Digital therapeutics (DTx) are a new treatment class for major depressive disorder (MDD). This study evaluated the effectiveness and safety of a novel DTx, CT-152 (Rejoyn™), for MDD adjunctive to antidepressant medication monotherapy.

Adults aged 22-64 years with MDD having an inadequate response to current antidepressant medication monotherapy were enrolled in a phase 3 multicenter, randomized, blinded, sham-controlled, remote trial with a 6-week intervention and 4-week extension. Delivered via smartphone apps, the CT-152 group received a cognitive-emotional and behavioral therapeutic intervention; the control group received a sham app with a working memory task. Both groups received supportive text messages and continued current antidepressant medication. The primary outcome was Montgomery-Åsberg Depression Rating Scale (MADRS) score change from baseline to week 6. Treatment-emergent adverse events (TEAEs) were assessed.

Overall, 386 participants were randomly assigned (CT-152, n = 194; sham, n = 192). In the primary efficacy analysis of participants with ≥1 treatment session and ≥ 1 MADRS assessment post-baseline (n = 354), MADRS score changed -9.03 in the CT-152 group and - 7.25 in the sham (difference - 1.78, P = 0.0568). These results were consistent with data from additional patient and clinician scales. In a supportive analysis of the intent-to-treat sample (n = 386), the between-group difference in 6-week MADRS change from baseline was -2.12 (P = 0.0211), favoring CT-152. No TEAEs or discontinuations were considered related to CT-152, and no deaths occurred.

CT-152 resulted in depression symptom improvement and a favorable safety profile. Based on these data, CT-152 became the first FDA-authorized prescription DTx for the adjunctive treatment of MDD.

The bipolar disorder field suffers from underinvestment of clinical and research resources, missing links between validated measures and individual biology, poorly understood practice variation, and gaps in clinical practice. These challenges underscore the need for systems-level approaches to improve care delivery. Learning Health Networks (LHNs) are a growing approach driving advances in care delivery by leveraging data and experiences to identify best practices. Key features of LHNs include diverse stakeholder engagement, standardized data collection, measurement-based care, shared governance, information technology infrastructure, and evidence generation. LHNs enable rapid dissemination of shared learnings to drive improvement in bipolar disorder care.

A case study of the Breakthrough Discoveries for thriving with Bipolar Disorder (BD2) Integrated Network.

The BD2 Integrated Network is composed of a longitudinal cohort study embedded within an LHN. A novel data platform to integrate new vectors of association in bipolar disorder that include electronic health record, smartphone, and wearable device data will produce actionable evidence to guide care delivery improvements. Feedback from individuals with lived experience of bipolar disorder prompted changes in the measurement strategy including: 1) reframing goals to increase positive outcomes instead of decreasing disease measures; and, 2) considering wellness factors that extend beyond the medical system.

The BD2 Integrated Network is currently enrolling, and actionable insights are forthcoming.

Lessons learned include the value of lived experience stakeholder input to shape the LHN and the need to navigate challenges in identifying common measures. This work provides a roadmap for advancing bipolar disorder treatment.

Climate change is intensifying the frequency and severity of climate-related disasters, posing significant challenges to public mental health. This study explores the relationship between successive climate events and emergency department (ED) visits for depression and anxiety in the Greater Houston area from 2019 to 2023. Combining monthly data from the Texas Syndromic Surveillance System, the National Weather Service, and the Agency for Healthcare Research and Quality, we conducted a time-series analysis to assess the impact of successive weather events on ED visits for anxiety and depression. Our random forest models reveal significant associations between weather variables and mental health-related ED visits. Specifically, time series decomposition uncovered distinct seasonal patterns, with specific periods consistently showing higher demand for mental health services. Additionally, the analysis indicates that severe weather events that restrict mobility, such as hurricanes and tropical storms, initially lead to a decrease in ED visits, followed by a surge in the following months, whereas events that do not impede travel, such as heatwaves and droughts, correlate with immediate increases in visits. Feature importance analysis indicated social factors, such as the number of households and children ≤17, along with weather variables like average temperature and total precipitation, were significant predictors of ED visits for both anxiety and depression. Access to healthcare services, including proximity to healthcare clinics and treatment centers, also played a crucial role. These observed patterns underscore the significant influence of seasonal and weather-related factors on mental health and underscore the need for targeted public health interventions that consider the timing and nature of climate events, as well as strategies to enhance community resilience and strengthen mental health support systems.

Exposure therapy is the gold standard treatment for anxiety and related disorders. Despite its strong evidence, it is rarely delivered in routine clinical settings. A growing body of literature has identified factors that impede delivery of exposure therapy and strategies that can increase its use. This review of research from the past 5 years: (1) summarizes barriers to delivering exposure; (2) identifies evidence-based strategies to support clinicians in increasing their delivery of exposure; and (3) highlights emerging trends and challenges in supporting clinicians to use exposure.

Barriers to delivering exposure occur at the clinician, client, and organizational levels. Clinician training and organizational policies need to directly address multi-level barriers to support clinicians in using exposure. Technology-related considerations (e.g., virtual reality, telehealth) should be considered and clinicians should receive support from others (e.g., bachelor's-level providers; family peer navigators) to address increasing rates of anxiety disorders.

There is growing evidence that the uptake and use of telehealth is influenced by the distinct specialty area or type of healthcare service provided, with mental health services presenting particular challenges. However, little is known about how telehealth use differs between different mental health professions, and no qualitative research has explored variations in telehealth use and perspectives at the profession level within Australian mental health services. To address this gap, we analyzed transcripts from 19 semi-structured interviews conducted with mental healthcare professionals in a local health district within New South Wales, Australia. A secondary analysis of the data revealed the distinct ways in which different mental health professions perceive and engage with telehealth depending on their specific role and approach to practice. Application of a systems theory lens highlighted the challenges each profession faces at different levels of telehealth engagement, and the macro-systemic power dynamics and hierarchies that shape profession-specific differences in telehealth use.

Hybrid work is common in mental health care following the COVID-19 pandemic. Although widespread, little is known about how to optimize it. We review relevant literature for patients, employees and mental health systems, and offer guidance on navigating tradeoffs in the application of hybrid work.

