Digital psychotherapy as an effective and timely treatment option for depression and anxiety disorders: Implications for rural and remote practice

Evaluation and Future Challenges in a Self-Guided Web-Based Intervention With and Without Chat Support for Depression and Anxiety Symptoms During the COVID-19 Pandemic: Randomized Controlled Trial

BACKGROUND

The COVID-19 pandemic has had an impact on mental health worldwide. Low- and middle-income countries were largely affected by it. Mexico was one of the most affected countries. Extended periods of lockdowns, isolation, and social distancing, among other factors, highlighted the need to introduce web-based psychological interventions to the Mexican population. In this context, Mental Health COVID-19 emerged as a self-guided web-based intervention (SGWI) aimed at adults to improve mental health during the COVID-19 pandemic.

OBJECTIVE

This study aims to assess the efficacy of 2 modalities of a self-guided intervention (with and without chat support) in reducing depression symptoms, generalized anxiety, community posttraumatic stress, widespread fear, anxiety, sleep quality, physiological and affective coping, and suicide ideation. In addition, it aimed to compare the moderating role of coping strategies, acceptance, and satisfaction in participants' symptom reduction. We hypothesize that the self-guided, chat-supported modality will show higher efficacy than the modality without chat support in achieving clinical change and better performance as a moderator of depression symptoms, generalized anxiety, community posttraumatic stress, widespread fear, anxiety, sleep quality, physiological and affective coping, and suicide ideation, as well as an increase in participants' satisfaction and acceptability.

METHODS

A randomized controlled trial was conducted. Data were collected from May 2020 to June 2022. We performed intrasubject measures at 4 evaluation periods: pretest, posttest, and follow-up measurements at 3 and 6 months. Differences between intervention groups were assessed through the Mann-Whitney U test for continuous variables and the chi-square test for categorical variables. Changes due to intervention were analyzed using Wilcoxon W test. Moderated regression analysis was performed to test the hypothesized moderating role of coping strategies, usability, and opinion about treatment on clinical change.

RESULTS

A total of 36 participants completed the intervention; of these, 5 (14%) were part of the SGWI group, and 31 (86%) were on the SGWI plus chat support (SGWI+C) group, which included a chat service with therapists. The perceived high complexity of the system for the SGWI group had a moderating effect associated with a lack of efficacy of the intervention regarding depression, but not when controlled for sociodemographic variables. A perception of lower helpfulness of the intervention was associated with poorer outcomes. Coping strategies did not show moderating effects.

CONCLUSIONS

Enhancing the utility of web-based interventions for reducing clinical symptoms by incorporating a support chat to boost treatment adherence seemed to improve the perception of the intervention's usefulness. Web-based interventions face several challenges, such as eliminating complexities in platform use and increasing the users' perceived utility of the intervention, among other issues identified in the study.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04468893; https://clinicaltrials.gov/study/NCT04468893?tab=results.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/23117.

The Impact of Digital Health Solutions on Bridging the Health Care Gap in Rural Areas: A Scoping Review

Digital health tools can improve health care access and outcomes for individuals with limited access to health care, particularly those residing in rural areas. This scoping review examines the existing literature on using digital tools in patients with limited access to health care in rural areas. It assesses their effectiveness in improving health outcomes. The review adopts a comprehensive search strategy to identify relevant studies from electronic databases, and the selected studies are analyzed descriptively. The findings highlight the advantages and barriers of digital health interventions in rural populations. The advantages include increased access to health care practitioners through teleconsultations, improved health care outcomes through remote monitoring, better disease management through mobile health applications and wearable devices, and enhanced access to specialized care and preventive programs. However, limited internet connectivity and a lack of familiarity with digital tools are barriers that must be addressed to ensure equitable access to digital health interventions in rural areas. Overall, digital tools improve health outcomes for individuals with limited health care access in rural areas.

Digital Mental Health Interventions for Alleviating Depression and Anxiety During Psychotherapy Waiting Lists: Systematic Review

BACKGROUND

Depression and anxiety have become increasingly prevalent across the globe. The rising need for treatment and the lack of clinicians has resulted in prolonged waiting times for patients to receive their first session. Responding to this gap, digital mental health interventions (DMHIs) have been found effective in treating depression and anxiety and are potentially promising pretreatments for patients who are awaiting face-to-face psychotherapy. Nevertheless, whether digital interventions effectively alleviate symptoms for patients on waiting lists for face-to-face psychotherapy remains unclear.

OBJECTIVE

This review aimed to synthesize the effectiveness of DMHIs for relieving depression and anxiety symptoms of patients on waiting lists for face-to-face therapy. This review also investigated the features, perceived credibility, and usability of DMHIs during waiting times.

METHODS

In this systematic review, we searched PubMed, PsycINFO, Cochrane, and Web of Science for research studies investigating the effectiveness of DMHIs in reducing either depression or anxiety symptoms among individuals waiting for face-to-face psychotherapy. The search was conducted in June 2024, and we have included the studies that met the inclusion criteria and were published before June 6, 2024.

