Digital Mental Health Interventions for Depression, Anxiety, and Enhancement of Psychological Well-Being Among College Students: Systematic Review

A randomized controlled trial on using predictive algorithm to adapt level of psychological care for community college students: STAND triaging and adapting to level of care study protocol

BACKGROUND

There is growing interest in using personalized mental health care to treat disorders like depression and anxiety to improve treatment engagement and efficacy. This randomized controlled trial will compare a traditional symptom severity decision-making algorithm to a novel multivariate decision-making algorithm for triage to and adaptation of mental health care. The stratified levels of care include a self-guided online wellness program, coach-guided online cognitive behavioral therapy, and clinician-delivered psychotherapy with or without pharmacotherapy. The novel multivariate algorithm will be comprised of baseline (for triage and adaptation) and time-varying variables (for adaptation) in four areas: social determinants of mental health, early adversity and life stressors, predisposing, enabling, and need influences on health service use, and comprehensive mental health status. The overarching goal is to evaluate whether the multivariate algorithm improves adherence to treatment, symptoms, and functioning above and beyond the symptom-based algorithm.

METHODS/DESIGN

This trial will recruit a total of 1000 participants over the course of 5 years in the greater Los Angeles Metropolitan Area. Participants will be recruited from a highly diverse sample of community college students. For the symptom severity approach, initial triaging to level of care will be based on symptom severity, whereas for the multivariate approach, the triaging will be based on a comprehensive set of baseline measures. After the initial triaging, level of care will be adapted throughout the duration of the treatment, utilizing either symptom severity or multivariate statistical approaches. Participants will complete computerized assessments and self-report questionnaires at baseline and up to 40 weeks. The multivariate decision-making algorithm will be updated annually to improve predictive outcomes.

DISCUSSION

Results will provide a comparison on the traditional symptom severity decision-making and the novel multivariate decision-making with respect to treatment adherence, symptom improvement, and functional recovery. Moreover, the developed multivariate decision-making algorithms may be used as a template in other community college settings. Ultimately, findings will inform the practice of level of care triage and adaptation in psychological treatments, as well as the use of personalized mental health care broadly.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05591937, submitted August 2022, published October 2022.

Enhancing Student Wellbeing Through Social Prescribing: A Rapid Realist Review

Objectives: A Rapid Realist Review of social prescribing in Higher Education (HE) was undertaken to determine what works, for whom, how, why, and within what circumstances. The review resulted in the development of a Realist Programme Theory articulating the way in which social prescribing can be implemented within the HE environment. Methods: Searches of 12 electronic databases were supplemented by citation chaining and grey literature surfaced by the Project Advisory Group. The RAMESES Quality Standards for Realist Review were followed, and the retrieved articles were systematically screened and iteratively analysed to develop Context-Mechanism-Outcome Configurations (CMOCs) and an overarching Realist Programme Theory. Results: A total of 57 documents were included. The overarching programme theory was developed from the analysis of these documents and comprised of a social prescribing pathway with the following components: (1) An Accessible Gateway, (2) A Skilled Peer, (3) Trusted-Safe-Credible Resources, and (4) A Healthy Setting. Conclusion: A Realist Programme Theory was developed-this model and associated principles will provide a theoretical basis for the implementation of social prescribing pathways within higher education. Whilst the direct project outputs are of particular significance to the UK HE audience, the underpinning principles can support practice within the global arena.

An interactive video increasing French students' mental health literacy: a mixed-methods randomized controlled pilot study

Mental health literacy (MHL) is a determinant of psychological well-being in young people. A randomized controlled design was used to evaluate the appreciation and effectiveness of an interactive video on French University students' MHL (knowledge about depression and suicidal behavior, mental health help-seeking behaviors, stigma and misconceptions about mental health). At the baseline, all participants (n = 101) completed a questionnaire including several scales on MHL. One month after, participants were randomly assigned to two homogeneous groups (intervention, n = 50 or control, n = 51) and again completed the questionnaire on MHL. Through a mixed-methods approach, semi-structured interviews were also conducted with the intervention group to collect information on the appreciation of the interactive video. Quantitative data indicated that MHL scores increased or remained stable in the intervention group. Comparison with the control group and multivariate logistic regression models did not show statistically significant differences, due to the small sample of the study. According to qualitative data, users appreciated the content and the format of the intervention. It was suggested that the video could be disseminated in other University campuses in France and internationally to promote MHL among students.

A Novel and Integrated Digitally Supported System of Care for Depression and Anxiety: Findings From an Open Trial

BACKGROUND

The global burden of anxiety and depression has created an urgent need for scalable approaches to increase access to evidence-based mental health care. The Screening and Treatment for Anxiety and Depression (STAND) system of care was developed to meet this need through the use of internet-connected devices for assessment and provision of treatment. STAND triages to level of care (monitoring only, digital therapy with coaches, digital therapy assisted by clinicians in training, and clinical care) and then continuously monitors symptoms to adapt level of care. Triaging and adaptation are based on symptom severity and suicide risk scores obtained from computerized adaptive testing administered remotely.

OBJECTIVE

This article discusses how the STAND system of care improves upon current clinical paradigms, and presents preliminary data on feasibility, acceptability, and effectiveness of STAND in a sample of US-based university students.

METHODS

US-based university students were recruited and enrolled in an open trial of the STAND system of care. Participants were triaged based on initial symptom severity derived from a computerized adaptive test and monitored over 40 weeks on anxiety, depression, and suicide risk to inform treatment adaptation and evaluate preliminary effectiveness.

RESULTS

Nearly 5000 students were screened and 516 received care. Depression and anxiety severity scores improved across all tiers (P<.001 in all cases). Suicide risk severity improved in the highest tier (ie, clinical care; P<.001). Acceptability and feasibility were demonstrated.

CONCLUSIONS

STAND is a feasible and acceptable model of care that can reach large numbers of individuals. STAND showed preliminary effectiveness on all primary outcome measures. Current directions to improve STAND are described.

Mental distress and well-being of university students amid COVID-19 pandemic: findings from an online integrative intervention for psychology trainees

Introduction

University students have been severely affected by the COVID-19 pandemic, as significant changes supervened their academic and social life. To tackle these challenges, several adjustments in the educational methods may be warranted for cultivating a positive environment at higher education institutions. The aim of this study was to investigate the risk and protective factors of students' mental health and well-being as well as their potential for flourishing in an undergraduate clinical psychology course that took place online due to the COVID-19 restrictive measures and incorporated positive psychology exercises as a means to empower young people amid the adverse conditions of the lockdown.

Methods

In total, 124 students attended the course and completed mental health (i.e., DASS-9, HADS, ERQ) and well-being (i.e., MHC-SF, SWLS, PANAS, GQ-6, BRS) measures at two time points (pre-and-post-test), during the first restrictions in Greece (March-June 2020).

Results

According to the results, students aged 18-20 years old reported higher levels of stress [χ2 = 14.72, p = 0.002], while students who felt that the quality of their studies had deteriorated [χ2 = 6.57, p = 0.038] reported increased levels of anxiety. High levels of depression were correlated with worse relationships with significant others (z = 7.02, p = 0.030 and χ2 = 11.39, p = 0.003 for family and friends, respectively), while gratitude and resilience were positively correlated with improved relationships with others, both during and after the lockdown. Factors associated with students' well-being were satisfaction with life and gratitude.

Discussion

These results suggest that well-being enhancement factors may have added value to current educational practices for promoting students' mental health and well-being in times of crisis.

Positive psychology psychoeducation makes a small impact on undergraduate student mental health: Further curriculum innovation and better well-being research needed

OBJECTIVES

Courses on well-being are increasingly evaluated to see how they may promote mental health in college. We examined the impact of a course on students' well-being, anxiety, and depression.

METHODS

Subjects were undergraduates enrolled in the "Science of Happiness," (SOH) (n = 105), and "Child and Adolescent Psychopathology," (CAP) (n = 114). Well-being measures included the PERMA Profiler and Satisfaction with Life Scale (SWLS) at the beginning and conclusion of the semester. The Depression Anxiety and Stress Scale - 21 items (DASS-21) measured psychopathology.