Patients often prefer telehealth visits due to convenience, but in-person visits are sometimes clinically indicated or preferred. The mental health workforce appreciates reduced commutes and flexibility, though may risk increased isolation and work fatigue. Mental health systems may realize cost savings, although these may create challenges for accommodating patient in-person needs or employee preferences. Hybrid work in mental health care presents a promising path forward but requires thoughtful tradeoff management. It is unlikely that all benefits of hybrid work can be realized at once. Settings may benefit from identifying top priorities and designing hybrid work arrangements accordingly.

Rapid shifts in modes of mental health service delivery, for example, from in-person to telehealth, profoundly impact mental health workers, particularly those providing services for at-risk populations in community mental health (CMH) settings. The COVID-19 pandemic offered a unique opportunity to examine the impacts of one such transition, as CMH agencies were compelled to adopt telemental health services abruptly due to mandatory stay-at-home orders. This study examines the experiences of CMH workers during the emergency transition to remote work and telemental health services in 2020 at a large CMH agency in California. Seven months after the emergency transition to remote work, 112 providers and staff members submitted written responses to open-ended self-report questions about the impacts of remote work and the transition to telemental health on their professional and personal lives. A team of five researchers analyzed these data using content analysis. Findings underscore the dual nature of the shift to remote work and telemental health, exposing specific positive and negative impacts. Three categories of themes are identified and analyzed: structural changes, impact on staff, and impact on clinical care. Multiple themes are identified and explored within these categories, including work environment, productivity, and emotional well-being. Understanding CMH workers' needs and experiences during the transition to remote work and telemental health is critical to ensuring provider well-being and service quality. Building on these insights, tailored strategies can be developed to support the CMH workforce better during future periods of transition in modes of mental health service delivery.

Multiple cause of death data allow for a more granular analysis of the pandemic's impact on mortality from non-COVID-19 causes of death compared with analysis of a single underlying cause of each death because they are often a co-morbidity of COVID-19. This study estimates excess mortality in the US of non-COVID-19 causes measured as a multiple cause (reported anywhere on the death certificate). Death registration data were used to conduct Poisson regressions of 24 non-COVID-19 causes to estimate expected age-standardized death rates and excess mortality in 2020-21, including by place of death. The ratio of COVID-19 mortality (as underlying or contributing cause) to excess mortality of each non-COVID-19 cause was calculated. During 2020-21, 21 of 24 non-COVID-19 causes exhibited excess mortality, highest for pneumonia (males 126.5%; 95% confidence interval 116.6-136.9%), other respiratory diseases (males 45.2%; 42.2-48.2%), other kidney diseases (males 45.0%, 37.8-52.0%), diabetes (females 38.3%, 32.8-43.4%) and hypertensive heart disease (females 28.9%, 22.8-33.9%). Suicide and influenza mortality was lower than expected. The ratio of COVID-19 (underlying cause) to excess mortality was 74.2% (69.2-79.7%) for men and 68.7% (63.5-75.0%) for women, was significantly higher for hospital (over 90%) than home (less than 16%) deaths and varied greatly between causes. The pandemic led to excess mortality for almost all non-COVID-19 causes in the US when measured as a multiple cause, being particularly high in several non-communicable diseases that increase the risk of dying from COVID-19. COVID-19 appears underreported for home deaths due to its low ratio to excess mortality in this setting.

The move to remote working during the COVID-19 pandemic has remained an integral method of mental health service delivery. Yet there is a lack of evidence on the longer-term impact of this change, or on the comparative effectiveness of different remote formats. This retrospective observational cohort study examined the effect of the move to remote delivery on the effectiveness and practice of Community Mental Health Nurses in primary care. Data from 1634 referrals was examined across three cohorts: Those treated face-to-face pre-pandemic; those treated remotely during the pandemic restrictions; and those treated in a blended approach (remote and face-to-face) up to 16 months post-pandemic. Means, standard deviations and effect sizes for pre-post treatment change are reported for all clinical measures. Logistic regression examined predictors of reliable change. Despite increased severity in the mental health problems treated, effect sizes for remote treatment post-pandemic (0.5-0.8) were comparable to those for pre-pandemic face-to-face treatment (0.5-0.9). The blended use of online video appointments predicted better engagement and reliable improvement. The sole use of telephone appointments for complex problems predicted lower rates of engagement and improvement.

This study reports the prevalence of inpatient, emergency department (ED), and outpatient mental health service usage of children/youth before, during, and after onset of the COVID-19 pandemic in Rhode Island. Additionally, we identify significant changes in usage across these time periods and the prevalence of each service type contingent upon various demographic profiles. This retrospective observational analysis used Rhode Island Medicaid claims to identify the unique children and youth who used inpatient, ED, and outpatient mental health services across three key time periods: pre-onset (March 2019-February 2020); onset (March 2020-February 2021); and post-onset (March 2021-February 2022). We used z-tests to analyze changes in the proportion of children/youth who accessed these services in each period. We examined relationships between demographic characteristics and time period with chi-square tests. Significant decreases in inpatient and ED usage were identified from pre-onset to onset (p < .05). While inpatient nearly returned to pre-pandemic usage in post-onset, ED usage remained lower. Outpatient usage increased significantly leading up to the pandemic but remained at similar levels between pre-onset and post-onset. From pre-onset to post-onset, females grew as a percentage of all inpatient, ED, and outpatient users. Over this same period, the proportion of inpatient users aged 12-18 increased and the proportion of ED and outpatient users aged 19-24 increased. Female usage of mental health services increased significantly, and older children/youth seemed to drive any significant increases. Future public health and disaster preparedness policies should focus on the unique mental health needs of these socially vulnerable groups.

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.

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.

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.

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.

Telehealth services can increase access to care by reducing barriers. Telephone-administered care, in particular, requires few resources and may be preferred by communities in areas that are systemically underserved. Understanding the effectiveness of audio-based care is important to combat the current mental health crisis and inform discussions related to reimbursement privileges.

We compared the effectiveness of audio-based care to usual care for managing mental health and substance use disorders (MHSUD).

We used systematic review methods to synthesize available evidence.

We searched for English-language articles reporting randomized controlled trials (RCTs) of adults diagnosed with MHSUD published since 2012.

We abstracted data on clinical outcomes, patient-reported health and quality of life, health care access and utilization, care quality and experience, and patient safety.

