An overview of and recommendations for more accessible digital mental health services

The role of virtual reality in managing inflammatory bowel disease: a novel approach to bridging mental and physical health

Inflammatory bowel disease (IBD), encompassing Crohn's disease and ulcerative colitis, is characterized by symptoms such as fatigue, abdominal pain, and diarrhoea, which may persist even when inflammation is controlled. These symptoms are further exacerbated by psychological stress, which may complicate disease management that involves the gut-brain axis-a bidirectional communication pathway linking the gastrointestinal system and the central nervous system. While stress, anxiety, and depression are prevalent among patients with IBD, access to comprehensive mental health care is often limited, particularly in rural and underserved areas. Virtual reality (VR) has emerged as a promising tool in managing psychological comorbidities and enhancing the overall care of patients with IBD. The integration of VR in IBD care offers a novel, accessible approach to addressing both physical and mental health challenges, potentially improving the quality of life and clinical outcomes for IBD patients. Further research is warranted to evaluate the long-term benefits and broader applicability of VR-based interventions in diverse patient populations.

Exploring the Ethical Challenges of Conversational AI in Mental Health Care: Scoping Review

BACKGROUND

Conversational artificial intelligence (CAI) is emerging as a promising digital technology for mental health care. CAI apps, such as psychotherapeutic chatbots, are available in app stores, but their use raises ethical concerns.

OBJECTIVE

We aimed to provide a comprehensive overview of ethical considerations surrounding CAI as a therapist for individuals with mental health issues.

METHODS

We conducted a systematic search across PubMed, Embase, APA PsycINFO, Web of Science, Scopus, the Philosopher's Index, and ACM Digital Library databases. Our search comprised 3 elements: embodied artificial intelligence, ethics, and mental health. We defined CAI as a conversational agent that interacts with a person and uses artificial intelligence to formulate output. We included articles discussing the ethical challenges of CAI functioning in the role of a therapist for individuals with mental health issues. We added additional articles through snowball searching. We included articles in English or Dutch. All types of articles were considered except abstracts of symposia. Screening for eligibility was done by 2 independent researchers (MRM and TS or AvB). An initial charting form was created based on the expected considerations and revised and complemented during the charting process. The ethical challenges were divided into themes. When a concern occurred in more than 2 articles, we identified it as a distinct theme.

RESULTS

We included 101 articles, of which 95% (n=96) were published in 2018 or later. Most were reviews (n=22, 21.8%) followed by commentaries (n=17, 16.8%). The following 10 themes were distinguished: (1) safety and harm (discussed in 52/101, 51.5% of articles); the most common topics within this theme were suicidality and crisis management, harmful or wrong suggestions, and the risk of dependency on CAI; (2) explicability, transparency, and trust (n=26, 25.7%), including topics such as the effects of "black box" algorithms on trust; (3) responsibility and accountability (n=31, 30.7%); (4) empathy and humanness (n=29, 28.7%); (5) justice (n=41, 40.6%), including themes such as health inequalities due to differences in digital literacy; (6) anthropomorphization and deception (n=24, 23.8%); (7) autonomy (n=12, 11.9%); (8) effectiveness (n=38, 37.6%); (9) privacy and confidentiality (n=62, 61.4%); and (10) concerns for health care workers' jobs (n=16, 15.8%). Other themes were discussed in 9.9% (n=10) of the identified articles.

CONCLUSIONS

Our scoping review has comprehensively covered ethical aspects of CAI in mental health care. While certain themes remain underexplored and stakeholders' perspectives are insufficiently represented, this study highlights critical areas for further research. These include evaluating the risks and benefits of CAI in comparison to human therapists, determining its appropriate roles in therapeutic contexts and its impact on care access, and addressing accountability. Addressing these gaps can inform normative analysis and guide the development of ethical guidelines for responsible CAI use in mental health care.

Toward a New Conceptual Framework for Digital Mental Health Technologies: Scoping Review

Background

Digital mental health technologies (DMHTs) are becoming more widely available and are seen as having the potential to improve the quality of mental health care. However, conversations around the potential impact of DMHTs can be impacted by a lack of focus on the types of technologies that are available. Several frameworks that could apply to DMHTs are available, but they have not been developed with comprehensive methods and have limitations.

Objective

To address limitations with current frameworks, we aimed to identify existing literature on the categorization of DMHTs, to explore challenges with categorizing DMHTs for specific purposes, and to develop a new conceptual framework.

Methods

We used an iterative approach to develop the framework. First, we completed a rapid review of the literature to identify studies that provided domains that could be used to categorize DMHTs. Second, findings from this review and associated issues were discussed by an expert working group, including professionals from a wide range of relevant settings. Third, we synthesized findings to develop a new conceptual framework.

Results

The rapid review identified 3603 unique results, and hand searching identified another 3 potentially relevant papers. Of these, 24 papers were eligible for inclusion, which provided 10 domains to categorize DMHTs. The expert working group proposed a broad framework and based on the findings of the review and group discussions, we developed a new conceptual framework with 8 domains that represent important characteristics of DMHTs. These 8 domains are population, setting, platform or system, purpose, type of approach, human interaction, human responsiveness, and functionality.

Conclusions

This conceptual framework provides a structure for various stakeholders to define the key characteristics of DMHTs. It has been developed with more comprehensive methods than previous attempts with similar aims. The framework can facilitate communication within the field and could undergo further iteration to ensure it is appropriate for specific purposes.

Digital mental health service engagement changes during Covid-19 in children and young people across the UK: Presenting concerns, service activity, and access by gender, ethnicity, and deprivation

The adoption of digital health technologies accelerated during Covid-19, with concerns over the equity of access due to digital exclusion. The aim of this study was to assess whether service access and presenting concerns differed before and during the pandemic. Sociodemographic characteristics (gender, ethnicity, and deprivation level) were examined to identify disparities in service use. To do this we utilised routinely collected service data from a text-based online mental health service for children and young people. A total of 61221 service users consented to sharing their data which represented half of the service population. We used interrupted time-series models to assess whether there was a change in the level and rate of service use during the Covid-19 pandemic (April 2020-April 2021) compared to pre-pandemic trends (June 2019-March 2020) and whether this varied by sociodemographic characteristics. The majority of users identified as female (74%) and White (80%), with an age range between 13 and 20 years of age. There was evidence of a sudden increase (13%) in service access at the start of the pandemic (RR 1.13 95% CI 1.02, 1.25), followed by a reduced rate (from 25% to 21%) of engagement during the pandemic compared to pre-pandemic trends (RR 0.97 95% CI 0.95,0.98). There was a sudden increase in almost all presenting issues apart from physical complaints. There was evidence of a step increase in the number of contacts for Black/African/Caribbean/Black British (38% increase; 95% CI: 1%-90%) and White ethnic groups (14% increase; 95% CI: 2%-27%), sudden increase in service use at the start of the pandemic for the most (58% increase; 95% CI: 1%-247%) and least (47% increase; 95% CI: 6%-204%) deprived areas. During the pandemic, contact rates decreased, and referral sources changed at the start. Findings on access and service activity align with other studies observing reduced service utilization. The lack of differences in deprivation levels and ethnicity at lockdown suggests exploring equity of access to the anonymous service. The study provides unique insights into changes in digital mental health use during Covid-19 in the UK.

Effect of technology-supported mindfulness-based interventions for maternal depression: a systematic review and meta-analysis with implementation perspectives for resource-limited settings

BACKGROUND

Maternal depression is pregnancy and childbirth-related depression during pregnancy (prenatal depression (PND)) or after delivery (postpartum depression (PPD)). It is a recognized global public health concern with extensive repercussions adversely affecting women's well-being and the developmental progress of infants. Mindfulness-based interventions (MBIs) have been shown to be effective in maternal depression. Technology-supported MBI could be an effective preventive strategy for maternal depression, especially in low- and middle-income countries (LMICs) where lack of important resources limits the accessibility to standard care. However, the limited available studies assessing the effect of technology-supported MBIs for maternal depression might be insufficient to reach a definitive conclusion. This systematic review aimed to evaluate the pooled estimated effect of technology-supported MBIs for maternal depression, identify available studies, and reveal applicable health technologies with MBIs.

METHOD

This study was conducted according to the PRISMA-P 2020 and the review protocol was registered in PROSPERO; CRD42024537853. The risk of bias was evaluated using the PEDro scale. The meta-analysis was done with R.

RESULT

Data from 18 articles, none from low-income countries (LICs), were included in the systematic review, representing 2,481 participants, 15 studies were included in the meta-analysis. The pooled effect size indicated that technology-supported MBIs had a positive effect on maternal depression (SMD - 0.55, 95% CI [- 0.70; -0.40], p < 0.001). The sub-group analysis showed that this intervention was effective in both PND (SMD = - 0.57, 95% CI [- 0.74; -0.39], p < 0.001) and PPD (SMD - 0.53, 95% CI [- 0.91; -0.15], p = 0.014).

CONCLUSION

Integrating technology-supported MBIs into maternal care is recommended to enhance maternal mental health. However, the lack of trials in LMICs may limit the generalizability and external validity of this finding and it is crucial to conduct further research, in the area to tailor intervention and maximize its effectiveness. Context-specific trial studies are pivotal for successful program adoption.

Digital mental health treatment implementation playbook: successful practices from implementation experiences in American healthcare organizations

Introduction

Digital mental health treatments (DMHTs) have begun to be implemented in some healthcare systems across the United States. These implementations are conducted as business arrangements. Thus, information on successful or unsuccessful implementations is not published or disseminated. This slows progress, as experiences and learnings are siloed within each organization, hindering or preventing learning across implementations and slowing the progress. To address this, the Society for Digital Mental Health established a DMHT Implementation Workgroup, with the goal of developing a DMHT Playbook that describes current best practices in DMHT implementation in American healthcare settings.

Methods

The workgroup was comprised of representatives from 7 healthcare systems and 10 DMHT companies that have conducted implementations, along with other stakeholders and technical experts. The workgroup met virtually to discuss implementation of effective DMHT implementation processes and inform the development of an interview guide, which was then administered to another 20 key opinion leaders with DMHT implementation experience. Concepts and thematic constructs were extracted by experts in qualitative data analysis. These findings were discussed and refined by the Workgroup based on the Workgroup's experience.

