, there is a lack of information concerning specific challenges associated with the intervention development phase and setup of feasibility studies. In particular, the literature is scarce concerning the challenges associated with conducting digital health care research, such as research on internet-administered interventions and research using digital features to support the execution of study procedures (eg, recruitment, consent, retention, and data collection and management). This study is conducted in the context of the intervention development and feasibility study setup phases of an internet-administered, guided, low-intensity cognitive behavioral therapy–based intervention for parents of children previously treated for cancer.

Objective

The aim of this study is to explore the challenges experienced during the development phase of the internet-administered intervention and digital features to support the execution of the study procedures and a feasibility study setup.

Methods

To explore the key challenges experienced, we conducted a document analysis of written records from all study meetings held by the research team (meeting minutes) between June 7, 2018, and January 10, 2020, guided by a thematic analysis approach. Furthermore, discussion groups with members of the research team were held to develop a more detailed understanding of the key challenges experienced. Methods and results are reported in accordance with the relevant items from the Standards for Reporting Qualitative Research checklist.

Results

Six main themes were identified: decision-making and communication, expertise, external constraints, flexibility, planning and scheduling, and technical constraints.

Conclusions

Significant challenges were experienced during the intervention development and setup phases of the feasibility study. Implications are discussed to inform future design, conduct, and planning of internet-administered intervention development and feasibility studies, especially within the context of digital health care research.

Just-in-Time Adaptive Mechanisms of Popular Mobile Apps for Individuals With Depression: Systematic App Search and Literature Review

BACKGROUND

The number of smartphone apps that focus on the prevention, diagnosis, and treatment of depression is increasing. A promising approach to increase the effectiveness of the apps while reducing the individual's burden is the use of just-in-time adaptive intervention (JITAI) mechanisms. JITAIs are designed to improve the effectiveness of the intervention and reduce the burden on the person using the intervention by providing the right type of support at the right time. The right type of support and the right time are determined by measuring the state of vulnerability and the state of receptivity, respectively.

OBJECTIVE

The aim of this study is to systematically assess the use of JITAI mechanisms in popular apps for individuals with depression.

METHODS

We systematically searched for apps addressing depression in the Apple App Store and Google Play Store, as well as in curated lists from the Anxiety and Depression Association of America, the United Kingdom National Health Service, and the American Psychological Association in August 2020. The relevant apps were ranked according to the number of reviews (Apple App Store) or downloads (Google Play Store). For each app, 2 authors separately reviewed all publications concerning the app found within scientific databases (PubMed, Cochrane Register of Controlled Trials, PsycINFO, Google Scholar, IEEE Xplore, Web of Science, ACM Portal, and Science Direct), publications cited on the app's website, information on the app's website, and the app itself. All types of measurements (eg, open questions, closed questions, and device analytics) found in the apps were recorded and reviewed.

RESULTS

None of the 28 reviewed apps used JITAI mechanisms to tailor content to situations, states, or individuals. Of the 28 apps, 3 (11%) did not use any measurements, 20 (71%) exclusively used self-reports that were insufficient to leverage the full potential of the JITAIs, and the 5 (18%) apps using self-reports and passive measurements used them as progress or task indicators only. Although 34% (23/68) of the reviewed publications investigated the effectiveness of the apps and 21% (14/68) investigated their efficacy, no publication mentioned or evaluated JITAI mechanisms.

CONCLUSIONS

Promising JITAI mechanisms have not yet been translated into mainstream depression apps. Although the wide range of passive measurements available from smartphones were rarely used, self-reported outcomes were used by 71% (20/28) of the apps. However, in both cases, the measured outcomes were not used to tailor content and timing along a state of vulnerability or receptivity. Owing to this lack of tailoring to individual, state, or situation, we argue that the apps cannot be considered JITAIs. The lack of publications investigating whether JITAI mechanisms lead to an increase in the effectiveness or efficacy of the apps highlights the need for further research, especially in real-world apps.

Psychiatry in the Digital Age: A Blessing or a Curse?