RESULTS

Of the 9267 unique records identified, 8 studies met the eligibility criteria and were included in the systematic review. Five studies were randomized controlled trials (RCTs), and 3 studies were not. Among the RCTs, we found that digital interventions reduced depression and anxiety symptoms, but the majority of interventions were not more effective compared to the control groups where participants simply waited or received a self-help book. For the non-RCTs, the interventions also reduced symptoms, but without control groups, the interpretation of the findings is limited. Finally, participants in the included studies perceived the digital interventions to be credible and useful, but high dropout rates raised concerns about treatment adherence.

CONCLUSIONS

Due to the lack of effective interventions among the reviewed studies, especially among the RCTs, our results suggest that waiting list DMHIs are not more effective compared to simply waiting or using a self-help book. However, more high-quality RCTs with larger sample sizes are warranted in order to draw a more robust conclusion. Additionally, as this review revealed concerns regarding the high dropout rate in digital interventions, future studies could perhaps adopt more personalized and human-centered functions in interventions to increase user engagement, with the potential to increase treatment adherence and effectiveness.

Patients' and Therapists' Views of Integrated Online CBT for Depression

BACKGROUND

CBT is an effective treatment for depression, but access varies across the United Kingdom. Online CBT increases access. The INTERACT platform was designed to support patient engagement in CBT, enabling therapists to deliver high-intensity CBT via typed instant messaging and allowing patients and therapists access to an integrated online library of resources during and between sessions.

METHODS

The INTERACT trial aimed to evaluate this integrated approach to delivering CBT for primary care patients with depression. A nested qualitative study was conducted within the trial. Interviews were conducted with 20 patients who received the intervention, 9 therapists who delivered it and 3 therapist supervisors. Data were analysed using thematic analysis.

RESULTS

The combination of receiving support from a therapist and having access to integrated online CBT resources enabled patients to better manage their depression. Platform benefits included the opportunity to review transcripts to clarify how to complete homework tasks and track progress in managing their depression. The typing process allowed reflection and a focused discussion. However, less could be covered than during an in-person session, which reduced therapists' expectations around goal setting. Patients who did not complete therapy struggled with the typing and found the CBT approach too demanding.

CONCLUSION

Findings highlight the importance of establishing patient and therapist goals and expectations about what can be achieved in CBT mediated by typing. Some patients are comfortable communicating via typing and are motivated to utilise online resources in between sessions. Exploring the benefits and challenges of typed CBT with patients will enable them to make an informed choice about referral for this novel approach to therapy.

PATIENT OR PUBLIC CONTRIBUTION

Patients, service users and members of the public were involved in the study design and management. Substantial pilot work gathered stakeholder feedback and informed the design of the intervention, before undertaking the RCT. Coauthor P.L. is a service user representative co-applicant and member of the management group responsible for developing the intervention and the trial. Two PPI members sit on the Independent Steering Committee. PPI members provided valuable feedback on the study resources and documents.

Digital Lifestyle Interventions for Young People With Mental Illness: A Qualitative Study Among Mental Health Care Professionals

BACKGROUND

Given the physical health disparities associated with mental illness, targeted lifestyle interventions are required to reduce the risk of cardiometabolic disease. Integrating physical health early in mental health treatment among young people is essential for preventing physical comorbidities, reducing health disparities, managing medication side effects, and improving overall health outcomes. Digital technology is increasingly used to promote fitness, lifestyle, and physical health among the general population. However, using these interventions to promote physical health within mental health care requires a nuanced understanding of the factors that affect their adoption and implementation.

OBJECTIVE

Using a qualitative design, we explored the attitudes of mental health care professionals (MHCPs) toward digital technologies for physical health with the goal of illuminating the opportunities, development, and implementation of the effective use of digital tools for promoting healthier lifestyles in mental health care.

METHODS

Semistructured interviews were conducted with MHCPs (N=13) using reflexive thematic analysis to explore their experiences and perspectives on using digital health to promote physical health in youth mental health care settings.

RESULTS

Three overarching themes from the qualitative analysis are reported: (1) motivation will affect implementation, (2) patients' readiness and capability, and (3) reallocation of staff roles and responsibilities. The subthemes within, and supporting quotes, are described.

CONCLUSIONS

The use of digital means presents many opportunities for improving the provision of physical health interventions in mental health care settings. However, given the limited experience of many MHCPs with these technologies, formal training and additional support may improve the likelihood of implementation. Factors such as patient symptomatology, safety, and access to technology, as well as the readiness, acceptability, and capability of both MHCPs and patients to engage with digital tools, must also be considered. In addition, the potential benefits of data integration must be carefully weighed against the associated risks.