Results

The resulting playbook includes detailed methods, processes and procedures, representing practices that have been successful for implementing DMHTs in healthcare settings.

Discussion

The workgroup recognizes that DMHT implementation is a rapidly evolving field. The successful practices for DMHT implementation described in this playbook may be useful for improving the efficiency of future DMHT implementations in American healthcare systems. However, the authors caution that as the field rapidly evolves, successful implementation practices will likely evolve as well.

Understanding stakeholder views of the use of digital therapeutic interventions within children and young people's mental health services

Background

Providing the growing number of children and young people seeking mental health support with timely access to care poses a significant challenge. Increased use of digital technology in the delivery of children and young people's mental health services has been proposed as a means of increasing access to treatment.

Methods

We conducted three interrelated studies to provide multi-perspective insights into the use of digital therapeutic interventions within children and young people's mental health services in the UK. Study 1 used semi-structured interviews and an online survey to collect the views of digital therapeutic interventions of families who self-identified as facing additional barriers to accessing mental health support (n=13). Study 2 involved eight focus groups with children and young people's clinicians, service managers, commissioners, and policy leads (n=28), exploring participants' views and experiences of implementing and sustaining digital therapeutic interventions. Study 3 was a consensus exercise which aimed to identify actions needed to bridge the gap between the development and use of digital therapeutic interventions for children and young people's mental health through focus groups with parents/carers and professionals (n=17), and three Delphi-survey rounds.

Results

Our findings revealed considerable enthusiasm for the increased use of digital mental health interventions for children and young people across stakeholder groups, but also identified key barriers to their implementation. Actions perceived to facilitate more effective implementation included: a) co-producing interventions, commissioning decisions and implementation plans with children and parents/carers, b) enhancing national guidance and local leadership, c) integration of digital offers within existing clinical pathways, and d) efforts to ensure accessibility and inclusivity.

Discussion

Digital therapeutic interventions offer a promising solution to the challenge of improving access to mental health support for children and young people. Strengthened guidance and leadership, sustained funding and further evidence-generation are urgently needed to enable this promise to be realised.

Depressive symptomatology in Brazil: perspectives of statistical and psychometrics analyses of the PHQ-9 at four time-points (2020-2023) in the COVID-19 pandemic

The present research assessed the psychometric properties of the Patient Health Questionnaire-9 (PHQ-9) through an examination of its internal structure, invariance analysis, and standardization. Social distribution analyses of the measure were conducted using linear and binomial logistic regression. The sample consisted of 10,069 adults from all 27 states in Brazil. The data were obtained through four collections across different years of the COVID-19 pandemic (2020, 2021, 2022, and 2023), using independent samples. Confirmatory Factor Analysis (CFA) indicated that the measure is unidimensional with satisfactory fit indices. The model was invariant in relation to the variables investigated at four different levels (configural, metric, scalar, and strict). The standardization supported hypothetical cut scores indicating the severity of depressive symptoms, categorized as very low (0 to 6), low (7 to 13), moderate (14 to 19), high (20 to 23), and very high (≥ 24). We found that sex/gender, skin color/ethnicity, age, education level, and year of the pandemic were predictors of depressive symptoms in the adjusted linear regression analysis. The logistic regression showed variables with higher chances for a positive screening diagnosis of depression, with adjusted Odds Ratio as follows: years 2021 (ORadj = 1.275) and 2023 (ORadj = 1.409), women (ORadj = 1.900), Pardos individuals (ORadj = 1.252), education up to high school (ORadj = 1.272), being a northeast region resident (ORadj = 2.127), and younger people (ORadj = 1.716). The findings of this study indicate the suitability of the PHQ-9 for assessing depression in the population and recommend its use for monitoring depressive symptoms in the coming years in Brazil. Clinical implications include developing interventions to address the psychological impact of this and any future health crises.

Pilot Study Exploring the Perspectives of Canadian Clients Who Received Digitally Delivered Psychotherapies Utilized for Trauma-Affected Populations

The digital delivery of mental health services became increasingly common following the onset of the COVID-19 pandemic. There is still much to learn regarding tailoring interventions for trauma-affected populations (military members, Veterans, public safety personnel). Through the current pilot study, we explored the perceptions of digitally delivered psychotherapies utilized for trauma-affected populations, as reported by Canadian military members, Veterans, and public safety personnel who completed such interventions. Quantitative data were collected from 11 Canadian clients (military members, Veterans, and public safety personnel with posttraumatic stress injury). Survey questions were based on the Alberta Quality Matrix of Health and the Unified Theory of Acceptance and Use of Technology model. As a follow-up, clients were invited to partake in a semi-structured interview to further explore their perspectives on digitally delivered trauma-focused and adjunct therapies. Four clients participated in an interview. The client participants reported that digitally delivered trauma and adjunct therapies offered similar treatment effectiveness to in-person delivery while also improving treatment access. The participants indicated several unique advantages of digital delivery, including the increased accessibility of treatment, cost-effectiveness, and more efficient use of resources, although the small sample size limits the generalizability of our findings. Further research with a larger, more diverse population is required to corroborate our results and identify other avenues in which psychotherapies utilized for trauma-affected populations can be engaged with and improved upon.

Usefulness of self-guided digital services among mental health patients: The role of health confidence and sociodemographic characteristics

BACKGROUND

Remote services provided via telephone or the internet have become an essential part of mental health provision. Alongside services involving healthcare personnel (HCP), self-guided digital services hold great promise for improved self-management and health outcomes without increasing the burden on HCP. Therefore, better understanding of patients' use and experienced benefits of these services are needed. This study investigated how health confidence and sociodemographic background are associated with mental health patients' experiences of self-guided digital services.

METHODS

This cross-sectional survey study was performed in 2022 at a Finnish Mental Health and Substance Abuse Services (MHSAS) unit of a regional public service provider that serves a population of about 163000 people. All patients who had visited the unit up to 6 months before the study were invited to respond to an online survey on their experiences with the remote MHSAS. We report the average subjective usefulness of telephone, guided digital and self-guided digital services. Regression models were fitted to study the associations of patient characteristics with use of any digital service, and with experienced usefulness of self-guided digital services.

FINDINGS

The respondents (n = 438) rated the usefulness of telephone, guided digital and self-guided digital services similarly (4.0/5.0, 3.9/5.0, and 3.9/5.0, respectively). Health confidence was associated with not using digital services at all as well as with high perceived usefulness of self-guided services. While elderly patients were more likely to avoid using digital services, age was not associated with experienced usefulness of self-guided digital services. No association between unemployment status and experiences of digital services was found.

CONCLUSIONS

Different types of remote services are perceived as beneficial by mental health patients. To ensure effectiveness and equity, patients' health confidence should be considered when directing them to self-guided services. Elderly mental health patients who use digital services are equally able as younger patients to benefit from self-guided services.

Measuring Mental Health Service Accessibility for Indigenous Populations: a Systematic Review

Indigenous populations have experienced inequality of accessing mental health services compared with their non-Indigenous counterparts, although the way of measuring mental health service accessibility for Indigenous populations is unclear. This systematic review examines measures of mental health service accessibility for Indigenous people, including the diversity of mental health services that are available to them and the barriers to accessing mental healthcare. Using a systematic search procedure, we identified 27 studies that explored Indigenous populations' mental health service access. Our review shows that 18 studies used interview-based methods to explore how Indigenous people use mental health services, and only nine studies used quantitative methods to measure the uptake of mental health services. While advanced methods for quantifying geographical access to healthcare services are widely available, these methods have not been applied in the current literature to explore the potential access to mental health services by Indigenous populations. This is partially due to limited understanding of how Indigenous populations seek mental healthcare, barriers that prevent Indigenous people from accessing diverse types of mental health services, and scarcity of data that are available to researchers. Future research could focus on developing methods to support spatially explicit measuring of accessibility to mental health services for Indigenous populations.

Are digital psychological interventions for psychological distress and quality of life in cancer patients effective? A systematic review and network meta-analysis

BACKGROUND

Many cancer patients experience psychological distress and/or poor quality of life during or after their cancer treatment, yet they face multiple barriers to accessing psychological support. Digital psychological interventions represent a promising approach for addressing these barriers, however their comparative effectiveness remains uncertain.

METHODS

Nine databases were searched for randomized controlled trials (RCTs) from inception to July 2024. The primary outcomes were psychological distress and quality of life, and the secondary outcomes were measures of depression, anxiety, insomnia, fatigue, and fear of cancer recurrence in this study.

RESULTS

One hundred and thirty-six RCTs with 23,154 participants were identified. Of these interventions, three types-digitally-delivered cognitive behavioral therapy (CBT), health education, and virtual reality therapy (VRT)-demonstrated significant reductions in psychological distress compared to non-active controls. Digital CBT, narrative interventions, and VRT significantly improved quality of life compared to non-active controls. For depression, both digital CBT and VRT were superior to the non-active control group. Regarding anxiety, CBT, psychoeducation, and VRT outperformed the non-active control group. In terms of fatigue, CBT, psychoeducation, VRT, and multi-component interventions all showed enhanced efficacy compared to the non-active control group. However, only CBT exhibited significantly superior effectiveness in alleviating insomnia compared to non-active controls. Similarly, only mindfulness-based interventions significantly reduced fear of cancer recurrence compared to the non-active control condition.

CONCLUSIONS

Our results suggest that digital CBT and VRT are highly promising options for reducing psychological distress and enhancing the quality of life among cancer patients; further high-quality randomized controlled trials involving diverse populations are essential to validate these findings.

