Innovative Technology-Based Interventions to Reduce Stigma Toward People With Mental Illness: A Systematic Review and Meta-Analysis. (Preprint)

Learning about depression by watching gaming videos: a case study on the potential of digital games for psychoeducation and destigmatization

Introduction

People with depression can also suffer from stigmatization related to depression. Psychoeducation is one way to alleviate stigmatization (destigmatization), so that particularly people without depression become more aware of depressive symptoms and can empathize better with depressed people. Here, we scrutinize the potential of digital games to support psychoeducation and destigmatization of depression.

Methods

We conducted a mixed methods online study with 117 participants. In the intervention phase, participants watched gaming videos and noted down aspects that had left a lasting impression on them. In the evaluation phase, we used open-ended items and qualitative content analysis to investigate participants' learning outcomes. We used quantitative scales to examine different facets of participants' learning motivation, their narrative engagement, and destigmatization types.

Results

Watching gaming videos resulted in several learning outcomes, including cognitive as well as emotional effects. Given a high general learning motivation regarding the topic depression and moderate narrative engagement in our sample, participants also reported strong conviction that such games can be an interesting and relevant medium to learn about depression. A multiple regression analysis revealed that 51% of variance in participants' personal thoughts about depression could be explained by our proposed model. Males had a higher personal stigma than females. Personal stigma was also negatively related to participants' depression literacy and their general learning motivation regarding the topic depression.

Discussion

Our findings indicate that watching videos of digital games can support psychoeducation and destigmatization by reaching a broad audience and sensitizing people about mental illnesses such as depression.

Technology-Based Interventions for Promoting Well-Being in Childhood and Adolescence: A Systematic Review and Meta-Analysis

BACKGROUND

Well-being is crucial for children's and adolescents' mental health. Despite numerous interventions, innovative technological options are still underexplored, particularly for younger populations. This study aims to review, summarize, and discuss experimental studies on the effects of technological interventions on well-being in childhood and adolescence.

METHOD

We conducted a systematic review and meta-analysis following PRISMA guidelines, including studies published since 2013. Searches were conducted in PubMed, PsycInfo, Scopus, and Web of Science including randomized and non-randomized controlled trials. The quality of studies was assessed using the Cochrane Risk of Bias (ROB-2) and ROBINS-I tools. Meta-analyses were performed using R studio.

RESULTS

Of the 2705 articles screened by title and abstract, 55 underwent full-text review. Seventeen articles were included, showing a diversity of technology-based interventions, including apps, web-based intervention, digital intervention, and chatbots. The meta-analysis (n = 5636 participants) showed a small but statistically significant effect in promoting well-being (Hedges's g = 0.18; p < .01). App-based interventions demonstrated a notably larger effect size (Hedges's g = 0.33; p < .001).

CONCLUSIONS

The findings highlight a range of technological interventions for promoting well-being in children and adolescents, with apps showing greater effectiveness. This supports their use as valuable resources for this population.

