Technology-Based Interventions to Improve Help-Seeking for Mental Health Concerns: A Systematic Review

The effect of a universal mobile application on adolescents' mental health and well-being

Opp is a universal mental health-promoting mobile application (app) developed for adolescents, with the aim of promoting mental health and well-being and preventing mental health problems. In this randomized controlled trial, the effectiveness of Opp was tested among Norwegian adolescents aged 13 to 25 years. Mental health, well-being, self-efficacy, self-esteem, help-seeking behavior, and sleep quality were assessed at two measurement points (T1 and T2), that were approximately 11 weeks apart. Only the participants that answered at both measurement points were included in the main analyses (N = 399; 75 % girls; Mage = 16.90 years, SD = 1.40). The results demonstrated a statistically significant effect of the app on mental health, as measured by the SDQ Total Difficulties scale (F(1,790) = 4.35, p = .037), while no statistically significant effects were observed on the other outcomes. These results provide important insights, and a broader understanding of how mental health apps can influence the mental health and well-being of a general sample of adolescents.

Digital Assessment of Wellbeing in New Parents (DAWN-P): protocol of a randomised feasibility trial comparing digital screening for maternal postnatal depression with usual care screening

BACKGROUND

Meta-analyses indicate that 17% of mothers experience postnatal depression (PND) in the year following childbirth, with suicide the leading cause of direct maternal death between 6 weeks and 12 months postpartum. The consequences and costs of PND are particularly high due to impacts on infants as well as parents. If detected, PND usually responds well to psychological treatment and/or medication but national reports indicate > 50% of cases are undetected. To improve detection, we developed a digital screening system (CareLoop PND) whereby mothers use an app to monitor their mood daily using a validated measure (Edinburgh Postnatal Depression Scale; EPDS), with real-time responses uploaded to a secure server. In this paper, we describe the protocol of a study to determine feasibility of delivering a full-scale RCT comparing digital screening with standard NHS practice.

METHODS

In this single-blind randomised feasibility trial, participants (n = 80) will be recruited during late pregnancy from two NHS maternity services and randomised (1:1) to receive CareLoop PND alongside their usual NHS care, or usual care alone. Those in the experimental arm will use the CareLoop PND app daily from ≥ 36 weeks' pregnancy until 8 weeks postpartum. During this period, participants scoring above EPDS screening thresholds (via the app or standard care) will be assessed to confirm diagnosis. True positive PND cases identified by digital screening will be referred to services for support. A blinded researcher will conduct follow-up assessments using clinical and health economic measures at 8 weeks and 6 months postpartum. At 8 weeks postpartum, experimental arm participants will also provide qualitative and quantitative feedback exploring app usability, acceptability, and implementation. Feasibility of delivering a full-scale RCT will be evaluated using a priori criteria relating to app engagement, study retention and completion of candidate primary outcome measures.

CONCLUSIONS

Digital screening could increase appropriate referral to perinatal mental health care. However, prior to roll out in NHS services, evidence of efficacy and cost-effectiveness is needed. The current study protocol will determine whether a full-scale RCT examining efficacy and cost-effectiveness is feasible and will inform the design of such a trial.

TRIAL REGISTRATION

Prospective ISRCTN registration (03/07/23): ISRCTN10781027; https://www.isrctn.com/ISRCTN10781027 .

The application of metaverse in mental health

Rapid technological progress is reshaping human existence globally. The metaverse, a 3D digital realm merging virtual reality (VR) with physical space, exemplifies this fusion. Users can replicate and customize real-world elements within this immersive environment. Over the past decade, VR, augmented reality (AR), and mixed reality (MR) have become effective tools for addressing mental health conditions, offering solutions to the shortage of mental health professionals and limited access to care. However, extensive participation in 3D immersive gaming and social media can lead to insecurity, anxiety, depression, and addictive behaviors, particularly among young adults. This engagement may also impair attention spans, exacerbating symptoms in adolescents with attention deficit hyperactivity disorder. This research examines the impact of expanding metaverse applications on mental health, exploring both risks and benefits.