Digital transformation of mental health therapy by integrating digitalized cognitive behavioral therapy and eye movement desensitization and reprocessing

Digital therapy has gained popularity in the mental health field because of its convenience and accessibility. One major benefit of digital therapy is its ability to address therapist shortages. Posttraumatic stress disorder (PTSD) is a debilitating mental health condition that can develop after an individual experiences or witnesses a traumatic event. Digital therapy is an important resource for individuals with PTSD who may not have access to traditional in-person therapy. Cognitive behavioral therapy (CBT) and eye movement desensitization and reprocessing (EMDR) are two evidence-based psychotherapies that have shown efficacy in treating PTSD. This paper examines the mechanisms and clinical symptoms of PTSD as well as the principles and applications of CBT and EMDR. Additionally, the potential of digital therapy, including internet-based CBT, video conferencing-based therapy, and exposure therapy using augmented and virtual reality, is explored. This paper also discusses the engineering techniques employed in digital psychotherapy, such as emotion detection models and text analysis, for assessing patients' emotional states. Furthermore, it addresses the challenges faced in digital therapy, including regulatory issues, hardware limitations, privacy and security concerns, and effectiveness considerations. Overall, this paper provides a comprehensive overview of the current state of digital psychotherapy for PTSD treatment and highlights the opportunities and challenges in this rapidly evolving field.

Patterns of mental health service utilisation in people with cancer compared with people without cancer: analysis of the Australian National Study of Mental Health and Wellbeing

PURPOSE

To compare the patterns of mental health service utilisation between people with and without cancer.

METHODS

We performed a cross-sectional study using data of all respondents aged ≥ 25 years from the Australian National Study of Mental Health and Wellbeing 2020-2021 conducted during the COVID-19 pandemic. Comparisons were made between the two groups (cancer versus non-cancer) using logistic regression models.

RESULTS

The study comprised 318 people with cancer (55% female) and 4628 people without cancer (54% female). Cancer survivors had a higher prevalence of reporting poor health (38% versus 16%) and mental distress (18% versus 14%) than people without cancer. There were no significant differences between people with and without cancer in the odds of consulting general practitioner, psychiatrist and other health professionals for mental health, although people with cancer were significantly more likely to consult a psychologist than people without cancer (adjusted odds ratio (aOR) = 1.64, 95%CI = 1.05-2.48). While the odds of being hospitalised for physical health was significantly higher in cancer survivors than people without cancer (aOR = 2.32, 95%CI = 1.78-3.01), there was only a negligible number of people reported being hospitalised for mental health between the two groups. Several factors were associated with higher odds of mental health service utilisation including younger age, unpartnered marital status and presence of a current mental condition.

CONCLUSIONS

Alarmingly, despite experiencing higher prevalence of poor health status and mental distress, cancer survivors did not utilise more mental health services than the general population. That is, there is a higher degree of untreated, or undertreated, distress in cancer than in the general population.

IMPLICATIONS FOR CANCER SURVIVORS

Further research to identify optimal approaches of mental health care delivery for cancer survivors are urgently needed.

A systematic review of users experiences of using digital interventions within psychosis: a thematic synthesis of qualitative research

PURPOSE

Although the development of digital mental health support for people with psychosis has been increasing, the development and opportunities to access this have been more limited compared to other mental health conditions. Qualitative research exploring the experiences of using digital interventions amongst people with psychosis is even less well developed; however, such research is crucial in capturing the experiences of using digital interventions to ensure they are meeting the needs of people with psychosis. This paper aimed to synthesise qualitative data related to the experiences of people with psychosis who have used digital interventions.

METHODS

A systematic literature search was conducted of articles published between 1992 and October 2023 using PubMed, MBase, PsycINFO, & OVID Medline. Two reviewers independently reviewed and screened 268 papers. Papers that met inclusion criteria were quality assessed using The Critical Appraisal Skills Programme (CASP) qualitative studies checklist. The Enhancing Transparency in Reporting the Synthesis of Qualitative Research (ENTREQ) checklist was used to guide the structure of the report.

RESULTS

A thematic synthesis of 19 studies revealed six overarching themes which related to different aspects and features of the digital interventions: participants' relationship with technology; the accessibility of the interventions; how the interventions could impact on individuals' awareness and management of mental health; enhanced communication and relationships; and opportunities for reflection.

CONCLUSIONS

Benefits of using digital interventions are discussed. Areas for development and improvements are highlighted. Finally, recommendations for stakeholders who develop and implement digital interventions for psychosis are made.

Testing the Feasibility, Acceptability, and Potential Efficacy of an Innovative Digital Mental Health Care Delivery Model Designed to Increase Access to Care: Open Trial of the Digital Clinic

BACKGROUND

Mental health concerns have become increasingly prevalent; however, care remains inaccessible to many. While digital mental health interventions offer a promising solution, self-help and even coached apps have not fully addressed the challenge. There is now a growing interest in hybrid, or blended, care approaches that use apps as tools to augment, rather than to entirely guide, care. The Digital Clinic is one such model, designed to increase access to high-quality mental health services.

OBJECTIVE

To assess the feasibility, acceptability, and potential efficacy of the Digital Clinic model, this study aims to conduct a nonrandomized open trial with participants experiencing depression, anxiety, or both, at various levels of clinical severity.

METHODS

Clinicians were trained in conducting brief transdiagnostic evidence-based treatment augmented by a mental health app (mindLAMP); digital navigators were trained in supporting participants' app engagement and digital literacy while also sharing app data with both patients and clinicians. Feasibility and acceptability of this 8-week program were assessed against a range of benchmarks. Potential efficacy was assessed by calculating pre-post change in symptoms of depression (Patient Health Questionnaire-9; PHQ-9), anxiety (7-item Generalized Anxiety Disorder; GAD-7), and comorbid depression and anxiety (Patient Health Questionnaire Anxiety and Depression Scale; PHQ-ADS), as well as rates of clinically meaningful improvement and remission. Secondary outcomes included change in functional impairment, self-efficacy in managing emotions, and flourishing.

RESULTS

Of the 258 enrolled participants, 215 (83.3%) completed the 8-week program. Most were White (n=151, 70.2%) and identified as cisgender women (n=136, 63.3%), with a mean age of 41 (SD 14) years. Feasibility and acceptability were good to excellent across a range of domains. The program demonstrated potential efficacy: the average PHQ-9 score was moderate to moderately severe at baseline (mean 13.39, SD 4.53) and decreased to subclinical (mean 7.79, SD 4.61) by the end of the intervention (t126=12.50, P<.001, Cohen d=1.11). Similarly, the average GAD-7 score decreased from moderate at baseline (mean 12.93, SD 3.67) to subclinical (mean 7.35, SD 4.19) by the end of the intervention (t113=13, P<.001, Cohen d=1.22). Participation in the program was also associated with high rates of clinically significant improvement and remission.

CONCLUSIONS

Results suggest that the Digital Clinic model is feasible, acceptable, and potentially efficacious, warranting a future randomized controlled trial to establish the efficacy of this innovative model of care.

Exploring the Perspectives of Canadian Clinicians Regarding Digitally Delivered Psychotherapies Utilized for Trauma-Affected Populations

Many clinical sites shifted towards digital delivery of mental health services during the COVID-19 pandemic. There is still much to learn regarding tailoring digitally delivered interventions for trauma-affected populations. The current study examined the perceptions of Canadian mental health clinicians who provided digitally delivered psychotherapies utilized for trauma-affected populations. Specifically, we explored the shift to digital health use, what changed with this rapid shift, what needs, problems, and solutions arose, and important future considerations associated with delivering trauma-focused and adjunct treatments digitally. Survey data were collected from 12 Canadian mental health clinician participants. Surveys were adapted from the Alberta Quality Matrix of Health and Unified Theory of Acceptance and Use of Technology model. As a follow-up, the participants were invited to participate in either a semi-structured qualitative interview or focus group to further explore their perspectives on digitally delivered trauma-focused and adjunct therapies. Twenty-four clinician participants partook in an interview or focus group. The participants in this study supported the use of digitally delivered psychotherapies utilized for trauma-affected populations, sharing that these interventions appeared to offer similar quality of care to in-person delivery. Further research is required to address clinicians' concerns with digital delivery (e.g., patient safety) and identify other avenues in which digitally delivered psychotherapies utilized for trauma-affected populations can be engaged with and improved upon.

App for independence: A feasibility randomized controlled trial of a digital health tool for schizophrenia spectrum disorders

BACKGROUND

Given the widespread adoption of smartphone technologies, digital health strategies to address schizophrenia spectrum disorders hold considerable promise. However, there are relatively few trials of digital health interventions for schizophrenia. The App for Independence (A4i) is a multi-function digital platform co-designed by people with schizophrenia, their families, and service providers.

HYPOTHESIS

This trial was designed to assess the feasibility of A4i.

STUDY DESIGN

The study was a single-blinded randomized trial. This trial was undertaken to generate feasibility data that might inform the design and utility of future effectiveness and implementation trials. The study took place in Toronto, Canada, with 91 participants randomized to 6 months of A4i use or treatment as usual. Feasibility metrics included recruitment, engagement and retention targets, qualitative and satisfaction data, and a secondary assessment of clinical, quality of life, and treatment adherence outcomes.

STUDY RESULTS

The COVID-19 pandemic markedly affected the recruitment of both primary participants and clinicians. Feasibility outcomes were difficult to interpret, though they presented some useful information for future trials. Engagement objectives were not achieved. However, A4i-user satisfaction ratings and qualitative feedback were positive, and technology engagement was fairly positive despite implementation challenges.

CONCLUSIONS

This study adds to emerging discourse regarding how technologies such as A4i are implemented. It suggests that digital technologies are of interest and are received positively by severe mental illness populations, though more work is needed to understand how they are implemented and the optimal methods for researching them.

TikTok and teen mental health: an analysis of user-generated content and engagement

BACKGROUND

TikTok is a social media mobile application that is widely used by adolescents, and has the potential to serve as a revolutionary platform for public and mental health discourse, education, and intervention.

OBJECTIVE

Our study aimed to describe the content and engagement metrics of the hashtag #teenmentalhealth on TikTok.

METHODS

In this study, we: (a) conducted a directed content analysis of the Top 100 TikTok videos tagged with #teenmentalhealth, and (b) collected data on video engagements (views, likes, saves, and shares) and computed view-based engagement rates.