Scaling out a Digital-First Behavioral Health Care Model to Primary Care

There is an established supply/demand problem in addressing behavioral health needs. A proposed solution is to have primary care providers respond to patients' behavioral health challenges directly. The current study describes the adaptation and evaluation process of Precision Behavioral Health (PBH), a digital-first behavioral health care model with provider-referral to an ecosystem of digital interventions. User-centered design strategies used to adapt the PBH program included applying process to system-level behaviors, defining target users and their needs, defining workflows, rapid prototyping cycles, and a complimentary mixed-methods iterative development phase with a pilot trial. Twenty-one primary care providers, 164 medical assistants and check out staff, and 45 nursing staff were trained as part of the pilot. The RE-AIM implementation framework was used for evaluation. Fourteen primary care providers participated in a semi-structured interview to provide feedback on their experience. The adapted PBH program reached 39.54% of primary care patients seen by the pilot providers during the timeframe. Providers offered PBH to 76.63% of the patients reached, and 26.10% accepted the PBH referral. Out of the accepted patients, 78.15% registered, 73.95% activated their digital intervention, and 59.09% showed clinical improvement in outcomes. Nineteen (90.48%) pilot providers adopted PBH and referred a median of 2 patients each week. Medical assistants/check out staff scheduled 5% of digital care navigator appointments and 84.03% of provider follow up appointments. Primary care providers used the program's clinical decision support tool to aid their discussion and referral process with 95.33% of patients that accepted PBH and selected one of the top 3 recommended tools 95% of the time. Qualitative results identified six broad content categories: Overall PBH referral experience, PBH training, PBH eligibility flag, PBH follow-up appointment workflow, impacts of PBH program on providers, and future modifications. Providers described a positive experience with PBH elements, low burden, positive impact on their jobs, and PBH enhancing treatment options for their patients. Primary care providers identified several adaptations, such as expanding PBH to other types of visits (e.g., sick visits), and optimizing workflow for check-out staff when booking follow-up appointments. Primary care providers are willing and able to successfully refer patients to behavioral health digital interventions with minimal training time for onboarding. Patients referred through primary care demonstrate high acceptance rates, and comparable rates of improvement to those that are referred by licensed behavioral health providers. The results have the potential to impact public health, by increasing behavioral health access for patients without adding burden to providers, and providing healthcare organizations an alternative pathway to address increasing needs without having to increase personnel or introduce major organizational changes.

Estimating the Prevalence of Schizophrenia in the General Population of Japan Using an Artificial Neural Network-Based Schizophrenia Classifier: Web-Based Cross-Sectional Survey

Background

Estimating the prevalence of schizophrenia in the general population remains a challenge worldwide, as well as in Japan. Few studies have estimated schizophrenia prevalence in the Japanese population and have often relied on reports from hospitals and self-reported physician diagnoses or typical schizophrenia symptoms. These approaches are likely to underestimate the true prevalence owing to stigma, poor insight, or lack of access to health care among respondents. To address these issues, we previously developed an artificial neural network (ANN)-based schizophrenia classification model (SZ classifier) using data from a large-scale Japanese web-based survey to enhance the comprehensiveness of schizophrenia case identification in the general population. In addition, we also plan to introduce a population-based survey to collect general information and sample participants matching the population's demographic structure, thereby achieving a precise estimate of the prevalence of schizophrenia in Japan.

Objective

This study aimed to estimate the prevalence of schizophrenia by applying the SZ classifier to random samples from the Japanese population.

Methods

We randomly selected a sample of 750 participants where the age, sex, and regional distributions were similar to Japan's demographic structure from a large-scale Japanese web-based survey. Demographic data, health-related backgrounds, physical comorbidities, psychiatric comorbidities, and social comorbidities were collected and applied to the SZ classifier, as this information was also used for developing the SZ classifier. The crude prevalence of schizophrenia was calculated through the proportion of positive cases detected by the SZ classifier. The crude estimate was further refined by excluding false-positive cases and including false-negative cases to determine the actual prevalence of schizophrenia.

Results

Out of 750 participants, 62 were classified as schizophrenia cases by the SZ classifier, resulting in a crude prevalence of schizophrenia in the general population of Japan of 8.3% (95% CI 6.6%-10.1%). Among these 62 cases, 53 were presumed to be false positives, and 3 were presumed to be false negatives. After adjustment, the actual prevalence of schizophrenia in the general population was estimated to be 1.6% (95% CI 0.7%-2.5%).

Conclusions

This estimated prevalence was slightly higher than that reported in previous studies, possibly due to a more comprehensive disease classification methodology or, conversely, model limitations. This study demonstrates the capability of an ANN-based model to improve the estimation of schizophrenia prevalence in the general population, offering a novel approach to public health analysis.

Interventions to decrease health students' stigma toward schizophrenia: A scoping review

BACKGROUND

Schizophrenia is heavily stigmatized among health professionals. Given that health professional students are future members of the workforce and will provide care for people with schizophrenia, it is essential to implement interventions aimed at reducing stigma among this group.

OBJECTIVE

This scoping review aimed to identify and synthesize existing literature on interventions to decrease schizophrenia stigma among health professional students, and to determine the possible gaps in the literature.