The effect of the 'Every Mind Matters' campaign on mental health literacy: the moderating roles of socioeconomic status and ethnicity

We previously reported short-lived improvements in mental health literacy following the Every Mind Matters campaign, followed by a return to baseline levels. In this study, we aimed to examine whether either socioeconomic status or ethnicity moderated these improvements. We conducted regression analyses on a nationally representative, repeated cross-sectional dataset of nine survey waves from September 2019 to March 2022. Interaction terms (ethnicity*wave, socioeconomic status*wave) were entered into regression models to assess the moderating effect of these variables. Where significant interactions emerged, we obtained marginal estimates and plotted them for ease of interpretation. We found no evidence that improvements seen in mental health literacy following the launch of Every Mind Matters were moderated by ethnicity or socioeconomic status. Over time, there was some evidence of lower scores relating to symptoms recognition, knowledge of actions to improve mental health, and desire for social distance (stigma) among adults of lower socioeconomic status, which converged again for symptom recognition. These findings suggest that while a web resource can empower people and improve mental health literacy, in relation to ethnicity and socioeconomic status, it may be that while this can avoid a widening of inequalities it is insufficient to lead to a narrowing of them.

Preliminary Evaluation of an Indigenous Mental Health App for Indian Users

Background The digital health sector has witnessed significant growth in recent years. There are many mental health apps available in virtual stores for Indian users; however, there is a dearth of research on the same. The present study aimed at a preliminary examination of the usability, acceptability, and perceived gains of an indigenously developed app (MindNotes, National Institute of Mental Health and Neuro Sciences, Bengaluru, India) for common mental health concerns. Method A short-term prospective design was employed. A sample of 190 community participants completed a baseline survey and were suggested to explore the app for two weeks. The baseline survey examined self-reports of current common mental health concerns, their duration and perceived severity, and their commitment to try the app during the study period. The inclination to seek help from a mental health professional was inquired into using a seven-point Likert scale. A post-assessment survey was conducted in the third week to capture the extent of app exploration, frequency of usage, and ratings of the participants on perceived usefulness, engaging nature, ease of navigation, likelihood of future use, and recommending the app to others. The item on inclination to seek help from a mental health professional was repeated. Perceived gains were examined through responses to a checklist. In addition to descriptive statistics such as frequencies and percentages for identifying patterns of responses to various items, correlational analysis was used to examine relationships between ease of navigation and the engaging nature of the app with the extent of exploration and the likelihood of future use of the app. The Mann-Whitney U test was used to examine the difference in the extent of app exploration between subgroups with varying levels of baseline commitment to use the app, while the Wilcoxon signed-rank test was used to examine changes in help-seeking inclination from baseline to post-assessment. Predictors of help-seeking inclination at post-assessment were examined through a hierarchical regression analysis. Result Based on the responses to the survey items, the app was found to be easy to navigate and engaging by 83 (76.2%) and 84 (77.1%) participants, respectively, and received moderate to high ratings from 95 participants (87.2%) on perceived usefulness. The extent of app exploration significantly predicted improvement in help-seeking inclination at post-assessment in a subgroup of participants reporting common mental health concerns. Conclusion The findings of this preliminary study support the usability, potential usefulness, and acceptability of MindNotes, a multi-module mental health app for common mental health concerns developed for Indian users. There is a high treatment gap for common mental health problems in India, which is partly attributable to various barriers to seeking professional help, including stigma. The study results suggest that the MindNotes app may have utility in improving the inclination to seek professional help in individuals experiencing common mental health concerns and thereby may serve as one of the approaches to address the treatment gap.

Mental health apps in India: regulatory landscape and future directions

Mental health apps (MHAs) are increasingly popular in India due to rising mental health awareness and app accessibility. Despite their benefits, like mood tracking, sleep tools and virtual therapy, MHAs lack regulatory oversight. India's framework, including the Central Drugs Standard Control Organization (CDSCO) and Medical Device Rules 2017, does not cover standalone health apps, raising concerns about data privacy and accuracy. Establishing a centralised regulatory body with guidelines for MHAs is essential for user safety and efficacy. This paper examines the current regulatory landscape, compares international approaches and proposes a tiered regulatory framework to foster responsible innovation while safeguarding user interests in digital mental health services.