RESULTS

The videos collectively garnered 144,320,591 views; 28,289,655 likes; 219,780 comments; 1,971,492 saves; and 478,696 shares. Most of the generated content were from teens and therapists. Engagement metrics revealed strong user engagement rates across user types. The most prevalent content categories represented across videos were personal experience, coping techniques or treatment, humor, interpersonal relationships, and health campaign. The content categories with the highest engagement rates were relatable media representation, health campaign, social isolation, and humor. Only a single video incorporated evidence-based treatment content.

CONCLUSION

TikTok facilitates communication and information dissemination on teen mental health. Future research should focus on improving the quality and credibility of digital content while maintaining engagement through creativity, self-expression, and relatability. Use of popular social media platforms and community-engaged research to disseminate evidence-based content may help bridge the translational research gap.

Real-World Adoption of Mental Health Support Among Adolescents: Cross-Sectional Analysis of the California Health Interview Survey

OBJECTIVE

We aim to examine: (a) the extent to which patterns of adoption of counseling services and digital mental health interventions (DMHIs) shifted in recent years (2019-2021); (b) the impact of distress on adoption of mental health support; and (c) reasons related to adolescents' low adoption of DMHIs when experiencing distress.

METHODS

Data were from three cohorts of adolescents aged 12-17 years (n = 847 in 2019; n = 1,365 in 2020; n = 1,169 in 2021) recruited as part of the California Health Interview Survey. We estimated logistic regression models to examine the likelihood of using mental health support as a function of psychological distress, sociodemographic characteristics, and cohorts. We also analyzed adolescents' self-reported reasons for not trying DMHIs as a function of distress.

RESULTS

The proportion of adolescents reporting elevated psychological distress (∼50%) was higher than those adopting counseling services (<20%) or DMHIs (<10%). A higher level of distress was associated with a greater likelihood of receiving counseling (OR = 1.15), and using DMHIs to connect with a professional (Odds ratio (OR) = 1.11) and for self-help (OR = 1.17). Among those experiencing high distress, adolescents' top reason for not adopting an online tool was a lack of perceived need (19.2%).

CONCLUSION

Adolescents' main barriers to DMHI adoption included a lack of perceived need, which may be explained by a lack of mental health literacy. Thoughtful marketing and dissemination efforts are needed to increase mental health awareness and normalize adoption of counseling services and DMHIs.

Longitudinal interplay between subjective stress, anxiety, depression, and well-being in internet-based stress recovery intervention for nurses

BACKGROUND

Cognitive behavioural therapy (CBT) interventions are effective in reducing subjective stress. Nevertheless, the longitudinal links between mental health indicators are rarely studied in intervention research. Therefore, it is unknown how the intervention effects are sustained.

AIM

The current study investigated mechanisms explaining sustained intervention effects in a sample of medical nurses who receive a CBT-based internet-delivered stress recovery program.

METHOD

A single-group longitudinal study design with three measurement points, pre-test, post-test, and 3-month follow-up, was used in the current study. The sample consisted of nurses and assistant nurses from Lithuania (n=111, age: M (SD) = 41.69 years (10.85)) who had participated in a 6-week CBT internet intervention targeting stress recovery. Data were collected as the randomised control trial, the treatment samples were combined, and the data were analysed using cross-lagged panel analysis with four variables representing the psychological well-being and symptoms of stress, anxiety, and depression.

RESULTS

The results revealed that decreased anxiety and increased psychological well-being at post-test predicted reduced stress levels at the 3-month follow-up. In addition, decreased anxiety at post-test predicted decreased depression at follow-up.

CONCLUSIONS

Decreased anxiety and increased well-being could explain the sustainability of reduced stress following a CBT-based internet intervention for nurses. The implications of this for research and practice are discussed.

Characteristics and Outcomes of mHealth Interventions in Psychosis: Systematic Mapping Review

BACKGROUND

Mobile health (mHealth) interventions have gained popularity in augmenting psychiatric care for adults with psychosis. Interest has grown in leveraging mHealth to empower individuals living with severe mental illness and extend continuity of care beyond the hospital to the community. However, reported outcomes have been mixed, likely attributed in part to the intervention and adopted outcomes, which affected between-study comparisons.

OBJECTIVE

This study aimed to critically review outcome measures used to evaluate mHealth interventions for adults with psychosis in relation to the characteristics of mHealth interventions.

METHODS

A systematic mapping review was conducted. We searched PubMed, CINAHL, Embase, PsycINFO, and Cochrane Libraries from 1973 to the present. Selection criteria included randomized controlled studies of mHealth interventions in adults diagnosed with schizophrenia spectrum disorders. Reviewers worked in pairs to screen and extract data from included studies independently using a standardized form; disagreements were resolved by consensus with an independent reviewer. We report our findings in line with PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines.

RESULTS

A total of 1703 citations were screened; 29 publications reporting on 23 studies were included in this review. mHealth interventions for psychosis span a wide range, with psychological therapy being the most-deployed intervention (12/23, 52%), followed by psychoeducation (8/23, 35%) and active self-monitoring (8/23, 35%). Several mHealth interventions for psychosis targeted multiple pillars of biopsychosocial well-being (10/23, 43%); the bulk of interventions (16/23, 70%) incorporated features promoting users' self-management. The majority of mHealth interventions were delivered through applications (14/23, 61%) as the main medium and smartphones (17/23, 74%) as the main channel of delivery. Interventions were primarily administered in the outpatient and community settings (16/23, 70%); many were also blended with in-person sessions (11/23, 48%) or guided remotely (6/23, 26%) by persons, including health care providers or trained peer supporters. The severity of psychosis-related symptoms (21/23, 91%) was the most prevalent outcome, of which positive symptoms (13/23, 57%), mood and anxiety (10/23, 43%), and overall psychopathology severity (9/23, 39%) were most commonly measured. Patient-centric outcomes, including well-being (17/23, 74%)-particularly quality of life (10/23, 43%)-and user experience (15/23, 65%), including feasibility (7/23, 30%), acceptability (7/23, 30%), and engagement (7/23, 26%). Notably, outcome choices remained diverse despite stratification by type of mHealth intervention.

CONCLUSIONS

mHealth interventions for psychosis encompass a wide range of modalities and use outcome measures that probe various social and behavioral determinants of health. These should be considered complex interventions, and a holistic evaluation approach combining clinical and patient-centric outcomes is recommended.

Perceived Barriers and Facilitators of Behavioral-Health Modality Change Adoption During the COVID-19 Pandemic: A Systematic Review

Introduction

During the Coronavirus Disease 2019 pandemic, there was a surge in demand for mental health services worldwide, presenting challenges for healthcare institutions as they navigated changes in policy and safety regulations. In the United States, this resulted in many behavioral health modality changes to remain in compliance with the Center for Disease Control guidelines. A growing body of literature has documented these, yet few explored barriers and facilitators affecting the adoption of these modality delivery changes. The researchers conducted a systematic review using the PRISMA method, focusing on service delivery changes across healthcare systems in the United States from March 2020 to May 2022.

Objective

The study objective was to identify barriers and facilitators affecting the adoption of changes to modality delivery of behavioral health services due to pandemic restrictions.

Methods

This was a systematic review that utilized the PRISMA method. The researchers identified 445 initial articles from eight databases using predetermined keywords and implemented a three-round screening process to select the most pertinent articles for this review. The researchers used a thematic analysis focused on user-related, program-related, technology, and environment-related constructs relevant to engagement with digital mental health interventions, and also addressed provider and administrative-related barriers and facilitators of virtual behavioral health modality changes. Barriers and facilitators were operationalized using the Borghouts Model.

Results

This systematic review revealed several common barriers and facilitators, including underdeveloped technology infrastructure, privacy and confidentiality concerns, poor technology literacy, availability of diverse technology options, provider technology training, and ease of integration into everyday life.

Conclusion

This review provides insights into barriers and facilitators of modality change adoption, which could inform the development and implementation of virtual mental healthcare services and may help optimize the application of these services by improving our understanding and ability to overcome barriers influencing their adoption.

Exploring the Impact of Digital Health Tools in Enhancing Quality of Life and Psychological Adjustment in Long-term Blood Donors: A Cross-Sectional Study

BACKGROUND

Blood donation plays a critical role in public health, yet long-term donors (donating at least twice per year, for at least three years) often face challenges related to psychological adjustment and quality of life. Digital health tools could offer innovative solutions to address these issues by providing personalized support, tracking, and mental health interventions.

AIM

This study investigates the impact of digital health tools on the quality of life (QoL) and psychological adjustment of long-term blood donors in Saudi Arabia, with attention to demographic factors influencing engagement and perceptions.

METHODS

A cross-sectional survey was conducted among 498 long-term blood donors aged 18-60, recruited from blood donation centers across Saudi Arabia. Participants were recruited through social media platforms, university networks, and professional organizations to ensure a diverse sample in terms of background, long-term donation history (more than 10 times), and daily digital usage habits. Participants completed an online questionnaire incorporating the WHO Quality of Life-Brief Version (WHOQOL-BREF) and Coping Orientation to Problems Experienced Inventory (Brief-COPE) inventory to assess QoL and coping mechanisms. Descriptive statistics, two-sample t-tests, and ANOVA analyses were performed to examine differences in perceptions based on age, gender, and educational level.

RESULTS

The findings indicate a generally positive perception of digital health tools, with mean QoL scores for self-distraction (Mean ± SD: 3.33 ± 0.97), active coping (3.29 ± 0.97), and psychological well-being (3.31 ± 0.82). Significant differences were observed across age groups, with older participants reporting higher perceived benefits ( p < .0001). Gender differences were also significant, with females showing higher mean scores in psychological adjustment factors such as active coping (3.75 ± 0.62) compared to males (2.8 ± 0.81), p < .0001.

CONCLUSION

Digital health tools are perceived as beneficial for supporting QoL and psychological adjustment among blood donors, particularly for emotional and health management. Demographic factors such as age, gender, and education play a significant role in shaping these perceptions, highlighting the need for tailored interventions. Further research should explore longitudinal impacts to inform the design of more effective, culturally aligned digital health solutions for donor support.