The Effectiveness of Digital-Based Psychotherapy in Overcoming Psychological Problems in College Students During the COVID-19 Pandemic: A Scoping Review

Purpose: This review aims to determine the effectiveness of the application of digital-based psychotherapy in overcoming the psychological problems of college students during the COVID-19 pandemic. Methods: Several databases consisting of EBSCO-Host CINAHL, PubMed, Scopus, Sage Journal, and Taylor and Francis were used in the search process and resulted in experimental studies focusing on the effectiveness of the application of digital-based psychotherapy during the COVID-19 pandemic timeline (2019-2022). Descriptive and exploratory analyses were performed based on the data set from the study. Results: A total of 12 articles were included in the review. The digital psychotherapy interventions found are diverse including websites, smartphone applications, and video conferencing with the types of therapies provided in the form of, Cognitive Therapy, Cognitive-Behavioral Therapy, Psychodynamic Therapy, and Mindfulness Therapy. Each intervention has a diverse duration and frequency adjusting to the type of therapy given. Digital psychotherapeutic interventions are effective in reducing mental health problems among college students during the COVID-19 pandemic. Conclusions: The use of digital psychotherapy can be used as a prevention and support service for students who experience psychological problems during the COVID-19 pandemic. The combination of the use of digital media with video conferencing can be considered to increase the effectiveness of this service. Nurses need to understand how the procedure for implementing digital-based psychotherapy is to improve the quality of mental care services as an effort to prevent and support students. More research is needed to find out the effectiveness of the use of digital psychotherapy services and how they impact the psychological well-being of students holistically.

Role of brain renin-angiotensin system in depression: A new perspective

Depression is a mood disorder characterized by abnormal thoughts. The pathophysiology of depression is related to the deficiency of serotonin (5HT), which is derived from tryptophan (Trp). Mitochondrial dysfunction, oxidative stress, and neuroinflammation are involved in the pathogenesis of depression. Notably, the renin-angiotensin system (RAS) is involved in the pathogenesis of depression, and different findings revealed that angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) may be effective in depression. However, the underlying mechanism for the role of dysregulated brain RAS-induced depression remains speculative. Therefore, this review aimed to revise the conceivable role of ACEIs and ARBs and how these agents ameliorate the pathophysiology of depression. Dysregulation of brain RAS triggers the development and progression of depression through the reduction of brain 5HT and expression of brain-derived neurotrophic factor (BDNF) and the induction of mitochondrial dysfunction, oxidative stress, and neuroinflammation. Therefore, inhibition of central classical RAS by ARBS and ACEIs and activation of non-classical RAS prevent the development of depression by regulating 5HT, BDNF, mitochondrial dysfunction, oxidative stress, and neuroinflammation.

Psychosocial Interventions for Children and Young People With Visible Differences Resulting From Appearance-Altering Conditions, Injury, or Treatment Effects: An Updated Systematic Review

OBJECTIVE

Children and young people with visible differences can experience psychosocial difficulties, such as anxiety and teasing by others. Interventions targeting difficulties have previously been reviewed by Jenkinson et al. This review aimed to identify and critically assess recent studies evaluating the effectiveness of psychosocial interventions for children and young people with visible differences on psychosocial wellbeing, self-esteem, and social experiences and compare the findings with Jenkinson et al. using a replacement review process.

METHODS

Inclusion criteria are as follows: studies with participants aged 0-18 years with visible differences; investigating a psychosocial intervention; including comparison with an alternative intervention, control group, or pre- and post-intervention; and including a quantitative measure assessed pre- and post-intervention. Exclusion criteria are as follows: participants with body dysmorphic disorder or appearance changes due to eating disorders or obesity and studies not written in English. MEDLINE, AMED, and PsycInfo were searched and grey literature was included. Results were reviewed against eligibility criteria, data were extracted, and studies were evaluated using the Cochrane Risk of Bias 2 tool.

RESULTS

Using Jenkinson et al. as one source of studies, 24 studies were included evaluating a range of interventions such as social interaction skills training, residential social camps, and cognitive behavioral therapy. Risk of bias was high in 20 studies and of some concern in four studies.

CONCLUSION

There is some evidence of the effectiveness of hypnotherapy, a relaxation response resiliency program, integrative body-mind-spirit group, and therapeutic patient education, but more rigorous research is needed to confirm their impact on psychosocial outcomes.

Psychotherapy, artificial intelligence and adolescents: ethical aspects

Artificial intelligence (AI) has rapidly advanced in various domains, including its application in psychotherapy. AI-powered psychotherapy tools present promising solutions for increasing accessibility to mental health care. However, the integration of AI in psychotherapy raises significant ethical concerns that require thorough consideration and regulation to ensure ethical practice, patient safety, and data privacy. This article discusses the ethical considerations surrounding the utilization of AI in psychotherapy, emphasizing the need for responsible implementation, patient privacy, and the human-AI interaction. The challenge raised by the use of artificial intelligence requires a comprehensive approach. Schools, in particular, are crucial in providing both knowledge and ethical guidance, helping young individuals decipher the complexities of online content. Additionally, parental support is essential, requiring the provision of time, fostering relationships, encouraging dialogue, and creating a safe environment to share experiences amidst the intricacies of adolescence. Reimagining social and healthcare services tailored for adolescents is equally crucial, taking into account recent societal changes. The integration of AI in psychotherapy has vast potential to transform mental healthcare. However, ensuring its accuracy and effectiveness demands a proactive approach to address associated ethical considerations. By adopting responsible practices, preserving patient autonomy, and continually refining AI systems, the field can leverage the benefits of AI in psychotherapy while maintaining high ethical standards.

