A review of technology-assisted self-help and minimal contact therapies for anxiety and depression: Is human contact necessary for therapeutic efficacy?

Examining the Eye Movement Desensitization Reprocessing Flash Technique on Racial Trauma

Racial trauma poses significant risks to mental health and reduces the effectiveness of traditional psychotherapy. This study evaluated the self-administered eye movement desensitization and reprocessing-flash technique (EMDR-FT) as a telehealth intervention for reducing distress associated with racial trauma memories. Thirty-nine participants with moderate distress levels completed three bilateral stimulation sessions, with disturbance measured using the subjective units of disturbance (SUDs) scale. A repeated measures ANOVA revealed a significant reduction in distress across five time points, F(2, 90) = 17.37, p < 0.001, η² = 0.31. Post hoc analysis confirmed decreases from pre-test (M = 5.41, SD = 2.51) to post-test (M = 3.00, SD = 2.29). These findings suggest that EMDR-FT effectively reduces distress linked to racial trauma and highlight its potential as an accessible telehealth intervention. This study underscores the need for further exploration of self-administered approaches to trauma-focused therapy.

(Third-wave) cognitive behavioral therapy for generalized anxiety disorder in adults: A systematic review and Bayesian network meta-analysis

Generalized anxiety disorder (GAD) imposes a substantial burden on the patient and society. To manage GAD, cognitive behavioral therapy (CBT) is a widely recognized psychotherapeutic approach. Moreover, the third-wave CBTs expand the treatment options and have the potential to positively impact patient outcomes and preferences. However, which CBT protocols or third-wave CBTs are the most effective and appropriate for use in primary care settings remains uncertain. This study explored the short-and long-term relative efficacy of various CBT protocols and third-wave CBTs in reducing GAD symptom severity via a Bayesian network meta-analysis. The meta-analysis comprised 56 studies involving 4388 participants. Combining the initial analysis and sensitivity analysis, the results indicated that among the CBT protocols, Dugas's CBT protocol-which incorporates self-monitoring, education on uncertainty intolerance, assessment of worry beliefs, improvement of problem orientation, and dealing with core fears-demonstrated superior short- and long-term efficacy in reducing GAD symptom severity. Within the third-wave CBTs, the short- and long-term efficacy of acceptance-based therapy for GAD treatment is also notable. The Bayesian meta-regression analysis results showed that whether the therapies or protocols were guided by a clinician significantly moderated the effect size compared with the control group. These findings provide valuable insights for future GAD therapists in selecting appropriate therapies and protocols and a reference for updating GAD treatment guidelines.

Barriers to adopting therapeutic virtual reality: the perspective of clinical psychologists and psychotherapists

Background and objective

Despite evidence supporting the effectiveness of Virtual Reality (VR) for mental disorders, VR adoption in therapy remains low. As VR-technology continues to advance, it is crucial to examine individual and contextual barriers preventing implementation of therapeutic VR.

Methods

An online survey with closed and open-ended questions regarding knowledge of VR, VR-usage and barriers to VR adoption was conducted among clinical psychologists and psychotherapists in Austria (Mage=51.71 years, 76% women).

Results

Of 694 participants, only 10 reported using therapeutic VR. Chi-square tests revealed significant differences regarding interest in therapeutic VR based on prior experience, employment status, professional training, and therapeutic cluster. Besides a small age effect, no effects of gender or professional experience were found. Participants interested in VR (interest group, IG) frequently cited barriers and other reasons (see thematic analysis) for not having used VR yet. Those not interested in VR (no interest group, NIG) indicated a lack of relevance, no perceived advantage, or disinterest as reasons for not using VR. Thematic analysis identified four themes shared by both IG and NIG, each encompassing group-specific sub-themes: professional barriers (lack of knowledge, training, time, personal reasons), financial barriers (costs, cost-benefit-ratio), therapeutic barriers (clinical applicability, concerns about "real" therapeutic relationship), and technological barriers (immature technology, cybersickness, no equipment).

Conclusions

Significant barriers to the adoption of therapeutic VR among clinical psychologists and psychotherapists are gaps in knowledge and training, financial constraints, and lack of motivation, all of which highlight the need for training and financial support to enhance VR implementation.

Neuroimaging changes in major depression with brief computer-assisted cognitive behavioral therapy compared to waitlist

The goals of the current study were to determine the efficacy in major depressive disorder (MDD) of a shortened, computer-augmented cognitive behavioral therapy (CCBT) protocol and to determine brain plasticity effects following CCBT. Seventy-two MDD participants were randomized to CCBT or waitlist control groups and compared to 40 healthy controls (HCs). Functional MRI data were collected for all participants and repeated for patients following CCBT (five therapist-administered manualized CBT sessions plus computer training exercises). Linear mixed-effects models evaluated changes in depression scores throughout treatment and in connectivity from pre- to post-CCBT. Linear regression models compared connectivity differences between groups (MDD vs. HC). Following CCBT, there were decreases in MADRS and BDI (ps < 0.001); there was more negative connectivity of dlPFC with sgACC and DMN with sgACC (ps < 0.002); and there was more positive connectivity of FPN with nucleus accumbens, bilateral amygdalae, bilateral hippocampi, and sgACC and of DMN with ventral and dorsal bilateral anterior insulae (ps < 0.01). There were no associations between change in MADRS and change in connectivity; however, there was an association between change in BDI and change in FPN-sgACC connectivity (p = 0.01). A shortened CBT schedule coupled with home computer exercises was associated with decreased depression symptoms and augmented PFC connectivity with multiple subcortical regions. One possible mechanism of the CCBT intervention is modulating PFC connectivity with subcortical regions, influencing top-down control of affective processes dysregulated in MDD.

A Systematic Review of Parental Involvement in Digital Cognitive Behavioural Therapy Interventions for Child Anxiety

Cognitive behavioural therapy (CBT) is an efficacious intervention for child anxiety that has been translated into accessible digital formats, many of which involve parents in treatment. However, the value of parental involvement in treatment is not clearly understood. This systematic review examined characteristics of parental involvement (i.e., format and content of sessions, level of therapist guidance, and parent session compliance) in digital CBT for child anxiety (mean child age ≤ 12 years) and their relation to child outcomes (primary disorder remission, clinician-, parent-, and child-rated anxiety, and global functioning). Systematic searches in CINAHL, Embase, ERIC, PsychINFO, PubMed, and Scopus up to 14th August 2023, and citation searching, identified 27 articles (as 23 studies) assessing 14 interventions. Two were parent-only programmes for 3-6-year-old children, with the remaining being parent-child programmes targeting older children. Parents were actively involved as coaches/collaborators, assisting their children with anxiety management and exposure, and less often as co-clients working on their own difficulties. Benefits of treatment were observed across interventions, except for one, psychoeducation-based programme. Higher remission rates were more frequently observed in interventions delivered in controlled settings, those with fewer parent-only sessions, or those incorporating more parent- or therapist-led exposure sessions. Most studies were conducted with affluent samples, limiting generalisability, and several received a high risk of bias rating. Future research should examine parent and family related mechanisms of change and modify interventions for improved adherence, such as restricting the number of modules parents are required to complete and teaching key therapeutic strategies such as exposure early in the programme.

Low-Intensity Online Intervention for Mental Distress Among Help-Seeking Young People in Hong Kong: A Randomized Clinical Trial

Importance

Mental health issues among young people are increasingly concerning. Conventional psychological interventions face challenges, including limited staffing, time commitment, and low completion rates.

Objective

To evaluate the effect of a low-intensity online intervention on young people in Hong Kong experiencing moderate or greater mental distress.

Design, Setting, and Participants

This randomized clinical trial was conducted from May 12, 2022, to September 22, 2023, in Hong Kong. Participants (aged 12-30 years) were recruited from a community project, self-reported moderate to severe distress (Kessler Psychological Distress Scale score ≥5), and were randomized 1:1 to receive the low-intensity online intervention or self-help tips (waitlist group).

Intervention

The low-intensity online intervention group received 4 weekly 1-on-1 online sessions on stress management, sleep, or problem-solving delivered by trained psychological well-being practitioners. The waitlist group received weekly mental health tips via text messaging.

Main Outcomes and Measures

Primary outcomes were changes in Kessler Psychological Distress Scale scores and depression and anxiety subscale scores of the Depression, Anxiety, and Stress Scale. Secondary outcomes included general stress, overall negative emotions, quality of life, sleep quality, resilience, and self-efficacy. The primary outcome analysis was based on intention to treat with the last observation carried forward approach. Sensitivity analyses were conducted using per-protocol and multiple imputation methods.

Results

Of 332 screened participants, 120 (mean [SD] age, 22.4 [3.4] years; 87 [72.5%] female) were randomized. From baseline to 4 weeks, the low-intensity online intervention group and the control group both saw reductions in scores for depression (mean [SD] difference, 6.0 [7.7] and 4.8 [7.9]; P = .17; ηp2 = 0.02), anxiety (mean [SD] difference, 6.0 [7.7] and 3.5 [7.7]; P = .07; ηp2 = 0.03), and psychological distress (mean [SD] difference, 3.8 [3.8] and 2.9 [3.8]; P = .24; ηp2 = 0.01), but none of these differences were statistically significant. However, the intervention group showed greater reductions in general stress (mean [SD] difference, 7.5 [7.2] vs 4.4 [7.2]; P = .02; ηp2 = 0.05), negative emotion (mean [SD] difference, 20.3 [19.2] vs 12.7 [19.2]; P = .03; ηp2 = 0.04), and increased resilience (mean [SD] difference, 0.5 [0.6] vs 0.2 [0.6]; P = .01; ηp2 = 0.05) compared with the waitlist group. Younger participants and those with lower initial distress experienced greater improvements. The findings were supported by the per-protocol analysis but not by multiple imputation analysis.