Developing a coaching manual to provide human support for the Mothers and Babies Online (eMB) perinatal mental health intervention

Background

Depression that occurs in pregnancy or postpartum (perinatal depression) impacts 1 in 5 mothers, yet access to effective and high-quality preventative interventions remains elusive for most. Digital interventions are a promising solution to this treatment gap because of the ubiquity of mobile devices and internet access. The Mothers and Babies Online Course (eMB) is an online adaptation of Mothers and Babies, an evidence-based preventative program for postpartum depression. Preliminary studies of eMB point to its potential efficacy, but low engagement with eMB was a major limitation. Leveraging home visitors as coaches to guide clients through eMB may be a way to increase uptake and engagement, and ultimately improve outcomes when implemented in home visiting programs.

Objective

The aim of this study was to implement user-centered design methods to develop a coaching manual for home visitors to implement eMB.

Methods

10 parents and 10 home visitors were interviewed individually. Measures included a "think aloud" activity and a semi-structured interview focused on gaining insight into parent and home visitor needs and preferences regarding eMB coaching in the context of home visiting. Thematic analysis was used to derive themes and sub-themes from interview transcripts.

Results

Parents were enthusiastic about eMB, but noted barriers including limited time and forgetfulness. Parents also thought that their home visitor would be the ideal eMB coach because of the existing close relationship. Home visitors shared that eMB would fit seamlessly into their home visiting workflow. They also thought that home visitors could address challenges that parents encounter in using eMB and leverage their relationship with parents to crystalize learning. Home visitors also noted that a coaching manual would be a key part of successful eMB implementation. Thus, valuable insights from parents and home visitors were used to create a coaching manual.

Conclusions

Parents and home visitors were both enthusiastic about eMB with adjunctive coaching, and home visitors agreed that a coaching manual would be vital in guiding them to help parents through eMB. Results highlight the importance of engaging end-users in all aspects of online intervention design, including the coaching manual. The effectiveness of the intervention and utility of the coaching protocol will be evaluated in a future pilot trial.

Exploring Patients' Acceptance of Mental Health E-services in Morocco: A Quantitative Approach

Background The transformative potential of technology in addressing mental healthcare challenges is more widely acknowledged in Morocco. The government has taken active measures to address persistent mental health challenges and provide better care by exploring innovative digital solutions. Several e-health services initiatives have been implemented, including electronic health record systems, telemedicine services, e-appointment systems, and mobile health applications. However, the adoption of e-health technologies in Morocco, even for basic services such as the e-appointment system (EAS), remains notably low. Objective By assessing the constructs of the Unified Theory of Acceptance and Use of Technology (UTAUT) along with additional variables, including trust in technology and perceived mental health conditions, this study aims to identify key predictors influencing patients' acceptance and use of EAS as a reliable way of accessing mental health support.  Methods Data were collected through a questionnaire survey administered to mental health patients receiving treatment at the Psychiatry Department of the University Hospital in Casablanca, Morocco. Patients were recruited based on their willingness to participate, while those with cognitive difficulties that impaired their ability to complete the survey were excluded. The survey was conducted over seven months, from January to July 2023, with a total of 200 participants enrolled during their visits to the University Hospital. A logistic regression analysis was performed to identify the predictors of EAS acceptance among mental health patients. Results The results indicate low adoption rates of the EAS, with many patients only trying it once before reverting to traditional scheduling methods, such as phone calls or in-person visits. Perceptions show optimism about the benefits of EAS but highlight areas for improvement in social and technical support to enhance acceptance. Performance expectancy, trust in technology, and facilitating conditions were found to be significant predictors of EAS acceptance and use among mental health patients. In contrast, effort expectancy, social influence, and perceived mental health conditions were insignificant and didn't appear to influence EAS acceptance meaningfully. Conclusion This study's findings can be used to develop effective strategies that promote the widespread adoption of e-mental health services and ultimately address the barriers to accessing quality mental healthcare.

Digital Health Interventions for Informal Family Caregivers of People With First-Episode Psychosis: Systematic Review on User Experience and Effectiveness

BACKGROUND

First-episode psychosis (FEP) imposes a substantial burden not only on the individual affected but also on their families. Given that FEP usually occurs during adolescence, families overtake a big part of informal care. Early family interventions, especially psychoeducation, are crucial for informal family caregivers to best support the recovery of their loved one with FEP and to reduce the risk of a psychotic relapse as much as possible, but also to avoid chronic stress within the family due to the burden of care. Digital health interventions offer the possibility to access help quicker, use less resources, and improve informal family caregiver outcomes, for example, by reducing stress and improving caregiver quality of life.

OBJECTIVE

This study aimed to systematically identify studies on digital health interventions for informal family caregivers of people with FEP and to describe and synthesize the available literature on user experience, as well as the effectiveness of such digital applications on the clinical outcomes, consisting of (1) perceived caregiver stress, (2) expressed emotion, and (3) parental self-efficacy.

METHODS

A systematic search was carried out across 4 electronic databases. In addition, reference lists of relevant studies were hand-searched. This review aimed to include only primary studies on informal family caregivers, who had to care for a person with FEP between 15 years and 40 years of age and a diagnosis of FEP with onset of observed symptoms within the past 5 years. All types of digital interventions were included. This systematic review is aligned with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) 2020 guidelines.

RESULTS

The search identified 7 studies that reported on user experience or effectiveness of digital health interventions on perceived caregiver stress, expressed emotion, and parental self-efficacy, including 377 informal family FEP caregivers across trials. Digital health interventions-web-based, videoconferences, and mHealth-were well accepted and perceived as relevant, easy to use, and helpful by informal family FEP caregivers. Psychoeducational content was rated as the most important across studies. Perceived caregiver stress, expressed emotion, and parental self-efficacy improved in all studies that reported on these clinical outcomes.

CONCLUSIONS

The results of this review suggest that digital health interventions aimed at informal family caregivers of individuals with FEP can improve relevant clinical outcomes, with participants reporting a positive user experience. However, for some interventions reviewed, specialized in-person family care outperformed the digital intervention and partially led to better results in perceived caregiver stress and parental self-efficacy. Therefore, while digital interventions present a promising approach to alleviate the burden of care and improve informal family FEP caregiver outcomes, more studies with well-powered experimental designs are needed to further investigate the effectiveness of such applications in this population.

TRIAL REGISTRATION

PROSPERO CRD42024536715; https://tinyurl.com/bdd3u7v9.

The effectiveness of online educational interventions on impostor syndrome and burnout among medical trainees: a systematic review

BACKGROUND

Impostor syndrome and burnout are highly prevalent among medical students and trainees, significantly impacting their mental health and professional development. The advent of online educational interventions provides a promising solution, offering accessibility and flexibility to tackle these issues. This systematic review aims to evaluate the effectiveness of online educational interventions in alleviating impostor syndrome and burnout among medical learners.

METHODS

A comprehensive literature search was conducted across PubMed, Cochrane Library, Embase, Scopus and PsycInfo, identifying relevant studies published up to March 2024. Studies focusing on online interventions targeting impostor syndrome and burnout among medical students, residents, and fellows were included, and their quality was assessed using the Medical Education Research Study Quality Instrument (MERSQI).

RESULTS

Among the screened studies, six met our inclusion criteria, comprising four randomized controlled trials, one qualitative study, and one mixed-methods study. Their mean MERSQI score was 14.67 (SD 1.23), indicating a high methodological quality. The interventions adopted in these studies varied, including group coaching sessions, workshops, and provision of educational resources. Notably, two randomized trials demonstrated significant reductions in impostor syndrome symptoms after online interventions, compared with the control groups. On the other hand, results for burnout outcomes were equivocal, with some studies reporting improved emotional exhaustion scores and decreased burnout risk, while others found no significant differences.

CONCLUSIONS

Current evidence suggests that structured online educational interventions, particularly those incorporating coaching and cognitive reframing strategies, can effectively reduce impostor syndrome among medical trainees. However, the impact on burnout remains inconclusive. Further research is needed to optimize online program components and implementation strategies to comprehensively address both impostor syndrome and burnout in this population.

CLINICAL TRIAL NUMBER

As this is a systematic review rather than a clinical trial, no clinical trial number is applicable. Nonetheless, this systematic review has been prospectively registered with PROSPERO (registration number: CRD42024541034), in line with best practice recommendations for systematic reviews.

Short-Term Impact of Digital Mental Health Interventions on Psychological Well-Being and Blood Sugar Control in Type 2 Diabetes Patients in Riyadh

BACKGROUND

Type 2 diabetes (T2D) management is complicated by psychological factors, yet mental health interventions are not routinely integrated into diabetes care. This study investigated the impact of a digital mental health intervention on psychological well-being and glycemic control in T2D patients.

METHODS

A quasi-experimental study was conducted with 120 T2D patients divided into intervention (n = 60) and control (n = 60) groups. The intervention group received a one-month digital mental health intervention alongside standard care. Psychological well-being (PHQ-9, GAD-7, and DDS) and glycemic control (HbA1c) were assessed at baseline and post-intervention.

RESULTS

The intervention group showed significant improvements in HbA1c levels (-0.5%, p = 0.032), PHQ-9 (-3.1, p = 0.001), GAD-7 (-2.8, p = 0.006), and DDS (-7.7, p = 0.012) scores compared to the control group. Strong correlations were observed between psychological improvements and HbA1c reductions. Higher engagement with the digital platform was associated with greater improvements in both psychological and glycemic outcomes.

CONCLUSIONS

Integrating digital mental health interventions into T2D care can significantly improve both psychological well-being and glycemic control. These findings support a more holistic approach to diabetes management that addresses both mental and physical health aspects.

Validation of the efficacy of a personalized information-provision and exercise-coaching app on the quality of life of menopausal women

OBJECTIVES

Menopausal symptoms severely impact women's quality of life (QoL). Digital health interventions provide an accessible, personalized alternative for managing menopausal symptoms. In this study, we validated the Menopause Assistant Manager (MAMA®; Hudit, Seoul, S. Korea) app developed to provide personalized information, exercise coaching, and management of appointments and medications to menopausal women, and evaluated its efficacy on their QoL.