Third-wave cognitive behavioral therapies for caregivers of cancer patients: a scoping review

BACKGROUND

Cancer caregivers extend comprehensive support covering all aspects of patients' daily lives. It has been reported that a significant proportion of cancer caregivers experience emotional distress. As one way to solve this problem, third-wave cognitive behavioral therapies (CBT), which involves integrating acceptance and mindfulness into cognitive‒behavioral therapy, has been applied to improve caregiver outcomes.

METHODS

A scoping review was conducted based on the scoping review guidelines proposed by the Jonna Briggs Institute (JBI). The population was caregivers of cancer patients, the concept was third-wave CBT, and the context remained open. English and Korean publications published from 2001 to June 2022 were identified from PubMed, Embase, CINAHL, PsycINFO, Cochrane, Korea Med, and RISS.

RESULTS

A total of 12 studies were included in this scoping review. Mindfulness-Based Stress Reduction (MBSR) and Acceptance and Commitment Therapy (ACT) was the most frequently applied intervention (n = 3, each). Among the components of third-wave CBT, 'mindfulness' was identified in all the studies reviewed (n = 12). Dyadic interventions comprised the majority (n = 9). Interventions using digital technologies such as mobile application/web page (n = 3), telephone (n = 3), and FaceTime (n = 2) have increased since 2017. Depression was the most frequently evaluated outcome (n = 8), followed by anxiety and mindfulness (n = 6, each).

CONCLUSIONS

The current review explored available third-wave CBT intervention studies for cancer caregivers and targeted outcomes. Most of the interventions were dyadic interventions and utilized mindfulness. Delivery methods were continuously updated with digital technologies. Further RCTs with robust research designs and a synthesis of the results of the trials would provide evidence about how to effectively apply third-wave CBTs for cancer caregivers.

Defining digital coaching: a qualitative inductive approach

The term 'digital coaching' is widely used but ill-defined. The present study therefore investigates how digital coaching is defined and how it differentiates from face-to-face coaching and other digital-technology-enabled (DT-enabled) formats, such as digital training, digital mentoring, or digital consulting. A qualitative inductive approach was chosen for more in-depth and open-minded content. Based on previous studies on the importance of asking coaches working in the field, 260 coaches working in the field of digital coaching were surveyed. The given answers depict the importance of differing between forms of DT-enabled coaching. Thus, digital coaching is a DT-enabled, synchronous conversation between a human coach and a human coachee, which is different to artificial intelligence (AI) coaching and coaching that is supported by asynchronous digital and learning communication technologies. Due to this definition and differentiation, future studies can explore the digital coaching process and its effectiveness - particularly in comparison to other formats. Furthermore, this clear definition enables practitioners to maintain professional standards and manage client's expectations of digital coaching while helping clients understand what to expect from digital coaching.

Implementing Digital Cognitive-Behavioral Therapy for Major Depressive Disorder in Routine Psychiatric Appointments: A Pilot Project in a Rural Population

Psychotherapy is well-established as an effective treatment for major depressive disorder (MDD). However, many individuals with MDD in rural areas of the United States do not have access to psychotherapy. Self-management (SM) strategies are now the standard of care for chronic medical conditions and may be a viable alternative for individuals without access to psychotherapy. The current article describes the implementation of a 13-week pilot project to integrate digital cognitive-behavioral therapy (dCBT) SM programs into routine psychiatric advanced practice nurse (APN) telehealth appointments in the rural United States. Eight participants completed the project. The project did not meet the benchmark of 20 participants to improve access to treatment; however, one half (n = 4) of participants reported clinically significant improvement in MDD symptoms over 6 weeks. For clients without access to psychotherapy, dCBT SM programs can be effective in improving individual client outcomes when implemented by APNs in routine telehealth appointments. [Journal of Psychosocial Nursing and Mental Health Services, 61(10), 44-51.].

Digital Therapy: Alleviating Anxiety and Depression in Adolescent Students During COVID-19 Online Learning - A Scoping Review

The learning method has changed from offline to online since Coronavirus Disease 2019 pandemic cause mental health problems in students such as stress, anxiety, and even depression. Interventions to reduce mental health problems in adolescents need to be carried out digitally to reduce the transmission of Coronavirus Disease 2019. The purpose of this study is to explore methods of digital therapy to reduce symptoms of anxiety and depression among students during the Coronavirus Disease 2019. A scoping review study design was used in this study. Database the study from CINAHL, PubMed, and Scopus databases. This study used PRISMA Extension for Scoping Reviews (PRISMA-ScR) and for quality appraisal used JBI Quality Appraisal. The inclusion criteria for articles in this study are full text, randomized control trial or quasi-experiment research design, English language, students sample, and the publication period during COVID-19 pandemic (2019-2022). There were found 13 articles discussing digital therapy and it was found that the digital therapy model to reduce anxiety and depression includes directions through digital modules, directions via video, and asynchronous discussions via online meeting. The sample range in this study is 37-1986 students. Most of the articles come from developed countries. Delivery services of digital therapy consist of three phases, namely psycho-education, problem-solving, and implementation of problem-solving strategies. The authors found that there are four digital therapy methods, namely Improving psychological abilities, Bias-modification intervention, Self-help intervention, and Mindfulness intervention. The implementation of digital therapy must still pay attention to various aspects that affect students, so that therapists need to pay attention to physical, psychological, spiritual, and cultural aspects. Here we highlight, digital therapy interventions are proven for improving mental health by reducing depression and anxiety levels among students during the COVID-19 pandemic by paying attention to all aspects that affect students.