We included 31 RCTs of participants diagnosed with depression, post-traumatic stress disorder (PTSD), other serious mental illness (SMI), anxiety, insomnia, or substance use disorder (SUD). Most of the evidence was for interventions targeting depression, PTSD, and SUD. The evidence demonstrates promise for: (1) replacing in-person care with audio care for depression, other SMI, and SUD (very low to moderate certainty of comparable effectiveness); and (2) adding audio care to monitor or treat depression, PTSD, anxiety, insomnia, and SUD (low to moderate certainty of evidence favoring audio care for clinical outcomes).

MHSUD can be managed with audio care in certain situations. However, more evidence is needed across conditions, and specifically for anxiety and other conditions for which no research was identified.

Cognitive behavior therapy (CBT) is the gold-standard treatment for obsessive-compulsive disorder (OCD). However, access to CBT and specialized treatments is often limited. This pilot study describes the implementation of a guided Internet-Based CBT program (ICBT) for individuals seeking treatment for OCD in a psychiatric outpatient department in Leipzig, Germany, during the COVID-19 pandemic. The aim of the study was to investigate the acceptability, feasibility, and effectiveness of the ICBT program for OCD.

In an open, naturalistic pilot trial, N = 57 patients with OCD received a 10-week ICBT program (called "OCD-NET"). It consisted of 10 different modules covering psychoeducation, cognitive restructuring, exposure with response prevention, and overall therapist support and guidance through the program. The primary outcome was feasibility and acceptance of the OCD-NET program assessed via recruitment and retention rate, adherence and user satisfaction. Secondary outcomes were OCD symptoms at the end of treatment, assessed using the self-report Obsessive Compulsive Inventory - Revised (OCI-R) and self-rated measures of depressive symptoms, quality of life, self-efficacy, and psychological distress. Additionally, treatment credibility, working alliance, and satisfaction were assessed.

On average, participants completed 6.30 (SD = 3.21) modules, and n = 19 (33.9%) participants completed all 10 modules of the program. Overall, n = 45 (78.9%) were treatment completers (minimum 4 modules completed), n = 11 (19.3%) were non-completers, and n = 1 (1.8%) was a dropout. Satisfaction with the program was high, with a majority of participants indicating that they would recommend it to others (n = 56, 98.2%) and that it provided the support they needed (n = 49, 86.0%).Mixed-effect models showed a significant reduction in OCD symptoms (OCI-R), with large within-group effect sizes in both intention-to-treat (ITT) and completer analyses. In ITT analyses, the OCI-R decreased significantly with a within-group effect size of d = 1.13 (95% CI 0.88 - 1.38). At post-treatment, n = 17 (29.8%) participants showed a treatment response on the OCI-R (≥ 40% reduction). The treatment also resulted in statistically significant improvements in depressive symptoms (d = 0.90 [0.65; 1.15]) and self-efficacy (d = -0.27 [-0.53; -0.00]). No significant differences were observed in quality of life (WHOQOL-BREF) or psychological distress (Mini-SCL GSI) scores between baseline and post-treatment, in either the ITT or completer analyses.

The OCD-NET program is overall highly acceptable and appears to meet patients' needs in routine care, even under pandemic constraints. ICBT with therapist guidance significantly reduces OCD and depressive symptoms in real world settings. The results also suggest that this ICBT program could be integrated into routine psychiatric outpatient treatments. However, future research should investigate how upscaling and sustainable implementation could be effectively achieved.

German Clinical Trials register (DRKS): DRKS00021706, registration date: 15.05.2020.

The COVID-19 pandemic was associated with increased psychological distress and psychiatric service usage in Australia. Previous research into the first few months of the pandemic found severe inequality in telehealth psychiatry but no change in inequality for psychiatry service usage overall. However, it is unknown how inequality evolved over the remainder of the pandemic, as extended lockdowns continued in major Australian cities.

To understand how socioeconomic inequality in psychiatric consultations changed during the COVID-19 pandemic, using new data from 2020 to 2022.

We analysed routinely collected national Medicare data, provided to us as service counts per Statistical Area 3 (SA3) region by financial year from 2015 to 2016 to 2021 to 2022. We calculated daily rates of psychiatry attendances per 100,000 working age adults within each SA3 region, and we evaluated inequality in the distribution of consults using concentration indices and curves based on the Index of Relative Socio-economic Disadvantage (IRSD).

We analysed 7 years of Medicare data from 321 SA3 regions. The national consultation rate increased in 2020 to 2021 from 45.16 to 50.17, and then decreased slightly in 2021 to 22 to 48.65. Inequality as measured by concentration indices rose from 0.169 in 2020 to 2021 to 0.177 in 2021 to 2022. Consultation rates in the most disadvantaged IRSD quintile decreased by 15.9% in 2021 to 2022 compared to smaller decreases of between 1% and 4% in the top 4 quintiles.

Our study shows that inequality in mental health service provision increased in the second year of the COVID-19 pandemic to the highest level seen in the 7 years of data we analysed. Individuals within the most disadvantaged IRSD quintile experienced a significant and disproportionate decline in service rates. Close monitoring and more granular data are needed to understand the drivers behind this inequity and its current status, and to inform interventions to improve it.

The coronavirus disease 2019 (COVID-19) pandemic, in addition to increased mental health difficulties for society as a whole, brought unique challenges and opportunities to mental health professionals attempting to address the issues under public health limitations. Occupationally embedded mental health professionals were uniquely challenged in quickly and creatively adjusting to physical quarantining and working from home. The purpose of this study was to inquire about and categorize the experiences of embedded mental health professionals and their clients in U.S. Air Force (USAF) operational units.

We conducted a qualitative analysis of semi-structured interviews with 26 embedded mental health professionals across 24 USAF installations and 15 Airmen clients from 5 of those installations. Their experiences within the pandemic context were systemically categorized into actionable themes through thematic content analysis.

U.S. Air Force embedded mental health professionals and Airmen primarily identified the challenges of staying engaged when not face-to-face, higher incidence of mental health problems, decreased availability of clinical care and other support resources, technology as a face-to-face substitute, managing safety measures, delayed initiatives, and clinical boundary setting. Alternatively, embedded mental health professionals and Airmen identified strategies to alleviate pandemic limitations, such as using technology to interact, COVID-19 mitigating actions, developing initiatives to target their population needs, and using opportunities to help reduce stigma associated with seeking help for mental health.