STUDY DESIGN

This nonrandomized interventional trial enrolled 48 peri- and postmenopausal women into experimental (MAMA) and control (Waitlist) groups (n = 24 each). Participants in the MAMA group used the app for 8 weeks, whereas the Waitlist group received no intervention. Both groups continued their usual treatments.

MAIN OUTCOME MEASURES

Clinical assessments at baseline and study completion included the World Health Organization Quality of Life Brief Version (WHOQOL-BREF), Menopause Rating Scale, Patient Health Questionnaire-9, Generalized Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-15 (PHQ-15), Menopause Emotional Symptom Questionnaire, and Subjective Memory Complaints Questionnaire.

RESULTS

Compared with the Waitlist group, the MAMA group showed postintervention improvements in WHOQOL-BREF physical health (F = 4.84, P = .03) and environmental (F = 5.01, P = .03) domains and GAD-7 (F = 5.53, P = .02) and PHQ-15 (F = 4.14, P = .048) scores. Changes in WHOQOL-BREF physical health scores negatively correlated with PHQ-15 scores (ρ = -0.53, P = .004).

CONCLUSION

By increasing treatment accessibility, the app improved physical and environmental QoL and reduced anxiety and somatic symptoms. App-based exercise coaching alleviated somatic symptoms, and the in-app psychological content reduced anxiety by normalizing menopausal symptoms, providing accurate information, decreasing uncertainty, and improving symptom perception.

TRIAL REGISTRATION

Clinical Research Information Service KCT 0008603; https://cris.nih.go.kr/cris/search/detailSearch.do?seq=25078&status=5&seq_group=25078&search_page=M.

Young People's Barriers and Facilitators of Engagement with Web-Based Mental Health Interventions for Anxiety and Depression: A Qualitative Study

BACKGROUND

The prevalence of anxiety and depressive symptoms in young people have increased in many countries around the world. Web-based mental health interventions (or W-MHIs) have the potential to reduce anxiety and depression symptoms for young people. Although W-MHIs have become more widely used by young people since the coronavirus disease 2019 (COVID-19) pandemic, real-world engagement in these W-MHIs has remained low compared with engagement reported in research studies. Moreover, there are limited studies examining factors influencing engagement with W-MHIs in the post-COVID-19 pandemic years.

OBJECTIVE

This study aims to explore barriers and facilitators of engagement with W-MHIs for anxiety and depression among young people.

METHOD

Seventeen semi-structured interviews and one focus group with three participants were conducted online via Zoom between February and March 2023. Participants were young people aged 18-25 years who had self-reported experience of anxiety and/or depression in the past 6 months, lived in Australia, and considered using W-MHIs to manage their anxiety and/or depression symptoms. Inductive thematic analysis was performed to understand the key barriers and facilitators of young people's engagement with W-MHIs.

RESULTS

Both individual- and intervention-related factors influenced young people's engagement with W-MHIs. Facilitators of engagement included personal trust and beliefs in W-MHIs, ability to contact a health professional, programme suitability (e.g., affordability, content aligning with user needs), programme usability (e.g., user interface), and accessibility of the online platform. Barriers included concerns about online security, lack of human interaction and immediate responses from health professionals (if any), and negative experience with mental health programmes. Participants expressed greater willingness to pay if they could contact health professionals during the programme.

CONCLUSION

Better promotion strategies for mental health and W-MHI awareness are needed to increase the perceived importance and priority of mental health interventions among young people. Young people should be involved in the W-MHI co-design to enhance the programme suitability and usability for young people, fostering their engagement with W-MHIs.

Current and Future Implementation of Digitally Delivered Psychotherapies: An Exploratory Mixed-Methods Investigation of Client, Clinician, and Community Partner Perspectives

INTRODUCTION

Following the initial outbreak of the COVID-19 pandemic, mental health clinicians rapidly shifted service delivery from in-person to digital. This pivot was instrumental in maintaining continuity of care and meeting increased mental health service demands. Many mental health services have continued to be offered via digital delivery. The long-term implications of delivering services via digital media remain unclear and need to be addressed.

OBJECTIVES

This study aimed to identify current micro (i.e., clinician-patient interactions), meso (i.e., clinician-clinic manager interactions), and macro (i.e., government-policy maker interactions) level issues surrounding the use of digital mental health interventions (DMHI). Such integrated assessments are important for optimizing services to improve treatment outcomes and client satisfaction.

METHODS

Participants were recruited between January 2022 and April 2023. Quantitative data were collected using a survey informed by the Hexagon Tool. Qualitative data were collected from online semi-structured interviews and focus groups and analyzed using rapid thematic analysis.

RESULTS

Survey data were collected from 11 client and 11 clinician participants. Twenty-six community partner participants were interviewed for this study. Client and clinician participants expressed satisfaction with the implementation of DMHI. Community partner participants generally agreed, reporting that such services will play an integral role in mental healthcare moving forward. Community partners shared that certain issues, such as uncertainty surrounding policies and regulations related to digital delivery, must be addressed in the future.

CONCLUSIONS

Participants in this study supported the use of DMHI despite difficulties implementing these programs, asserting that such services are not a temporary fix but a pivotal cornerstone in the future of mental healthcare service delivery.

Social Media and Suicide Risk in Youth

Importance

Youth, parents, educators, and policymakers are concerned about the potential relationship between social media use and negative mental health outcomes, including risk for suicidal thoughts and behaviors.

Observations

Current research shows complex and conflicting relationships between social media use and suicide risk. A key limiting factor in clarifying these relationships is a dearth of available information on contextual factors around social media use, with most research focusing only on hours or amount of engagement. Whereas there are clear associations between some types of social media use and suicide risk, there are also many opportunities to mitigate suicide risk through social media. Several methodologic and measurement issues make research challenging. Researchers have only begun to explore how specific risk factors interact with individual vulnerabilities, how social media can be used to enhance youth well-being, and whether and under what circumstances mitigation strategies can be helpful.

Conclusions and Relevance

This overview identifies research gaps and methodological challenges that need to be addressed to guide intervention strategies and future policy relevant to youth and suicide risk.

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

Introduction

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

Methods

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

Results

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

Discussion

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

Clinical Trial Registration

www.ClinicalTrials.gov, identifier (NCT05291611).

Effects of Actissist, a digital health intervention for early psychosis: A randomized clinical trial

Schizophrenia affects 24 million people worldwide. Digital health interventions drawing on psychological principles have been developed, but their effectiveness remains unclear. This parallel, assessor-blinded, randomized clinical trial aimed to investigate whether a cognitive behaviour therapy-informed digital health intervention (Actissist app) confers added benefit on psychotic symptoms over and above remote symptom monitoring (ClinTouch app). Participants recruited from UK community health services were randomized 1:1 to receive either Actissist plus treatment as usual (TAU) or ClinTouch plus TAU. Eligible participants were adults with schizophrenia-spectrum psychosis within five years of first episode onset meeting a criterion level of positive symptoms severity. The primary outcome was Positive and Negative Syndrome Scale (PANSS) symptoms total score at 12 weeks post-randomization. Intention-to-treat analysis included 172 participants, with 149 participants (86.6 %) providing primary outcome data. Actissist plus TAU was not associated with greater reduction than an active control remote symptom monitoring app (ClinTouch) in PANSS total score at post-randomization. There were no significant effects between groups across secondary measures. There were no serious adverse reactions. Both groups improved on the primary psychotic symptoms measure at primary end-point and on secondary measures over time. The Actissist app is safe but not superior to digital symptom monitoring.

Effectiveness of an online text-based stress management program for employees who work in micro- and small-sized enterprises: A randomized controlled trial

Background

Internet psychoeducational interventions improve employees' mental health. However, implementing them for employees in micro- and small-sized enterprises (MSEs) is challenging.

Objectives

This randomized controlled trial examined the effectiveness of a fully automated text-based stress management program, "WellBe-LINE," in improving mental health and job-related outcomes for employees in workplaces with fewer than 50 employees.

Methods

The program was developed based on stakeholder interviews and surveys of 1000 employees at MSEs. Adult full-time employees at an enterprise with fewer than 50 employees were recruited from registered members of a web survey company in Japan. Participants were randomly allocated to the intervention or control group (1:1). Participants in the intervention group were invited to register for the program using the LINE app. Psychological distress measured by Kessler 6 (K6) was a primary outcome, with self-administrated questionnaires at baseline, 2-month (post), and 6-month follow-ups. A mixed model for repeated measures conditional growth model analysis was conducted using a group ∗ time interaction as an intervention effect. Implementation outcomes were measured through implementation outcome scales for digital mental health (iOSDMH).

Results

1021 employees were included in this study. No significant effects were shown in any outcome. The reported implementation outcomes were positively evaluated, with 80 % acceptability, 86 % appropriateness, and feasibility (ease of understanding the contents [88 %], frequency [86 %], and length of content [86 %]).

Conclusions

A simple text-message program for employees at MESs was acceptable, appropriate, and feasible; however, it did not result in improved mental health or job-related outcomes.

Trial registration

UMIN clinical trial registration: UMIN000050624 (registration date: March 18, 2023).

User perceptions and utilisation of features of an AI-enabled workplace digital mental wellness platform 'mindline at work'

BACKGROUND

The working population encounters unique work-related stressors. Despite these challenges, accessibility to mental healthcare remains limited. Digital technology-enabled mental wellness tools can offer much-needed access to mental healthcare. However, existing literature has given limited attention to their relevance and user engagement, particularly for the working population.

AIM

This study aims to assess user perceptions and feature utilisation of mindline at work, a nationally developed AI-enabled digital platform designed to improve mental wellness in the working population.

METHODS

This study adopted a mixed-methods design comprising a survey (n=399) and semistructured interviews (n=40) with office-based working adults. Participants were asked to use mindline at work for 4 weeks. We collected data about utilisation of the platform features, intention for sustained use and perceptions of specific features.