Types of Digital-Based Nursing Interventions for Reducing Stress and Depression Symptoms on Adolescents During COVID-19 Pandemic: A Scoping Review

COVID-19 pandemic can cause problems in adolescent mental health such as anxiety, depression, and stress. This is because the distance barrier becomes an obstacle in handling mental health in adolescents. The use of technology has the potential to deal with mental health problems. The purpose of this study was to describe the types of digital-based nursing interventions to reduce symptoms of stress and depression on adolescents during the COVID-19 pandemic. This study used the Scoping Review method. Literature from CINAHL, PubMed, and ProQuest databases. The keywords were adolescent, depression, stress, digital, application, and nursing intervention in English. The criteria for articles in this study were full-text articles, the sample of adolescents, digital-based intervention, articles are original research, and time setting 2018-2022. We found 11 articles discussing digital-based nursing interventions to reduce symptoms of stress and depression in adolescents. There are 2 types of intervention, namely mobile-based intervention, and web-based intervention. The two interventions can be combined to become a method of providing digital nursing interventions that are effective and can reach the entire community. Digital-based nursing interventions are carried out by paying attention to physical, psychological, spiritual, and cultural aspects to improve the goals of nursing care so that they can be significant in reducing stress and depression in adolescents during the Covid-19 pandemic. Digital-based nursing interventions consisting of mobile-based intervention and web-based intervention can improve mental health among adolescents by reducing stress, anxiety, depression, and increasing resilience, well-being, and self-efficacy.

Two decades of digital interventions for anxiety disorders: a systematic review and meta-analysis of treatment effectiveness

BACKGROUND

Digital interventions for anxiety disorders are a promising solution to address barriers to evidence-based treatment access. Precise and powerful estimates of digital intervention effectiveness for anxiety disorders are necessary for further adoption in practice. The present systematic review and meta-analysis examined the effectiveness of digital interventions across all anxiety disorders and specific to each disorder v. wait-list and care-as-usual controls.

METHODS

A systematic search of bibliographic databases identified 15 030 abstracts from inception to 1 January 2020. Forty-seven randomized controlled trials (53 comparisons; 4958 participants) contributed to the meta-analysis. Subgroup analyses were conducted by an anxiety disorder, risk of bias, treatment support, recruitment, location and treatment adherence.

RESULTS

A large, pooled effect size of g = 0.80 [95% Confidence Interval: 0.68-0.93] was found in favor of digital interventions. Moderate to large pooled effect sizes favoring digital interventions were found for generalized anxiety disorder (g = 0.62), mixed anxiety samples (g = 0.68), panic disorder with or without agoraphobia (g = 1.08) and social anxiety disorder (g = 0.76) subgroups. No subgroups were significantly different or related to the pooled effect size. Notably, the effects of guided interventions (g = 0.84) and unguided interventions (g = 0.64) were not significantly different. Supplemental analysis comparing digital and face-to-face interventions (9 comparisons; 683 participants) found no significant difference in effect [g = 0.14 favoring digital interventions; Confidence Interval: -0.01 to 0.30].

CONCLUSION

The precise and powerful estimates found further justify the application of digital interventions for anxiety disorders in place of wait-list or usual care.

A network meta-analysis of 12,116 individuals from randomized controlled trials in the treatment of depression after acute coronary syndrome

BACKGROUND

Post-acute coronary syndrome (ACS) depression is a common but not well understood complication experienced by ACS patients. Research on the effectiveness of various therapies remains limited. Hence, we sought to conduct a network meta-analysis to assess the efficacy of different interventions for post-ACS depression in improving patient outcomes.

METHODS AND FINDINGS

Three electronic databases were searched for randomised controlled trials describing different depression treatment modalities in post-ACS patients. Each article was screened based on inclusion criteria and relevant data were extracted. A bivariate analysis and a network meta-analysis was performed using risk ratios (RR) and standardized mean differences (SMD) for binary and continuous outcomes, respectively. A total of 30 articles were included in our analysis. Compared to standard care, psychosocial therapy was associated with the greatest reduction in depression scores (SMD:-1.21, 95% CI: -1.81 to -0.61, p<0.001), followed by cognitive behavioural therapy (CBT) (SMD: -0.75, 95% CI: -0.99 to -0.52, p<0.001), antidepressants (SMD: -0.73, 95% CI: -1.14 to -0.31, p<0.001), and lastly, combination therapy (SMD: -0.15, 95% CI: -0.28 to -0.03, p = 0.016). No treatment modalities was found to be more effective in reducing depression scores when compared to one another. Additional analysis showed that these treatment modalities did not have significant impact on the overall mortality, cardiac mortality and recurrent myocardial infarction.