Conclusions and Relevance

A low-intensity online intervention did not significantly improve distress, depressive, or anxiety symptoms but showed some potential in reducing general stress and negative emotions and improving resilience. These findings are encouraging but not definitive, and caution is needed due to missing data. These data suggest that a low-intensity online intervention may offer a scalable option for youth mental health.

Trial Registration

ClinicalTrials.gov Identifier: NCT05510453.

Supplemental Intervention for Alcohol Use Disorder Treatment Patients With a Co-Occurring Anxiety Disorder: Technical Development and Functional Testing of an Autonomous Digital Program

Background

Anxiety disorders are common in alcohol use disorder (AUD) treatment patients. Such co-occurring conditions ("comorbidity") have negative prognostic implications for AUD treatment outcomes, yet they commonly go unaddressed in standard AUD care. Over a decade ago, we developed and validated a cognitive behavioral therapy intervention to supplement standard AUD care that, when delivered by trained therapists, improves outcomes in comorbid patients. However, this validated intervention, like many others in addiction care, has not been taken up in community-based AUD treatment programs. This phenomenon-empirically validated treatments that fail to be widely adopted in community care-has been termed the "research-to-practice gap." Researchers have suggested that the availability of fully autonomous digital equivalents of validated therapist-delivered therapies could reduce some barriers underlying the research-to-practice gap, especially by eliminating the need for costly and intensive therapist training and supervision.

Objective

With this in mind, we obtained a Program Development Grant (R34) to conduct formative work in the development of a fully autonomous digital version of our previously validated therapist-delivered intervention for AUD treatment patients with a comorbid anxiety disorder.

Methods

In the first phase of the project, we developed the digital intervention. This process included: (1) identifying appropriate collaborators and vendors; (2) consultation with an e-learning expert to develop a storyboard and accompanying graphics and narrative; (3) video production and editing; and (4) interactive programming. The second phase of the project was functional testing of the newly developed digital intervention conducted in 52 residential AUD treatment patients with a comorbid anxiety disorder. Patients underwent the 3 one-hour segments of the newly developed intervention and completed user surveys, knowledge quizzes, and behavioral competence tests.

Results

While the development of the digital intervention was successful, the timeline was approximately double that projected (1 vs 2 years) due to false starts and inefficiencies that we describe, including lessons learned. Functional testing of the newly developed digital intervention showed that, on average, patients rated the user experience in the upper (favorable) 20% of the response scales. Knowledge quizzes and behavioral demonstrations showed that over 80% of participants gained functional mastery of the key skills and information taught in the program.

Conclusions

Functional testing results in this study justify a randomized controlled trial of the digital intervention's efficacy, which is currently ongoing. In sharing the details of our challenges and solutions in developing the digital intervention, we hope to inform others developing digital tools. The extent to which the availability of empirically validated, fully autonomous digital interventions achieves their potential to reduce the research-to-practice gap remains an open but important empirical question. The present work stands as a necessary first step toward that end.

Effectiveness of Brief Contact Interventions for Bereavement: A Systematic Review

Brief contact interventions are an efficient and cost-effective way of providing support to individuals. Whether they are an effective bereavement intervention is not clear. This systematic review included articles from 2014 to 2021.711 studies were identified, with 15 meeting inclusion criteria. The brief contact interventions included informational and emotional supports. Narrative synthesis identified that participants valued brief contact interventions, however some did not find them helpful. Exposure to a brief contact intervention was typically associated with improvements in wellbeing. Studies with comparison groups typically found significant but modest improvements in grief, depression symptoms and wellbeing associated with the intervention. However, one intervention was associated with significant deterioration of depression symptoms. Existing brief contact interventions for bereavement appear feasible, generally acceptable to the target population and are associated with improvements in wellbeing. Further development and evaluation to account for why improvements occur, and to identify any unintended impacts, is required.

Enhancing sleep and mood in depressed adolescents: A randomized trial on nurse-led digital cognitive behavioral therapy for insomnia

BACKGROUND

Despite the effectiveness of digital cognitive behavior therapy for insomnia (dCBT-I) in treating comorbid insomnia and depression, its accessibility and high dropout rates among adolescents and young adults remain significant limitations. A potential solution could be nurse-led dCBT-I. This study evaluates the feasibility and efficacy of nurse-led dCBT-I in reducing insomnia symptoms and improving mood in adolescents and young adults with depression.

AIMS

Our objective was to evaluate the feasibility and effectiveness of a nurse-led dCBT-I in reducing insomnia severity among adolescents and young adults with depression.

METHODS

A parallel-group randomized controlled trial involved 40 adolescents and young adults aged 14 to 24 with major depressive disorder and insomnia. They were assigned to receive either a nurse-led 6-week dCBT-I or usual care. The study evaluated outcomes such as insomnia severity, depression severity, and sleep parameters. Measurements were taken at baseline, immediately after the intervention (6 weeks), and during a follow-up at 18 weeks.

RESULTS

The intention-to-treat analysis was performed using a generalized linear mixed model (GLMM). Results indicated that, compared to the control group, participants in the intervention group exhibited a significant reduction in insomnia severity at the 18-week follow-up, with a large effect size (Cohen's d = -0.965, p < 0.001). Additionally, the intervention group demonstrated a significant decrease in depression severity both at the end of the intervention (Cohen's d = -0.686, p = 0.001) and at the 18-week follow-up (Cohen's d = -0.508, p = 0.011), indicating a medium effect size.

CONCLUSIONS

Nurse-led dCBT-I is an effective treatment for adolescents and young adults with depression and insomnia.

State of the Science: Psychotherapeutic Interventions for Prolonged Grief Disorder

Prolonged grief disorder (PGD) is a distinct diagnostic entity that has recently garnered considerable attention as it describes an intense, enduring, distressing and disabling bereavement reaction experienced by a small minority of community-based mourners. In recent decades, research has exploded to address how best to treat PGD with different psychotherapeutic interventions. In this state-of-the-science review, the strength of the evidence will be discussed regarding common psychotherapeutic interventions used to treat grief. Specifically, we focus on the most commonly used interventions, cognitive behavioral (CB)-based therapies, bereavement and support groups, and brief contact interventions (BCIs), in an effort to summarize the relevant clinical takeaways of the current available research. A discussion of the use of these therapies in specific clinical populations is also included, with a focus on those traumatically bereaved, pediatric populations, communities of color, and underserved communities. Important foci and directions for future research are also discussed.

Feasibility, acceptability, and preliminary efficacy of a self-directed online psychosocial intervention for women with metastatic breast cancer: Finding My Way-Advanced

PURPOSE

Few digital interventions target patients with advanced cancer. Hence, we feasibility-tested Finding My Way-Advanced (FMW-A), a self-guided program for women with metastatic breast cancer.

METHODS

A single-site randomised controlled pilot trial was conducted. Participants were recruited through clinicians, professional networks, and social media and randomised to intervention or usual-care control. Participants were randomly allocated to either the intervention (FMW-A; a 6-week, 6-module CBT-based online self-directed psychosocial program for women with MBC + usual care resources) or control (usual care resources: BCNA's Hope and Hurdles kit). Feasibility outcomes included rates of recruitment, uptake, engagement, and attrition. Distress, QOL, and unmet needs were evaluated for signals of efficacy, and qualitative feedback was collected to assess acceptability.

RESULTS

Due to COVID-19 and funding constraints, the target recruitment of 40 was not reached (n = 60 approached; n = 55 eligible; n = 35 consented). Uptake was high (n = 35/55; 63.6%), engagement modest (median 3/6 modules per user), and attrition acceptable (66% completed post-treatment). Efficacy signals were mixed: compared to controls, FMW-A participants experienced small improvements in fear of progression (d = 0.21) and global QOL (d = 0.22) and demonstrated a trend towards improvements in cancer-specific distress (d = 0.13) and role functioning (d = 0.18). However, FMW-A participants experienced small-to-moderate deteriorations in general distress (d = 0.23), mental QOL (d = 0.51), and social functioning (d = 0.27), whereas controls improved. Qualitatively, participants (n = 4) were satisfied with the program, perceived it as appropriate, but noted some sections could evoke transient distress.

CONCLUSION

The study demonstrated feasibility (high uptake and acceptable retention) and generated realistic recruitment estimates. While FMW-A appears promising for targeting cancer-specific distress and fear of progression, the mixed findings in quality of life and general distress warrant further revisions and testing.

Internet-Based Cognitive Behavioural Treatments for Obsessive-Compulsive Disorder: A Systematic Review and Meta-Analysis

Obsessive-compulsive disorder (OCD) is a common mental health condition characterized by distressing, intrusive thoughts (obsessions) and repetitive behaviours (compulsions) aimed at reducing anxiety. Internet-based cognitive behavioural therapy (ICBT) has emerged as an effective treatment modality for various mental health disorders. This meta-analysis evaluates the efficacy of guided self-help ICBT (GSH ICBT) and unguided self-help ICBT (SH ICBT) against active and passive control conditions in adults with OCD. A comprehensive systematic literature search yielded 12 randomized controlled trials (RCTs) comprising 15 comparison arms (N = 1416) that met the inclusion criteria. Results indicate that GSH ICBT significantly reduced OCD symptomatology posttreatment compared to active controls (g = 0.378, k = 9), with no significant effects maintained at follow-up (g = 0.153, k = 4). GSH ICBT was also found to be as effective as active CBT interventions in reducing comorbid anxiety and depression symptoms posttreatment (g = 0.278, k = 6) and at follow-up (g = 0.124, k = 4). However, improvements in quality of life were not significant posttreatment (g = 0.115, k = 4) nor at follow-up (g = 0.179, k = 3). Combined GSH and SH ICBT demonstrated large effects on reducing OCD symptoms (g = 0.754, k = 6), medium effects on comorbid symptoms (g = 0.547, k = 6) and small effects on quality of life (g = 0.227, k = 2) when compared to inactive controls. No significant differences were found between GSH and SH ICBT in all measured outcomes posttreatment (OCD: g = 0.098, k = 3; AD: g = 0.070, k = 3; QoL: g = -0.030, k = 1) and at follow-up (OCD: g = 0.265, k = 2; AD: g = 0.084, k = 2; QoL: g = 0.00, k = 1). Sample size was identified as a significant moderator of treatment effects. This paper further explores clinical significance, treatment adherence, therapist time investment and moderator influences of the ICBT. The limitations of the study and recommendations for future research are thoroughly discussed.