Background: Audio-only (phone) telemental health care can increase access to care, but its lack of nonverbal information may negatively impact care quality as compared to video or in-person visits. The objective of this work was to understand patient and provider attitudes toward phone care via a review of qualitative research. Methods: A qualitative evidence synthesis was conducted of peer-reviewed qualitative research published between 2013 and 2023. Studies were required to include qualitative data regarding patient and/or provider attitudes toward audio-only telemental health care. Results pertinent to phone care were extracted and underwent coding followed by theme identification. Results: We identified 2,065 abstracts and 29 articles were ultimately included in the synthesis; 27 of these studies were conducted during the COVID-19 pandemic. Five themes described benefits of phone care, nine described drawbacks, and three themes were neutral. Phone care was seen as easy to use, particularly for briefer check-ins or as a back-up option if video calls failed, and some patients preferred the privacy of not being seen. However, the loss of visual information during phone visits was considered particularly challenging in the treatment of more complex or severe patients; providers questioned whether they were able to provide high quality care, and patients reported feeling less supported and understood by their providers. Conclusions: The relative benefits and drawbacks of audio-only telemental health care must be carefully weighed against the options of video or in-person treatment based on patient needs and severity. Future work should continue to examine patient and provider attitudes toward phone care as the mental health landscape evolves postpandemic.

Objective: Computerized assessment of cognitive functioning has gained significant popularity over recent years, yet options for clinical assessment of executive functioning (EF) are lacking. One computerized testing platform, CNS Vital Signs (CNS-VS), offers tests designed to measure EF but requires further validation. The goal of the present study was to validate CNS-VS executive scores against standard clinical measures of EF. We also sought to determine whether a modified CNS-VS composite score that included variables purported to measure inhibition, switching, and working memory would outperform the currently available CNS-VS Executive Function Index. Method: A sample of 73 cognitively healthy older adults completed four tests from the Delis-Kaplan Executive Function System, the Digit Span subtest from the Wechsler Adult Intelligence Scale-fourth edition, and three CNS-VS tasks purported to measure inhibition, switching, and working memory. Results: Performances on the CNS-VS tests were predicted by performances on standard paper-and-pencil measures. Although the currently available CNS-VS Executive Function Index predicted unique variance in a well-validated paper-and-pencil EF composite score, our Modified CNS-VS EF composite accounted for unique variance above and beyond the original CNS-VS Executive Function Index, while the reverse was not true. Conclusions: The present results support the construct validity of CNS-VS EF tests but also suggest that modifications to their current composite scores would improve the prediction of EF performance.

The COVID-19 pandemic has had profound implications for individuals' physical and mental health (MH), as well as well-being of populations worldwide. Several underlying issues which have a significant impact on MH, such as stress, worry, frustration, and uncertainty, were widespread during the COVID-19 pandemic. One of the common measures resorted to was to provide MH services to the population using information technology. This study shares the experience of tele-counseling services for patients with COVID-19 living in the hospital and in-home isolation during the pandemic phase of COVID-19 in the Dharwad district of Karnataka, a southern state in India.

A mixed approach was used, which included 300 participants affected by COVID-19 and 3 case studies. The information was collected using a structured interviewer-administered questionnaire and case study methods.

The mean age of the COVID patients was 40.72 ± 14.61 years. More than half of the COVID patients (51%) received treatment at hospital. Seventy-nine percent of callers received only single counseling session. The main tele-counseling services provided included supportive counseling (44%), sleep hygienic techniques (9%), general information on COVID (15%), problem-solving techniques (1.3%), relaxation techniques (5.7%), mindful mediation (2%), grief counseling (3.3%), family counseling (1.7%), and stress management (2.7%).

Tele-counseling services during an emergency like the COVID-19 pandemic can help in promoting MH and well-being of people affected by the pandemic. It is possible to provide such psychological first aid using information technology.

The COVID-19 pandemic prompted a significant shift to delivering early psychosis services using telehealth. Little is known about the experience of using telehealth in early psychosis services. This quality improvement qualitative project investigated the experiences of program participants and family members with telehealth services in OnTrackNY, an early intervention program for psychosis in New York State during the COVID-19 pandemic.

The project team conducted individual interviews and focus groups. Data analyses used a matrix approach.

Nineteen OnTrackNY program participants and nine family members participated in five focus groups and nine individual interviews. Data were organized into five themes (a) accessibility: most individuals had a device and internet access and challenges were related to connectivity, such as image freezing and sound breaking; (b) convenience/flexibility: benefits included the reduced commute and costs; (c) levels of comfort/privacy with telehealth: program participants felt less judged and less anxiety leading up to in-person appointments while also expressing privacy concerns; (d) sense of connectedness: in-person social connections were deemed important and not replaceable by telehealth; and (e) suggestions: program participants expressed a preference for in-person group activities and suggested hybrid options, highlighting the importance of in-person visits to establish rapport at the beginning of treatment before transitioning to telehealth.

Telehealth services were generally well accepted. Suggestions for future service delivery include offering a combination of telehealth and in-person services based on program participants' preferences and prioritizing in-person services during the early phase of treatment.

The health of children, adolescents, and young adults is a primary global concern. In 2021, there were 2.1 million deaths among children and adolescents. Injuries, violence, communicable diseases, nutritional deficiencies, substance use, non-communicable diseases, and mental health disorders are among the leading causes of death in this age group. Background/objectives: This scoping review aims to identify and describe health promotion and healthy lifestyle programs developed worldwide targeting adolescents and young adults. Methods: A total of 106 programs were included, of which 8 were selected through scientific databases and 98 through other research methods (e.g., government websites and other online sources). Results: The results show that Europe, North America, New Zealand, and the United States of America are the continents and countries with the highest number of programs. Most programs originated before 2020 and are aimed at children, adolescents, and young adults. Mental health, substance and non-substance dependencies, and sexual and reproductive health were the most frequent areas among the available youth programs. Most programs do not mention evaluating or monitoring the services provided. Conclusions: This work allows for a deeper understanding of the programs available for adolescents and young adults, providing an overview of their characteristics. Moreover, it emphasizes the importance of increasing the number of available programs, especially in countries with higher morbidity and mortality rates among the young population. The programs must be based on population studies to better meet their needs. Lastly, programs should become sustainable and integrated into national public policies, accompanied by ongoing training, supervision, and intervision of professionals working in these contexts.