RESULTS

There were significant improvements on the SWLS 1.28 (p = .038; d = .264) in SOH. There was no improvement for the PERMA Profiler in either group, and no differences between groups. There was no significant change on the DASS-21 for SOH subjects.

CONCLUSIONS

Undergraduate courses that deliver positive psychology psychoeducation have a small effect size even in non-randomized studies. Future curriculum innovation is needed and better research to validate positive psychology psychoeducation.

Digital interventions empowering mental health reconstruction among students after the COVID-19 pandemic

With the gradual end of the coronavirus disease 2019 (COVID-19) pandemic, the reconstruction of students’ mental health is urgently necessary. Digital interventions offer advantages such as high accessibility, anonymity, and accurate identification, which can promote the reconstruction of students’ mental health through the provision of psychological support platforms, psychological assessment tools, and online mental health activities. However, we recognize that digital interventions must undergo many adjustments, and corresponding ethical norms require further clarification. It is crucial for different stakeholders to collaborate and work toward maximizing the effectiveness of digital interventions for the reconstruction of mental health after the COVID-19 pandemic.

Exploring female students' perceptions of the use of digital technologies in managing academic stress

Objective

The purpose of this research is to explore the perceptions of female students regarding the implementation of digital technologies for academic stress management. We aim to determine if the contribution of these technologies could offer to female students a better management of the stress related to their studies and thus, a better deployment of strategies to cope with academic difficulties.

Method

A qualitative study using the focus group methodology was conducted. Our inductive and exploratory approach allowed us to focus on the experience and perception of eleven female students from the University of Mons. The cohort was divided into two groups according to their score on the Perceived Stress Scale-10.

Results

The data collected was analyzed using the thematic analysis of which allowed us to identify fourteen sub-themes divided into three axes: coping strategies used to manage academic stress, students' needs to improve their management of academic stress, and the implementation of technology for managing academic stress.

Conclusion

Our results show that the issues present in the academic context lead students to use various coping strategies, some of which are harmful to their physical and mental health. The implementation of digital technologies and biofeedback seems to be an approach that could help students adopt more functional coping strategies and alleviate their daily difficulties in managing academic stress.

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

Background

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

Objectives

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

Methods

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

Results

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

Discussion

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

Clinical guidelines for the use of lifestyle-based mental health care in major depressive disorder: World Federation of Societies for Biological Psychiatry (WFSBP) and Australasian Society of Lifestyle Medicine (ASLM) taskforce

OBJECTIVES

The primary objectives of these international guidelines were to provide a global audience of clinicians with (a) a series of evidence-based recommendations for the provision of lifestyle-based mental health care in clinical practice for adults with Major Depressive Disorder (MDD) and (b) a series of implementation considerations that may be applicable across a range of settings.

METHODS

Recommendations and associated evidence-based gradings were based on a series of systematic literature searches of published research as well as the clinical expertise of taskforce members. The focus of the guidelines was eight lifestyle domains: physical activity and exercise, smoking cessation, work-directed interventions, mindfulness-based and stress management therapies, diet, sleep, loneliness and social support, and green space interaction. The following electronic bibliographic databases were searched for articles published prior to June 2020: PubMed, EMBASE, The Cochrane Library (Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials (CENTRAL), Cochrane Methodology Register), CINAHL, PsycINFO. Evidence grading was based on the level of evidence specific to MDD and risk of bias, in accordance with the World Federation of Societies for Biological Psychiatry criteria.

RESULTS

Nine recommendations were formed. The recommendations with the highest ratings to improve MDD were the use of physical activity and exercise, relaxation techniques, work-directed interventions, sleep, and mindfulness-based therapies (Grade 2). Interventions related to diet and green space were recommended, but with a lower strength of evidence (Grade 3). Recommendations regarding smoking cessation and loneliness and social support were based on expert opinion. Key implementation considerations included the need for input from allied health professionals and support networks to implement this type of approach, the importance of partnering such recommendations with behaviour change support, and the need to deliver interventions using a biopsychosocial-cultural framework.

CONCLUSIONS

Lifestyle-based interventions are recommended as a foundational component of mental health care in clinical practice for adults with Major Depressive Disorder, where other evidence-based therapies can be added or used in combination. The findings and recommendations of these guidelines support the need for further research to address existing gaps in efficacy and implementation research, especially for emerging lifestyle-based approaches (e.g. green space, loneliness and social support interventions) where data are limited. Further work is also needed to develop innovative approaches for delivery and models of care, and to support the training of health professionals regarding lifestyle-based mental health care.

A Qualitative Examination of the Impact of Suicidal Thoughts and Behavior on Help-Seeking Among University Students in Colombia and Mexico

This study examined descriptions of suicidal thoughts and behavior (STB) to identify risk and protective factors that may present in clinical settings among university students from Latin America. Our focus was on answering the following key questions: How are suicidal thoughts and behavior described? What are reasons for wanting to die and for living? What impact do STBs have on motivations to seek or avoid psychological treatment? To this end, 55 qualitative interviews were completed with university students from Colombia and Mexico who recently endorsed emotional difficulties in the World Mental Health International College Student (WMH-ICS) surveys. Interviews were coded to identify themes specific to STBs. Findings revealed insight on symptom presentations and consequences of STBs. Participants described uncontrollable somatic symptoms during periods of high suicide risk, which serves as a relevant clinical marker for health providers. An important reason for living was to avoid suffering for family, which was protective against suicide and motivates familial involvement in treatment planning. Participants sought solutions to emotional problems after experiencing STBs, including psychological treatment. Cultural stigma of mental illness induced feelings of shame and burden, which led to avolition, avoidance, and nondisclosure of symptom severity. This study provides insight into the utility of evaluating cultural context in (a) detecting antecedents to STBs frequently reported as somatic symptoms, (b) identifying protective factors against suicide, and (c) recognizing how stigma of mental illness and suicide, shame avoidance, and familism might influence personal motivations to seek or avoid help for emotional distress.

Predictors of digital technology-based mental health programs in young adults for mental health support

Technology-based platforms are widely used to deliver mental health support. The aim of this study was to explore factors associated with the use of technology-based mental health platforms by students who may be vulnerable to develop a mental health condition in an Australian psychology student sample. Participants were 1146 students (18-30 years) at an Australian university who completed a survey regarding their current mental health symptoms and lifetime use of technology-based platforms. The student's country of birth, having a previous mental health diagnosis, having a family member with a mental illness and greater stress scores predicted any type of online/technology-use. Greater symptoms correlated with lower helpfulness of online mental health programs and websites. Apps were perceived as more helpful by those with a mental illness history and associated with higher stress scores. The use of any type of technology-based platform was high in the sample overall. Further research may clarify why mental health programs are less popular, and how these platforms may be utilised to support mental health outcomes.

The impact of technology systems and level of support in digital mental health interventions: a secondary meta-analysis

BACKGROUND

The majority of people with a chronic disease (e.g., diabetes, hypertension, COPD) have more than one concurrent condition and are also at higher risk for developing comorbidities in mental health, including anxiety and depression. There is an urgent need for more relevant and accurate data on digital interventions in this area to prepare for an increase demand for mental health services. The aim of this study was to conduct a meta-analysis of the digital mental health interventions for people with comorbid physical and mental chronic diseases to compare the effect of technology systems and level of support.

METHODS

This secondary meta-analysis follows a rapid review of systematic reviews, a virtual workshop with knowledge users to identify research questions and a modified Delphi study to guide research methods: What types of digital health interventions (according to a recognized categorization) are the most effective for the management of concomitant mental health and chronic disease conditions in adults? We conducted a secondary analysis of the primary studies identified in the rapid review. Two reviewers independently screened the titles and abstracts and applied inclusion criteria: RCT design using a digital mental health intervention in a population of adults with another chronic condition, published after 2010 in French or English, and including an outcome measurement of anxiety or depression.