Factors Influencing Help-seeking Behavior for Mental Health Among Distressed Young Adults: A Path Analysis Model

Background

There seems to be a relationship between barriers of distress-perception and stigma to consult a mental health professional (MHP), help-seeking inclination from MHP, help negation, and encouragement from significant others (SO) to consult MHP in bringing about a change in help-seeking behavior. However, these have not been studied in tandem. This study aimed to explore the relationship between factors influencing help-seeking behavior among distressed, non-treatment-seeking young adults (D-NTS) for common mental health concerns following the ReachOut intervention.

Methods

A total of 109 D-NTS aged 20-35 engaged with ReachOut were recruited online using purposive and snowball sampling. ReachOut was aimed at enhancing professional help-seeking. Participants were assessed at baseline and one month post-intervention for help-seeking barriers, inclination, and encouragement from SO. Help-seeking behavior from MHP was evaluated at a two-month follow-up. Inferential statistics in the form of Spearman's rho correlation, logistic regression, and path analysis were computed.

Results

Regression analysis revealed a significant model (χ2 = 34.53, P < .001) with an R2 value of 0.52. Help-seeking inclination from MHP (B = 0.711, P = .037), help negation (B = -0.452, P = .039), and encouragement from SO to consult MHP (B = 1.942, P = .008) at post-assessment were significant predictors of help-seeking behavior, assessed at follow-up. The SEM hypothesized for path analysis with help-seeking behavior as the outcome was a good fit.

Conclusion

Help-seeking decisions are complex processes influenced by an intricate interplay of internal and external factors. A comprehensive examination of these elements simultaneously provides valuable insights for tailoring interventions and strategies aimed at enhancing help-seeking behavior in D-NTS young adults.

Trial registration

The intervention trial was registered in the ISRCTN registry (ISRCTN14504454).

Help-seeking intention for mental illness and associated factors among Dessie town residents in Northeast Ethiopia

Despite the increasing global burden of mental illness and the availability of effective evidence-based treatments, many individuals with mental illness do not seek professional help. Therefore, this study aimed to assess help-seeking intention for mental illness and associated factors among Dessie town residents, Northeast Ethiopia, 2021. A community-based cross-sectional study was conducted among 501 Dessie town residents. The data were collected by face-to-face interview. The General Help Seeking Questionnaire was used to assess help-seeking intention. Bivariable and multivariable logistic regression analysis techniques were used. Finally, a statistically significant level was declared at a p-value less than 0.05. Among 501 participants, 67.5% were likely to seek help from health professionals. Being female (AOR = 4.695, 95% CI = 1.63- 13.50), being single (AOR = 0.330, 95% CI = 0.12-0.89), and having good knowledge (AOR = 3.030, 95% CI = 1.25-7.35) were significantly associated with help-seeking intention. This study indicated that the participants' help-seeking intention was inadequate. Sex, marital status, monthly income, and knowledge of mental illness were found to be associated with help-seeking intentions for mental illnesses. Therefore, community healthcare workers, healthcare administrators, and religious and community leaders should work to enhance the help-seeking intention of the community.

Effectiveness of Technology-Delivered Psychosocial Interventions for Family Caregivers of Patients With Dementia: A Systematic Review, Meta-Analysis and Meta-Regression

Family caregivers living with patients with dementia (PwD) face psychological challenges due to care burden. Technology-delivered psychosocial interventions (TPIs) have played a promising role in improving health outcomes among family caregivers living with PwD. This review aims to synthesise evidence of the effectiveness of TPIs on primary (burden and depression) and secondary outcomes (self-efficacy, stress and anxiety) for family caregivers living with PwD. Random-effects meta-analyses were performed to determine effect size. Using Cochran's Q and I2 tests, statistical heterogeneity was evaluated. Sensitivity, subgroup analyses and meta-regression were employed to explain statistical heterogeneity. Twenty-eight trials comprising 4160 family caregivers from eight countries were included. Our meta-analysis revealed that TPIs resulted in slight reduction in depression, probably resulted in a slight reduction in burden and anxiety and slight increase in self-efficacy. Subgroup differences were detected in geographical regions (Western Pacific and Southeast Asia) for burden. While there were no significant subgroup differences in other factors, TPIs with preventive function and mobile applications had a more prominent larger effect size. Meta-regression analysis showed that attrition rate was a significant moderator on depression. Results are limited by the high risk of bias of included trials, which may reduce certainty of evidence. This review suggest TPIs are recommended as an adjunct treatment for alleviating burden and depressive outcomes in healthcare institutions. PROSPERO Registration Number: PROSPERO (CRD42023387962).