CONCLUSION

This network meta-analysis found that the treatment effect of the various psychological modalities on depression severity were similar. Future trials on psychological interventions assessing clinical outcomes and improvement in adherence to ACS-specific interventions are needed.

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

Objective

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

Methods

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

Results

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

Conclusions

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

Digital Health Interventions for Delivery of Mental Health Care: Systematic and Comprehensive Meta-Review

BACKGROUND

The COVID-19 pandemic has shifted mental health care delivery to digital platforms, videoconferencing, and other mobile communications. However, existing reviews of digital health interventions are narrow in scope and focus on a limited number of mental health conditions.

OBJECTIVE

To address this gap, we conducted a comprehensive systematic meta-review of the literature to assess the state of digital health interventions for the treatment of mental health conditions.

METHODS

We searched MEDLINE for secondary literature published between 2010 and 2021 on the use, efficacy, and appropriateness of digital health interventions for the delivery of mental health care.

RESULTS

Of the 3022 records identified, 466 proceeded to full-text review and 304 met the criteria for inclusion in this study. A majority (52%) of research involved the treatment of substance use disorders, 29% focused on mood, anxiety, and traumatic stress disorders, and >5% for each remaining mental health conditions. Synchronous and asynchronous communication, computerized therapy, and cognitive training appear to be effective but require further examination in understudied mental health conditions. Similarly, virtual reality, mobile apps, social media platforms, and web-based forums are novel technologies that have the potential to improve mental health but require higher quality evidence.

CONCLUSIONS

Digital health interventions offer promise in the treatment of mental health conditions. In the context of the COVID-19 pandemic, digital health interventions provide a safer alternative to face-to-face treatment. However, further research on the applications of digital interventions in understudied mental health conditions is needed. Additionally, evidence is needed on the effectiveness and appropriateness of digital health tools for patients who are marginalized and may lack access to digital health interventions.

COVID Feel Good: Evaluation of a Self-Help Protocol to Overcome the Psychological Burden of the COVID-19 Pandemic in a German Sample

The COVID-19 pandemic has severe consequences for physical as well as mental well-being. In times of restricted social contact, online self-help programs offer a low-threshold first aid to cope with the psychological burden. This current study evaluates the online self-help protocol “COVID Feel Good” in a German sample. The multicentric study was designed as a single cohort with a waiting list control condition. The convenience sample consisted of 38 German individuals who experienced at least two months of restrictions during the COVID-19 pandemic. The 7-day self-help protocol included the VR video “Secret Garden” as well as a social or cognitive exercise each day. General distress, depression, anxiety, stress, and hopelessness were assessed as primary outcomes. Social connectedness and fear of coronavirus were measured as secondary outcomes. Results showed a significant decrease in all primary outcomes except for hopelessness. Furthermore, the results indicated a significant improvement in social connectedness. Treatment effects on general distress, depression, stress, and anxiety persisted for two weeks after participation. The present study indicates that VR-based self-help protocols can mitigate the psychological burden associated with the pandemic, supporting recent findings.

Strategies to improve access to cognitive behavioral therapies for anxiety disorders: A scoping review

Background

Strategies to improve access to evidence-based psychological treatments (EBPTs) include but are not limited to implementation strategies. No currently available framework accounts for the full scope of strategies available to allow stakeholders to improve access to EBPTs. Anxiety disorders are common and impactful mental conditions for which EBPTs, especially cognitive-behavioral therapies (CBT), are well-established yet often hard to access.

Objective

Describe and classify the various strategies reported to improve access to CBT for anxiety disorders.

Methods

Scoping review with a keyword search of several databases + additional grey literature documents reporting on strategies to improve access to CBT for anxiety disorders. A thematic and inductive analysis of data based on grounded theory principles was conducted using NVivo.

Results

We propose to classify strategies to improve access to CBT for anxiety disorders as either "Contributing to the evidence base," "Identifying CBT delivery modalities to adopt in practice," "Building capacity for CBT delivery," "Attuning the process of access to local needs," "Engaging potential service users," or "Improving programs and policies." Each of these strategies is defined, and critical information for their operationalization is provided, including the actors that could be involved in their implementation.

Implications

This scoping review highlights gaps in implementation research regarding improving access to EBPTs that should be accounted for in future studies.

Acceptance of E-Mental Health Services for Different Application Purposes Among Psychotherapists in Clinical Training in Germany and Switzerland: Secondary Analysis of a Cross-Sectional Survey

Background

Despite solid evidence supporting the efficacy of electronic mental health (EMH) services, their acceptance among psychotherapists is limited and uptake rates remain low. However, the acceptance of different EMH services has yet barely been examined in future generations of psychotherapists in a differentiated manner. The aims of this study were (1) to elaborate the intention to use various EMH services for different application purposes and (2) to determine predictors of EMH service acceptance among psychotherapists in clinical training (PiT).

Materials and Methods

Our paper is based on a secondary data analysis of a cross-sectional survey. Respondents were recruited via recognized educational institutions for psychotherapy within Germany and the German-speaking part of Switzerland between June and July of 2020. The survey contained items on the intention to use different EMH services (i.e., guided and unguided programs, virtual reality, psychotherapy by telephone and videoconference) for various application purposes (i.e., prevention, treatment addition, treatment substitute, aftercare). Potential predictors of EMH service acceptance (e.g., barriers and advantages) were examined based on an extension of the Unified Theory of Acceptance and Use of Technology (UTAUT).