RESULTS

Seven hundred eight primary studies were extracted from the systematic reviews and 84 primary studies met the inclusion criteria Digital mental health interventions were significantly more effective than in-person care for both anxiety and depression outcomes. Online messaging was the most effective technology to improve anxiety and depression scores; however, all technology types were effective. Interventions partially supported by healthcare professionals were more effective than self-administered.

CONCLUSIONS

While our meta-analysis identifies digital intervention's characteristics are associated with better effectiveness, all technologies and levels of support could be used considering implementation context and population.

TRIAL REGISTRATION

The protocol for this review is registered in the National Collaborating Centre for Methods and Tools (NCCMT) COVID-19 Rapid Evidence Service (ID 75).

Age, Period, and Cohort Trends in Perceived Mental Health Treatment Need and Differences by Mental Health Severity in the United States, 2008-2019

Identifying age, period, and cohort trends in perceived mental health treatment need over time by mental illness severity is important to identify where to focus early intervention efforts. We included adults who did not report receiving past-year mental health treatment in the 2008-2019 National Survey on Drug Use and Health (N = 364,676). Hierarchical age-period-cohort models were used to assess perceived mental health treatment need, adjusting for demographics stratified by mental illness severity (none, any but not severe [AMI], severe [SMI]). Median odds ratios estimated cohort and period variance. Cohort effects explained a significant portion of the variance over time; period effects were minimal. Perceived mental health treatment need was highest among adults with AMI from recent birth cohorts (2000-2002: β = 1.12; 95% CI = 0.96, 1.28). Efforts are needed to address increases in perceived mental health treatment need in younger birth cohorts, such as removing structural barriers (e.g., healthcare system barriers).

Association between diet and symptoms of anxiety and depression in college students: A systematic review

Objective: To gather research evidence on the association between diet and depression and anxiety among college students. Methods: Systematic searches were performed in CINAHL, PsycINFO, PubMed, and ScienceDirect databases to identify potentially relevant articles published between January 2000 and September 2020. Data were extracted from 21 selected studies. Results: Most of the cross-sectional studies found a positive association between diet and depression and anxiety; however, a few studies found inconsistent results. Moreover, several interventional studies demonstrated that a healthy diet (including consumption of fruit and vegetables) improved depression in the intervention group. Conclusions: The methodological limitations of cross-sectional studies to explain causality and the limited number of prospective interventional studies point to a pressing need to conduct more prospective, longitudinal, and randomized controlled trials to generalize the causal associations between diet and depression and anxiety. Further research is needed to investigate the biological mechanisms of nutrients' actions on anxiety and depression.

Conversational Agent Interventions for Mental Health Problems: Systematic Review and Meta-analysis of Randomized Controlled Trials

BACKGROUND

Mental health problems are a crucial global public health concern. Owing to their cost-effectiveness and accessibility, conversational agent interventions (CAIs) are promising in the field of mental health care.

OBJECTIVE

This study aims to present a thorough summary of the traits of CAIs available for a range of mental health problems, find evidence of efficacy, and analyze the statistically significant moderators of efficacy via a meta-analysis of randomized controlled trial.

METHODS

Web-based databases (Embase, MEDLINE, PsycINFO, CINAHL, Web of Science, and Cochrane) were systematically searched dated from the establishment of the database to October 30, 2021, and updated to May 1, 2022. Randomized controlled trials comparing CAIs with any other type of control condition in improving depressive symptoms, generalized anxiety symptoms, specific anxiety symptoms, quality of life or well-being, general distress, stress, mental disorder symptoms, psychosomatic disease symptoms, and positive and negative affect were considered eligible. This study followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Data were extracted by 2 independent reviewers, checked by a third reviewer, and pooled using both random effect models and fixed effects models. Hedges g was chosen as the effect size.

RESULTS

Of the 6900 identified records, a total of 32 studies were included, involving 6089 participants. CAIs showed statistically significant short-term effects compared with control conditions in improving depressive symptoms (g=0.29, 95% CI 0.20-0.38), generalized anxiety symptoms (g=0.29, 95% CI 0.21-0.36), specific anxiety symptoms (g=0.47, 95% CI 0.07-0.86), quality of life or well-being (g=0.27, 95% CI 0.16-0.39), general distress (g=0.33, 95% CI 0.20-0.45), stress (g=0.24, 95% CI 0.08-0.41), mental disorder symptoms (g=0.36, 95% CI 0.17-0.54), psychosomatic disease symptoms (g=0.62, 95% CI 0.14-1.11), and negative affect (g=0.28, 95% CI 0.05-0.51). However, the long-term effects of CAIs for the most mental health outcomes were not statistically significant (g=-0.04 to 0.39). Personalization and empathic response were 2 critical facilitators of efficacy. The longer duration of interaction with conversational agents was associated with the larger pooled effect sizes.

CONCLUSIONS

The findings show that CAIs are research-proven interventions that ought to be implemented more widely in mental health care. CAIs are effective and easily acceptable for those with mental health problems. The clinical application of this novel digital technology will conserve human health resources and optimize the allocation of mental health services.

TRIAL REGISTRATION

PROSPERO CRD42022350130; https://tinyurl.com/mvhk6w9p.

A systematic review and meta-analysis of digital interventions targeted at individuals with borderline personality disorder (BPD), emotionally unstable personality disorder (EUPD), and related symptoms

OBJECTIVES

The present review investigates the impact of digital interventions for individuals with features of borderline personality disorder (BPD)/emotional unstable personality disorder (EUPD) as digital interventions show promise as therapeutic tools in underserved groups. BPD/EUPD features are identified as clinically relevant, yet previous reviews on the use of digital interventions fail to include subthreshold symptomatology.

METHODS

Five online databases were searched for terminology in three categories: BPD/EUPD and related symptoms, mental-health interventions, and digital technology. Additionally, four relevant journals and two trial registers were searched for additional papers meeting the inclusion criteria.

RESULTS

Twelve articles met all inclusion criteria. Meta-analyses revealed statistically significant differences in symptom measures between intervention and control groups at postintervention and decreases in BPD/EUPD symptomatology and well-being from pre- to postintervention. Service users' engagement, satisfaction, and acceptability of interventions were high. Results support the previous literature on the value of using digital interventions in populations with BPD/EUPD.

CONCLUSION

Overall, it was identified that digital interventions show promise for successful implementation with this population.

A qualitative exploration of college students' experiences using mobile apps to improve self-care during the COVID-19 pandemic

Objective: This project examines students' experiences using a mental health mobile application (app) as part of a class assignment developed to support student well-being. Participants: Data was collected from 265 undergraduate students enrolled in a psychology course during the COVID-19 pandemic. Methods: Students developed a self-care goal and used an app to support progress toward it. Thematic analysis was applied to students' written reflections about their experiences using the app and practicing self-care. Results: Students reported using an app for self-care was 1) more helpful than expected for improving focus, productivity, motivation, sleep, and mental health symptoms; 2) challenging due to loss of interest, slow improvement, difficulty integrating into routine, or negative feelings triggered; and 3) influenced by the pandemic and transition to remote learning. Conclusions: A classroom assignment designed to promote self-care using a mental health app shows promise. Future research is needed to better understand engagement and impact.

Stressors and resilience are associated with well-being in young adult college students

Objective: The purposes were to describe stressors and resilience behaviors of college students and examine the relationships among stressors, resilience, and well-being. Hypothesis: Resilience will modify the relationship between stressors and well-being. Participants: The sample included 1,010 college students, ages 18-26, from an urban Midwestern university. Methods: A secondary analysis of cross-sectional data from an anonymous survey was conducted using multiple regression and simple slopes analysis. Results: Resilience did not modify the relationship between stressors and well-being. Stressors (β = -.44, p < .0001) and resilience (β = .33, p < .0001) accounted for 42% of the variance in well-being (adjusted R² = .42, F_2,999 = 365.98, p < .0001). The most frequently endorsed stressors were sleep problems, anxiety, and relationships. Conclusions: Stressors and resilience warrant special attention in the allocation of resources and development of programs to improve student well-being.