RESULTS

Participants under 5 years of work experience reported lower utilisation of multimedia resources but higher utilisation of emotion self-assessment tools and the AI chatbot compared with their counterparts (p<0.001). The platform received a moderate level of satisfaction (57%) and positive intention for sustained use (58%). Participants regarded mindline at work as an 'essential' safeguard against workplace stress, valuing its secure and non-judgmental space and user anonymity. However, they wanted greater institutional support for office workers' mental wellness to enhance the uptake. The AI chatbot was perceived as useful for self-reflection and problem-solving, despite limited maturity.

CONCLUSION

Identifying the unique benefits of specific features for different segments of working adults can foster a personalised user experience and promote mental well-being. Increasing workplace awareness is essential for platform adoption.

Cognitive-behavioral treatment for insomnia and mindfulness-based stress reduction in nurses with insomnia: a non-inferiority internet delivered randomized controlled trial

Background

Insomnia is a highly prevalent sleep disorder frequently comorbid with mental health conditions in nurses. Despite the effectiveness of evidence-based cognitive behavioral therapy for insomnia (CBT-I), there is a critical need for alternative approaches. This study investigated whether internet-delivered mindfulness-based stress reduction (IMBSR) for insomnia could be an alternative to internet-delivered CBT-I (ICBT-I).

Objective

The hypothesis was that the IMBSR would be noninferior to the ICBT-I in reducing the severity of insomnia among nurses with insomnia. Additionally, it was expected that ICBT-I would produce a greater reduction in the severity of insomnia and depression than IMBSR.

Method

Among 240 screened nurses, 134 with insomnia were randomly allocated (IMBSR, n = 67; ICBT-I, n = 67). The assessment protocol comprised clinical interviews and self-reported outcome measures, including the Insomnia Severity Index (ISI), Patient Health Questionnaire-9 (PHQ-9), the 15-item Five Facet Mindfulness Questionnaire (FFMQ), and the Client Satisfaction Questionnaire (CSQ-I).

Results

The retention rate was 55% with 77.6% (n = 104) of participants completing the study. At post-intervention, the noninferiority analysis of the ISI score showed that the upper limit of the 95% confidence interval was 4.88 (P = 0.46), surpassing the pre-specified noninferiority margin of 4 points. Analysis of covariance revealed that the ICBT-I group had significantly lower ISI (Cohen's d = 1.37) and PHQ-9 (Cohen's d = 0.71) scores than did the IMBSR group. In contrast, the IMBSR group showed a statistically significant increase in the FFMQ-15 score (Cohen's d = 0.67). Within-group differences showed that both the IMBSR and ICBT-I were effective at reducing insomnia severity and depression severity and improving mindfulness.

Conclusion

Overall, nurses demonstrated high levels of satisfaction and adherence to both interventions. The IMBSR significantly reduced insomnia severity and depression, but the findings of this study do not provide strong evidence that the IMBSR is at least as effective as the ICBT-I in reducing insomnia symptoms among nurses with insomnia. The ICBT-I was found to be significantly superior to the IMBSR in reducing insomnia severity, making it a recommended treatment option for nurses with insomnia.

Design of Digital Mental Health Platforms for Family Member Cocompletion: Scoping Review

BACKGROUND

The COVID-19 pandemic placed an additional mental health burden on individuals and families, resulting in widespread service access problems. Digital mental health interventions suggest promise for improved accessibility. Recent reviews have shown emerging evidence for individual use and early evidence for multiusers. However, attrition rates remain high for digital mental health interventions, and additional complexities exist when engaging multiple family members together.

OBJECTIVE

As such, this scoping review aims to detail the reported evidence for digital mental health interventions designed for family use with a focus on the build and design characteristics that promote accessibility and engagement and enable cocompletion by families.

METHODS

A systematic literature search of MEDLINE, Embase, PsycINFO, Web of Science, and CINAHL databases was conducted for articles published in the English language from January 2002 to March 2024. Eligible records included empirical studies of digital platforms containing some elements designed for cocompletion by related people as well as some components intended to be completed without therapist engagement. Platforms were included in cases in which clinical evidence had been documented.

RESULTS

Of the 9527 papers reviewed, 85 (0.89%) met the eligibility criteria. A total of 24 unique platforms designed for co-use by related parties were identified. Relationships between participants included couples, parent-child dyads, family caregiver-care recipient dyads, and families. Common platform features included the delivery of content via structured interventions with no to minimal tailoring or personalization offered. Some interventions provided live contact with therapists. User engagement indicators and findings varied and included user experience, satisfaction, completion rates, and feasibility. Our findings are more remarkable for what was absent in the literature than what was present. Contrary to expectations, few studies reported any design and build characteristics that enabled coparticipation. No studies reported on platform features for enabling cocompletion or considerations for ensuring individual privacy and safety. None examined platform build or design characteristics as moderators of intervention effect, and none offered a formative evaluation of the platform itself.

CONCLUSIONS

In this early era of digital mental health platform design, this novel review demonstrates a striking absence of information about design elements associated with the successful engagement of multiple related users in any aspect of a therapeutic process. There remains a large gap in the literature detailing and evaluating platform design, highlighting a significant opportunity for future cross-disciplinary research. This review details the incentive for undertaking such research; suggests design considerations when building digital mental health platforms for use by families; and offers recommendations for future development, including platform co-design and formative evaluation.

A Systematic Review and Bayesian Network Meta-Analysis Comparing In-Person, Remote, and Blended Interventions in Physical Activity, Diet, Education, and Behavioral Modification on Gestational Weight Gain among Overweight or Obese Pregnant Individuals

BACKGROUND

Despite the well-documented adverse outcomes associated with obesity during pregnancy, this condition remains a promising modifiable risk factor.

OBJECTIVES

The aim of this study was to ascertain the most effective treatment modalities for gestational weight gain (GWG) in pregnant women classified as overweight or obese.

METHODS

A systematic search was conducted across 4 electronic databases: Embase, EBSCOhost, PubMed, and Web of Science. To assess the quality of evidence, the Confidence In Network Meta-Analysis (CINeMA) approach, grounded in the Grading of Recommendations Assessment, Development, and Evaluation framework, was employed. A Bayesian network meta-analysis was conducted to synthesize the comparative effectiveness of treatment modalities based on GWG outcomes.

RESULTS

The analysis incorporated 60 randomized controlled trials, encompassing 16,615 participants. Modes of intervention administration were classified as remote (R: eHealth [e] and mHealth [m]), in-person (I), and a combination of both (I+R). The interventions comprised 5 categories: education (E), physical activity (PA), dietary (D), behavior modification (B), and combinations thereof. The quality of the evidence, as evaluated by CINeMA, ranged from very low to high. Compared to the control group, the I-D intervention (mean difference [MD]: -1.27; 95% confidence interval [CI]: -2.23, -0.32), I-PADB (MD: -0.60, 95% CI: -1.19, -0.00), and I-B (MD: -0.34, 95% CI: -0.57, -0.10) interventions showed significant efficacy in reducing GWG.

CONCLUSIONS

Preliminary findings suggest that the I-D intervention is the most efficacious in managing GWG among pregnant women who are overweight or obese, followed by I-PADB and I-B+R-B(m) treatments. These conclusions are drawn from evidence of limited quality and directness, including insufficient data on PA components used in the interventions. Owing to the absence of robust, direct evidence delineating significant differences among various GWG management strategies, it is tentatively proposed that the I-D intervention is likely the most effective approach. This study was registered with PROSPERO as CRD42023473627.

Comparing in Person to Telehealth Delivery of a Family Violence Intervention

There is increasing evidence that therapy and intervention services delivered by telehealth are effective at reducing a variety of mental health symptoms. Limited studies have indicated online services can reduce intimate partner violence (IPV), but none have tested in-person compared to telehealth-delivered interventions for men who have used IPV. Clinical outcome data from 311 parents (192 fathers and 119 linked coparent mothers) engaged in the Fathers for Change (F4C) intervention following referral by child protective services for IPV were examined to determine if in-person delivery of the intervention differed in terms of client treatment engagement and retention or outcomes. Parents who enrolled during a 1-year period prior to the COVID pandemic received their F4C therapy in person, while those who enrolled during the pandemic received their intake and most of their sessions via telehealth delivery. Parents reported significantly greater symptoms of depression, anxiety, and stress prior to treatment if they enrolled prior to COVID than if they enrolled during the pandemic. There were few differences in completion rates or outcomes based on in-person compared to telehealth delivery. Fathers were slightly more likely to complete treatment and attended a significantly higher percentage of their sessions when it was delivered by telehealth during COVID. Fathers reported significantly lower stress scores posttreatment when they received COVID telehealth delivery compared to prior to COVID in-person delivery of F4C. These findings suggest that telehealth may be an appropriate and viable option for the delivery of IPV interventions for families.

Improving Access and Quality of Behavioral Health Services for Health Care Employees

OBJECTIVE

To describe key features and the initial implementation of an employer-sponsored program designed to increase access to quality mental health treatment for employees of a large health care system. Methods: Retrospective data were collected on employer's efforts to develop a programmatic solution to address barriers to accessing quality mental health treatment among its employees and on initial program implementation. Results: Data from the initial cohort ( N = 1049) of program participants support the use of low threshold digital tools to enhance access to care, the importance of care navigation and a robust curated provider network in matching employees to appropriate care options, and the value of providing online, evidence-based psychotherapy to facilitate high rates of treatment engagement. Conclusions: Findings can help inform employers about approaches to improve access to quality mental health treatment for their employees.

Heterogeneity of Treatment Effects in Internet- and Mobile-Based Interventions for Depression: A Systematic Review and Meta-Analysis

Importance

While the effects of internet- and mobile-based interventions (IMIs) for depression have been extensively studied, no systematic evidence is available regarding the heterogeneity of treatment effects (HTEs), indicating to what extent patient-by-treatment interactions exist and personalized treatment models might be necessary.

Objective

To investigate the HTEs in IMIs for depression as well as their efficacy and effectiveness.

Data Sources

A systematic search in Embase, MEDLINE, Central, and PsycINFO for randomized clinical trials and supplementary reference searches was conducted on October 13, 2019, and updated March 25, 2022. The search string included various terms related to digital psychotherapy, depression, and randomized clinical trials.