Breaking the maternity mold: navigating the return to work and challenging rigid maternal beliefs through an online psychological intervention

Working mothers must often balance work and family responsibilities which can be affected by rigid and irrational beliefs about motherhood. The present study had two aims: (a) to provide psychometric evidence for a shortened Italian version of the Rigid Maternal Beliefs Scale (RMBS) and (b) to facilitate mothers' return to work after maternity leave by reducing perceptions of anxiety and stress related to rigid maternal beliefs (i.e., perceptions and societal expectations of mothers, maternal confidence, maternal dichotomy) and by teaching specific recovery strategies (e.g., relaxation, mastery experiences) to manage anxiety and stress through an online psychological intervention. Results replicated the three-factor structure of the original RMBS and showed good psychometric properties. The online psychological intervention resulted in decrease in the rigidity of maternal beliefs, perceived anxiety and stress, and increase in recovery strategies. These initial results are promising and encourage further investigation into online psychological interventions for improving the well-being of working mothers.

Cognitive Behavioral Digital Interventions are Effective in Reducing Anxiety in Children and Adolescents: A Systematic Review and Meta-analysis

Anxiety disorders are the most prevalent mental health issues in childhood, yet most children do not receive treatment. With recent advances in technology, a growing number of digital anxiety interventions are becoming accessible. This study is the first meta-analysis to evaluate the effectiveness and usefulness of digital cognitive-behavioral anxiety interventions for individuals under the age of 18. Five electronic databases (PsycNET, Web of Science, Science Direct, Pub Med, SAGE Journals.) were systematically searched in 2021. Inclusion criteria were: randomized control trials with a wait list no treatment control, standalone to blended care with minimal therapist involvement, diagnosed anxiety disorder or elevated levels of anxiety, outcome anxiety levels had to be assessed by a clinician, or the patients themselves by a validated anxiety measure. We assessed and controlled for publication bias, and considered the risk of bias using the Cochrane risk-of-bias tool. Eighteen studies were found eligible, which examined 1290 participants in total. Pooled effect sizes using a random-effects model yielded low overall effect for self-ratings (g = 0.28, k = 18, p < 0.001, 95% CI [0.14; 0.41]), and medium effect for ratings of clinicians (g = 0.66, k = 13, p < 0.001, 95% CI [0.50; 0.80]) as well as for parental report (g = 0.49, k = 16, p < 0.001, 95% CI [0.29; 0.69]). We found that the effects were homogenous across studies. Further examining potential moderating factors of treatment efficacy is needed in future research, as well as conducting studies that compare traditional methods of care to their digital counterparts. Digital interventions could contribute to the well-being of children regardless of age, minimizing therapist involvement. We conclude that digital cognitive-behavioral interventions may provide an accessible, cost-effective, and scalable anxiety treatment option for children and adolescents.

Engagement with mHealth Alcohol Interventions: User Perspectives on an App or Chatbot-Delivered Program to Reduce Drinking

Research suggests participant engagement is a key mediator of mHealth alcohol interventions' effectiveness in reducing alcohol consumption among users. Understanding the features that promote engagement is critical to maximizing the effectiveness of mHealth-delivered alcohol interventions. The purpose of this study was to identify facilitators and barriers to mHealth alcohol intervention utilization among hazardous-drinking participants who were randomized to use either an app (Step Away) or Artificial Intelligence (AI) chatbot-based intervention for reducing drinking (the Step Away chatbot). We conducted semi-structured interviews from December 2019 to January 2020 with 20 participants who used the app or chatbot for three months, identifying common facilitators and barriers to use. Participants of both interventions reported that tracking their drinking, receiving feedback about their drinking, feeling held accountable, notifications about high-risk drinking times, and reminders to track their drinking promoted continued engagement. Positivity, personalization, gaining insight into their drinking, and daily tips were stronger facilitator themes among bot users, indicating these may be strengths of the AI chatbot-based intervention when compared to a user-directed app. While tracking drinking was a theme among both groups, it was more salient among app users, potentially due to the option to quickly track drinks in the app that was not present with the conversational chatbot. Notification glitches, technology glitches, and difficulty with tracking drinking data were usage barriers for both groups. Lengthy setup processes were a stronger barrier for app users. Repetitiveness of the bot conversation, receipt of non-tailored daily tips, and inability to self-navigate to desired content were reported as barriers by bot users. To maximize engagement with AI interventions, future developers should include tracking to reinforce behavior change self-monitoring and be mindful of repetitive conversations, lengthy setup, and pathways that limit self-directed navigation.

Internet-delivered emotional self-management program for the general population during the COVID-19 pandemic: Usability testing

Introduction

Internet-based self-help interventions have the potential to help people address their emotional needs at relatively low costs. However, if the system does not offer optimal functions, it could reduce end-user adherence and satisfaction with treatment and compromise the effectiveness of the program. This study evaluated the usability of an Internet-based self-help intervention for emotional self-management among the general population of Italy during the COVID-19 pandemic.

Methods

A balanced sex-age sample of 10 individuals who met the inclusion criteria were consecutively recruited online. The think-aloud testing method, the system usability scale and an ad hoc semi-structured interview were used to determine the overall system usability.Quantitative data were analyzed using descriptive statistics and qualitative data were analyzed using thematic analysis.

Results

The participants were mostly satisfied with the usability of the program. However, older users (<45 years) encountered some problems, which took longer, made more mistakes, and needed more help in performing the tasks than their younger counterparts. The analysis of the interviews revealed three central themes: general thoughts about the platform, weaknesses of the platform and difficulties encountered while navigating and completing tasks, and strengths of the platform.

Discussion

Based on the results of this study, important improvements will be made before the RinasciMENTE program is tested under real-world conditions. Conducting usability testing is a crucial step at an early stage of the development process of an Internet-based self-help intervention to identify potential usability problems with the system.

Self-Guided Mental Health Apps Targeting Racial and Ethnic Minority Groups: Scoping Review

BACKGROUND

The use of mental health apps (MHAs) is increasing rapidly. However, little is known about the use of MHAs by racial and ethnic minority groups.

OBJECTIVE

In this review, we aimed to examine the acceptability and effectiveness of MHAs among racial and ethnic minority groups, describe the purposes of using MHAs, identify the barriers to MHA use in racial and ethnic minority groups, and identify the gaps in the literature.

METHODS

A systematic search was conducted on August 25, 2023, using Web of Science, Embase, PsycINFO, PsycArticles, PsycExtra, and MEDLINE. Articles were quality appraised using the Mixed Methods Appraisal Tool, and data were extracted and summarized to form a narrative synthesis.

RESULTS

A total of 15 studies met the inclusion criteria. Studies were primarily conducted in the United States, and the MHAs designed for racial and ethnic minority groups included ¡Aptívate!, iBobbly, AIMhi- Y, BRAVE, Build Your Own Theme Song, Mindful You, Sanadak, and 12 more MHAs used in 1 study. The MHAs were predominantly informed by cognitive behavioral therapy and focused on reducing depressive symptoms. MHAs were considered acceptable for racial and ethnic minority groups; however, engagement rates dropped over time. Only 2 studies quantitatively reported the effectiveness of MHAs among racial and ethnic minority groups. Barriers to use included the repetitiveness of the MHAs, stigma, lack of personalization, and technical issues.

CONCLUSIONS

Considering the growing interest in MHAs, the available evidence for MHAs for racial and ethnic minority groups appears limited. Although the acceptability seems consistent, more research is needed to support the effectiveness of MHAs. Future research should also prioritize studies to explore the specific needs of racial and ethnic minority groups if MHAs are to be successfully adopted.

A Self-Help Manual for Psychological Distress and Quality of Life During a Haemopoietic Stem-Cell Transplant: An Effectiveness and Acceptability Pilot

Haemopoietic stem-cell transplantation (HSCT) can be a highly distressing procedure that negatively impacts quality of life (QoL). Self-help interventions can help improve psychopathology and wellbeing in patients with physical illness, but have rarely been trialled with HSCT recipients. This study aimed to pilot the utility of a self-help manual intervention during the acute phase of HSCT. Forty autologous and allogeneic HSCT candidates were randomly assigned to a self-help manual intervention or treatment as usual (TAU). Psychological distress (BSI-18) and QoL (FACT-BMT-Vs4) were measured pre-, 2-3 weeks and 3 months post-HSCT. Linear mixed-effects analyses showed no significant group-time interaction for global QoL (p = .199) or global distress (p = .624). However, highlighting a protective role during admission, manual participants showed minimal QoL or somatic distress change at 2-3 weeks post-transplant compared with moderate-large effects for reduced QoL (d = 0.62) and increased somatic distress (d = - 0.81) for TAU patients. Thematic analysis suggests the manual helped prepare patients for transplant and provided strategies to improve distress and QoL. This pilot provides preliminary evidence for the benefit of a self-help manual during hospitalisation for a HSCT. More intensive, recovery-focussed care, however, may be needed to improve psychological health in the post-hospital period. Retrospectively registered trial (ANZCTR No. 12620001165976, 6th November 2020).