Results

Most of the n = 216 respondents were female (88.4%) and located in Germany (72.2%). General acceptance of EMH was moderate (M = 3.4, SD = 1.12, range 1-5), while acceptance of psychotherapy via videoconference was highest (M = 3.7, SD = 1.15) and acceptance of unguided programs was lowest (M = 2.55, SD = 1.14). There was an interaction effect of EMH service and application purpose (η2 = 0.21). Barriers and advantages both had a uniform influence on EMH service acceptance (Pr > 0.999), while impersonality, legal concerns, concerns about therapeutic alliance, simplified information provision, simplified contact maintenance, time flexibility, and geographic flexibility were significant predictors (all p < 0.05). Results showed that the extended UTAUT model was the best fitting model to predict EMH service acceptance (Pr > 0.999).

Conclusions

The intention to use different EMH services varied between application purposes among PiT. To increase acceptance of EMH services and reduce misconceptions, we identified predictors that should be addressed in future acceptance-facilitating interventions when educating PiT.

Telehealth and Artificial Intelligence Insights into Healthcare during the COVID-19 Pandemic

Soon after the coronavirus disease 2019 pandemic was proclaimed, digital health services were widely adopted to respond to this public health emergency, including comprehensive monitoring technologies, telehealth, creative diagnostic, and therapeutic decision-making methods. The World Health Organization suggested that artificial intelligence might be a valuable way of dealing with the crisis. Artificial intelligence is an essential technology of the fourth industrial revolution that is a critical nonmedical intervention for overcoming the present global health crisis, developing next-generation pandemic preparation, and regaining resilience. While artificial intelligence has much potential, it raises fundamental privacy, transparency, and safety concerns. This study seeks to address these issues and looks forward to an intelligent healthcare future based on best practices and lessons learned by employing telehealth and artificial intelligence during the COVID-19 pandemic.

Psychodynamic Therapist's Subjective Experiences With Remote Psychotherapy During the COVID-19-Pandemic-A Qualitative Study With Therapists Practicing Guided Affective Imagery, Hypnosis and Autogenous Relaxation

The COVID-19-pandemic brought massive changes in the provision of psychotherapy. To contain the pandemic, many therapists switched from face-to-face sessions in personal contact to remote settings. This study focused on psychodynamic therapists practicing Guided Affective Imagery, Hypnosis and Autogenous Relaxation and their subjective experiences with psychotherapy via telephone and videoconferencing during the first COVID-19 related lockdown period in March 2020 in Austria. An online survey completed by 161 therapists produced both quantitative and qualitative data with the latter being subject to a qualitative content analysis. Our research suggests that telephone and videoconferencing are considered valuable treatment formats to deliver psychodynamic psychotherapy. However, therapists' experiences with remote psychotherapy are multifaceted and ambiguous. In particular, the findings raise questions concerning the maintenance of the therapeutic alliance, the development of the analytic process, the sensitivity to unconscious communication, and the indication for certain types of patients that still need further investigation. Our research indicates that the long-standing reticence toward remote treatments offers among psychodynamic therapists is becoming more differentiated and partially dissolves as therapists gain experiences in their use. Attitudes are becoming more open. At the same time, the way is being prepared to take a closer look at the specific processes and dynamics of remote psychotherapy and to examine them critically in future studies.

The Potential Impact of Adjunct Digital Tools and Technology to Help Distressed and Suicidal Men: An Integrative Review

Suicidal men feel the need to be self-reliant and that they cannot find another way out of relationship or socioeconomic issues. Suicide prevention is of crucial importance worldwide. The much higher rate of suicide in men engenders action. The prelude is a subjective experience that can be very isolating and severely distressing. Men may not realize a change in their thinking and behaviors, which makes it more difficult to seek and get help, thereby interrupting a "downward spiral". Stoicism often prevents men from admitting to their personal struggle. The lack of "quality" connections and "non-tailored" therapies has led to a high number of men "walking out" on traditional clinical approaches. But there are complicated relationships in motivations and formative behaviors of suicide with regards to emotional state, psychiatric disorders, interpersonal life events and suicidal behavior method selection. Middle-aged and older men have alternated as the most at-risk of suicide. There is no one solution that applies to all men, but digital tools may be of assistance (e.g., video conferences, social networks, telephone calls, and emails). Digital interventions require higher levels of effectiveness for distress and suicidality but self-guided approaches may be the most suitable for men especially where linked with an integrated online suicide prevention platform (e.g., quick response with online chats, phone calls, and emails). Furthermore, technology-enabled models of care offer promise to advance appropriate linking to mental health services through better and faster understanding of the specific needs of individuals (e.g., socio-cultural) and the type and level of suicidality experienced. Long-term evidence for suicidality and its evaluation may benefit from progressing human computer-interaction and providing impetus for an eminent integrated digital platform.