Crowdsourcing integrated into a digital mental health platform for anxiety and depression: A pilot randomized controlled trial

Background

Anxiety and depression are major public health concerns. Digital mental health interventions (DMHIs) are effective at reducing anxiety and depression, especially when they leverage human support. However, DMHIs that rely on human supporters tend to be less scalable. "Crowdsourced peer support," in which a "crowd" of many peers provides users support via structured and focused interactions, may enable DMHIs to provide some of human support's unique benefits at scale.

Objective

To conduct a pilot trial of two versions of a digital mental health intervention for anxiety and depression: one with crowdsourced peer support and one without.

Methods

We conducted a two-armed pilot randomized controlled trial examining two versions of the novel "Overcoming Thoughts" platform: crowdsourced (intervention) vs. non-crowdsourced (control). The crowdsourced version allowed participants to view and interact with other users' content. We randomly assigned 107 participants to use the crowdsourced (n = 56) or non-crowdsourced (n = 51) platform for 8 weeks. Participants completed assessments at baseline, 4 weeks, 8 weeks, and 16 weeks. At each time point, these assessments included measures of anxiety and depression, including the Depression, Anxiety, and Stress Scale (DASS, primary outcome), the Patient Health Questionnaire (PHQ-9, secondary outcome), and the Generalized Anxiety Disorder Questionnaire (GAD-7, secondary outcome). We also collected usage information, including the number of exercises started, and safety data.

Results

Using mixed models controlling for demographic factors, we compared the conditions' effectiveness in reducing depression and anxiety over time. Although we found significant drops over time in the DASS at both Week 8 and Week 16 (ps < 0.01), we did not find significant treatment x time interactions (Week 8, p = 0.35; Week 16, p = 0.68). The PHQ-9 and GAD-7 showed similar results. The median number of times participants used the platform was 3 (mean = 6.99, SD = 9.78). Greater platform use was not associated with a different change in DASS total score, PHQ-9 score, or GAD-7 score over eight weeks (ps > 0.10).

Conclusions

Neither version of the "Overcoming Thoughts" platform (crowdsourced or non-crowdsourced) reduced anxiety or depression significantly more than the other. Future work should investigate how digital platforms can better leverage crowdsourced support, and if crowdsourced support may be especially useful in certain kinds of systems, populations, or target areas. Optimizing intervention engagement and obtaining the large sample sizes needed for appropriate statistical power will be key challenges for similar studies.NCT: 04226742.

The impact of media-based mental health campaigns on male help-seeking: a systematic review

More than half of all men do not seek professional help for depression, suicide and anxiety. Although media-based campaigns represent a promising health promotion intervention to improve male help-seeking, it is unclear what communication strategies in extant mental health media-based campaigns are effective for men. The aim of this systematic review was to synthesize information about the effectiveness of these campaigns on male help-seeking outcomes. A search was conducted of electronic databases and gray literature. Studies were eligible if they examined the effectiveness of a media-based campaign targeting male help-seeking attitudes, beliefs, intentions or behaviors in relation to mental disorders, distress, suicide or self-harm. Twenty-two studies of varying quality met the eligibility criteria. Most studies targeting mental health or depression were found to positively influence male help-seeking. There were mixed results for suicide prevention campaigns. Some evidence suggests that overall, brochure-based campaigns impact help-seeking. The use of male or mixed-gender campaign imagery produced similar results. The choice of message framing appeared to influence help-seeking outcomes. Despite substantial heterogeneity in campaign approaches and difficulties isolating the effects of campaign delivery from messaging, the review indicates that media-based campaigns can play a role in improving male help-seeking for mental health difficulties. Mounting evidence suggests that messaging and delivery should align with male communication preferences. However, high-quality, targeted research is required to evaluate the circumstances in which various campaign delivery and messaging components are effective in improving male help-seeking for poor mental health and suicidality.