DESIGN

Nine electronic databases and gray literature were searched, including PubMed, Embase, the Cumulative Index to Nursing and Allied Health Literature, PsycINFO, MEDLINE, Web of Science, Scopus, China National Knowledge Infrastructure, WanFang, and Google on 5 May 2023. Two researchers independently conducted data screening, data extraction, and assessed study risks. A most updated search was also done on 22 May 2024. The Cochrane risk of bias tool version 2 for randomized trials and Risk of Bias in Non-randomized Studies were used to assess the studies' risk of bias. Data synthesis and analysis were conducted by two reviewers using a narrative approach. Reporting adhered to Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews.

RESULTS

This review included twenty-one studies with 2520 health professional students. The majority of included studies were non-randomized controlled trials (38 %) and pre-post studies (52 %). Most of the included studies were conducted in the United States (24 %). The participants in ten (48 %) studies were medical students. The number of intervention sessions ranged from one to 13, with an average of three. Seven (33 %) studies had an intervention duration of less than four weeks and 16 (76 %) studies had no follow-up. Various scales were used to assess the outcomes of schizophrenia stigma. Only two studies (10 %) indicated the intervention's ineffectiveness, with the majority of interventions led by psychiatry department faculty and individuals with schizophrenia.

CONCLUSIONS

Most studies (90 %) utilized various approaches, including face-to-face or online education, direct contact with individuals with schizophrenia, or a combination thereof, to diminish stigma among health professional students. However, none addressed cultural and empathy factors in their intervention designs, and the included studies lacked theoretical guidance. The review only comprised English quantitative studies with significant heterogeneity, with 17 studies (81 %) displaying serious or high risk of bias, limiting comprehensive discussions. These findings offer valuable insights for future systematic review.

TWEETABLE ABSTRACT

Studies on reducing health professional students' schizophrenia stigma need to address cultural and empathy factors.

Conceptualization and characterization of "primary" and "secondary" cognitive impairment in schizophrenia

Cognitive impairment represents one of the core features of schizophrenia, involves both neurocognition and social cognition domains, and has a significant negative impact on real-world functioning. The present review provides a framework for the conceptualization and characterization of "primary" and "secondary" cognitive impairment in schizophrenia. In this conceptualization, primary cognitive impairment can be defined as a consequence of the neurobiological alterations that underlie psychopathological manifestations of the disorder, while secondary cognitive impairment can be defined as the results of a source issue that has a negative impact on cognitive performance. Sources of secondary cognitive impairment are frequent in people with schizophrenia and include several different factors, such as positive and negative symptoms, depressive symptoms, autistic symptoms, pharmacotherapy, substance abuse, metabolic syndrome, social deprivation, and sleep disorders. It can be hypothesized that secondary cognitive impairment may be improved by effectively resolving the source issue, while primary cognitive impairment may benefit from dedicated treatment. Further research is required to confirm this hypothesis, to better characterize the distinction between primary and secondary cognitive impairment in a clinical and in a neurobiological perspective, and to evaluate the impact of systematically assessing and treating secondary cognitive impairment.

Effectiveness of educational interventions in reducing the stigma of healthcare professionals and healthcare students towards mental illness: A systematic review and meta-analysis

AIM

To examine the effectiveness of educational interventions in reducing stigma among healthcare professionals and students towards people with mental illness.

DESIGN

A systematic review and meta-analysis of randomized controlled trials (RCTs) and cluster RCTs.

DATA SOURCES

Articles published from database inception to October 2023 were systematically searched from seven databases (CINAHL, Embase, ProQuest Dissertations and Theses Global, PsycINFO, PubMed, Scopus, Web of Science), following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

METHODS

Random-effect meta-analyses were conducted. Heterogeneity was evaluated using the I2 statistics and Cochran's Q chi-squared test. A quality appraisal conducted at the study level used the Cochrane risk of bias tool and an outcome-level quality assessment utilized the Grades of Recommendation, Assessment, Development and Evaluation Approach. Publication bias was assessed using the funnel plot.