The Future of Public Mental Health: Challenges and Opportunities

Policy Points Social policies such as policies advancing universal childcare to expand Medicaid coverage of home- and community-based care for seniors and people with disabilities and for universal preschool are the types of policies needed to address social determinants of poor mental health. Population-based global budgeting approaches like accountable care and total cost of care models have the potential to improve population mental health by incentivizing health systems to control costs while simultaneously improving outcomes for the populations they serve. Policies expanding reimbursement for services delivered by peer support specialists are needed. People with lived experience of mental illness are uniquely well suited to helping their peers navigate treatment and other support services.

User experiences of an online therapist-guided psychotherapy platform, OPTT: A cross-sectional study

Introduction

In the last few years, online psychotherapy programs have burgeoned since they are a more accessible and scalable treatment option compared to in-person therapies. While these online programs are promising, understanding the user experience and perceptions of care is essential for program optimization.

Methods

This study investigated the experiences of end-users who had previously received online psychotherapy through a web-based platform. A 35-item multiple-choice survey was developed by the research team and distributed to past users to capture their perceptions of the program.

Results

The survey yielded 163 responses, with a 90 % completion rate. Participants were predominantly white and female, with an average age of 42 years. While most participants preferred in-person therapy, they also reported the benefits of the online psychotherapy program. Participants had positive perceptions of the platform, the quality and interaction of their therapist, and the homework assignments and skills covered. Lack of motivation to complete weekly homework assignments was cited as a common struggle.

Discussion

The findings support online psychotherapy as a beneficial digital mental health tool and highlight some areas for improvement. Scalability and accessibility are key benefits of the platform. At the same time, improvements in participant engagement, including those from equity-seeking and equity-deserving groups, may enhance the efficacy of the programs offered.

Association between Eating Habits and Sodium Intake among Chinese University Students

(1) Background: Insufficient evidence exists regarding the dietary habits that may contribute to high sodium intake among college students in China. This cross-sectional study aimed to investigate the dietary sodium intake of college students in Hunan and its association with their dietary habits. (2) Methods: In total, 585 university students from Hunan were recruited for this study. The sodium Food Frequency Questionnaire (sodium-FFQ) and dietary habits were assessed. (3) Results: Excluding cooking salt and high-sodium seasonings, the daily dietary sodium intake among college students in Changsha, Hunan Province, was 1183.74 (563.38, 2054.86) mg/day. A vast majority (89%) of college students reported eating outside of school at least once a week, and approximately one-third (34%) ordered takeaways at least once a week. After adjusting for confounding factors, the associations between the frequency of eating out and ordering takeaways with college students' sodium intake remained significant. (4) Conclusions: The findings indicate that excessive dietary sodium intake among college students in Hunan is a growing concern. College students who frequently eat out and order takeaways tend to have a higher sodium intake. Future research should focus on identifying the main sources of dietary sodium and developing interventions that promote healthy dietary habits among college students.

Understanding the Adoption and Use of Digital Mental Health Apps Among College Students: Secondary Analysis of a National Survey

BACKGROUND

Increasing rates of mental health diagnoses in college students signal the need for new opportunities to support the mental health of this population. With many mental health apps being efficacious, they may be a promising resource for college campuses to provide support to their students. However, it is important to understand why (or why not) students might want to use apps and their desired features.

OBJECTIVE

Information on students' interest in mental health apps may inform which apps are to be provided and how campuses can support their use. This study aimed to understand the interest and hesitation in app use and the relationship between mental health needs, as defined by depression, anxiety, and positive mental health, and app use.

METHODS

The web-based Healthy Minds Study collected information on mental health needs, perceptions, and service use across colleges and universities. We used a sample of 989 participants who completed the survey between 2018 and 2020 and an elective module on digital mental health. We analyzed the elective module responses using a mixed methods approach, including both descriptive and inferential statistics, along with thematic coding for open text responses.

RESULTS

The Results from this study revealed that anxiety (b=-0.07; P<.001), but not depression (b=0.03; P=.12) and positive mental health (b=-0.02; P=.17), was a significant predictor of app adoption. Prominent qualitative findings indicated that the most desired app features included tips and advice, access to resources and information, and on-demand support that involves interaction throughout the day. The participants also suggested an overall desire for human interaction to be integrated into an app. As predicted, hesitancy was encountered, and the qualitative results suggested that there was a lack of interest in the adoption of mental health app and preference.

CONCLUSIONS

The findings from this study underscore that simply providing digital mental health apps as tools may be insufficient to support their use in college campuses. Although many students were open to using a mental health app, hesitation and uncertainty were common in the participant responses. Working with colleges and universities to increase digital literacy and provide resources that allow students to gauge when app use is appropriate may be helpful when implementing mental health apps as resources in college campuses.

Exploring the Perceptions of mHealth Interventions for the Prevention of Common Mental Disorders in University Students in Singapore: Qualitative Study

BACKGROUND

Mental health interventions delivered through mobile health (mHealth) technologies can increase the access to mental health services, especially among university students. The development of mHealth intervention is complex and needs to be context sensitive. There is currently limited evidence on the perceptions, needs, and barriers related to these interventions in the Southeast Asian context.

OBJECTIVE

This qualitative study aimed to explore the perception of university students and mental health supporters in Singapore about mental health services, campaigns, and mHealth interventions with a focus on conversational agent interventions for the prevention of common mental disorders such as anxiety and depression.

METHODS

We conducted 6 web-based focus group discussions with 30 university students and one-to-one web-based interviews with 11 mental health supporters consisting of faculty members tasked with student pastoral care, a mental health first aider, counselors, psychologists, a clinical psychologist, and a psychiatrist. The qualitative analysis followed a reflexive thematic analysis framework.

RESULTS

The following 6 main themes were identified: a healthy lifestyle as students, access to mental health services, the role of mental health promotion campaigns, preferred mHealth engagement features, factors that influence the adoption of mHealth interventions, and cultural relevance of mHealth interventions. The interpretation of our findings shows that students were reluctant to use mental health services because of the fear of stigma and a possible lack of confidentiality.

CONCLUSIONS

Study participants viewed mHealth interventions for mental health as part of a blended intervention. They also felt that future mental health mHealth interventions should be more personalized and capable of managing adverse events such as suicidal ideation.

Digital mental health interventions for people with epilepsy: a systematic review

OBJECTIVE

Although mental health difficulties are common in people with epilepsy, their assessment and treatment are rarely incorporated into routine medical care, with detrimental effects on quality of life. Several barriers to access traditional face to face interventions have been identified, including travel restriction and shortage of appropriately trained mental health clinicians. Digital mental health interventions offer the potential to improve access to mental health treatment. The main aim of the present study is to systematically review the empirical literature to identify what digital mental health interventions for adults, children and young people with epilepsy are currently available, as well as exploring if these interventions are effective in improving mental health and wellbeing.

METHODS

Searches were conducted using the MEDLINE, PsycINFO, Web of Science and Embase. The reference lists of papers collected were examined in order to identify any further relevant articles cited in peer-reviewed journals. A total of 1490 papers were identified; of these 11 were included in this review. The protocol was registered in the PROSPERO database (CRD42022318658) and the PRISMA 2020 statement was followed.

RESULTS

Seven digital interventions were identified. All interventions were based predominantly on CBT and mindfulness techniques and showed promising results in reducing symptoms of depression, with some studies also reporting encouraging results in reducing anxiety and improving satisfaction with life and the quality of life of adults and children and young people with epilepsy.

CONCLUSIONS

In summary, digital mental health interventions for people with epilepsy seem to be effective and have the potential to improve access to psychological interventions and reach underserved clinical populations. However, further well-powered and methodological rigorous studies are needed to confirm the effect of such interventions for people with epilepsy.