Cognitive Behavioural Therapy (CBT) has been proven to be effective for anxiety and depression in children and young people (CYP). Over the past 20 years there have been several attempts at delivering CBT through apps, online software, videogames, but also with a therapist via phone or videoconferencing platforms, with promising results for the "technology-assisted" versions. However, most research, have compared online CBT to waiting lists, and not many studies looked at the effectiveness of face-to-face (f2f) CBT versus technology-assisted CBT.

Adopting the PRISMA guidelines, we evaluated 1849 citations and identified 10 eligible studies. Studies were identified through the Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycINFO, PubMed/MEDLINE, Web of Science, and Scopus.

Ten studies met our inclusion criteria. The studies included a variety of technology-assisted forms of CBT, including videoconferencing and online CBT. Of these, seven looked at the effectiveness of technology-assisted CBT for anxiety in CYP, and seven looked at depression. The meta-analyses had low heterogeneity and showed that technology-assisted CBT was non-inferior to f2f CBT for anxiety and depression in CYP (d = 0.06 and 0.12 respectively).

Technology-assisted CBT may be a valid alternative for the treatment of anxiety and depression in CYP. Future studies should consider what specific delivery modalities are most cost-effective.

To evaluate whether an integrated mental health video consultation approach (PROVIDE model) can improve symptoms compared with usual care in adults with depression and anxiety disorders attending primary care.

Assessor masked, multicentre, randomised controlled trial (PROVIDE-C).

In 29 primary care practices in Germany, working remotely online from one trial hub.

376 adults (18-81 years) who presented to their general practitioner (GP) with depression or anxiety, or both.

Participants were randomised (1:1) to receive the PROVIDE model (n=187) or usual care (n=189). Usual care was provided by GPs through interventions such as brief counselling and psychotropic medication prescriptions and may or may not have included referrals to mental health specialists. The PROVIDE model comprised transdiagnostic treatment provided through five real-time video sessions between the patient at the primary care practice and a mental health specialist at an offsite location.

The primary outcome was the absolute change in the mean severity of depressive and anxiety symptoms measured using the patient health questionnaire anxiety and depression scale (PHQ-ADS) at six months, in the intention-to-treat population. Secondary outcomes, measured at six and 12 months, included PHQ-ADS subscores, psychological distress related to somatic symptoms, recovery, health related quality of life, quality and patient centredness of chronic illness care, and adverse events.

Between 24 March 2020 and 23 November 2021, 376 patients were randomised into treatment groups. Mean age was 45 years (standard deviation (SD) 14), 63% of the participants were female, and mean PHQ-ADS-score was 26 points (SD 7.6). Compared with usual care, the PROVIDE intervention led to improvements in severity of depressive and anxiety symptom (adjusted mean change difference in the PHQ-ADS score -2.4 points (95% confidence interval -4.5 to -0.4), P=0.02) at six months. The effects were sustained at 12 months (-2.9 (-5.0 to -0.7), P<0.01). No serious adverse events were reported in either group.

Through relatively low intensity treatment, the PROVIDE model led to a decrease in depressive and anxiety symptoms with small effects in the short and long term. Depression and anxiety disorders are prevalent and therefore the small effect might cumulatively impact on population health in this population.

ClinicalTrials.gov NCT04316572.

Children and youth from lower subjective socioeconomic status (SES) backgrounds are at a heightened risk of mental disorders. Online counseling is a valuable tool to reach those less likely to seek professional help, but its success across different SES backgrounds remains unclear. This study explores the association between subjective SES and online counseling outcomes. Children and youth (N = 2139) between 10 and 24 years-of-age received chat-based online counseling and reported on SES, negative feelings before and after the chat, and perceived helpfulness of the chat via an online assessment tool. The results of a latent change score model showed a significant association between SES and negative feelings before chatting, indicating that lower SES predicted more negative feelings (r = -0.26, p < .001). Further, SES was indirectly associated with the change in negative feelings from before to after counseling, mediated by the extent of negative feelings before the chat (β = 0.07, 95%CFI = [0.05-0.10]). Current findings extend research on online counseling programs in the context of SES. Despite higher counseling needs among low SES individuals, they do not benefit proportionally from existing online services in this sample. Future research should investigate barriers to help-seeking and implement specialized counselor training programs.

During the COVID-19 pandemic, youth had rising mental health needs and changes in service accessibility. Our study investigated changes in use of mental health care services for Canadian youth in Alberta before and during the COVID-19 pandemic. We also investigated how youth utilization patterns differed for subgroups based on social factors (i.e., age, gender, socioeconomic status, and geography) previously associated with health care access.

We used cross-sectional population-based data from Alberta, Canada to understand youth (15-24 year) mental health care use from 2018/19 to 2021/22. We performed interrupted time series design, segmented regression modeling on type of mental health care use (i.e., general physician, psychiatrist, emergency room, and hospitalization) and diagnosis-related use. We also investigated the characteristics of youth who utilized mental health care services and stratified diagnosis-related use patterns by youth subgroups.

The proportion of youth using mental health care significantly increased from 15.6% in 2018/19 to 18.8% in 2021/22. Mental health care use showed an immediate drop in April 2020 when the COVID-19 pandemic was declared and public health protections were instituted, followed by a steady rise during the next 2 years. An increase was significant for general physician and psychiatrist visits. Most individual diagnoses included in this study showed significant increasing trends during the pandemic (i.e., anxiety, adjustment, ADHD, schizophrenia, and self-harm), with substance use showing an overall decrease. Mortality rates greatly increased for youth being seen for mental health reasons from 71 per 100,000 youth in 2018/19 to 163 per 100,000 in 2021/22. In addition, there were clear shifts over time in the characteristics of youth using mental health care services. Specifically, there was increased utilization for women/girls compared to men/boys and for youth from wealthier neighborhoods. Increases over time in the utilization of services for self-harm were limited to younger youth (15-16 year).

The study provides evidence of shifts in mental health care use during the COVID-19 pandemic. Findings can be used to plan for ongoing mental health needs of youth, future pandemic responses, and other public health emergencies.

Adverse events (AEs) are commonly reported in clinical studies using the Medical Dictionary for Regulatory Activities (MedDRA), an international standard for drug safety monitoring. However, the technical language of MedDRA makes it challenging for patients and clinicians to share understanding and therefore to make shared decisions about medical interventions. In this project, people with lived experience of depression and antidepressant treatment worked with clinicians and researchers to co-design an online dictionary of AEs associated with antidepressants, taking into account its ease of use and applicability to real-world settings.