Social distancing and the shortage of healthcare professionals during the COVID-19 pandemic, the impact of population aging on the healthcare system, as well as the rapid pace of digital innovation are catalyzing the development and implementation of new technologies and digital services in psychiatry. Is this transformation a blessing or a curse for psychiatry? To answer this question, we conducted a literature review covering a broad range of new technologies and eHealth services, including telepsychiatry; computer-, internet-, and app-based cognitive behavioral therapy; virtual reality; digital applied games; a digital medicine system; omics; neuroimaging; machine learning; precision psychiatry; clinical decision support; electronic health records; physician charting; digital language translators; and online mental health resources for patients. We found that eHealth services provide effective, scalable, and cost-efficient options for the treatment of people with limited or no access to mental health care. This review highlights innovative technologies spearheading the way to more effective and safer treatments. We identified artificially intelligent tools that relieve physicians from routine tasks, allowing them to focus on collaborative doctor-patient relationships. The transformation of traditional clinics into digital ones is outlined, and the challenges associated with the successful deployment of digitalization in psychiatry are highlighted.

Stress management interventions among socioeconomically disadvantaged parents: A meta-analysis and moderation analysis

BACKGROUND

Socioeconomically disadvantaged parents experience high levels of stress, anxiety, and depression. Many interventions have been tested to reduce parental stress, but no meta-analysis has been conducted to quantitatively summarize the effects and explore the moderators of intervention effects among socioeconomically disadvantaged parents.

OBJECTIVE

This meta-analysis aimed to (1) quantitatively examine the intervention effects of prior stress management interventions among socioeconomically disadvantaged parents on reducing stress, depression, and anxiety; and (2) explore the potential moderators of intervention effects.

METHODS

Six databases, including CINAHL, PubMed, PsycINFO, Sociological Abstracts, Web of Science, and Cochrane, were searched in February 2021. After a two-step literature screening by two independent reviewers, 45 eligible articles were retained. Two evaluators independently assessed each eligible study's quality using the Evidence Project risk of bias tool. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement guided the report. Meta-analyses (random-effects model) and moderation analyses (mixed-effects model) were performed.

RESULTS

Previous stress management interventions had a small effect of -0.24 in reducing parental stress (95% confidence interval [CI]: -0.33, -0.15) with a 7.6-month follow-up effect of -0.12 (95% CI: -0.27, 0.04). The pooled effects on reducing depression were -0.15 (95% CI: -0.26, -0.04) with a 9-month follow-up effect of 0.02 (95% CI: -0.21, 0.26). Two studies measured anxiety, and the average effects were -0.03 (95% CI: -0.16, 0.11). Intervention effects on stress were significantly moderated by country (p = .005), study design (p < .001), and intervention duration (p = .030). Interventions conducted in developing countries (g = -0.52) had a significantly larger effect in reducing stress than those conducted in developed countries (g = -0.19). Studies using a quasi-experimental design (g = -0.47) resulted in a significantly greater effect in reducing stress than RCTs (g = -0.12). Interventions with a duration of 1-3 months (g = -0.36) had a greater effect in reducing stress than those with a longer duration (g = -0.11 for 3-6 months, -0.20 for >6 months). Intervention effects on reducing depression were significantly moderated by intervention component (p = .030). Cognitive behavioral therapy (g = -0.20) and mindfulness-based interventions (g = -0.16) resulted in greater effects in reducing depression than interventions focusing on parenting/life/self-care skills (g  =  0.003).

CONCLUSIONS

Previous stress management interventions have short-term beneficial effects on reducing parental stress and depression, but long-term follow-up effects are limited. Short-duration (1-3 months) mindfulness-based interventions and cognitive behavioral therapy in clinical settings are recommended for socioeconomically disadvantaged parents to reduce stress and depression.