RESULTS

Twenty-five articles were included in this review. Meta-analysis reported statistically significant medium and small effect sizes for attitudes towards mental illness and attitudes towards people with mental illness respectively, showing the association between educational interventions and improved attitudes among healthcare professionals and students. However, a statistically non-significant effect was reported for knowledge of mental illness. Subgroup analyses indicated that face-to-face and contact-based interventions were particularly effective at reducing stigma. Notably, single-session interventions were just as effective as multiple sessions, suggesting a potential for resource-efficient approaches.

CONCLUSION

Educational interventions demonstrate promise in fostering more positive attitudes towards mental health issues. Future research should aim to determine the long-term effects of these interventions and include patient feedback on the stigmatizing behaviours of healthcare professionals and students, to holistically evaluate the effect of interventions.

NO PATIENT OR PUBLIC CONTRIBUTION

This study is a secondary review and does not require relevant contributions from patients or the public. WHAT DOES THIS PAPER CONTRIBUTE TO THE WIDER GLOBAL CLINICAL COMMUNITY?: Face-to-face contact-based educational sessions have proven to be the most effective. Reinforcing learning may be achieved through a series of repeated single-session interventions.

Exploring the perspectives and practices of humanitarian actors towards the Participation Revolution in humanitarian digital health responses: a qualitative study

BACKGROUND

As crises escalate worldwide, there is an increasing demand for innovative solutions to enhance humanitarian outcomes. Within this landscape, digital health tools have emerged as promising solutions to tackle certain health challenges. The integration of digital health tools within the international humanitarian system provides an opportunity to reflect upon the system's paternalistic tendencies, driven largely by Global North organisations, that perpetuate existing inequities in the Global South, where the majority of crises occur. The Participation Revolution, a fundamental pillar of the Localisation Agenda, seeks to address these inequities by advocating for greater participation from crisis-affected people in response efforts. Despite being widely accepted as a best practice; a gap remains between the rhetoric and practice of participation in humanitarian response efforts. This study explores the extent and nature of participatory action within contemporary humanitarian digital health projects, highlighting participatory barriers and tensions and offering potential solutions to bridge the participation gap to enhance transformative change in humanitarian response efforts.

METHODS

Sixteen qualitative interviews were conducted with humanitarian health practitioners and experts to retrospectively explored participatory practices within their digital health projects. The interviews were structured and analysed according to the Localisation Performance Measurement Framework's participation indicators and thematically, following the Framework Method. The study was guided by the COREQ checklist for quality reporting.

RESULTS

Varied participatory formats, including focus groups and interviews, demonstrated modest progress towards participation indicators. However, the extent of influence and power held by crisis-affected people during participation remained limited in terms of breadth and depth. Participatory barriers emerged under four key themes: project processes, health evidence, technology infrastructure and the crisis context. Lessons for leveraging participatory digital health humanitarian interventions were conducting thorough pre-project assessments and maintaining engagement with crisis-affected populations throughout and after humanitarian action.

CONCLUSION

The emerging barriers were instrumental in shaping the limited participatory reality and have implications: Failing to engage crisis-affected people risks perpetuating inequalities and causing harm. To advance the Participation Revolution for humanitarian digital health response efforts, the major participatory barriers should be addressed to improve humanitarian efficiency and digital health efficacy and uphold the rights of crisis-affected people.

Can an app increase health literacy and reduce the stigma associated with obsessive-compulsive disorder? A crossover randomized controlled trial

BACKGROUND

Obsessive-compulsive disorder (OCD) is a disabling condition with a high delay in seeking treatment. esTOCma is an app developed to increase mental health literacy (MHL) about OCD, reduce stigma, and increase the intention to seek professional treatment. It is a serious game and participants are asked to fight against the "OCD stigma monster" by accomplishing 10 missions. The aim of this study is to evaluate the effectiveness of this app in a community sample.

METHODS

A randomized controlled trial with a crossover design was carried out. Participants were randomized to two groups: immediate use (iApp, n = 102) and delayed use (dApp, n = 106) of esTOCma. The iApp group started using the app at baseline until the game was over. The dApp group initiated at 10-days until the game finished. Participants were requested to complete a set of questionnaires at baseline and 10-day, 20-day and 3-month follow-ups.