Through a pre-defined literature search, we identified MedDRA-coded AEs from randomised controlled trials of antidepressants used in the treatment of depression. In collaboration with the McPin Foundation, four co-design workshops with a lived experience advisory panel (LEAP) and one independent focus group (FG) were conducted to produce user-friendly translations of AE terms. Guiding principles for translation were co-designed with McPin/LEAP members and defined before the finalisation of Clinical Codes (CCs, or non-technical terms to represent specific AE concepts). FG results were thematically analysed using the Framework Method.

Starting from 522 trials identified by the search, 736 MedDRA-coded AE terms were translated into 187 CCs, which balanced key factors identified as important to the LEAP and FG (namely, breadth, specificity, generalisability, patient-understandability and acceptability). Work with the LEAP showed that a user-friendly language of AEs should aim to mitigate stigma, acknowledge the multiple levels of comprehension in 'lay' language and balance the need for semantic accuracy with user-friendliness. Guided by these principles, an online dictionary of AEs was co-designed and made freely available ( https://thesymptomglossary.com ). The digital tool was perceived by the LEAP and FG as a resource which could feasibly improve antidepressant treatment by facilitating the accurate, meaningful expression of preferences about potential harms through a shared decision-making process.

This dictionary was developed in English around AEs from antidepressants in depression but it can be adapted to different languages and cultural contexts, and can also become a model for other interventions and disorders (i.e., antipsychotics in schizophrenia). Co-designed digital resources may improve the patient experience by helping to deliver personalised information on potential benefits and harms in an evidence-based, preference-sensitive way.

Virtual reality (VR) is an emerging technology that can enhance experiences and outcomes in mental healthcare. However, mental health therapists have been slow to adopt VR into practice. Implementation of telehealth-based VR therapy (tele-VR) could catalyze adoption and innovation in mental healthcare. To explore therapists' perspectives on tele-VR, we conducted a cross-sectional survey of practicing mental health providers in the United States in June-July 2023. We analyzed 176 completed surveys from therapists, of whom 51.14% had no prior experience with VR, only 6.25% had used VR clinically, and 56.82% had neutral impressions of VR for therapy. Despite therapists' general inexperience with VR, therapists indicated a wide variety of tele-VR simulations (e.g., social situations, flying, heights) and features (e.g., personalized spaces, homework, interactivity) would be moderately to extremely useful for their practices. Therapists also requested additional VR simulations and features for their telehealth clients such as behavioral skills training, exposure therapy, gender identity therapy, and psychological assessments in VR. Therapists rated Health Insurance Portability and Accountability Act compliance, the ability to try VR before buying, affordability for therapists, accessibility for clients, and insurance coverage as the five most influential implementation factors for tele-VR. Overall, therapists were generally inexperienced and neutral about VR for telehealth therapy, but were interested in tele-VR for specific applications. These findings provide actionable directions for future research and collaborative development of therapeutic VR content and features.

Objective: To examine burnout and perspectives on videoconferencing over time for the mental health workforce. Methods: Members of an academic psychiatry department completed two anonymous surveys about virtual work and burnout 18 months apart (T1n = 274, response rate = 66.8%; T2n = 227, response rate = 36.7%). A subset completed the burnout subscale of the Stanford Professional Fulfillment Index (T1n = 145; T2n = 127). Results: Respondents were well satisfied with videoconferencing at both time points and satisfaction was higher at T2. Videoconferencing was not perceived to contribute to feelings of fatigue at either time point and burnout levels decreased from T1 to T2. Conclusions: Videoconferencing is well received by the mental health workforce and is not widely perceived to contribute to feelings of fatigue. Longer use of videoconferencing coincided with decreased levels of burnout. There are likely benefits to virtual work for the mental health workforce and virtual work may be protective from burnout.

To characterize provider types delivering outpatient care overall and through telehealth to U.S. adults with ADHD.

Using employer-sponsored insurance (ESI) and Medicaid claims, we identified enrollees aged 18 to 64 years who received outpatient care for ADHD in 2021. Billing provider codes were used to tabulate the percentage of enrollees receiving ADHD care from 10 provider types overall and through telehealth.

Family practice physicians, psychiatrists, and nurse practitioners/psychiatric nurses were the most common providers for adults with ESI, although the distribution of provider types varied across states. Lower percentages of adults with Medicaid received ADHD care from physicians. Approximately half of adults receiving outpatient ADHD care received ADHD care by telehealth.

Results may inform the development of clinical guidelines for adult ADHD and identify audiences for guideline dissemination and education planning.

Digital approaches may be helpful in augmenting care to address unmet mental health needs, particularly for schizophrenia and severe mental illness (SMI).

An international multidisciplinary group was convened to reach a consensus on the challenges and potential solutions regarding collecting data, delivering treatment, and the ethical challenges in digital mental health approaches for schizophrenia and SMI.

The consensus development panel method was used, with an in-person meeting of 2 groups: the expert group and the panel. Membership was multidisciplinary including those with lived experience, with equal participation at all stages and coproduction of the consensus outputs and summary. Relevant literature was shared in advance of the meeting, and a systematic search of the recent literature on digital mental health interventions for schizophrenia and psychosis was completed to ensure that the panel was informed before the meeting with the expert group.

Four broad areas of challenge and proposed solutions were identified: (1) user involvement for real coproduction; (2) new approaches to methodology in digital mental health, including agreed standards, data sharing, measuring harms, prevention strategies, and mechanistic research; (3) regulation and funding issues; and (4) implementation in real-world settings (including multidisciplinary collaboration, training, augmenting existing service provision, and social and population-focused approaches). Examples are provided with more detail on human-centered research design, lived experience perspectives, and biomedical ethics in digital mental health approaches for SMI.

The group agreed by consensus on a number of recommendations: (1) a new and improved approach to digital mental health research (with agreed reporting standards, data sharing, and shared protocols), (2) equal emphasis on social and population research as well as biological and psychological approaches, (3) meaningful collaborations across varied disciplines that have previously not worked closely together, (4) increased focus on the business model and product with planning and new funding structures across the whole development pathway, (5) increased focus and reporting on ethical issues and potential harms, and (6) organizational changes to allow for true communication and coproduction with those with lived experience of SMI. This study approach, combining an international expert meeting with patient and public involvement and engagement throughout the process, consensus methodology, discussion, and publication, is a helpful way to identify directions for future research and clinical implementation in rapidly evolving areas and can be combined with measurements of real-world clinical impact over time. Similar initiatives will be helpful in other areas of digital mental health and similarly fast-evolving fields to focus research and organizational change and effect improved real-world clinical implementation.