A systematic review and meta-analysis of Internet-based self-help interventions for mental health among adolescents and college students

Purpose

This meta-analysis aims to evaluate the impact of Internet-based self-help interventions on the mental health of adolescents and college students.

Methods

We conducted a systematic review of randomized controlled trials (RCTs) that investigated Internet-based self-help interventions aiming to mitigate mental health symptoms such as anxiety and depression, as well as managing high levels of stress, among adolescents and college students. Our search spanned databases including Web of Science, PubMed, Cochrane Library, and Embase, up until November 1st, 2022. It is essential to emphasize that our focus was the evaluation of symptoms (continuous outcomes), rather than the diagnosis of specific mental disorders. The meta-analysis was performed using the R version 4.3.1. The effect size measure was the standardized mean difference (SMD), and random-effects models were used to pool data from eligible RCTs. Subgroup analyses were carried out to examine variations in intervention effects based on factors such as sample type, intervention modality, guidance type, and intervention duration.

Results

The meta-analysis was based on 25 comparisons involving a total of 4480 participants. In comparison to the control group (n = 2125), participants receiving interventions (n = 2355) reported significant reductions in symptoms of anxiety, depression, and stress, along with a significant improvement in quality of life. Specifically, for depression, we observed moderate intervention effects (SMD = -0.42, 95 % CI: -0.56, -0.27), and a similar pattern was seen for quality of life (SMD = 0.36, 95%CI: 0.22, 0.49). Small intervention effects were found for anxiety (SMD = -0.35, 95 % CI [-0.48, -0.22]) and stress (SMD = -0.35, 95 % CI [-0.51, -0.20]). Given significant heterogeneity, subgroup analyses were conducted for anxiety and depression, considering factors such as sample type, intervention method, and intervention duration. Notably, college students experienced more significant benefits in both anxiety and depression alleviation compared to adolescents. Longer interventions (>8 weeks) were particularly effective in reducing anxiety and depression. Additionally, third-wave cognitive-behavioral therapy (CBT) showed pronounced intervention effects in both outcome measures, while the presence of guidance did not notably influence results.

Conclusion

This meta-analysis underscores the positive impact of Internet-based self-help programs in alleviating the symptoms of psychological disorders among adolescents and college students. However, it is crucial to acknowledge that the available evidence exhibits inconsistencies and limitations. Therefore, further research utilizing rigorous methodologies is necessary to verify and broaden the findings of this meta-analysis.

Circadian Reinforcement Therapy in Combination With Electronic Self-Monitoring to Facilitate a Safe Postdischarge Period for Patients With Major Depression: Randomized Controlled Trial

BACKGROUND

Patients with major depression exhibit circadian disturbance of sleep and mood, and when they are discharged from inpatient wards, this disturbance poses a risk of relapse. We developed a circadian reinforcement therapy (CRT) intervention to facilitate the transition from the inpatient ward to the home for these patients. CRT focuses on increasing the zeitgeber strength for the circadian clock through social contact, physical activity, diet, daylight exposure, and sleep timing.

OBJECTIVE

In this study, we aimed to prevent the worsening of depression after discharge by using CRT, supported by an electronic self-monitoring system, to advance and stabilize sleep and improve mood. The primary outcome, which was assessed by a blinded rater, was the change in the Hamilton Depression Rating Scale scores from baseline to the end point.

METHODS

Participants were contacted while in the inpatient ward and randomized 1:1 to the CRT or the treatment-as-usual (TAU) group. For 4 weeks, participants in both groups electronically self-monitored their daily mood, physical activity, sleep, and medication using the Monsenso Daybuilder (MDB) system. The MDB allowed investigators and participants to simultaneously view a graphical display of registrations. An investigator phoned all participants weekly to coinspect data entry. In the CRT group, participants were additionally phoned between the scheduled calls if specific predefined trigger points for mood and sleep were observed during the daily inspection. Participants in the CRT group were provided with specialized CRT psychoeducation sessions immediately after inclusion, focusing on increasing the zeitgeber input to the circadian system; a PowerPoint presentation was presented; paper-based informative materials and leaflets were reviewed with the participants; and the CRT principles were used during all telephone consultations. In the TAU group, phone calls focused on data entry in the MDB system. When discharged, all patients were treated at a specialized affective disorders service.

RESULTS

Overall, 103 participants were included. Participants in the CRT group had a significantly larger reduction in Hamilton Depression Scale score (P=.04) than those in the TAU group. The self-monitored MDB data showed significantly improved evening mood (P=.02) and sleep quality (P=.04), earlier sleep onset (P=.009), and longer sleep duration (P=.005) in the CRT group than in the TAU group. The day-to-day variability of the daily and evening mood, sleep offset, sleep onset, and sleep quality were significantly lower in the CRT group (all P<.001) than in the TAU group. The user evaluation was positive for the CRT method and the MDB system.

CONCLUSIONS

We found significantly lower depression levels and improved sleep quality in the CRT group than in the TAU group. We also found significantly lower day-to-day variability in daily sleep, mood parameters, and activity parameters in the CRT group than in the TAU group. The delivery of the CRT intervention should be further refined and tested.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02679768; https://clinicaltrials.gov/study/NCT02679768.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/s12888-019-2101-z.

Training, supervision, and experience of coaches offering digital guided self-help for mental health concerns

Accessible, low-cost intervention options are necessary to address the rise in mental health problems among college students. Digital guided self-help, or coached, programs have been developed to provide such services, with many commercially available. As such, there are a large and growing number of individuals coaching these programs. However, an unmet need is to evaluate and assess best practices for training and supervising individuals in these positions. To this end, we describe how we recruited, trained, and supervised coaches as part of a large randomized controlled trial using a widely available digital commercial platform. Coaches were trained to provide digital guided self-help for depression, anxiety, and/or eating disorders for college students. Coaches initially attended three live training sessions over 2-3 weeks, viewed multiple training videos, and read a detailed coaching manual developed by our team. Thereafter, they attended weekly supervision. Following their term, coaches completed an exit survey to assess their supervision and training experiences. A total of 37 of 70 (53%) graduate-level student coaches completed the survey. The experience was reported as very positive (95%). In particular, the majority reported feeling well prepared, more confident, and felt they had developed useful skills for their own practice.

A randomised controlled trial of clinician supported vs self-help delivery of online cognitive behaviour therapy for Bulimia Nervosa

High dropout rates and poor adherence associated with digital interventions have prompted research into modifications of these treatments to improve engagement and completion rates. This trial aimed to investigate the added benefit of clinician support when paired alongside a ten-session, online cognitive behaviour therapy (CBT) self-help intervention for bulimia nervosa (BN). As part of a three-arm, phase II randomised controlled trial, 114 participants (16 years or over) with full or subthreshold BN were randomly assigned to complete the intervention in a self-help mode (with administrative researcher contact; n = 38), with adjunct clinician support (weekly 30-minute videoconferencing sessions; n = 37), or a no-treatment waitlist control (WLC; n = 39). Baseline to post-treatment (12-weeks) decreases in objective binge episode frequency were significantly greater for clinician-supported participants as compared to WLC, but not for self-help when compared to WLC. However, due to continued improvements for self-help across follow-up (24-weeks), both arms outperformed WLC when analysed as an overall rate of change across three timepoints. Clinician-supported participants outperformed self-help in regards to laxative use and dietary restraint. Our results demonstrate that good clinical outcomes can be achieved with a relatively brief online CBT-based program even in the absence of structured clinical support, indicating a possible overreliance upon clinician support as a primary adherence-facilitating mechanism.

Blended intervention based on acceptance and commitment therapy for informal caregivers of people with dementia (ACT-IC): protocol of a mixed-methods feasibility study

INTRODUCTION

Numerous caregiver support programmes have shown promise in promoting the mental health of informal caregivers of people with dementia (PwD). However, there is still a lack of evidence-based interventions tailored to the specific needs of this population. This mixed-methods study aims to evaluate the feasibility, acceptability and preliminary efficacy of a blended intervention based on acceptance and commitment therapy (ACT) for informal caregivers of PwD, leading to a better understanding of intervention refinements for future controlled trials.

METHODS AND ANALYSIS

This study includes an uncontrolled pre-post intervention pilot study. A total of 30 informal caregivers of PwD will be recruited through memory clinics and social media platforms in the Netherlands. The ACT for informal caregiver (ACT-IC) intervention will be delivered over a 9-week period and consists of a collaborative goal-setting session, nine online ACT modules, nine telephone-based motivational coaching sessions and 6 monthly booster sessions following the main intervention period. Feasibility and acceptability will be assessed using attrition rate, adherence to and engagement with the intervention, proportion of missing data and semistructured interviews. Preliminary efficacy will be assessed with retrospective measures of depression, anxiety, stress, sense of competence, burden and self-efficacy at baseline, postintervention, at 3-month and 6-month follow-ups.

ETHICS AND DISSEMINATION

The Medical Ethical Committee from the Maastricht academic hospital and Maastricht University approved the study. The findings of this study will be shared with healthcare professionals, researchers and public audience through various channels, including scientific publications, conference presentations, online forums and community outreach programmes.

TRIAL REGISTRATION NUMBER

NCT05064969.