RESULTS

The Time×Group interaction effect was significant for the primary outcome measures: there was an increase in MHL and intention to seek help, and a decrease in stigma and OC symptoms, with large effect sizes, only after using the app. Changes were maintained (or increased) at follow-up.

LIMITATIONS

The study did not include an active control group and some of the scales showed low internal consistency or a ceiling effect.

CONCLUSIONS

This study provides first evidence for the effectiveness of esTOCma as a promising intervention to fight stigma and reduce the treatment gap in OCD.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT04777292. Registered February 23, 2021, https://clinicaltrials.gov/ct2/show/NCT04777292.

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.

Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns

OBJECTIVE

Psychiatric evaluation suffers from subjectivity and bias, and is hard to scale due to intensive professional training requirements. In this work, we investigated whether behavioral and physiological signals, extracted from tele-video interviews, differ in individuals with psychiatric disorders.

METHODS

Temporal variations in facial expression, vocal expression, linguistic expression, and cardiovascular modulation were extracted from simultaneously recorded audio and video of remote interviews. Averages, standard deviations, and Markovian process-derived statistics of these features were computed from 73 subjects. Four binary classification tasks were defined: detecting 1) any clinically-diagnosed psychiatric disorder, 2) major depressive disorder, 3) self-rated depression, and 4) self-rated anxiety. Each modality was evaluated individually and in combination.

RESULTS

Statistically significant feature differences were found between psychiatric and control subjects. Correlations were found between features and self-rated depression and anxiety scores. Heart rate dynamics provided the best unimodal performance with areas under the receiver-operator curve (AUROCs) of 0.68-0.75 (depending on the classification task). Combining multiple modalities provided AUROCs of 0.72-0.82.

CONCLUSION

Multimodal features extracted from remote interviews revealed informative characteristics of clinically diagnosed and self-rated mental health status.

SIGNIFICANCE

The proposed multimodal approach has the potential to facilitate scalable, remote, and low-cost assessment for low-burden automated mental health services.

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.

Reducing Stigma Toward People with Serious Mental Illness Through a Virtual Reality Intervention: A Randomized Controlled Trial

Background: Stigma toward people with serious mental illnesses (SMI), like schizophrenia, is a serious global public health challenge that limits the quality of life of those affected and poses a major barrier that keeps people from seeking professional help. There is an urgent need for novel, effective, and scalable interventions to decrease stigmatized perceptions of chronic psychotic disorders and to reduce the health burden imposed by them. Method: We conducted a randomized controlled trial to assess the impact of a new immersive virtual reality game (Inclúyete-VR) on the level of stigma toward people with SMI, measured by the Attribution questionnaire (AQ-27). Participants in the experimental group were exposed in an immersive way to hallucinations common in schizophrenia, then shown different psychosocial resources available for their recovery and social inclusion; those in the control group used VR software unrelated to mental health. VR sessions were delivered through Oculus headgear and lasted 25 minutes. Results: We randomly assigned 124 university students (55% female) to experimental or control conditions (n = 62 each). We used mixed ANOVA to compare outcomes before and after the intervention between the two groups. We found a significant intervention-by-time interaction (P < 0.001), with a reduction in the experimental group of overall stigma levels on the AQ-27 scale and its three subscales: dangerousness-fear, avoidance, and lack of solidarity (P < 0.001 for all). Conclusions: The Inclúyete-VR software proved effective in the short term in reducing stigma toward people with severe mental illness. The program's longer-term efficacy, scalability, and dissemination remain to be studied. ClinicalTrials.gov Identifier: NCT05393596.

Effectiveness of digital games promoting young people's mental health: A review of reviews

Objectives

Digital games are a popular form of entertainment for youth. They are often used as a therapy for psychological problems, a mental health promotion intervention, and a preventative measure. Systematic reviews and meta-analyses have been conducted to assess the effectiveness of mental health-related digital games. However, a synthesis considering all evaluation results to inform their development is missing.

Methods

We performed a review of reviews to synthetize results of previous research to describe the impact of digital games on the mental health of young people aged <30 years old. We considered systematic reviews and meta-analyses published between 2012 and 2022. Searches were conducted in Scopus, Google Scholar, Pubmed, and Cochrane library systematic reviews (CENTRAL) during October 2023.