Psychosocial issues in isolated and confined extreme environments

PALINKAS, L.A., and P. SUEDFELD. Psychosocial Issues in Isolated and Confined Extreme Environments. NEUROSCI BIOBEHAV REV (1) XXX-XXX, 2020. Psychosocial elements of behavior and performance will significantly impact the outcomes of long duration missions in space, ranging from individual and team decrements to positive benefits associated with successful adaptation. This paper reviews our current understanding of the individual, interpersonal and organizational issues related to living and working in isolated and confined extreme (ICE) environments. Individual issues include changes in emotions and cognitive performance; seasonal syndromes linked to changes in the physical environment; and positive effects of adapting to ICE environments. Interpersonal issues include processes of crew cohesion, tension and conflict; interpersonal relations and social support; the impact of group diversity and leadership styles on small group dynamics; and crew-mission control interactions. Organizational issues include the influence of organizational culture and mission duration on individual and group performance, crew autonomy, and managerial requirements for long duration missions. Improved screening and selection, leadership, coping and interpersonal skills training, and organizational change are key elements to optimizing adjustment to the environment and preventing decrements during and after long duration missions.

Digital Therapeutics for Obesity and Eating-Related Problems

In recent years, digital technologies have rapidly advanced and are being applied to remedy medical problems. These technologies allow us to monitor and manage our physical and mental health in our daily lives. Since lifestyle modification is the cornerstone of the management of obesity and eating behavior problems, digital therapeutics (DTx) represent a powerful and easily accessible treatment modality. This review discusses the critical issues to consider for enhancing the efficacy of DTx in future development initiatives. To competently adapt and expand public access to DTx, it is important for various stakeholders, including health professionals, patients, and guardians, to collaborate with other industry partners and policy-makers in the ecosystem.

Effectiveness of Smartphone-Based Cognitive Behavioral Therapy Among Patients With Major Depression: Systematic Review of Health Implications

BACKGROUND

Depression is often associated with rapid changes in mood and quality of life that persist for a period of 2 weeks. Despite medical innovations, there are problems in the provision of care. Long waiting times for treatment and high recurrence rates of depression cause enormous costs for health care systems. At the same time, comprehensive limitations in physical, psychological, and social dimensions are observed for patients with depression, which significantly reduce their quality of life. In addition to patient-specific limitations, undersupply and inappropriate health care have been determined. For this reason, new forms of care are discussed. Smartphone-based therapy is considered to have great potential due to its reach and easy accessibility. Low socioeconomic groups, which are always difficult to reach for public health interventions, can now be accessed due to the high dispersion of smartphones. There is still little information about the impact and mechanisms of smartphone-based therapy on depression. In a systematic literature review, the health implications of smartphone-based therapy were presented in comparison with standard care.

OBJECTIVE

The objective of this review was to identify and summarize the existing evidence regarding smartphone-based cognitive behavioral therapy for patients with depression and to present the health implications of smartphone-based cognitive behavioral therapy of considered endpoints.

METHODS

A systematic literature review was conducted to identify relevant studies by means of inclusion and exclusion criteria. For this purpose, the PubMed and Psyndex databases were systematically searched using a search syntax. The endpoints of depressive symptoms, depression-related anxiety, self-efficacy or self-esteem, and quality of life were analyzed. Identified studies were evaluated for study quality and risk of bias. After applying the inclusion and exclusion criteria, 8 studies were identified.

RESULTS

The studies examined in this review reported contradictory results regarding the investigated endpoints. In addition, due to clinical and methodological heterogeneity, it was difficult to derive evident results. All included studies reported effects on depressive symptoms. The other investigated endpoints were only reported by isolated studies. Only 50% (4/8) of the studies reported effects on depression-related anxiety, self-efficacy or self-esteem, and quality of life.

CONCLUSIONS

No clear implications of smartphone-based cognitive behavioral therapy could be established. Evidence for the treatment of depression using smartphone-based cognitive behavioral therapy is limited. Additional research projects are needed to demonstrate the effects of smartphone-based cognitive behavioral therapy in the context of evidence-based medicine and to enable its translation into standard care. Participatory technology development might help to address current problems in mobile health intervention studies.