Internet-delivered cognitive behavioral therapy for anxiety among university students: A systematic review and meta-analysis

University years are marked by multiple stressors. Consequently, university students often report anxiety symptoms or disorders, but most remain untreated. Internet-delivered cognitive behavioral therapy (ICBT) has been proposed as an alternative to address known help-seeking barriers, which were aggravated during the COVID-19 pandemic. This meta-analysis aims to evaluate the efficacy of ICBT for university students with anxiety. A systematic search on three databases, EBSCOhost, PubMed, and Web of Science, and a manual search were performed. Fifteen studies were identified, including a total of 1619 participants. Seven studies evaluated ICBT treatment for both anxiety and depression, three for social anxiety, two for generalized anxiety, while the remaining (k = 3) only targeted anxiety, test anxiety, and comorbidity between anxiety and insomnia. Analyses were performed based on a random-effects model using the metafor package in R. The results indicated that ICBT had a significant and positive effect on university students with anxiety compared to controls at post-test (g = -0.48; 95 % CI: -0.63, -0.27; p < .001, I ²  = 67.30 %). Nevertheless, more research is required to determine the intervention components that are more relevant for therapeutic change, how much guidance is required to produce better outcomes, and how patient engagement can be improved.

Treating Young Adult Depression With Text-Delivered Cognitive Behavioral Therapy: A Pilot Randomized Clinical Trial

Young adults (ages 18 to 25) in the U.S. suffer from the highest rates of past-year major depressive episode and are the least likely to receive treatment compared to other age groups. As such, we examined the feasibility, acceptability, and efficacy of a text-message delivered cognitive behavioral therapy: CBT-txt with young adults. The study was a 2-month pilot RCT to test a 4-week intervention for depression that contained 197 text messages (average 12 texts every other day). The sample, recruited via Facebook and Instagram, was 102 U.S. young adults who presented with at least moderate depressive symptomatology. Assessments occurred at baseline prior to randomization and at 1 and 2 months post enrollment. The primary outcome, severity of depressive symptoms, was assessed using the Beck Depression Inventory II. Feasibility benchmarks were met and participants reported high levels of engagement with and acceptability of the intervention. Logistic regression indicated that treatment participants were three times as likely to have minimal or mild depression symptoms at 2 months compared to waitlist control participants. Latent change score modeling found that the strongest significant treatment effect appeared at the 1-month follow-up period, particularly for participants who began with severe depressive symptoms. Mediation analysis revealed significant indirect treatment effects of increases in behavioral activation on reducing depressive symptoms, suggesting a mechanism of change. Limitations were that the sample was relatively small and consisted of primarily women. These results provide initial evidence for the feasibility, acceptability, and efficacy of a text-delivered treatment for young adult depression.

"Whenever you need support, you first turn to the group": motivations and functions of WhatsApp groups for youth living with HIV

Social support is a critical component of achieving positive health outcomes for youth living with HIV (YLWH). Mobile health (mHealth) has significant potential for providing social support to YLWH. However, little is known about the domains of social support most needed by YLWH which mHealth interventions might address. Drawing on the spontaneous creation of WhatsApp support groups by YLWH in Nairobi, Kenya, we characterized Kenyan YLWH's social support needs and potential roles of social media groups in meeting them. We conducted interviews and focus-groups with 68 YLWH, 24 caregivers and 20 healthcare workers, and observed two YLWH-led WhatsApp groups for 6 weeks. Youth reported that existing support systems, including family and healthcare workers, already provided informational and instrumental support. However, they emphasized unmet companionship and emotional support needs, leading to isolation, hopelessness, and medication adherence challenges. Participants identified connection with other YLWH as a unique source of emotional and companionship support that allowed them to feel more secure and less isolated. Interviews and observed WhatsApp chats demonstrated that WhatsApp groups were a desirable medium for companionship support that overcame barriers to in-person connection.

University Student Health Services, Local Experience, and Emerging Needs: Bridging the Past With the Future

University students' health and well-being is critical, especially in the aftermath of the coronavirus disease 2019 pandemic; however, a comprehensive and integrated approach in academic institutions remains neglected. In this context, the local experience from a pilot university-based Student Health Center at an urban campus in Greece is presented. Select health promotion and disease prevention screening and monitoring initiatives are summarized from the viewpoint of a Strengths, Weaknesses, Opportunities, and Threats analysis, with emerging health needs and policy implications. Long-term sustainability is feasible, only if synergies and close collaboration with other university units and local health authorities are developed. A post-pandemic call to action for intervention programs that integrate physical and mental health care, as well as raise awareness among university stakeholders and health policy makers, is issued. [Journal of Psychosocial Nursing and Mental Health Services, 61(3), 27-31.].

A better start national science challenge: supporting the future wellbeing of our tamariki E tipu, e rea, mō ngā rā o tō ao: grow tender shoot for the days destined for you

The majority of children and young people in Aotearoa New Zealand (NZ) experience good health and wellbeing, but there are key areas where they compare unfavourably to those in other rich countries. However, current measures of wellbeing are critically limited in their suitability to reflect the dynamic, culture-bound, and subjective nature of the concept of 'wellbeing'. In particular, there is a lack of measurement in primary school-aged children and in ways that incorporate Māori perspectives on wellbeing. A Better Start National Science Challenge work in the areas of Big Data, Healthy Weight, Resilient Teens, and Successful learning demonstrates how research is increasing our understanding of, and our ability to enhance, wellbeing for NZ children. As we look ahead to the future, opportunities to support the wellbeing of NZ young people will be shaped by how we embrace and mitigate against potential harms of new technologies, and our ability to respond to new challenges that arise due to climate change. In order to avoid increasing inequity in who experiences wellbeing in NZ, wellbeing must be monitored in ways that are culturally acceptable, universal, and recognise what makes children flourish.

Digital interventions for substance use disorders in young people: rapid review

BACKGROUND

Young people are disproportionately more likely than other age groups to use substances. The rise in substance use and related harms, including overdose, during the Covid-19 pandemic has created a critical need for more innovative and accessible substance use interventions. Digital interventions have shown effectiveness and can provide more engaging, less stigmatizing, and accessible interventions that meet the needs of young people. This review provides an overview of recent literature on the nature of recently published digital interventions for young people in terms of technologies used, substances targeted, intended outcomes and theoretical or therapeutic models employed.

METHODS

Rapid review methodology was used to identify and assess the literature on digital interventions for young people. An initial keyword search was conducted using MEDLINE the Cochrane Database of Systematic Reviews, Database of Abstracts of Reviews of Effects (DARE), Health Technology Assessment Database (HTA) and PROSPERO for the years 2015-2020, and later updated to December 2021. Following a title/abstract and full-text screening of articles, and consensus decision on study inclusion, the data extraction process proceeded using an extraction grid developed for the study. Data synthesis relied on an adapted conceptual framework by Stockings, et al. that involved a three-level treatment spectrum for youth substance use (prevention, early intervention, and treatment) for any type of substance.

RESULTS

In total, the review identified 43 articles describing 39 different digital interventions. Most were early interventions (n = 28), followed by prevention interventions (n = 6) and treatment interventions (n = 5). The identified digital technologies included web-based (n = 14), game-based (n = 10), mobile-based (n = 7), and computer-based (n = 5) technologies, and virtual reality (n = 3). Most interventions targeted alcohol use (n = 20) followed by tobacco/nicotine (n = 5), cannabis (n = 2), opioids (n = 2), ketamine (1) and multiple, or any substances (n = 9). Most interventions used a personalized or normative feedback approach and aimed to effect behaviour change as the intended outcome. Interestingly, a harm reduction approach guided only one of the 39 interventions.

CONCLUSIONS

While web-based interventions represented the most common type of technology, more recently developed immersive and interactive technologies such as virtual reality and game-based interventions call for further exploration. Digital interventions focused mainly on alcohol use, reflecting less concern for tobacco, cannabis, co-occurring substance use, and illicit drug use. Specifically, the recent exacerbation in the opioid crisis throughout North American underlines the urgent need for more prevention-oriented digital interventions for opioid use. The uptake of digital interventions among youth also depends on the incorporation of harm reduction approaches.