Study Selection

Titles, abstracts, and full texts were reviewed by 2 independent researchers. Studies of all populations with at least 1 intervention group receiving an IMI for depression and at least 1 control group were eligible, if they assessed depression severity as a primary outcome and followed a randomized clinical trial (RCT) design.

Data Extraction and Synthesis

This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines. Risk of bias was evaluated using the Cochrane Risk of Bias Tool. HTE was investigated using logarithmic variance ratios (lnVR) and effect sizes using Hedges g. Three-level bayesian meta-regressions were conducted.

Main Outcomes and Measures

Heterogeneity of treatment effects was the primary outcome of this study; magnitudes of treatment effect sizes were the secondary outcome. Depression severity was measured by different self-report and clinician-rated scales in the included RCTs.

Results

The systematic review of 102 trials included 19 758 participants (mean [SD] age, 39.9 [10.58] years) with moderate depression severity (mean [SD] in Patient Health Questionnaire-9 score, 12.81 [2.93]). No evidence for HTE in IMIs was found (lnVR = -0.02; 95% credible interval [CrI], -0.07 to 0.03). However, HTE was higher in more severe depression levels (β̂ = 0.04; 95% CrI, 0.01 to 0.07). The effect size of IMI was medium (g = -0.56; 95% CrI, -0.46 to -0.66). An interaction effect between guidance and baseline severity was found (β̂ = -0.24, 95% CrI, -0.03 to -0.46).

Conclusions and Relevance

In this systematic review and meta-analysis of RCTs, no evidence for increased patient-by-treatment interaction in IMIs among patients with subthreshold to mild depression was found. Guidance did not increase effect sizes in this subgroup. However, the association of baseline severity with HTE and its interaction with guidance indicates a more sensitive, guided, digital precision approach would benefit individuals with more severe symptoms. Future research in this population is needed to explore personalization strategies and fully exploit the potential of IMI.

Implementing a Hospital Call Center Service for Mental Health in Uganda: User-Centered Design Approach

BACKGROUND

Mental health conditions are a significant public health problem globally, responsible for >8 million deaths per year. In addition, they lead to lost productivity, exacerbate physical illness, and are associated with stigma and human rights violations. Uganda, like many low- and middle-income countries, faces a massive treatment gap for mental health conditions, and numerous sociocultural challenges exacerbate the burden of mental health conditions.

OBJECTIVE

This study aims to describe the development and formative evaluation of a digital health intervention for improving access to mental health care in Uganda.

METHODS

This qualitative study used user-centered design and design science research principles. Stakeholders, including patients, caregivers, mental health care providers, and implementation experts (N=65), participated in focus group discussions in which we explored participants' experience of mental illness and mental health care, experience with digital interventions, and opinions about a proposed digital mental health service. Data were analyzed using the Consolidated Framework for Implementation Research to derive requirements for the digital solution, which was iteratively cocreated with users and piloted.

RESULTS

Several challenges were identified, including a severe shortage of mental health facilities, unmet mental health information needs, heavy burden of caregiving, financial challenges, stigma, and negative beliefs related to mental health. Participants' enthusiasm about digital solutions as a feasible, acceptable, and convenient method for accessing mental health services was also revealed, along with recommendations to make the service user-friendly, affordable, and available 24×7 and to ensure anonymity. A hospital call center service was developed to provide mental health information and advice in 2 languages through interactive voice response and live calls with health care professionals and peer support workers (recovering patients). In the 4 months after launch, 456 calls, from 236 unique numbers, were made to the system, of which 99 (21.7%) calls went to voicemails (out-of-office hours). Of the remaining 357 calls, 80 (22.4%) calls stopped at the interactive voice response, 231 (64.7%) calls were answered by call agents, and 22 (6.2%) calls were not answered. User feedback was positive, with callers appreciating the inclusion of peer support workers who share their recovery journeys. However, some participant recommendations (eg, adding video call options) or individualized needs (eg, prescriptions) could not be accommodated due to resource limitations or technical feasibility.

CONCLUSIONS

This study demonstrates a systematic and theory-driven approach to developing contextually appropriate digital solutions for improving mental health care in Uganda and similar contexts. The positive reception of the implemented service underscores its potential impact. Future research should address the identified limitations and evaluate clinical outcomes of long-term adoption.

Trends of fear and anger on YouTube during the initial stage of the COVID-19 outbreak in South Korea

BACKGROUND

The COVID-19 pandemic has been the most widespread and threatening health crisis experienced by the Korean society. Faced with an unprecedented threat to survival, society has been gripped by social fear and anger, questioning the culpability of this pandemic. This study explored the correlation between social cognitions and negative emotions and their changes in response to the severe events stemming from the COVID-19 pandemic in South Korea.

METHODS

The analysis was based on a cognitive-emotional model that links fear and anger to the social causes that trigger them and used discursive content from comments posted on YouTube's COVID-19-related videos. A total of 182,915 comments from 1,200 videos were collected between January and December 2020. We performed data analyses and visualizations using R, Netminer 4.0, and Gephi software and calculated Pearson's correlation coefficients between emotions.

RESULTS

YouTube videos were analyzed for keywords indicating cognitive assessments of major events related to COVID-19 and keywords indicating negative emotions. Eight topics were identified through topic modeling: causes and risks, perceptions of China, media and information, infection prevention rules, economic activity, school and infection, political leaders, and religion, politics, and infection. The correlation coefficient between fear and anger was 0.462 (p < .001), indicating a moderate linear relationship between the two emotions. Fear was the highest from January to March in the first year of the COVID-19 outbreak, while anger occurred before and after the outbreak, with fluctuations in both emotions during this period.

CONCLUSIONS

This study confirmed that social cognitions and negative emotions are intertwined in response to major events related to the COVID-19 pandemic, with each emotion varying individually rather than being ambiguously mixed. These findings could aid in developing social cognition-emotion-based public health strategies through education and communication during future pandemic outbreaks.

Leveraging Digital Media to Promote Youth Mental Health: Flipping the Script on Social Media-Related Risk

Purpose of Review

Despite growing public concern about the negative impact of digital media for mental health problems, there are key ways in which digital media can be leveraged to prevent such outcomes. This article reviews research exploring the ways that digital media, particularly social media, can be used to prevent negative mental health outcomes and promote youth mental health and well-being.

Recent findings

Research indicates that media can be protective against mental health problems and promote mental health by enabling social support and destigmatizing mental illness, especially for youth with limited resources. Media also can be leveraged to identify those at risk, to educate, provide resources, and promote well-being, and to track symptoms and intervene to prevent or mitigate negative mental health outcomes. There is limited research on interventions designed to reduce the negative effects of digital media on mental health, especially those that harness media itself, a critical area of future research.

Summary

This article provides a summary of the current evidence on this topic, highlights key directions for future research, and provides evidence-based recommendations for adolescents, families, educators, clinicians, industry, and policy-makers to prevent mental health problems related to media.

Outcomes of Best-Practice Guided Digital Mental Health Interventions for Youth and Young Adults with Emerging Symptoms: Part I. A Systematic Review of Socioemotional Outcomes and Recommendations

Youth-specific digital mental health interventions (DMHI) represent an emerging field of study, and aim to increase access, improve socioemotional outcomes, and, where required, support triage to targeted interventions. However, prior reviews have reported inconsistent findings on the clinical effectiveness of such interventions in young adults (12-25 years). Further, shortfalls remain for the impact of guided interventions based on the mode of delivery and the type of human support personnel (e.g., professional or peer) guiding the intervention. In response, this systematic review, co-designed with Australia's leading mental health organization, aims to assess the effectiveness of guided digital programs in improving youth socioemotional outcomes. Included studies involve young people experiencing mental ill-health, receiving brief (i.e., 1-12 sessions), digitally delivered (at least partially) psychological interventions that were guided or partially guided, tested in a type of experimental study, with a socioemotional outcome. Specific socioemotional outcomes examined were depression, anxiety, stress, wellbeing, mindfulness, and quality of life. A systematic search of the contemporary published and grey literature identified 22,482 records with 32 relevant records published between 2018 and 2023. A narrative synthesis guided integration of findings. Results demonstrated strong evidence for the effectiveness of guided interventions on socioemotional outcomes (i.e., depression, anxiety, stress) yet these effects were short-lived. When factoring in the use of different control groups (i.e., active vs. inactive), inconsistent effects were observed for the socioemotional outcomes of depression, anxiety, and stress. The mode of delivery (i.e., asynchronous, synchronous, combined) and the type of human support personnel did not appear to impact socioemotional outcomes. Results indicate efficacious brief digital interventions for depression and anxiety include refresher/follow-up content, goal setting content, and relapse prevention content. In contrast, poor efficacy is associated with interventions that include homework tasks, self-monitoring, and log-keeping content.PROSPERO, ID CRD42023405812.

Association between heart rate variability metrics from a smartwatch and self-reported depression and anxiety symptoms: a four-week longitudinal study

Background

Elucidating the association between heart rate variability (HRV) metrics obtained through non-invasive methods and mental health symptoms could provide an accessible approach to mental health monitoring. This study explores the correlation between HRV, estimated using photoplethysmography (PPG) signals, and self-reported symptoms of depression and anxiety.

Methods

A 4-week longitudinal study was conducted among 47 participants. Time-domain and frequency-domain HRV metrics were derived from PPG signals collected via smartwatches. Mental health symptoms were evaluated using the Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) at baseline, week 2, and week 4.

Results

Among the investigated HRV metrics, RMSSD, SDNN, SDSD, LF, and the LF/HF ratio were significantly associated with the PHQ-9 score, although the number of significant correlations was relatively small. Furthermore, only SDNN, SDSD and LF showed significant correlations with the GAD-7 score. All HRV metrics showed negative correlations with self-reported clinical symptoms.

Conclusions

Our findings indicate the potential of PPG-derived HRV metrics in monitoring mental health, thereby providing a foundation for further research. Notably, parasympathetically biased HRV metrics showed weaker correlations with depression and anxiety scores. Future studies should validate these findings in clinically diagnosed patients.