Self-help application for obsessive-compulsive disorder based on exposure and response prevention technique with prototype design and usability evaluation: A cross-sectional study

Background and Aims

Obsessive-compulsive disorder (OCD) is a relatively common disorder that, due to its debilitating nature, significantly affects personal abilities, job performance, social adjustment, and interpersonal relationships. There are significant barriers to accessing evidence-based cognitive-behavioral therapy as a first-line treatment for obsessive-compulsive disorder. Mobile health applications (Apps) offer a promising way to improve access to evidence-based therapies while overcoming these barriers. The present study was to design and evaluate a prototype of a self-help application for people with OCD (the most common pattern of OCD) based on the exposure and response prevention (ERP) technique.

Methods

This work was developed in four different phases. (1) Needs assessment: a thorough literature review, reviewing existing related programs and apps, and interviewing patients and psychiatrists; (2) Creating a paper prototype: considering the functional features identified in the previous phase using wireframe sketcher software. (3) Creating a digital prototype: developing an actual prototype using Axure RP software based on the information obtained from an expert panel's evaluation of the paper prototype. (4) Prototype usability evaluation: through a heuristic evaluation with experts and usability testing with patients using the SUS questionnaire.

Results

After requirement analysis, requirements were defined in the areas of information and educational elements, and functional capabilities. Prototypes designed based on identified requirements include capabilities such as in-app online self-help groups, assessing the severity of the symptoms of the disorder, psychological training, supportive treatment strategies, setting personalized treatment plans, tracking treatment progress through weekly reports provided, anxiety assessment, and setting reminders.

Conclusion

The results of the heuristic evaluation with experts made it possible to identify how to provide information and implement the capabilities in a way that is more appropriate and easier for the user.

Efficacy of a Brief Blended Cognitive Behavioral Therapy Program for the Treatment of Depression and Anxiety in University Students: Uncontrolled Intervention Study

BACKGROUND

Blended cognitive behavioral therapy (bCBT)-the combination of cognitive behavioral therapy and digital mental health applications-has been increasingly used to treat depression and anxiety disorders. As a resource-efficient treatment approach, bCBT appears promising for addressing the growing need for mental health care services, for example, as an early intervention before the chronification of symptoms. However, further research on the efficacy and feasibility of integrated bCBT interventions is needed.

OBJECTIVE

This study aimed to evaluate the efficacy of a novel bCBT program comprising short (25 min), weekly face-to-face therapy sessions combined with a smartphone-based digital health app for treating mild to moderate symptoms of depression or anxiety.

METHODS

This prospective uncontrolled trial comprised 2 measurement points (before and after treatment) and 2 intervention groups. We recruited university students with mild to moderate symptoms of depression or anxiety. On the basis of the primary symptoms, participants were assigned to either a depression intervention group (n=67 completers) or an anxiety intervention group (n=33 completers). Participants in each group received 6 weekly individual psychotherapy sessions via videoconference and completed modules tailored to their respective symptoms in the smartphone-based digital health app.

RESULTS

The depression group displayed medium to large improvements in the symptoms of depression (Cohen d=-0.70 to -0.90; P<.001). The anxiety group experienced significant improvements in the symptoms of generalized anxiety assessed with the Generalized Anxiety Disorder-7 scale with a large effect size (Cohen d=-0.80; P<.001) but not in symptoms of anxiety assessed with the Beck Anxiety Inventory (Cohen d=-0.35; P=.06). In addition, both groups experienced significant improvements in their perceived self-efficacy (Cohen d=0.50; P<.001 in the depression group and Cohen d=0.71; P<.001 in the anxiety group) and quality of life related to psychological health (Cohen d=0.87; P<.001 in the depression group and Cohen d=0.40; P=.03 in the anxiety group). Work and social adjustment of patients improved significantly in the depression group (Cohen d=-0.49; P<.001) but not in the anxiety group (Cohen d=-0.06; P=.72). Patients' mental health literacy improved in the anxiety group (Cohen d=0.45; P=.02) but not in the depression group (Cohen d=0.21; P=.10). Patient satisfaction with the bCBT program and ratings of the usability of the digital app were high in both treatment groups.

CONCLUSIONS

This study provides preliminary evidence for the feasibility and efficacy of a novel brief bCBT intervention. The intervention effects were generalized across a broad spectrum of patient-reported outcomes. Hence, the newly developed bCBT intervention appears promising for treating mild to moderate depression and anxiety in young adults.

Virtual reality cue exposure therapy for tobacco relapse prevention: a comparative study with standard intervention

BACKGROUND

Successful interventions have been developed for smoking cessation although the success of smoking relapse prevention protocols has been limited. Cognitive behavioural therapy (CBT) in particular has been hampered by a high relapse rate. Because relapse can be due to conditions associated with tobacco consumption (such as drinking in bars with friends), virtual reality cue exposure therapy (VRCE) can be a potential tool to generate 3D interactive environments that simulate risk situations for relapse prevention procedures.

METHODS

To assess the effectiveness of VRCE with CBT, a comparative trial involving 100 smoking abstinent participants was designed with all required virtual environments (VE) created with an inexpensive graphic engine/game level editor.

RESULTS

Outcome measures confirmed the immersive and craving eliciting effect of these VEs. Results demonstrated that more participants in the VRCE group did not experience smoking relapse and that VRCE is at least as efficacious as traditional CBT in terms of craving reduction and decrease in nicotine dependence. Dropout and relapse rate in the VRCE group was noticeably lower than the CBT group. Aside from mood scores, no significant differences were found regarding the other scales.

CONCLUSION

The present clinical trial provides evidence that VRCE was effective in preventing smoking relapse. Improvement in technology and methodology for future research and applications is delineated.

Brief imaginal exposure exercises for social anxiety disorder: A randomized controlled trial of a self-help momentary intervention app

INTRODUCTION

Emerging technological interventions for psychological disorders are being developed continually. Offering imaginal exposure exercises as a self-help intervention presents the opportunity to acquire foundational skills to address social anxiety. The current study evaluates the feasibility and effectiveness of a novel smartphone application for social interaction anxiety.

METHODS

Participants (n = 82) were adults meeting criteria for social anxiety disorder. They were randomly assigned to imaginal exposure (IE; n = 39) or self-monitoring (n = 43) delivered multiple times daily via a smartphone application for a one-week trial. It was expected that participants using the IE exercises would demonstrate significantly greater declines in social anxiety in addition to increases in self-efficacy and that compliance would serve as a predictor of outcome. Mixed-effects models were utilized.

RESULTS

Participants using IE (vs. self-monitoring) evidenced significantly greater reductions in social anxiety from pre- to post-treatment and at 1-month follow-up. Similarly, IE (vs. self-monitoring) led to significantly greater increases in self-efficacy from pre- to post-treatment and 1-month follow-up. Further, more completed IE exercises predicted significantly greater changes in social anxiety and self-efficacy at subsequent timepoints compared with self-monitoring.

CONCLUSIONS

Findings suggest that a brief IE self-help intervention was effective in targeting social interaction anxiety.

Enhancing biofeedback-driven self-guided virtual reality exposure therapy through arousal detection from multimodal data using machine learning

Virtual reality exposure therapy (VRET) is a novel intervention technique that allows individuals to experience anxiety-evoking stimuli in a safe environment, recognise specific triggers and gradually increase their exposure to perceived threats. Public-speaking anxiety (PSA) is a prevalent form of social anxiety, characterised by stressful arousal and anxiety generated when presenting to an audience. In self-guided VRET, participants can gradually increase their tolerance to exposure and reduce anxiety-induced arousal and PSA over time. However, creating such a VR environment and determining physiological indices of anxiety-induced arousal or distress is an open challenge. Environment modelling, character creation and animation, psychological state determination and the use of machine learning (ML) models for anxiety or stress detection are equally important, and multi-disciplinary expertise is required. In this work, we have explored a series of ML models with publicly available data sets (using electroencephalogram and heart rate variability) to predict arousal states. If we can detect anxiety-induced arousal, we can trigger calming activities to allow individuals to cope with and overcome distress. Here, we discuss the means of effective selection of ML models and parameters in arousal detection. We propose a pipeline to overcome the model selection problem with different parameter settings in the context of virtual reality exposure therapy. This pipeline can be extended to other domains of interest where arousal detection is crucial. Finally, we have implemented a biofeedback framework for VRET where we successfully provided feedback as a form of heart rate and brain laterality index from our acquired multimodal data for psychological intervention to overcome anxiety.

Reach and uptake of digital mental health interventions based on cognitive-behavioral therapy for college students: A systematic review

Background

Mental health problems are increasing in prevalence among college students, yet few students receive treatment due to barriers such as insufficient resources in college counseling centers. Digital mental health interventions (DMHIs) have potential to overcome barriers and offer accessible, evidence-based care to college students. However, to evaluate the true public health impact of evidence-based DMHIs, it is important to assess the reach and uptake rates of DMHIs on college campuses.

Objectives

We conducted a systematic review to examine the reach (i.e., % of invited students who express interest) and uptake (i.e., % of enrolled participants who initiate an intervention) of DMHIs based on cognitive-behavioral therapy (CBT) for college students.

Methods

Eight databases were searched. Inclusion criteria included: (1) college population; (2) experimental design; (3) CBT-based intervention; (4) intervention targeting specific mental health conditions; and (5) digital intervention. Reach and uptake rates were calculated from data reported. A systematic narrative review framework was used to synthesize results.

Results

Of 10,315 articles screened, 90 were included. Seventeen studies (19%) reported sufficient data to calculate reach; 35 studies (39%) reported uptake rates. Of studies that reported reach or uptake, most evaluated unguided (n = 20) or guided (n = 16) self-help programs. Measurement methods varied widely. Overall reach was low, whereas uptake was high among enrolled participants.

Discussion

Despite evidence that improving reach and uptake can increase the public health impact of DMHIs, most studies did not report on either outcome. Suggested practices to improve these outcomes, and their reporting, are discussed.