Religiosity and Stigmatization Related to Mental Illness Among African Americans and Black Immigrants: Cross-Sectional Observational Study and Moderation Analysis

ABSTRACT

Stigma about mental illness is a known barrier to engagement in mental health services. We conducted an online cross-sectional study, aiming to estimate the associations between religiosity and mental illness stigma among Black adults ( n = 269, ages 18-65 years) in the United States. After adjusting for demographic factors (age, education, and ethnicity), respondents with higher attendance at religious services or greater engagement in religious activities ( e.g. , prayer, meditation, or Bible study) reported greater proximity to people living with mental health problems (rate ratio [RR], 1.72; 95% confidence interval [CI], 1.14-2.59 and RR, 1.82; 95% CI, 1.18-2.79, respectively). Despite reporting greater past or current social proximity, respondents with higher religiosity indices also reported greater future intended stigmatizing behavior (or lower future intended social proximity) (RR, 0.92-0.98). Focusing specifically on future intended stigmatizing behavior and the respondent's level of religiosity, age, and ethnicity may be critical for designing effective stigma-reducing interventions for Black adults.

Review: Can digital mental health interventions bridge the 'digital divide' for socioeconomically and digitally marginalised youth? A systematic review

BACKGROUND

Digital mental health interventions (DMHIs) have the potential to improve the efficiency, accessibility and effectiveness of mental health services for young people, with the potential to reach socioeconomically and digitally marginalised young people with mental health needs who would otherwise not seek help in person. This review aims to investigate the characteristics, acceptability and efficacy of DMHIs specifically developed for socioeconomically and digitally marginalised youth.

METHOD

Key databases were searched widely and systematically (EMBASE, MEDLINE, PsycINFO, OpenGrey). Final inclusion in this review required studies to evaluate DMHIs specifically targeting socioeconomically and digitally marginalised children and young people through a broad range of research designs.

RESULTS

Ten studies, describing seven DHMIs, were included in this review. Studies varied in terms of methodology, population, intervention, outcome measures, technologies used and methodological quality. Qualitative and quantitative results are synthesised across three key phenomena of interest: effectiveness, acceptability and feasibility. Findings suggest that there is moderate but limited evidence supporting DMHIs for improving mental health outcomes among these populations.

CONCLUSIONS

While there is moderate evidence suggesting that digitally delivered interventions can be effective in improving mental health outcomes among socioeconomically and digitally marginalised youth, more high-quality research is needed in order to determine whether DMHIs can fully bridge the so-called 'digital divide'.

Using the Consolidated Framework for Implementation Research to evaluate a nationwide depression prevention project (ImplementIT) from the perspective of health care workers and implementers: Results on the implementation of digital interventions for farmers

Introduction

Depression has a significant impact on individuals and society, which is why preventive measures are important. Farmers represent an occupational group exposed to many risk factors for depression. The potential of guided, tailored internet-based interventions and a personalized telephone coaching is evaluated in a German project of the Social Insurance for Agriculture, Forestry and Horticulture (SVLFG). While user outcomes are promising, not much is known about actual routine care use and implementation of the two digital health interventions. This study evaluates the implementation from the perspective of social insurance employees to understand determinants influencing the uptake and implementation of digital interventions to prevent depression in farmers.

Methods

The data collection and analysis are based on the Consolidated Framework for Implementation Research (CFIR). Health care workers (n = 86) and implementers (n = 7) completed online surveys and/or participated in focus groups. The surveys consisted of validated questionnaires used in implementation research, adapted items from the CFIR guide or from other CFIR studies. In addition, we used reporting data to map implementation based on selected CFIR constructs.

Results

Within the five CFIR dimensions, many facilitating factors emerged in relation to intervention characteristics (e.g., relative advantage compared to existing services, evidence and quality) and the inner setting of the SVLFG (e.g., tension for change, compatibility with values and existing working processes). In addition, barriers to implementation were identified in relation to the outer setting (patient needs and resources), inner setting (e.g., available resources, access to knowledge and information) and characteristics of individuals (e.g., self-efficacy). With regard to the implementation process, facilitating factors (formal implementation leaders) as well as hindering factors (reflecting and evaluating) were identified.

Discussion

The findings shed light on the implementation of two digital prevention services in an agricultural setting. While both offerings seem to be widely accepted by health care workers, the results also point to revealed barriers and contribute to recommendations for further service implementation. For instance, special attention should be given to "patient needs and resources" by raising awareness of mental health issues among the target population as well as barriers regarding the inner setting.

Clinical Trial Registration

German Clinical Trial Registration: [DRKS00017078]. Registered on 18.04.2019.

Intention to use digital mental health solutions: A cross-sectional survey of university students attitudes and perceptions toward online therapy, mental health apps, and chatbots

Background

Globally, the high prevalence of mental disorders among university students is a growing public health problem, yet a small minority of students with mental health problems receive treatment. Digital mental health solutions could bridge treatment gaps and overcome many barriers students face accessing treatment. However, there is scant evidence, especially in South Africa (SA), relating to university students' use of and intention to use digital mental health solutions or their attitudes towards these technologies. We aim to explore university 2students attitudes towards and perceptions of digital mental health solutions, and the factors associated with their intention to use them.

Methods

University students from four SA universities (n = 17 838) completed an online survey to assess experience with, attitudes and perceptions of, and intentions to use, digital mental health solutions. We conducted an exploratory factor analysis to identify factors underlying attitudes and perceptions, and then used multivariate ordinal regression analysis was used to investigate the factors' association with students' intention to use digital mental health solutions.

Results

Intention to use digital mental health solutions was high, and attitudes towards and perceptions of digital mental health solutions were largely positive. Importantly, our analysis also shows that 12.6% of users were willing to utilise some form of digital mental health solutions but were unwilling to utilise traditional face-to-face therapies. The greatest proportion of variance was explained by the factor 'Attitudes towards digital technologies' utility to improve student counselling services, provided they are safe'.

Conclusion

SA university students are already engaging with digital mental health solutions, and their intention to do so is high. Certain attitudes and perceptions, particularly concerning the utility, effectiveness, and safety, underlie willingness to engage with these solutions, providing potential targets for interventions to increase uptake.

Money can't buy happiness: A randomized controlled trial of a digital mental health app with versus without financial incentives

Mental health disorders are prevalent among college students and increasing in frequency and severity. However, there is a significant gap between those who need treatment and those who engage in treatment. Given the documented efficacy of financial incentives for promoting health behavior change and engagement in treatment, financial incentives may help, along with nonfinancial behavioral incentives such as motivational messaging, gamification, and loss aversion techniques. We compared brief (28-day) use of two versions of a behavioral economics-inspired digital mental health app, NeuroFlow: (1) the full app including financial incentives and nonfinancial behavioral incentives (treatment group) and (2) a version of the app with nonfinancial behavioral incentives only (control group). In our intent-to-treat analyses, in order to examine the primary outcome of app engagement, a one-way analysis of variance (ANOVA) (treatment vs. control) was conducted, and to examine the secondary outcomes (depression, anxiety, emotion dysregulation, and wellbeing), a two-way repeated measures ANOVAs (treatment vs. control × baseline vs. post-trial) were conducted. We found that there were no differences between treatment groups on app engagement or the change in the mental health/wellness outcome measures. There was a main effect of timepoint on symptoms of anxiety and emotion dysregulation, such that there were significantly lower self-reported symptoms at post-trial relative to baseline. Our results suggest that financial incentives in digital mental health apps over and above nonfinancial behavioral incentives do not have an impact on app engagement or mental health/wellness outcomes.

Association between participation in the Northern Finland Birth Cohort 1966 study and use of psychiatric care services

AIMS

In most population-based epidemiological follow-up studies the aim is not to intervene in the life of the participants. Although the idea is not to intervene, being a member of the longitudinal follow-up study and studies conducted during follow-up may affect the target population. A population-based study including mental health enquiries might reduce the unmet need for psychiatric treatment by motivating people to seek treatment for their psychiatric ill-health. We examined the use of psychiatric care services in the population born in the year 1966 in Northern Finland, of whom 96.3% are participants in the prospective Northern Finland Birth Cohort 1966 (NFBC1966).

METHODS

As a study cohort we used people born in 1966 in Northern Finland (n = 11 447). The comparison cohort included all the people born in the years 1965 and 1967 in the same geographical area (n = 23 339). The follow-up period was from age 10 to 50 years. The outcome measure was the use of psychiatric care services, which was analysed using Cox Proportional Hazard regression and Zero-Truncated Negative Binomial Regression.