Community-based Mental Health (MH) organisations in the United Kingdom (UK) are facing challenges for sustaining in-person service delivery. Without empirical evidence that demonstrates the value of a place-based approach for MH recovery, and the types of resources needed to build nurturing spaces for peer support, community-based MH organisations will struggle to maintain their physical spaces. We present empirical insights from a case study involving interviews with 20 students accessing peer support services at the Recovery College Collective, a community-based MH organisation located in the North East of England. The interview study aims to evidence how a place-based approach can afford MH recovery. We draw from discourses on place-making and interpret our interview findings through an established framework that highlights four mechanisms through which place impacts recovery: place for doing, being, becoming and belonging. We use this framework to structure our findings and highlight key qualities of place for establishing and maintaining MH recovery. Our contribution is two-fold: we address a gap in the literature by providing empirical understandings of how place influences MH recovery, whilst extending previous research by considering the role that place plays in community-based organisations. This is timely because of the challenges faced in securing in-person service delivery post-pandemic, and a shift towards remote service provision models. We highlight key implications: (i) Accessing a physical place dedicated to MH support is vital for people who do not have anywhere else to go and are socially isolated due to their health conditions; (ii) Connecting through peer-to-peer interaction is an integral part of the recovery process, and learning from people with lived experience can inform a place-based approach that best suit their needs; and (iii) Recognising the value of place for MH support, and the resources needed for peer support delivery in the community, will help secure places that our research participants described as lifesaving.

This study aims to compare emergency department (ED) utilization and admission rates for patients with a history of mental health (MH) disorders, substance use disorders (SUDs), and social determinants of health (SDOH) before and after implementing COVID-19 shelter-in-place (SIP) orders.

This was a retrospective, multicenter study leveraging electronic medical record (EMR) data from 20 EDs across a large Midwest integrated healthcare system from 5/2/2019 to 12/31/2019 (pre-SIP) and from 5/2/2020 to 12/31/2020 (post-SIP). Diagnoses were documented in the patient's medical records. Poisson and logistic regression models were used to evaluate ED utilization and admission rate changes.

A total of 871,020 ED encounters from 487,028 unique patients were captured. Overall, 2,572 (0.53%) patients had a documented Z code for SDOH. Patients with previously diagnosed MH disorders or SUDs were more likely to seek ED care after the SIP orders were implemented (risk ratio (RR): 1.20, 95% confidence interval (CI): 1.18-1.22, p<0.001), as were patients with SDOH (RR: 2.37, 95% CI: 2.19-2.55, p<0.001). Patients with both previously diagnosed MH disorders or SUDs and a documented SDOH had even higher ED utilization (RR: 3.31, 95% CI: 2.83-3.88, p<0.001) than those with either condition alone. Patients with MH disorders and SUDs (OR: 0.89, 95% CI: 0.86-0.92, p<0.001) or SDOH (OR: 0.67, 95% CI: 0.54-0.83, p<0.001) were less likely to be admitted post-SIP orders, while patients with a history of diseases of physiologic systems were more likely to be admitted.

Vulnerable populations with a history of MH disorders, SUDs, and SDOH experienced increased ED utilization but a lower rate of hospital admissions after the implementation of SIP orders. The findings highlight the importance of addressing these needs to mitigate the impact of public health crises on these populations.

Psychotherapists need effective tools to monitor changes in the patient's affective perception of the therapist and the therapeutic relationship during sessions to tailor therapeutic interventions and improve treatment outcomes. This study aims to evaluate the factor structure, reliability, and validity of the in-Session Patient Affective Reactions Questionnaire (SPARQ), a concise self-report measure designed for practical application in real-world psychotherapy settings.

Validation data was gathered from (N = 700) adult patients in individual psychotherapy. These patients completed the SPARQ in conjunction with additional measures capturing sociodemographic details, characteristics of therapeutic interventions, individual personality traits, mental health symptom severity, elements of the therapeutic relationship, and session outcomes. This comprehensive approach was employed to assess the construct and criterion-related validity of the SPARQ.

The SPARQ has a two-factor structure: Positive Affect (k = 4, ω total = .87) and Negative Affect (k = 4, ω total = .75). Bifactor confirmatory factor analysis (CFA) yielded the following fit indices: X2[df] = 2.53, CFI = .99; TLI = .98; RMSEA = .05; and SRMR = .02. Multi-group CFAs demonstrated measurement invariance (i) across patients who attended psychotherapy sessions in person versus in remote mode, and (ii) across patients with and without psychiatric diagnoses confirmed metric invariance. Furthermore, the SPARQ showed meaningful correlations with concurrently administered measures.

The SPARQ proves to be a valuable instrument in clinical, training, and research contexts, adept at capturing patients' session-level affective responses towards their therapist and perceptions of the therapeutic alliance. Comprehensive descriptive statistics and a range of score precision indices have been reported, intended to serve as benchmarks for future research.

The COVID-19 pandemic impacted mental health disorders, affecting both individuals with pre-existing conditions and those with no prior history. However, there is limited evidence regarding the pandemic's impact on mental health visits to primary care physicians. The International Consortium of Primary Care Big Data Researchers (INTRePID) explored primary care visit trends related to mental health conditions in Argentina, Australia, Canada, China, Norway, Peru, Singapore, Sweden, and the USA.

We conducted an interrupted time series analysis in nine countries to examine changes in rates of monthly mental health visits to primary care settings from January 1st, 2018, to December 31st, 2021. Sub-group analysis considered service type (in-person/virtual) and six categories of mental health conditions (anxiety/depression, bipolar/schizophrenia/other psychotic disorders, sleep disorders, dementia, ADHD/eating disorders, and substance use disorder).

Mental health visit rates increased after the onset of the pandemic in most countries. In Argentina, Canada, China, Norway, Peru, and Singapore, this increase was immediate ranged from an incidence rate ratio of 1·118 [95% CI 1.053-1.187] to 2.240 [95% CI 2.057-2.439] when comparing the first month of pandemic with the pre-pandemic trend. Increases in the following months varied across countries. Anxiety/depression was the leading reason for mental health visits in most countries. Virtual visits were reported in Australia, Canada, Norway, Peru, Sweden, and the USA, accounting for up to 40% of the total mental health visits.