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

Background

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

Objective

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

Methods

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

Results

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

Conclusions

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

Adherence With Online Therapy vs Face-to-Face Therapy and With Online Therapy vs Care as Usual: Secondary Analysis of Two Randomized Controlled Trials

BACKGROUND

Adherence to internet-delivered interventions targeting mental health such as online psychotherapeutic aftercare is important for the intervention's impact. High dropout rates limit the impact and generalizability of findings. Baseline differences may be putting patients at risk for dropping out, making comparisons between online with face-to-face (F2F) therapy and care as usual (CAU) necessary to examine.

OBJECTIVE

This study investigated adherence to online, F2F, and CAU interventions as well as study dropout among these groups and the subjective evaluation of the therapeutic relationship. Sociodemographic, social-cognitive, and health-related variables were considered.

METHODS

In a randomized controlled trial, 6023 patients were recruited, and 300 completed the baseline measures (T1), 144 completed T2 (retention 44%-52%), and 95 completed T3 (retention 24%-36%). Sociodemographic variables (eg, age, gender, marital status, educational level), social-cognitive determinants (eg, self-efficacy, social support), health-related variables (eg, depressiveness), and expectation towards the treatment for patients assigned to online or F2F were measured at T1.

RESULTS

There were no significant differences between the groups regarding dropout rates (χ²₁=0.02-1.06, P≥.30). Regarding adherence to the treatment condition, the online group outperformed the F2F and CAU conditions (P≤.01), indicating that patients randomized into the F2F and CAU control groups were much more likely to show nonadherent behavior in comparison with the online therapy groups. Within study groups, gender differences were significant only in the CAU group at T2, with women being more likely to drop out. At T3, age and marital status were also only significant in the CAU group. Patients in the online therapy group were significantly more satisfied with their treatment than patients in the F2F group (P=.02; Eta²=.09). Relationship satisfaction and success satisfaction were equally high (P>.30; Eta²=.02). Combining all study groups, patients who reported lower depressiveness scores at T1 (T2: odds ratio [OR] 0.55, 95% CI 0.35-0.87; T3: OR 0.56, 95% CI 0.37-0.92) were more likely to be retained, and patients who had higher self-efficacy (T2: OR 0.57, 95% CI 0.37-0.89; T3: OR 0.52, 95% CI 0.32-0.85) were more likely to drop out at T2 and T3. Additionally, at T3, the lower social support that patients reported was related to a higher likelihood of remaining in the study (OR 0.68, 95% CI 0.48-0.96). Comparing the 3 intervention groups, positive expectation was significantly related with questionnaire completion at T2 and T3 after controlling for other variables (T2: OR 1.64, 95% CI 1.08-2.50; T3: OR 1.59, 95% CI 1.01-2.51).

CONCLUSIONS

While online interventions have many advantages over F2F variants such as saving time and effort to commute to F2F therapy, they also create difficulties for therapists and hinder their ability to adequately react to patients' challenges. Accordingly, patient characteristics that might put them at risk for dropping out or not adhering to the treatment plan should be considered in future research and practice. Online aftercare, as described in this research, should be provided more often to medical rehabilitation patients.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04989842; https://clinicaltrials.gov/ct2/show/NCT04989842.

Tele-Mental Health for Reaching Out to Patients in a Time of Pandemic: Provider Survey and Meta-analysis of Patient Satisfaction

BACKGROUND

The COVID-19 pandemic threatened to impact mental health by disrupting access to care due to physical distance measures and the unexpected pressure on public health services. Tele-mental health was rapidly implemented to deliver health care services.

OBJECTIVE

The aims of this study were (1) to present state-of-the-art tele-mental health research, (2) to survey mental health providers about care delivery during the pandemic, and (3) to assess patient satisfaction with tele-mental health.

METHODS

Document clustering was applied to map research topics within tele-mental health research. A survey was circulated among mental health providers. Patient satisfaction was investigated through a meta-analysis of studies that compared satisfaction scores between tele-mental health and face-to-face interventions for mental health disorders, retrieved from Web of Knowledge and Scopus. Hedges g was used as the effect size measure, and effect sizes were pooled using a random-effect model. Sources of heterogeneity and bias were examined.

RESULTS

Evidence on tele-mental health has been accumulating since 2000, especially regarding service implementation, depressive or anxiety disorders, posttraumatic stress disorder, and special populations. Research was concentrated in a few countries. The survey (n=174 respondents from Italy, n=120 international) confirmed that, after the onset of COVID-19 outbreak, there was a massive shift from face-to-face to tele-mental health delivery of care. However, respondents held skeptical views about tele-mental health and did not feel sufficiently trained and satisfied. Meta-analysis of 29 studies (n=2143) showed that patients would be equally satisfied with tele-mental health as they are with face-to-face interventions (Hedges g=-0.001, 95% CI -0.116 to 0.114, P=.98, Q=43.83, I2=36%, P=.03) if technology-related issues were minimized.

CONCLUSIONS

Mental health services equipped with tele-mental health will be better able to cope with public health crises. Both providers and patients need to be actively engaged in digitization, to reshape their reciprocal trust around technological innovations.