RESULTS

People born in 1966 in Northern Finland did not differ from those born in 1965 and 1967 in terms of the outcome measure.

CONCLUSIONS

We found no association between participation in an epidemiological follow-up study and the use of psychiatric care services. The NFBC1966 may be regarded as a representative at the population level in terms of psychiatric outcomes despite the personal follow-up of the birth cohort. The associations of participation in epidemiological follow-up studies have previously been under-examined, and the results need to be replicated.

Investigating information needs and preferences regarding digital mental health services among medical and psychology students in Germany: A qualitative study

Background

Since 2020, physicians and psychotherapists in Germany can prescribe digital mental health services (dMHSs). However, even future healthcare professionals (HCPs), such as medical and psychology students, remain reluctant to use dMHSs, although they are a risk group for mental health issues themselves. Reasons include scepticism and lacking awareness of dMHSs, which can be addressed by acceptance-facilitating interventions (AFIs) such as information strategies. To date, though, little is known about their information needs.

Methods

Semi-structured interviews with n = 21 students were conducted between August and September 2021. Students of legal age studying psychology or medicine at a German university could participate. Interview recordings were transcribed verbatim and content-analyzed according to Mayring, using deductive and inductive coding.

Results

Most students reported having little experience with dMHSs. Digital health has barely been raised in their study, even though it was perceived as crucial for personal needs as well as in preparation for their work as HCPs. Students favoured receiving information on and recommendations for dMHSs from their university via, e.g. social media or seminars. Among others, information about data safety, scientific evidence base and application scope were preferred. Additionally, information on costs as well as user reviews seemed to be essential components of information strategies because students were concerned that high costs or low usability would hinder uptake.

Conclusions

The results give first insights on how future HCPs would like to be informed on dMHSs. Future research should focus on systematic variations of AFIs' components mimicking real-world decision scenarios to increase the adoption of dMHSs.

An IoMT-Based Approach for Real-Time Monitoring Using Wearable Neuro-Sensors

The Internet of Things (IoT) has demonstrated over the past few decades to be a powerful tool for connecting various medical equipment with in-built sensors and healthcare professionals to deliver superior health services that also reach remote areas. In addition to reducing healthcare costs, increasing access to clinical services, and enhancing operational effectiveness in the healthcare industry, it has also enhanced patient health safety. Recent research has focused on using EEG to assist and comprehend brain changes in rehabilitation facilities. These technologies can spot fluctuations in EEG constraints during treatment, which could result in more effective therapy and better functional outcomes. As a result, we have tried to use an IoT-based system for real-time monitoring of the constraints. Another unknown patient who is suffering from acute ischemic stroke may experience stroke-in-evolution or an early worsening of neurological symptoms, which is frequently associated with poor clinical outcomes. Because of this, managing an acute stroke requires early detection of these indications. The present investigation work will act as a standard reference for academic researchers, medical professionals, and everyone else involved in the use of IoMT. This study aims to anticipate strokes sooner and prevent their consequences by early intervention using an Internet of Things (IoT)-based system. Also, this study proposes usage of wearable equipment that can monitor and analyze brain signals for improved treatment and the prevention of stroke-related complications.

Evaluation of the Use of Digital Mental Health Platforms and Interventions: Scoping Review

BACKGROUND

The increasing use of digital mental health (DMH) platforms and digital mental health interventions (DMHIs) is hindered by uncertainty over effectiveness, quality and usability. There is a need to identify the types of available evidence in this domain.

AIM

This study is a scoping review identifying evaluation of the (1) DMH platform/s used; and (2) DMHI/s applied on the DMH platform/s.

METHODS

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guided the review process. Empirical studies that focused on evaluation of the use and application of DMH platforms were included from journal articles (published 2012-2022). A literature search was conducted using four electronic databases (Scopus, ScienceDirect, Sage and ACM Digital Library) and two search engines (PubMed and Google Scholar).

RESULTS

A total of 6874 nonduplicate records were identified, of which 144 were analyzed and 22 met the inclusion criteria. The review included general/unspecified mental health and/or suicidality indications (n = 9, 40.9%), followed by depression (n = 5, 22.7%), psychosis (n = 3, 13.6%), anxiety and depression (n = 2, 9.1%), as well as anxiety, depression and suicidality (n = 1, 4.5%), loneliness (n = 1, 4.5%), and addiction (n = 1, 4.5%). There were 11 qualitative studies (50%), 8 quantitative studies (36.4%), and 3 mixed-methods studies (n = 3, 13.6%). The results contained 11 studies that evaluated the DMH platform/s and 11 studies that evaluated the DMHI/s. The studies focused on feasibility, usability, engagement, acceptability and effectiveness. There was a small amount of significant evidence (1 in each 11), notably the (cost-)effectiveness of a DMHI with significant long-term impact on anxiety and depression in adults.

CONCLUSION

The empirical research demonstrates the feasibility of DMH platforms and DMHIs. To date, there is mostly heterogeneous, preliminary evidence for their effectiveness, quality and usability. However, a scalable DMHI reported effectiveness in treating adults' anxiety and depression. The scope of effectiveness may be widened through targeted strategies, for example by engaging independent young people.

A measurement method for mental health based on dynamic multimodal feature recognition

Introduction

The number of college students with mental problems has increased significantly, particularly during COVID-19. However, the clinical features of early-stage psychological problems are subclinical, so the optimal intervention treatment period can easily be missed. Artificial intelligence technology can efficiently assist in assessing mental health problems by mining the deep correlation of multi-dimensional data of patients, providing ideas for solving the screening of normal psychological problems in large-scale college students. Therefore, we propose a mental health assessment method that integrates traditional scales and multimodal intelligent recognition technology to support the large-scale and normalized screening of mental health problems in colleges and universities.

Methods

Firstly, utilize the psychological assessment scales based on human-computer interaction to conduct health questionnaires based on traditional methods. Secondly, integrate machine learning technology to identify the state of college students and assess the severity of psychological problems. Finally, the experiments showed that the proposed multimodal intelligent recognition method has high accuracy and can better proofread normal scale results. This study recruited 1,500 students for this mental health assessment.

Results

The results showed that the incidence of moderate or higher stress, anxiety, and depression was 36.3, 48.1, and 23.0%, which is consistent with the results of our multiple targeted tests.

Conclusion

Therefore, the interactive multimodality emotion recognition method proposed provides an effective way for large-scale mental health screening, monitoring, and intervening in college students' mental health problems.

The Use of Passive Smartphone Data to Monitor Anxiety and Depression Among College Students in Real-World Settings: Protocol for a Systematic Review

BACKGROUND

College students are particularly at risk of depression and anxiety. These disorders have a serious impact on public health and affect patients' daily lives. The potential for using smartphones to monitor these mental conditions, providing passively collected physiological and behavioral data, has been reported among the general population. However, research on the use of passive smartphone data to monitor anxiety and depression among specific populations of college students has never been reviewed.

OBJECTIVE

This review's objectives are (1) to provide an overview of the use of passive smartphone data to monitor depression and anxiety among college students, given their specific type of smartphone use and living setting, and (2) to evaluate the different methods used to assess those smartphone data, including their strengths and limitations.

METHODS

This review will follow the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Two independent investigators will review English-language, full-text, peer-reviewed papers extracted from PubMed and Web of Science that measure passive smartphone data and levels of depression or anxiety among college students. A preliminary search was conducted in February 2022 as a proof of concept.

RESULTS

Our preliminary search identified 115 original articles, 8 of which met our eligibility criteria. Our planned full study will include an article selection flowchart, tables, and figures representing the main information extracted on the use of passive smartphone data to monitor anxiety and depression among college students.

CONCLUSIONS

The planned review will summarize the published research on using passive smartphone data to monitor anxiety and depression among college students. The review aims to better understand whether and how passive smartphone data are associated with indicators of depression and anxiety among college students. This could be valuable in order to provide a digital solution for monitoring mental health issues in this specific population by enabling easier identification and follow-up of the patients.