Findings suggest an overall increase in mental health visits, driven largely by anxiety/depression. During the COVID-19 pandemic, many of the studied countries adopted virtual care in particular for mental health visits. Primary care plays a crucial role in addressing mental ill-health in times of crisis.

Canadian Institutes of Health Research grant #173094 and the Rathlyn Foundation Primary Care EMR Research and Discovery Fund.

We aimed to characterize the COVID-19 pandemic's relationship with enrollment in US Alzheimer's Disease Research Centers (ADRCs).

Using data on 10,105 participants from 30 ADRCs, we conducted interrupted time series analyses to assess the relationship of the pandemic with enrollment and calculate projected dates of enrollment recovery.

Participants enrolled during the pandemic (vs pre-pandemic) were more likely to have dementia and be referred by health professionals. The pandemic was associated with a 77% drop in enrollment, with projected trend recovery in March 2024 and 100% recovery in September 2024. COVID was associated with a 91% drop in Black/African American participants, compared to 71% in White participants. Enrollment of both Hispanic and female participants was declining 1.4% and 0.3%/month pre-pandemic.

Funders and researchers should account for ongoing COVID-19 impact on ADRD research enrollment. Strategies to speed enrollment recovery are needed, especially for Black/African American and Hispanic groups.

Tested COVID pandemic association with enrollment at Alzheimer's Disease Research Centers. During versus pre-pandemic enrollees differed on demographic and clinical variables. Interrupted time series analyses: immediate 77% drop in enrollment related to COVID. Recovery projections: trend recovery in March 2024, 100% recovery in September 2024. Enrollment of African American and Hispanic participants should be prioritized.

Live two-way video, easily accessible from home via smartphones and other devices, is becoming a new way of providing psychiatric treatment. However, lack of evidence for real-world clinical setting effectiveness hampers its approval by medical insurance in some countries. Here, we conducted the first large-scale pragmatic, randomized controlled trial to determine the effectiveness of long-term treatment for multiple psychiatric disorders via two-way video using smartphones and other devices, which are currently the primary means of telecommunication.

This randomized controlled trial compared two-way video versus face-to-face treatment for depressive disorder, anxiety disorder, and obsessive-compulsive disorder in the subacute/maintenance phase during a 24-week period. Adult patients with the above-mentioned disorders were allocated to either a two-way video group (≥50% video sessions) or a face-to-face group (100% in-person sessions) and received standard treatment covered by public medical insurance. The primary outcome was the 36-Item Short-Form Health Survey Mental Component Summary (SF-36 MCS) score. Secondary outcomes included all-cause discontinuation, working alliance, adverse events, and the severity rating scales for each disorder.

A total of 199 patients participated in this study. After 24 weeks of treatment, two-way video treatment was found to be noninferior to face-to-face treatment regarding SF-36 MCS score (48.50 vs 46.68, respectively; p < 0.001). There were no significant differences between the groups regarding most secondary end points, including all-cause discontinuation, treatment efficacy, and satisfaction.

Two-way video treatment using smartphones and other devices, was noninferior to face-to-face treatment in real-world clinical settings. Modern telemedicine, easily accessible from home, can be used as a form of health care.

While literature is abundant on the negative mental health impact of the COVID-19 outbreak, few studies focus on the Central and Eastern European region.

We examined stress, burnout, and sleeping troubles among mental health professionals in the context of psychosocial risk factors related to participation in COVID care during the fourth and fifth waves.

Mental health professionals (N=268) completed an online cross-sectional survey in Hungary, between November 2021 and April 2022. Of the respondents, 58.2% directly participated in COVID care. The main data collection instrument was the Copenhagen Psychosocial Questionnaire (COPSOQ II), including 20 subscales on work-related psychosocial factors and 3 outcome scales (stress, burnout, and sleeping troubles). We added a question on competence transgression, and items on sociodemographic and professional background.

Participation in COVID care was associated with higher work pace (59.08 versus 49.78), more role conflicts (55.21 versus 45.93), lower scores on the influence at work (38.18 versus 51.79), predictability (44.71 versus 57.03), reward (55.82 versus 65.03), role clarity (70.19 versus 75.37), social support from supervisor (59.24 versus 65.55), job satisfaction (54.36 versus 62.84), trust regarding management (55.89 versus 67.86), justice and respect (44.51 versus 54.35) scales. Among those involved in COVID care, only the stress score was higher (47.96 vs. 42.35) in the total sample; however, among psychiatrists, both stress (52.16 vs. 38.60) and burnout scores (58.30 vs. 47.06) were higher. Stepwise multiple regression revealed that work-family conflict, emotional demands and workplace commitment were independent predictors of higher stress and burnout scores; furthermore, competence transgression had a significant effect on stress, and being a psychiatric specialist had a significant effect on burnout. These models explained 40.5% of the variance for stress and 39.8% for burnout.

During the fourth and fifth waves, although COVID care was more well-organized, psychiatrists, as specialist physicians responsible for the quality of the care, were still experiencing challenges regarding their competence and influence at work, which may explain their increased levels of stress and burnout.

Low- and middle-income countries (LMICs) bear the greater share of the global mental health burden but are ill-equipped to deal with it because of severe resource constraints leading to a large treatment gap. The remote provision of mental health services by digital means can effectively augment conventional services in LMICs to reduce the treatment gap. Digital psychiatry in LMICs has always lagged behind high-income countries, but there have been encouraging developments in the last decade. There is increasing research on the efficacy of digital psychiatric interventions. However, the evidence is not adequate to conclude that digital psychiatric interventions are invariably effective in LMICs. A striking development has been the rise in mobile and smartphone ownership in LMICs, which has driven the increasing use of mobile technologies to deliver mental health services. An innovative use of mobile technologies has been to optimize task-shifting, which involves delivering mental healthcare services in community settings using non-specialist health professionals. Emerging evidence from LMICs shows that it is possible to use digital tools to train non-specialist workers effectively and ensure that the psychosocial interventions they deliver are efficacious. Despite these promising developments, many barriers such as service costs, underdeveloped infrastructure, lack of trained professionals, and significant disparities in access to digital services impede the progress of digital psychiatry in LMICs. To overcome these barriers, digital psychiatric services in LMICs should address contextual factors influencing the delivery of digital services, ensure collaboration between different stakeholders, and focus on reducing the digital divide.