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.

A Randomized Clinical Trial of Clinician-Supported PTSD Coach in VA Primary Care Patients

BACKGROUND

Posttraumatic stress disorder (PTSD) is common in primary care patients; however, evidence-based treatments are typically only available in specialty mental healthcare settings and often not accessed.

OBJECTIVE

To test the effectiveness of a brief primary care-based treatment, Clinician-Supported PTSD Coach (CS PTSD Coach) was compared with Primary Care Mental Health Integration-Treatment as Usual (PCMHI-TAU) in (1) reducing PTSD severity, (2) engaging veterans in specialty mental health care, and (3) patient satisfaction with care.

DESIGN

Multi-site randomized pragmatic clinical trial.

PARTICIPANTS

A total of 234 veterans with PTSD symptoms who were not currently accessing PTSD treatment.

INTERVENTION

CS PTSD Coach was designed to be implemented in Veterans Affairs PCMHI and combines mental health clinician support with the "PTSD Coach" mobile app. Four 30-min sessions encourage daily use of symptom management strategies.

MAIN MEASURES

PTSD severity was measured by clinician-rated interviews pre- and post-treatment (8 weeks). Self-report measures assessed PTSD, depression, and quality of life at pretreatment, posttreatment, and 16- and 24-week follow-ups, and patient satisfaction at post-treatment. Mental healthcare utilization was extracted from medical records.

KEY RESULTS

Clinician-rated PTSD severity did not differ by condition at post-treatment. CS PTSD Coach participants improved more on patient-reported PTSD severity at post-treatment than TAU participants (D = .28, p = .021). Coach participants who continued to have problematic PTSD symptoms at post-treatment were not more likely to engage in 2 sessions of specialty mental health treatment than TAU participants. Coach participants engaged in 74% more sessions in the intervention and reported higher treatment satisfaction than TAU participants (p < .001).

CONCLUSIONS

A structured 4-session intervention designed to align with patient preferences for care resulted in more patient-reported PTSD symptom relief, greater utilization of mental health treatment, and overall treatment satisfaction than TAU, but not more clinician-rated PTSD symptom relief or engagement in specialty mental health.

Effectiveness of Internet-based cognitive behavioural therapy for employees with depression: a systematic review and meta-analysis

Objectives. The effectiveness of Internet interventions for employees with depressive disorder remains controversial. We summarized all available evidence exploring the role of Internet interventions in reducing employees' depressive symptoms. Methods. This study was a comprehensive systematic review and meta-analysis that included acceptability and preliminary feasibility studies. We excluded programme descriptions, discussion articles and study protocols. We followed the PRISMA guidelines and searched MEDLINE, EMBASE, PsycINFO, the Cochrane Library and Web of Science from database inception to May 2021 for articles published in English. We extracted data concerning demographics, intervention format, including Internet interventions, control group conditions and outcome measures. We used a random-effects model and calculated Hedges' g values for the scores of employees receiving Internet interventions versus control conditions. This systematic review is registered as INPLASY202160082. Results. Data from 19 studies were included. These 19 studies included 5898 participants (2813 participants received Internet interventions, 3085 participants were in control groups). Conclusions. The findings suggest that Internet interventions can be effective in improving depression in employees. However, more randomized controlled trials are needed to provide better evidence regarding Internet interventions for employees with depression, and robust studies are needed to observe the effectiveness of Internet interventions.

CBT treatment delivery formats for panic disorder: a systematic review and network meta-analysis of randomised controlled trials

Several in-person and remote delivery formats of cognitive-behavioural therapy (CBT) for panic disorder are available, but up-to-date and comprehensive evidence on their comparative efficacy and acceptability is lacking. Our aim was to evaluate the comparative efficacy and acceptability of all CBT delivery formats to treat panic disorder. To answer our question we performed a systematic review and network meta-analysis of randomised controlled trials. We searched MEDLINE, Embase, PsycINFO, and CENTRAL, from inception to 1st January 2022. Pairwise and network meta-analyses were conducted using a random-effects model. Confidence in the evidence was assessed using Confidence in Network Meta-Analysis (CINeMA). The protocol was published in a peer-reviewed journal and in PROSPERO. We found a total of 74 trials with 6699 participants. Evidence suggests that face-to-face group [standardised mean differences (s.m.d.) -0.47, 95% confidence interval (CI) -0.87 to -0.07; CINeMA = moderate], face-to-face individual (s.m.d. -0.43, 95% CI -0.70 to -0.15; CINeMA = Moderate), and guided self-help (SMD -0.42, 95% CI -0.77 to -0.07; CINeMA = low), are superior to treatment as usual in terms of efficacy, whilst unguided self-help is not (SMD -0.21, 95% CI -0.58 to -0.16; CINeMA = low). In terms of acceptability (i.e. all-cause discontinuation from the trial) CBT delivery formats did not differ significantly from each other. Our findings are clear in that there are no efficacy differences between CBT delivered as guided self-help, or in the face-to-face individual or group format in the treatment of panic disorder. No CBT delivery format provided high confidence in the evidence at the CINeMA evaluation.

Randomized controlled pilot study of an app-based intervention for improving social skills, face perception, and eye gaze among youth with autism spectrum disorder

Introduction

This pilot study aimed to examine the effectiveness of an app-based intervention (Yface) in 53 children with autism spectrum disorder. Yface is a combined program that improves social skills, facial perception, and eye gaze.

Methods

Children were randomly assigned to one of the two training groups or a waitlist control group. One of the training groups completed the Yface training program lasting for 66 days, while the other training group used a similar app called Ycog, which focuses on cognitive rehabilitation. Questionnaires, computerized tasks, and semi-structured interviews were administered to children and their parents at pre- and post-training sessions.

Results

The Yface group showed improvements in face perception and some social skills compared to waitlist controls, and in eye gaze compared to the Ycog group.

Discussion

Our results suggest that this app-based intervention is effective in improving targeted social skills and face perception, although their relative effectiveness differs across skill domains.

Anxiety Disorders: A Review

Importance

Anxiety disorders have a lifetime prevalence of approximately 34% in the US, are often chronic, and significantly impair quality of life and functioning.

Observations

Anxiety disorders are characterized by symptoms that include worry, social and performance fears, unexpected and/or triggered panic attacks, anticipatory anxiety, and avoidance behaviors. Generalized anxiety disorder (6.2% lifetime prevalence), social anxiety disorder (13% lifetime prevalence), and panic disorder (5.2% lifetime prevalence) with or without agoraphobia are common anxiety disorders seen in primary care. Anxiety disorders are associated with physical symptoms, such as palpitations, shortness of breath, and dizziness. Brief screening measures applied in primary care, such as the Generalized Anxiety Disorder-7, can aid in diagnosis of anxiety disorders (sensitivity, 57.6% to 93.9%; specificity, 61% to 97%). Providing information about symptoms, diagnosis, and evidence-based treatments is a first step in helping patients with anxiety. First-line treatments include pharmacotherapy and psychotherapy. Selective serotonin reuptake inhibitors (SSRIs, eg, sertraline) and serotonin-norepinephrine reuptake inhibitors (SNRIs, eg, venlafaxine extended release) remain first-line pharmacotherapy for generalized anxiety disorder, social anxiety disorder, and panic disorder. Meta-analyses suggest that SSRIs and SNRIs are associated with small to medium effect sizes compared with placebo (eg, generalized anxiety disorder: standardized mean difference [SMD], -0.55 [95% CI, -0.64 to -0.46]; social anxiety disorder: SMD, -0.67 [95% CI, -0.76 to -0.58]; panic disorder: SMD, -0.30 [95% CI, -0.37 to -0.23]). Cognitive behavioral therapy is the psychotherapy with the most evidence of efficacy for anxiety disorders compared with psychological or pill placebo (eg, generalized anxiety disorder: Hedges g = 1.01 [large effect size] [95% CI, 0.44 to 1.57]; social anxiety disorder: Hedges g = 0.41 [small to medium effect] [95% CI, 0.25 to 0.57]; panic disorder: Hedges g = 0.39 [small to medium effect[ [95% CI, 0.12 to 0.65]), including in primary care. When selecting treatment, clinicians should consider patient preference, current and prior treatments, medical and psychiatric comorbid illnesses, age, sex, and reproductive planning, as well as cost and access to care.

Conclusions and Relevance

Anxiety disorders affect approximately 34% of adults during their lifetime in the US and are associated with significant distress and impairment. First-line treatments for anxiety disorders include cognitive behavioral therapy, SSRIs such as sertraline, and SNRIs such as venlafaxine extended release.

A Multi-Industry Analysis of the Future Use of AI Chatbots

Artificial intelligence (AI) chatbots are set to be the defining technology of the next decade due to their ability to increase human capability at a low cost. However, more research is required to assess individuals’ behavioural intentions to use this technology when it becomes publicly available. This study applied an extended Technology Acceptance Model (TAM), with additional predictors of trust and privacy concerns, to assess individuals’ behavioural intentions to use AI chatbots across three industries: mental health care, online shopping, and online banking. These services were selected due to the current popularity of regular chatbots in these fields. Participants ( $N=360$ , 202 females) aged between 17 and 85 years ( $M=38.17$ , $\text{SD}=17.66$ ) completed a 71-item online, cross-sectional survey. As hypothesised, perceived usefulness and trust were significant positive predictors of behavioural intentions across all three behaviours. However, the influence of the perceived ease of use and privacy concerns on behavioural intentions differed across the three behaviours. These findings highlight that the combination of predictors within the extended TAM have different influences on behavioural intentions to use AI chatbots for mental health care, online shopping, and online banking. This research contributes to the literature by demonstrating that the influence of the variables in one field cannot be generalised across all uses of AI chatbots.