TRIAL REGISTRATION

PROSPERO CRD42022316263; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=316263.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/38785.

The associations between COVID-19 vaccination and psychological disorders among healthcare workers in China

INTRODUCTION

COVID-19 has caused an unprecedented psychological affection that might impact the nationwide vaccination program in China. This study was to explore the association between COVID-19 vaccination and psychological disorders among healthcare workers.

METHODS

The study included 1571 healthcare workers from an anonymous online survey. Participants' sociodemographic characteristics, uptake data for the COVID-19 vaccine, and scores of the Depression, Anxiety, and Stress Scale (DASS-21) were collected. Nonparametric tests were conducted to compare the mean scores of DASS-21 between different subgroups. The potential factors related to psychological disorders of healthcare workers were analyzed using logistic regression.

RESULTS

The vaccination rate was 69.6 %, the incidence of vaccine-related adverse events was 35.13 %, and the prevalence of depression, anxiety, and stress were 24.8 %, 32 %, and 33.4 % in this study, respectively. Compared to vaccinated participants (single-dose and double-dose vaccines), unvaccinated participants got significantly higher mean scores of DASS-21 (p < 0.05 for all). Vaccinated participants who suffered no adverse events scored significantly lower than those who suffered 1-2 or ≥3 adverse events (p < 0.05 for all). Vaccination was negatively associated with higher depression, anxiety, and stress, however, the number of vaccine-related adverse events was positively associated with them.

LIMITATIONS

As this is a cross-sectional study, we could only speculate on the causality.

CONCLUSIONS

An obvious impact of the psychological disorders on the COVID-19 vaccine coverage and related adverse events was detected in this study. Public health agencies should attach great importance to the psychological states of our citizens before getting vaccinated.

Digital training for building resilience: Systematic review, meta-analysis, and meta-regression

Resilience is learnable and broadly described as an individual's adaptive coping ability, its potential value for stress reduction must be explored. With a global coronavirus pandemic, innovative ways to deliver resilience training amidst heightened mental health concerns must be urgently examined. This systematic review aimed to (1) evaluate the effectiveness of digital training for building resilience and reducing anxiety, depressive and stress symptoms and (2) to identify essential features for designing future digital training. A three-step search was conducted in eight electronic databases, trial registries and grey literature to locate eligible studies. Randomised controlled trials examining the effects of digital training aimed at enhancing resilience were included. Data analysis was conducted using the Stata version 17. Twenty-two randomised controlled trials involving 2876 participants were included. Meta-analysis revealed that digital training significantly enhanced the participants' resilience with moderate to large effect (g = 0.54-1.09) at post-intervention and follow-up. Subgroup analyses suggested that training delivered via the Internet with a flexible programme schedule was more effective than its counterparts. This review supports the use of digital training in improving resilience. Further high-quality randomised controlled trials with large sample size are needed.

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSION

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

Public Health Approaches to Promoting University Students' Mental Health: A Global Perspective

PURPOSE OF REVIEW

Provide a critical overview of recent global advances in student mental health from a public health perspective, highlighting key challenges and gaps in the literature.

RECENT FINDINGS

Mental disorders and suicidality are common among university students globally. However, there is a significant treatment gap even though evidence-based treatments are available. To overcome barriers to treatment, public health interventions should be conceptualized within a developmental paradigm that takes cognizance of the developmental tasks of young adulthood. Traditional one-on-one treatment approaches will not be a cost-effective or sustainable way to close the treatment gap among students. A range of evidence-based interventions is available to promote students' mental health; however, novel approaches are needed to scale up services and adapt intervention delivery to suit student specific contexts. Digital interventions and peer-to-peer interventions could be a cost-effective way to scale-up and expand the range of services.

Association of Outpatient Behavioral Health Treatment With Medical and Pharmacy Costs in the First 27 Months Following a New Behavioral Health Diagnosis in the US

IMPORTANCE

Outpatient behavioral health treatment (OPBHT) is an effective treatment for behavioral health conditions (BHCs) that may also be associated with improved medical health outcomes, but evidence regarding the cost-effectiveness of OPBHT across a large population has not been established.

OBJECTIVE

To investigate whether individuals newly diagnosed with a BHC who used OPBHT incurred lower medical and pharmacy costs over 15 and 27 months of follow-up compared with those not using OPBHT.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study of commercially insured individuals in the US was conducted using administrative insurance claims data for individuals newly diagnosed with 1 or more BHCs between January 1, 2017, and December 31, 2018. Data were examined using a 12-month period before BHC diagnosis and 15- and 27-month follow-up periods. Participants included individuals aged 1 to 64 years who received any OPBHT with or without behavioral medication or who did not receive OPBHT or behavioral medication in the 15 months following diagnosis. Data were analyzed from May to October 2021.

EXPOSURES

Receipt of OPBHT both as a dichotomous variable and categorized by number of OPBHT visits.

MAIN OUTCOMES AND MEASURES

The main outcome was the association between OPBHT treatment and 15- and 27-month medical and pharmacy costs, assessed using a generalized linear regression model with γ distribution, controlling for potential confounders.

RESULTS

The study population included 203 401 individuals, of whom most were male (52%), White, non-Hispanic (75%), and 18 to 64 years of age (67%); 22% had at least 1 chronic medical condition in addition to a BHC. Having 1 or more OPBHT visits was associated with lower adjusted mean per-member, per-month medical and pharmacy costs across follow-up over 15 months (no OPBHT: $686 [95% CI, $619-$760]; ≥1 OPBHT: $571 [95% CI, $515-$632]; P < .001) and 27 months (no OPBHT: $464 [95% CI, $393-$549]; ≥1 OPBHT: $391 [95% CI, $331-$462]; P < .001). Furthermore, almost all doses of OPBHT across the 15 months following diagnosis were associated with lower costs compared with no OPBHT.

CONCLUSIONS AND RELEVANCE

In this cohort study, medical cost savings were associated with OPBHT among patients newly diagnosed with a BHC in a large, commercially insured population. The findings suggest that promoting and optimizing OPBHT may be associated with reduced overall medical spending among patients with BHCs.

Social media-based interventions for adolescent and young adult mental health: A scoping review

Background

Mental health conditions are common among adolescents and young adults, yet few receive adequate mental health treatment. Many young people seek support and information online through social media, and report preferences for digital interventions. Thus, digital interventions deployed through social media have promise to reach a population not yet engaged in treatment, and at risk of worsening symptoms.

Objective

In this scoping review, we aimed to identify and review empirical research on social media-based interventions aimed at improving adolescent and young adult mental health. A secondary objective was to identify the features and functionalities of platforms described as social media.

Methods

Adhering to the PRISMA-ScR guidelines for scoping reviews, the search was conducted in PubMed MEDLINE; Embase Central Register of Controlled Trials (Wiley); PsycINFO (Ebsco); Scopus; Web of Science; IEEE Xplore; ACM Digital Library; and ClinicalTrials.gov from inception until November 2021. Studies were included if they involved adolescents or young adults (10-26 years of age) that meet clinical, or subclinical, levels of a mental health condition and include a pre- and post-assessment of mental health outcomes.

Results

Among the 18,380 references identified, 15 met full inclusion criteria and were published between 2017 and 2021-this included four randomized controlled trials, seven non-randomized pre-post trials, and four were experimental or quasi-experimental designs. Just five studies were delivered through an existing social media site (Facebook or Pixtori), with the remainder focused on purpose-built networks. Three studies involved adolescents or young adults who self-reported a mental health condition, seven involved young people diagnosed with a mental health condition by a clinician or who scored above a clinical threshold on valid clinical measure, three involved college students without a mental health inclusion criterion, and two studies focused on young people with a cancer diagnosis.

Conclusions

The review highlights innovations in the delivery of mental health interventions, provides preliminary evidence of the ability of social media interventions to improve mental health outcomes, and underscores the need for, and merit of, future work in this area. We discuss opportunities and challenges for future research, including the potential to leveragei existing peer networks, the use of just-in-time interventions, and scaling interventions to meet need.