The Effectiveness of a Cell Phone eHealth App in Changing Knowledge, Stigmatizing Attitudes, and Intention to Seek Help Associated With Obsessive-Compulsive Disorder: Pilot Questionnaire Study

BACKGROUND

Obsessive-compulsive disorder (OCD) is a disabling disorder associated with high interference in people's lives. However, patients with OCD either do not seek help or delay seeking help. Research suggests that this could be explained by poor mental health literacy about the disorder and the associated stigma.

OBJECTIVE

This study aims to evaluate the feasibility, acceptability, and preliminary effectiveness of a mental health mobile app, esTOCma, developed to improve knowledge about OCD and its treatment, increase help-seeking intention, and reduce stigmatizing attitudes and social distance associated with OCD.

METHODS

We used preintervention, postintervention, and 3-month follow-up assessments in this single-arm pilot intervention. Overall, 90 participants were recruited from the community using the snowball sampling method. We used esTOCma to defeat the "stigma monster" over the course of 10 missions. The participants completed the sociodemographic information and Obsessive-Compulsive Inventory-Revised at preassessment and an acceptability questionnaire at postassessment. All other measures were completed at the preassessment, postassessment, and 3-month follow-up (ie, the Spanish Mental Illness Stigma Attribution Questionnaire-27, the General Help-Seeking Questionnaire, the Social Distance Scale, and the Mental Health Literacy Questionnaire).

RESULTS

Of the 90 participants from the community that were assessed for eligibility, 86% (n=78) were allocated to intervention. Of these 78 participants, 79% (n=62) completed the game and answered the postintervention assessment (completer group). Overall, 69% (43/62) of the participants also completed the 3-month follow-up assessment. The participants completing the study were older (P=.003) and had a higher baseline knowledge of OCD (P=.05). The participants took an average of 13.64 (SD 10.50) days to complete the intervention, including the pre- and postassessments. The participants spent an average of 4.56 (SD 3.33) days completing the 10 missions included in the app. Each mission took a mean of between 2 (SD 3.01) and 9.35 (SD 3.06) minutes. The app was rated as useful or very useful by the vast majority of participants 90% (56/62). Moreover, 90% (56/62) of the participants reported that they had learned or learned a lot, and 98% (61/62) of the participants reported that they would recommend the app to a friend. Repeated measures ANOVA (43/62, 69%) showed that after the intervention participants showed an increased knowledge of mental health and intention to seek help as well as fewer stigmatizing attitudes and less social distance.

CONCLUSIONS

Preliminary data show that esTOCma is a feasible and acceptable app, and after completing its 10 missions, there is an increase in the understanding of OCD and help-seeking intention along with a decrease in the social stigma and social distance associated with OCD that lasts for at least 3 months. The results support the potential of technology-based interventions to increase the intention to seek help and reduce the stigma associated with OCD. A larger, community-controlled study is also recommended.

Closing the accessibility gap to mental health treatment with a personalized self-referral chatbot

Inequality in treatment access is a pressing issue in most healthcare systems across many medical disciplines. In mental healthcare, reduced treatment access for minorities is ubiquitous but remedies are sparse. Here we demonstrate that digital tools can reduce the accessibility gap by addressing several key barriers. In a multisite observational study of 129,400 patients within England's NHS services, we evaluated the impact of a personalized artificial intelligence-enabled self-referral chatbot on patient referral volume and diversity in ethnicity, gender and sexual orientation. We found that services that used this digital solution identified substantially increased referrals (15% increase versus 6% increase in control services). Critically, this increase was particularly pronounced in minorities, such as nonbinary (179% increase) and ethnic minority individuals (29% increase). Using natural language processing to analyze qualitative feedback from 42,332 individuals, we found that the chatbot's human-free nature and the patients' self-realization of their need for treatment were potential drivers for the observed improvement in the diversity of access. This provides strong evidence that digital tools may help overcome the pervasive inequality in mental healthcare.