Study protocol for a randomized controlled trial evaluating the effectiveness of an internet-based self-help intervention to cope with psychological distress due to COVID-19 in the Italian general population: the RinasciMENTE project

BACKGROUND

This study aims to evaluate the feasibility and effectiveness of the RinasciMENTE program, an Internet-based self-help intervention based on cognitive behavioral therapy (CBT) principles and techniques in supporting individuals experiencing psychological impairments during the COVID-19 pandemic. A randomized controlled trial (RCT) design with random allocation at the level of individual will be conducted to compare the impact of the RinasciMENTE program with a waiting list control in improving the psychological functioning of the general population during the COVID-19 pandemic.

METHODS

A minimum sample of 128 participants experiencing mild/subthreshold levels of psychological symptoms during the COVID-19 pandemic will be recruited. After the initial screening, participants will be randomly assigned to either the experimental group or the control condition. The program will last 2 months, during which participants will receive 8 weekly CBT treatment modules. The impact of the RinasciMENTE program on selected primary and secondary psychological outcomes will be tested at the end of the intervention (2 months) and 6- and 12-month follow-ups.

DISCUSSION

We expect people to show an increased level of psychological functioning and to acquire the skills and self-confidence necessary to deal with the psychological consequences of the COVID-19 outbreak and its related social isolation during and following the pandemic.

TRIAL REGISTRATION

ClinicalTrials.gov NCT0497903 Registered on 28 May 2021.

Operationalizing Engagement With an Interpretation Bias Smartphone App Intervention: Case Series

BACKGROUND

Engagement with mental health smartphone apps is an understudied but critical construct to understand in the pursuit of improved efficacy.

OBJECTIVE

This study aimed to examine engagement as a multidimensional construct for a novel app called HabitWorks. HabitWorks delivers a personalized interpretation bias intervention and includes various strategies to enhance engagement such as human support, personalization, and self-monitoring.

METHODS

We examined app use in a pilot study (n=31) and identified 5 patterns of behavioral engagement: consistently low, drop-off, adherent, high diary, and superuser.

RESULTS

We present a series of cases (5/31, 16%) from this trial to illustrate the patterns of behavioral engagement and cognitive and affective engagement for each case. With rich participant-level data, we emphasize the diverse engagement patterns and the necessity of studying engagement as a heterogeneous and multifaceted construct.

CONCLUSIONS

Our thorough idiographic exploration of engagement with HabitWorks provides an example of how to operationalize engagement for other mental health apps.

Feasibility and acceptability of a novel telepsychiatry-delivered precision prescribing intervention for anxiety and depression

BACKGROUND

Major Depressive Disorder and Generalized Anxiety Disorder are pervasive and debilitating conditions, though treatment is often inaccessible and based on trial-and-error prescribing methods. The present observational study seeks to describe the use of a proprietary precision prescribing algorithm piloted during routine clinical practice as part of Brightside's telepsychiatry services. The primary aim is to determine the feasibility and acceptability of implementing this intervention. Secondary aims include exploring remission and symptom improvement rates.

METHODS

Participants were adult patients enrolled in Brightside who completed at least 12 weeks of treatment for depression and/or anxiety and received a prescription for at least one psychiatric medication. A prescription recommendation was made by Brightside's algorithm at treatment onset and was utilized for clinical decision support. Participants received baseline screening surveys of the PHQ-9 and GAD-7, and at weeks 2,4,6,8,10 and 12. Intent-to-treat (ITT) sensitivity analyses were conducted. Feasibility of the implementation was measured by the platform's ability to enroll and engage participants in timely psychiatric care, as well as offer high touch-point treatment options. Acceptability was measured by patient responses to a 5-star satisfaction rating.

RESULTS

Brightside accessed and treated 6248 patients from October 2018 to April 2021, treating a majority of patients within 4-days of enrollment. The average plan cost was $115/month. 89% of participants utilized Brightside's core medication plan at a cost of $95/month. 13.4% of patients in the study rated Brightside's services as highly satisfactory, averaging a 4.6-star rating. Furthermore, 90% of 6248 patients experienced a MCID in PHQ-9 or GAD-7 score. Remission rates were 75% (final PHQ-9 or GAD-7 score < 10) for the study sample and 59% for the ITT sample. 69.3% of Brightside patients were treated with the medication initially prescribed at intake.

CONCLUSIONS

Results suggest that the present intervention may be feasible and acceptable within the assessed population. Exploratory analyses suggest that Brightside's course of treatment, guided by precision recommendations, improved patients' symptoms of anxiety and depression.

Scalability of an ACT-Based strategy for improving well-being in health care providers: A mix-method and preliminary evaluation of efficacy

The burden of the COVID-19 pandemic has been mainly carried by health care providers. Technology-Mediated Interventions (TMI) seem to be a feasible alternative to increase access to behavioral health resources in this population. However, scaling-up treatments into TMI requires developing user-friendly, accepted, and accessible formats. A two-stage study was conducted to assess scalability of an Acceptance and Commitment Therapy (ACT) based strategy (named FACE COVID) delivered using technology. First, a mix-method design connected qualitative and quantitative data from health providers and ACT experts by which changes were performed to enhance scalability. Second, a pretest-posttest study was conducted to preliminary evaluate the efficacy of FACE COVID intervention on well-being, psychological distress, and psychological flexibility. Results showed a positive impact on well-being, but not distress and psychological flexibility. While this intervention has promising results, changes in dose intensity, social support, and mental health literacy could improve retention as well as increase opportunities to target distress and psychological flexibility in future studies.

The Appalachia Mind Health Initiative (AMHI): a pragmatic randomized clinical trial of adjunctive internet-based cognitive behavior therapy for treating major depressive disorder among primary care patients

BACKGROUND

Major depressive disorder (MDD) is a leading cause of disease morbidity. Combined treatment with antidepressant medication (ADM) plus psychotherapy yields a much higher MDD remission rate than ADM only. But 77% of US MDD patients are nonetheless treated with ADM only despite strong patient preferences for psychotherapy. This mismatch is due at least in part to a combination of cost considerations and limited availability of psychotherapists, although stigma and reluctance of PCPs to refer patients for psychotherapy are also involved. Internet-based cognitive behaviorial therapy (i-CBT) addresses all of these problems.

METHODS

Enrolled patients (n = 3360) will be those who are beginning ADM-only treatment of MDD in primary care facilities throughout West Virginia, one of the poorest and most rural states in the country. Participating treatment providers and study staff at West Virginia University School of Medicine (WVU) will recruit patients and, after obtaining informed consent, administer a baseline self-report questionnaire (SRQ) and then randomize patients to 1 of 3 treatment arms with equal allocation: ADM only, ADM + self-guided i-CBT, and ADM + guided i-CBT. Follow-up SRQs will be administered 2, 4, 8, 13, 16, 26, 39, and 52 weeks after randomization. The trial has two primary objectives: to evaluate aggregate comparative treatment effects across the 3 arms and to estimate heterogeneity of treatment effects (HTE). The primary outcome will be episode remission based on a modified version of the patient-centered Remission from Depression Questionnaire (RDQ). The sample was powered to detect predictors of HTE that would increase the proportional remission rate by 20% by optimally assigning individuals as opposed to randomly assigning them into three treatment groups of equal size. Aggregate comparative treatment effects will be estimated using intent-to-treat analysis methods. Cumulative inverse probability weights will be used to deal with loss to follow-up. A wide range of self-report predictors of MDD heterogeneity of treatment effects based on previous studies will be included in the baseline SRQ. A state-of-the-art ensemble machine learning method will be used to estimate HTE.

DISCUSSION

The study is innovative in using a rich baseline assessment and in having a sample large enough to carry out a well-powered analysis of heterogeneity of treatment effects. We anticipate finding that self-guided and guided i-CBT will both improve outcomes compared to ADM only. We also anticipate finding that the comparative advantages of adding i-CBT to ADM will vary significantly across patients. We hope to develop a stable individualized treatment rule that will allow patients and treatment providers to improve aggregate treatment outcomes by deciding collaboratively when ADM treatment should be augmented with i-CBT.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04120285 . Registered on October 19, 2019.

Study protocol for pragmatic trials of Internet-delivered guided and unguided cognitive behavior therapy for treating depression and anxiety in university students of two Latin American countries: the Yo Puedo Sentirme Bien study

BACKGROUND

Major depressive disorder (MDD) and generalized anxiety disorder (GAD) are highly prevalent among university students and predict impaired college performance and later life role functioning. Yet most students do not receive treatment, especially in low-middle-income countries (LMICs). We aim to evaluate the effects of expanding treatment using scalable and inexpensive Internet-delivered transdiagnostic cognitive behavioral therapy (iCBT) among college students with symptoms of MDD and/or GAD in two LMICs in Latin America (Colombia and Mexico) and to investigate the feasibility of creating a precision treatment rule (PTR) to predict for whom iCBT is most effective.

METHODS

We will first carry out a multi-site randomized pragmatic clinical trial (N = 1500) of students seeking treatment at student mental health clinics in participating universities or responding to an email offering services. Students on wait lists for clinic services will be randomized to unguided iCBT (33%), guided iCBT (33%), and treatment as usual (TAU) (33%). iCBT will be provided immediately whereas TAU will be whenever a clinic appointment is available. Short-term aggregate effects will be assessed at 90 days and longer-term effects 12 months after randomization. We will use ensemble machine learning to predict heterogeneity of treatment effects of unguided versus guided iCBT versus TAU and develop a precision treatment rule (PTR) to optimize individual student outcome. We will then conduct a second and third trial with separate samples (n = 500 per arm), but with unequal allocation across two arms: 25% will be assigned to the treatment determined to yield optimal outcomes based on the PTR developed in the first trial (PTR for optimal short-term outcomes for Trial 2 and 12-month outcomes for Trial 3), whereas the remaining 75% will be assigned with equal allocation across all three treatment arms.