Results

Our final selection included 10 systematic reviews and meta-analyses on interventions targeting youth of both sexes aged 2-29 years old across the world. In total, 218 interventions were identified. Selected articles reported different types of games, e.g., active and non-active video games, virtual reality games, serious games. Not all digital games were conscientiously evaluated, but, in general, their impact on mental health was positive. Regarding the quality, 5 studies were of high quality, 3 of moderate quality and 2 of low quality.

Conclusions

Overall, elements of gamification were well-accepted, but they lacked assessment through rigorous experimental conditions. Digital games for mental health are promising, but in order to be consistently effective in promoting young people's mental health and prevent psychological diseases, they should present specific features.

Digital Interventions to Enhance PrEP Uptake and Adherence Through Stigma Reduction

PURPOSE OF REVIEW

Although pre-exposure prophylaxis (PrEP) is effective for reducing risk of HIV transmission, stigma persists as a barrier to HIV prevention. Digital technologies present opportunities to access hard-to-reach populations and increase the efficiency of established interventions. This review examines current digital interventions addressing stigma to improve PrEP-related outcomes.

RECENT FINDINGS

Digital technologies are increasingly used for HIV prevention and include a wide range of formats. Recent interventions focused on stigma and PrEP tend to engage mobile phone-related technology and focus on younger populations with particular attention to men who have sex with men and transgender women. Digital interventions that address stigma are promising for improving PrEP-related outcomes. No single technology currently demonstrates consistent superiority. Limited access to PrEP and heightened stigma in under-resourced countries present challenges for interventions supporting diverse communities. Further research should examine how digital interventions can reduce stigma beyond the individual level to enhance PrEP use and explore opportunities to improve and integrate approaches to stigma measurement.

Multimodal mental health assessment with remote interviews using facial, vocal, linguistic, and cardiovascular patterns

Objective

The current clinical practice of psychiatric evaluation suffers from subjectivity and bias, and requires highly skilled professionals that are often unavailable or unaffordable. Objective digital biomarkers have shown the potential to address these issues. In this work, we investigated whether behavioral and physiological signals, extracted from remote interviews, provided complimentary information for assessing psychiatric disorders.

Methods

Time series of multimodal features were derived from four conceptual modes: facial expression, vocal expression, linguistic expression, and cardiovascular modulation. The features were extracted from simultaneously recorded audio and video of remote interviews using task-specific and foundation models. Averages, standard deviations, and hidden Markov model-derived statistics of these features were computed from 73 subjects. Four binary classification tasks were defined: detecting 1) any clinically-diagnosed psychiatric disorder, 2) major depressive disorder, 3) self-rated depression, and 4) self-rated anxiety. Each modality was evaluated individually and in combination.

Results

Statistically significant feature differences were found between controls and subjects with mental health conditions. Correlations were found between features and self-rated depression and anxiety scores. Visual heart rate dynamics achieved the best unimodal performance with areas under the receiver-operator curve (AUROCs) of 0.68-0.75 (depending on the classification task). Combining multiple modalities achieved AUROCs of 0.72-0.82. Features from task-specific models outperformed features from foundation models.

Conclusion

Multimodal features extracted from remote interviews revealed informative characteristics of clinically diagnosed and self-rated mental health status.

Significance

The proposed multimodal approach has the potential to facilitate objective, remote, and low-cost assessment for low-burden automated mental health services.