"ReachOut": Pilot Evaluation of a Help-Seeking Intervention for Common Mental Health Concerns Among Distressed Non-Treatment-Seeking Young Adults

Purpose There is a pressing need for interventions with the potential for scalability to enhance help-seeking inclination and behavior among individuals experiencing common mental health concerns. These interventions are important for addressing the widespread treatment gap. This study aimed to test the effectiveness, feasibility, and acceptability of a newly developed simple technology-based multi-component help-seeking intervention ("ReachOut") for common mental health concerns among distressed, non-treatment-seeking young adults. Methods "ReachOut" was delivered to 172 young adults aged 20-35 years, scoring above the cut-off on the Kessler Psychological Distress scale. Effectiveness was studied using a single-group short-term prospective study design to examine changes in help-seeking barriers, inclination, and behavior. We assessed intervention feasibility in terms of demand, implementation, practicality, and limited efficacy and acceptability was determined based on the rate of participation consent, the extent of pro-active initiation of contact with the facilitator during the intervention, feedback obtained on various "ReachOut" components and ratings on the likelihood of recommending the intervention to a person in distress. Results Significant reductions in the mean barriers and improvement in mean help-seeking inclination from mental health professionals (MHPs) were observed on the Friedman test from baseline to the two-month follow-up period after the intervention. Thirty-eight percent of participants (N=41) reported seeking help from MHPs by two-month follow-up. Feedback from participants, assessments, and observations indicated that "ReachOut" was feasible and acceptable among the target sample. Conclusions The study provides preliminary evidence of the effectiveness, feasibility, and acceptability of the help-seeking intervention "ReachOut" in reducing barriers and improving help-seeking inclination and behavior for common mental health concerns among distressed non-treatment-seeking young adults.

Miscarriage Australia: the use of a human centered design approach to design and develop a website for those affected by miscarriage

Background

Past research has shown that Australians affected by miscarriage want a website specific to both miscarriage and their local region that is accessible, comprehensive, evidence-based and informed by experts. The aim of this study was to design, develop and evaluate the Miscarriage Australia website using human centered design.

Methods

A four stage human centered design approach was used to develop the Miscarriage Australia website which aimed to: (1) Understand the issue and why users need a website; (2) Define users' specific needs; (3) Design solutions to meet those needs; and (4) Evaluate the design by testing with end users. Across the four stages, various types of data and data analysis were developed and utilized including interviews, desktop research, development of personas and tone of voice, followed by usability testing. Process and content were guided by designers, developers and an expert advisory committee of key stakeholders.

Results

Analysis and synthesis of user research across Stages 1 and Stage 2 found 11 key themes pertaining to user's miscarriage experiences and support needs. Using the themes, common experiences, goals, motivations and behaviors of users were identified and similar user types grouped and used to inform the development of two personas. Using the personas and user research findings, design elements (Stage 3) including the "tone of voice guidelines" were developed recommending the Miscarriage Australia website be calm, empathetic, hopeful and authoritative. The tone of voice guidelines guided branding and over 100 pages of content was informed by the research team and reviewed by a 13-member Expert Clinical Advisory Committee over two rounds to ensure it was evidence based and reflected best practice. Using a contextual inquiry approach, usability testing was undertaken with 8 end users to test a low fidelity mockup and high-fidelity prototype of the website. Overall, end users reported the website was highly acceptable in terms of the design, content, layout, language and terminology, describing it in line with the intended tone of voice. Users reported the website was easy to use and navigate and provided useful and appropriate content and resources. Minor areas for improvement included slight changes to specific images, improved links for navigating sections, and a title change to one section heading.

Conclusion

The Miscarriage Australia website was successfully implemented and commended by users as meeting their needs. As a result of using human centered design, the Miscarriage Australia website provides an ideal template or blueprint on how to develop a successful and useful digital resource for users, particularly around sensitive women's health issues.

The impact of an annual mass media campaign on treatment seeking for alcohol use disorders in the Danish population: An interrupted time-series analysis

INTRODUCTION

A minority of individuals with alcohol use disorder (AUD) seek treatment. In Denmark, a mass media campaign, "RESPEKT", aiming to increase treatment seeking, has been broadcasted nationwide since 2015. The campaign is unique from an international perspective. Similar interventions have, up until now, not been scientifically evaluated.