DISCUSSION

By collecting comprehensive baseline characteristics to evaluate heterogeneity of treatment effects, we will provide valuable and innovative information to optimize treatment effects and guide university mental health treatment planning. Such an effort could have enormous public-health implications for the region by increasing the reach of treatment, decreasing unmet need and clinic wait times, and serving as a model of evidence-based intervention planning and implementation.

TRIAL STATUS

IRB Approval of Protocol Version 1.0; June 3, 2020. Recruitment began on March 1, 2021. Recruitment is tentatively scheduled to be completed on May 30, 2024.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04780542 . First submission date: February 28, 2021.

Human Support in App-Based Cognitive Behavioral Therapies for Emotional Disorders: Scoping Review

BACKGROUND

Smartphone app-based therapies offer clear promise for reducing the gap in available mental health care for people at risk for or people with mental illness. To this end, as smartphone ownership has become widespread, app-based therapies have become increasingly common. However, the research on app-based therapies is lagging behind. In particular, although experts suggest that human support may be critical for increasing engagement and effectiveness, we have little systematic knowledge about the role that human support plays in app-based therapy. It is critical to address these open questions to optimally design and scale these interventions.

OBJECTIVE

The purpose of this study is to provide a scoping review of the use of human support or coaching in app-based cognitive behavioral therapy for emotional disorders, identify critical knowledge gaps, and offer recommendations for future research. Cognitive behavioral therapy is the most well-researched treatment for a wide range of concerns and is understood to be particularly well suited to digital implementations, given its structured, skill-based approach.

METHODS

We conducted systematic searches of 3 databases (PubMed, PsycINFO, and Embase). Broadly, eligible articles described a cognitive behavioral intervention delivered via smartphone app whose primary target was an emotional disorder or problem and included some level of human involvement or support (coaching). All records were reviewed by 2 authors. Information regarding the qualifications and training of coaches, stated purpose and content of the coaching, method and frequency of communication with users, and relationship between coaching and outcomes was recorded.

RESULTS

Of the 2940 titles returned by the searches, 64 (2.18%) were eligible for inclusion. This review found significant heterogeneity across all of the dimensions of coaching considered as well as considerable missing information in the published articles. Moreover, few studies had qualitatively or quantitatively evaluated how the level of coaching impacts treatment engagement or outcomes. Although users tend to self-report that coaching improves their engagement and outcomes, there is limited and mixed supporting quantitative evidence at present.

CONCLUSIONS

Digital mental health is a young but rapidly expanding field with great potential to improve the reach of evidence-based care. Researchers across the reviewed articles offered numerous approaches to encouraging and guiding users. However, with the relative infancy of these treatment approaches, this review found that the field has yet to develop standards or consensus for implementing coaching protocols, let alone those for measuring and reporting on the impact. We conclude that coaching remains a significant hole in the growing digital mental health literature and lay out recommendations for future data collection, reporting, experimentation, and analysis.

Embodiment in online psychotherapy: A qualitative study

As a result of the COVID-19 pandemic, many therapists and patients have been required to switch to online sessions in order to continue their treatments. Online psychotherapy has become increasingly popular, and although its efficacy seems to be similar to face-to-face encounters, its capacity to support the implicit nonverbal and embodied aspects of the therapeutic relationship has been questioned and remains understudied.

OBJECTIVES

To study how embodied and intersubjective processes are modified in online psychotherapy sessions.

DESIGN

Taking the enactive concept of participatory sense-making as a guiding thread, we designed an interpretative phenomenological analysis to examine the experiences of embodiment in online therapy.

METHODS

We conducted phenomenological semi-structured interviews with patients and therapists who have recently switched from face-to-face encounters to online modality.

RESULTS

Adjustments in verbal and nonverbal behavior, gaze behavior, management of silences, and displacements of non-intentional and pre-reflective patterns onto reflective ones are reported as necessary to compensate for changes introduced in the online modality.

CONCLUSIONS

From an enactive perspective, such adaptations manifest regulatory processes aimed at sustaining interactive dynamics and coordinating the primordial tension between relational and individual norms in social encounters.

PRACTITIONER POINTS

We examine different aspects of embodiment that practitioners should take into account when switching from face-to-face to online encounters with their clients. Online communication systems can alter aspects of the therapeutic relationship, such as its structure, its fragility, and its significance. Video calls afford new forms of intervention such as integrating the experience of patients with their self-image, incorporating information about their habitual environment into the process, and adopting less confrontational therapeutic styles.

Technology-Facilitated Depression Self-Management Linked with Lay Supporters and Primary Care Clinics: Randomized Controlled Trial in a Low-Income Sample

Purpose: To test whether technology-facilitated self-management support improves depression in primary care settings. Methods: We randomized 204 low-income primary care patients who had at least moderate depressive symptoms to intervention or control. Intervention participants received 12 months of weekly automated interactive voice response telephone calls that assessed their symptom severity and provided self-management strategies. Their patient-nominated supporter (CarePartner) received corresponding guidance on self-management support, and their primary care team received urgent notifications. Those randomized to enhanced usual care received printed generic self-management instructions. Results: One-year attrition rate was 14%. By month 6, symptom severity on the Patient Health Questionnaire-9 (PHQ-9) decreased 2.5 points more in the intervention arm than in the control arm (95% CI -4.2 to -0.8, p = 0.003). This benefit was similar at month 12 (p = 0.004). Intervention was also over twice as likely to lead to ≥50% reduction in symptom severity by month 6 (OR = 2.2 (1.1, 4.7)) and a decrease of ≥5 PHQ-9 points by month 12 (OR = 2.3 (1.2, 4.4)). Conclusions: Technology-facilitated self-management guidance with lay support and clinician notifications improves depression for primary care patients. Subsequent research should examine implementation and generalization to other chronic conditions. clinicaltrials.gov, identifier NCT01834534.

Online psychological interventions to reduce symptoms of depression, anxiety, and general distress in those with chronic health conditions: a systematic review and meta-analysis of randomized controlled trials

BACKGROUND

Over the past 15 years, there has been substantial growth in web-based psychological interventions. We summarize evidence regarding the efficacy of web-based self-directed psychological interventions on depressive, anxiety and distress symptoms in people living with a chronic health condition.

METHOD

We searched Medline, PsycINFO, CINAHL, EMBASE databases and Cochrane Database from 1990 to 1 May 2019. English language papers of randomized controlled trials (usual care or waitlist control) of web-based psychological interventions with a primary or secondary aim to reduce anxiety, depression or distress in adults with a chronic health condition were eligible. Results were assessed using narrative synthases and random-effects meta-analyses.

RESULTS

In total 70 eligible studies across 17 health conditions [most commonly: cancer (k = 20), chronic pain (k = 9), arthritis (k = 6) and multiple sclerosis (k = 5), diabetes (k = 4), fibromyalgia (k = 4)] were identified. Interventions were based on CBT principles in 46 (66%) studies and 42 (60%) included a facilitator. When combining all chronic health conditions, web-based interventions were more efficacious than control conditions in reducing symptoms of depression g = 0.30 (95% CI 0.22-0.39), anxiety g = 0.19 (95% CI 0.12-0.27), and distress g = 0.36 (95% CI 0.23-0.49).

CONCLUSION

Evidence regarding effectiveness for specific chronic health conditions was inconsistent. While self-guided online psychological interventions may help to reduce symptoms of anxiety, depression and distress in people with chronic health conditions in general, it is unclear if these interventions are effective for specific health conditions. More high-quality evidence is needed before definite conclusions can be made.

The Use of Information and Communication Technologies in Family Support across Europe: A Narrative Review

The COVID-19 pandemic has accelerated the use of information and communication technology (ICT) to deliver parenting and mental health support services to families. This narrative review illustrates the diverse ways in which ICT is being used across Europe to provide family support to different populations. We distinguish between the use of ICT in professional-led and peer-led support and provide implementation examples from across Europe. We discuss the potential advantages and disadvantages of different ways of using ICT in family support and the main developments and challenges for the field more generally, guiding decision-making as to how to use ICT in family support, as well as critical reflections and future research on its merit.

Do older adults benefit from telepsychiatric care: Comparison to younger adults

BACKGROUND

Telemental health platforms may increase access to care for older adults. Historically, older adults have tended to adopt new technologies at a slower rate which creates a perception that they may not be able to benefit from them. The purpose of this study was to determine whether or not older adult patients receiving psychiatric care for depression via a telemental health platform achieve the same outcomes as younger adults.

METHOD

Participant data utilized in the current investigation were obtained from a national mental health telehealth company (i.e., Brightside) and consisted of 12,908 U.S.-based adult patients receiving psychiatric care for depression between October, 2018 and January, 2022. Propensity matching was used to create an older and younger sample (n = 141 in each) using 23 covariates. These samples were then compared using repeated measures ANOVA on Patient Health Questionnaire-9 (PHQ-9) scores at start of treatment, 6 weeks, 8 weeks, 10 weeks, 12 weeks, 14 weeks, and 16 weeks.

RESULTS

Despite matching, the groups still significantly differed on prior mental health treatment, such that more older adults reported having had prior mental health treatment. There were no other differences between the groups on assessed variables. Both younger and older adults had decreasing scores over time with no significant differences between them.

CONCLUSION

Older adults have similar improvement in depression symptom severity over time following initiation of psychiatric treatment via a telehealth platform. These findings suggest that age is not a barrier to benefitting from telepsychiatric care.