Self-stigma in schizophrenia: a systematic review and meta-analysis of 37 studies from 25 high- and low-to-middle income countries

In schizophrenia, it is currently thought that stigma experience is increased by psychotic and depressive symptomatology, exposure to stigma at the workplace, and that self-stigma levels vary across countries without knowing the factors explaining these variations. The aim of the present meta-analysis was to synthetize the data of observational studies comprehensively exploring multiple self-stigma dimensions and associated factors. A systematic literature search without language or time restrictions was conducted in Medline, Google Scholar, and Web of Science for studies, last 09/2021. Eligible studies that included ≥80% of patients diagnosed with schizophrenia-spectrum disorders and used a validated scale measuring self-stigma dimensions were meta-analysed using random-effects models, followed by subgroup and meta-regression analyses. Study registration: PROSPERO CRD42020185030. Overall, 37 studies (n = 7717) from 25 countries (5 continents) published between 2007 and 2020 were included, with 20 studies conducted in high-income countries. These studies used two scales with total scores ranging 1-4. The mean estimate of perceived stigma was 2.76 [95% confidence interval (CI) = 2.60-2.94], experienced stigma 2.29 [95% CI = 2.18, 2.41], alienation 2.40 [95% CI = 2.29, 2.52], stereotype endorsement 2.14 [95% CI = 2.03, 2.27], social withdrawal 2.28 [95% CI = 2.17, 2.39] and stigma resistance 2.53 [95% CI = 2.43, 2.63]). Self-stigma levels did not reduce over time. Living outside urban areas, low-income, singleness, unemployment, high antipsychotic dose and low functioning were associated with different stigma dimensions. Some stigma dimensions were lower in studies carried out in Europe compared to other regions. Most studies published since 2007 report that self-stigma is a particular concern for a specific subgroup of patients. This subgroup is characterized by unemployment, high antipsychotic dose and low functioning. We identified important other missing factors that should be explored to improve the effectiveness of public policies and personalized interventions to reduce self-stigma. Importantly, classical illness severity indices (psychotic severity, age at illness onset, illness duration) and sociodemographic variables (age, sex and education) were not associated with self-stigma, moderating previous findings.

Establishing a Care Continuum for Cardiometabolic Conditions for Patients with Serious Mental Illness

PURPOSE OF REVIEW

Addressing cardiometabolic risk factors in persons with serious mental illness requires early screening and proactive medical management in both medical and mental health settings.

RECENT FINDINGS

Cardiovascular disease remains the leading cause of death for persons with serious mental illness (SMI), such as schizophrenia or bipolar disorder, much of which is driven by a high prevalence of metabolic syndrome, diabetes, and tobacco use. We summarize barriers and recent approaches to screening and treatment for metabolic cardiovascular risk factors within physical health and specialty mental health settings. Incorporating system-based and provider-level support within physical health and psychiatric clinical settings should contribute to improvement for screening, diagnosis, and treatment for cardiometabolic conditions for patients with SMI. Targeted education for clinicians and leveraging multi-disciplinary teams are important first steps to recognize and treat populations with SMI at risk of CVD.

Mental health problems, health risk behaviors, and prevention: A qualitative interview study on perceptions and attitudes among elite male soccer players

Background

The purpose of this study was to investigate the perception of mental health problems and health risk behaviors among Swedish male elite soccer players and their attitudes toward possible prevention strategies.

Method

Twenty elite soccer players, aged 15-30 years, were recruited through purposive sampling and interviewed via a digital video calling platform. A semi-structured interview guide, encompassing questions about mental health problems, health risk behaviors among soccer teams, peer-relations, relations to coaches, and attitudes toward health risk behaviors, along with proposals for effective interventions, was employed. The interviews were transcribed verbatim and analyzed with qualitative content analysis.

Results

The informants reported positive feelings in relation to playing soccer, good health, and few health risk behaviors. Risk factors included a large income, excessive free time, and the need for excitement. Stress and mental health problems were linked to performance pressure, social media, and injuries. Hesitation to talk openly about personal problems due to concerns about negative consequences and the "macho culture" was highlighted as barriers to admit and seek help for personal problems. Some statements indicated openness and the club's efforts to destigmatize personal problems. Positive attitudes toward prevention and suggestions for various measures were prominent.

Conclusion

Future research and implementation of interventions should focus on the prevention of health risk behaviors and alleviation of stress and performance pressure, as well as continue the efforts to destigmatize mental health problems and raise awareness among coaches of the importance of their communication and behavior for players' mental health and performance. This could be achieved by developing strategic and systematic policy work, information, and dialogue among players and coaches, in addition to individual digital or face-to-face support, provided by professionals outside the soccer context.