AIM

To investigate whether there was an association between campaign periods and treatment seeking for AUD. A secondary aim was to investigate possible gender differences. The hypotheses were that treatment seeking would increase during the campaign periods, and that men would increase their treatment seeking more compared to women.

METHOD

Study design: Interrupted time-series analysis.

PARTICIPANTS

Adults aged 18 years and above in the Danish population seeking AUD treatment.

EXPOSURE

Campaign periods year 2015-2018.

OUTCOME

Changes in treatment seeking defined as treatment entry respectively filled prescription of AUD pharmacotherapy.

DATA

National Alcohol Treatment Register on treatment entries for specialist addiction care and National Prescription Registry for filled prescriptions on AUD pharmacotherapies 2013-2018.

ANALYSIS

Segmented negative binomial regression, including the full cohort and stratified by sex.

RESULTS

The results show no association between campaign periods and treatment seeking. Nor were there any gender differences in treatment seeking. The hypotheses were not confirmed.

CONCLUSION

The campaign periods showed no association with treatment seeking. Eventual future campaigns should possibly focus on earlier steps of the treatment seeking process, as problem recognition, to increase treatment seeking. There is a great need to develop other ways to narrow the treatment gap for AUD.

Development of a Technology-Based Intervention to Improve Help-Seeking in Distressed Non-Treatment-Seeking Young Adults With Common Mental Health Concerns

Background There is a dearth of interventions aimed at improving help-seeking for common mental health concerns among distressed young adults, particularly in the urban Indian context. Availability of cost-effective, targeted intervention for improving appropriate help-seeking can pave the way for reducing the treatment gap. This could prove especially beneficial in low-resource settings. This study describes the guiding principles, underlying theory, and development process of a simple technology-based help-seeking intervention for distressed non-treatment-seeking young adults. Methods Several models of professional help-seeking behavior were examined to ascertain a suitable theoretical framework for the development of the intervention to enable help-seeking among distressed non-treatment-seeking young adults. Pilot work was carried out before the development, along with content validation of the intervention by field experts. Results Help-seeking intervention was developed based on the preferences of young adults and literature review. Eight core intervention components and one optional component were developed, which were built on selected theoretical frameworks. These components have been postulated to enhance awareness of common mental health problems, the utility of self-help, and support of significant others, and to increase the skills to understand when it may be appropriate to step up to professional help-seeking. Conclusion Help-seeking interventions delivered beyond the traditional clinic and hospital setups prove useful as low-intensity interventions acting as gateways to seek mainstream mental health services. Further research will evaluate the feasibility, acceptability, and effectiveness of the intervention in reducing perceived barriers and enhancing inclination to seek professional help and help-seeking behavior among distressed non-treatment-seeking young adults.

Personalised depression forecasting using mobile sensor data and ecological momentary assessment

Introduction

Digital health interventions are an effective way to treat depression, but it is still largely unclear how patients' individual symptoms evolve dynamically during such treatments. Data-driven forecasts of depressive symptoms would allow to greatly improve the personalisation of treatments. In current forecasting approaches, models are often trained on an entire population, resulting in a general model that works overall, but does not translate well to each individual in clinically heterogeneous, real-world populations. Model fairness across patient subgroups is also frequently overlooked. Personalised models tailored to the individual patient may therefore be promising.

Methods

We investigate different personalisation strategies using transfer learning, subgroup models, as well as subject-dependent standardisation on a newly-collected, longitudinal dataset of depression patients undergoing treatment with a digital intervention ( N = 65 patients recruited). Both passive mobile sensor data as well as ecological momentary assessments were available for modelling. We evaluated the models' ability to predict symptoms of depression (Patient Health Questionnaire-2; PHQ-2) at the end of each day, and to forecast symptoms of the next day.

Results

In our experiments, we achieve a best mean-absolute-error (MAE) of 0.801 (25% improvement) for predicting PHQ-2 values at the end of the day with subject-dependent standardisation compared to a non-personalised baseline ( MAE = 1.062 ). For one day ahead-forecasting, we can improve the baseline of 1.539 by 12 % to a MAE of 1.349 using a transfer learning approach with shared common layers. In addition, personalisation leads to fairer models at group-level.

Discussion

Our results suggest that personalisation using subject-dependent standardisation and transfer learning can improve predictions and forecasts, respectively, of depressive symptoms in participants of a digital depression intervention. We discuss technical and clinical limitations of this approach, avenues for future investigations, and how personalised machine learning architectures may be implemented to improve existing digital interventions for depression.

Internet-based interventions to promote help-seeking for mental health in LGBTQ+ young adults: Protocol for a randomized controlled trial

Background

Compared to its cis-heterosexual counterpart, the sexual and gender minority (SGM) population is disproportionately susceptible to mental health problems, including depression, anxiety, and minority stress. They are also facing unique help-seeking barriers when in need of support. Past research has shown promising results in using interventions to promote help-seeking intentions and attitudes of the cis-heterosexual population. However, there were no known help-seeking interventions targeting the SGM population. This protocol illustrates a study design to test the efficacy of a newly-developed internet-based program aimed to promote help-seeking for mental health in LGBTQ+ young adults.

Methods

This study is a randomized controlled trial that aims to promote and improve the SGM young adults' help-seeking by integrating animated psychoeducational videos, group discussion, and the SGM youth help-seeking brochure. Primary outcomes, including help-seeking intentions and attitudes, will be measured at baseline, post-intervention, one-month post-intervention, and three-month post-intervention. The secondary outcomes, including help-seeking stigma, help-seeking literacy, mental health literacy, and help-seeking behaviors, will be measured at the same time points.

Discussion

This is an internet-based, multi-dimensional, and integrative intervention tailored to the needs of the SGM population. It addresses an important gap in the current landscape of mental health promotion for the SGM population. The findings from this trial will provide new knowledge on promoting help-seeking among the SGM population, paving the road for future research that focuses on addressing mental health issues faced by the SGM population.

Trial registration

Chictr.org.cn: ChiCTR2100053248.

Learnings from user feedback of a novel digital mental health assessment

Digital mental health interventions (DMHI) have the potential to address barriers to face-to-face mental healthcare. In particular, digital mental health assessments offer the opportunity to increase access, reduce strain on services, and improve identification. Despite the potential of DMHIs there remains a high drop-out rate. Therefore, investigating user feedback may elucidate how to best design and deliver an engaging digital mental health assessment. The current study aimed to understand 1304 user perspectives of (1) a newly developed digital mental health assessment to determine which features users consider to be positive or negative and (2) the Composite International Diagnostic Interview (CIDI) employed in a previous large-scale pilot study. A thematic analysis method was employed to identify themes in feedback to three question prompts related to: (1) the questions included in the digital assessment, (2) the homepage design and reminders, and (3) the assessment results report. The largest proportion of the positive and negative feedback received regarding the questions included in the assessment (n = 706), focused on the quality of the assessment (n = 183, 25.92% and n = 284, 40.23%, respectively). Feedback for the homepage and reminders (n = 671) was overwhelmingly positive, with the largest two themes identified being positive usability (i.e., ease of use; n = 500, 74.52%) and functionality (i.e., reminders; n = 278, 41.43%). The most frequently identified negative theme in results report feedback (n = 794) was related to the report content (n = 309, 38.92%), with users stating it was lacking in-depth information. Nevertheless, the most frequent positive theme regarding the results report feedback was related to wellbeing outcomes (n = 145, 18.26%), with users stating the results report, albeit brief, encouraged them to seek professional support. Interestingly, despite some negative feedback, most users reported that completing the digital mental health assessment has been worthwhile (n = 1,017, 77.99%). Based on these findings, we offer recommendations to address potential barriers to user engagement with a digital mental health assessment. In summary, we recommend undertaking extensive co-design activities during the development of digital assessment tools, flexibility in answering modalities within digital assessment, customizable additional features such as reminders, transparency of diagnostic decision making, and an actionable results report with personalized mental health resources.