Mental Health Care Treatment Research Articles

Schizophrenia and the COVID-19 pandemic: A narrative review from the biomedical perspective.

The outbreak of the Coronavirus Disease 2019 (COVID-19) pandemic in 2020 caused a rapid worsening of global mental health. Patients with severe mental disorders, including schizophrenia, are at higher risk of being infected. The neuroinvasive potential of the severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) has been confirmed. The aim of this article was to present a narrative and comprehensive review of multidimensional associations between schizophrenia and COVID-19 with special emphasis on common biological pathways. Online searches were performed in the PubMed database and covered the publication period until September 17, 2022. Search terms included "psychosis", "schizophrenia", "inflammation" and "COVID-19". Viewed as a neuroinflammatory state, schizophrenia shares several neurobiological mechanisms with the COVID-19. Environmental stress, common comorbidities of schizophrenia and adverse effects of antipsychotic treatment are associated with the higher severity and mortality of the COVID-19. Additionally, more frequent relapses of psychosis have been observed, and might be related to lower treatment adherence. In the context of clinical manifestation, higher level of negative symptoms has been identified among patients with schizophrenia during the pandemic. Improvements in mental health care policy and treatment adjustment are necessary to protect people with schizophrenia who are the population that is particularly vulnerable to the consequences of the COVID-19 pandemic. Future research will show if prenatal infection with the SARS-CoV-2 increases a risk of psychosis.

Predictors need for complementary interventions using mobile application technology in women with breast cancer

Background. Some women with breast cancer tend to have psycho-social stress, embarrassment from the disease’s treatment, and difficulty asking for help. Furthermore, several studies indicate limited use of complementary online intervention in mental and spiritual health care, particularly when using mobile-based technologies.
 Purpose. This study identifies the key factors that affect the need for mobile-app complementary interventions and the variables affecting them among Indonesian breast cancer patients.
 Methods. A cross-sectional survey study with a simple random sampling technique included 112 patients between May and July 2022. The research instrument used is The Quality of Life-Breast Cancer questionnaire, Functional Assessment of Chronic Illness Therapy–Spiritual Well-Being (FACIT-Sp), Palliative Performa Scale Version 2, and The Need for Complementary Interventions using mobile-app technology (NCIM) to measure Predictors of The Need for Complementary Interventions. Meanwhile, multiple linear stepwise regression was used, and the potential multicollinearity effects among NCIM predictive variables were assessed through the collinearity analysis of variable inflation factors.
 Results. The mean score of NCIM was 25.17 and ranged from 10 to 40, and multiple regression analysis showed that the psychological and social dimensions of quality of life, as well as Facit-Sp, significantly affected the NCIM. This explains 8.5% of the total variance in the need for Mobile-app Complementary Intervention.
 Conclusion. Women with breast cancer have a high need for complementary interventions based on mobile technology. This study can provide the development of complementary intervention using mobile application technology.
 

Shared sorrow, shared costs: cost-effectiveness analysis of the Empowerment group therapy approach to treat affective disorders in refugee populations.

Refugees and asylum seekers (RAS) in Germany need tailored and resource-oriented mental healthcare interventions. To evaluate the cost-effectiveness of group psychotherapy for RAS with moderate depressive symptoms. This is a post hoc cost-effectiveness analysis of Empowerment group psychotherapy that was embedded in a stratified stepped and collaborative care model (SCCM) from the multicentre randomised controlled MEHIRA trial. One hundred and forty-nine participants were randomly assigned to SCCM or treatment as usual (TAU) and underwent Empowerment (i.e. level 3 of the SCCM for adults) or TAU. Effects were measured with the nine-item Patient Health Questionnaire (PHQ-9) and quality adjusted life-years (QALY) post-intervention. Health service and intervention costs were measured. Incremental cost-effectiveness ratios (ICER) were estimated and net monetary benefit (NMB) regressions with 95% confidence intervals were performed. Cost-effectiveness was ascertained for different values of willingness to pay (WTP) using cost-effectiveness acceptability curves for probable scenarios. Trial registration number: NCT03109028 on ClinicalTrials.gov. Health service use costs were significantly lower for Empowerment than TAU after 1 year. Intervention costs were on average €409.6. Empowerment led to a significant change in PHQ-9 scores but not QALY. Bootstrapped mean ICER indicated cost-effectiveness according to PHQ-9 and varied considerably for QALY in the base case. NMB for a unit reduction in PHQ-9 score at WTP of €0 was €354.3 (€978.5 to -€269.9). Results were confirmed for different scenarios and varying WTP thresholds. The Empowerment intervention was cost-effective in refugees with moderate depressive symptoms regarding the clinical outcome and led to a reduction in direct healthcare consumption. Concerning QALYs, there was a lack of confidence that Empowerment differed from TAU.

Emotion assessment and application in human–computer interaction interface based on backpropagation neural network and artificial bee colony algorithm

Emotion assessment is a challenging task in the human–computer interaction interface. Previous studies have examined the relationship between emotion and color, but they fail to accurately analyze emotional semantics due to the numerous elements in human–computer interaction interfaces. As a result, a combination model of a backpropagation neural network (BPNN) and an artificial bee colony algorithm (ABC) was presented in this paper to predict the emotion semantics of the human–computer interaction interface. The mechanism of generating the weights and thresholds for each layer of BPNN was converted to the search for an optimal honey source. Meanwhile, according to experiment results and evaluation of elements in human–computer interaction interfaces, this paper has assessed the relationships amongst the eight key elements (ratio of graphics to text, color difference, color distribution, color harmony, theme style, white space ratio, frame style, number of colors) and emotion word pairs (moderation-fancy, calm-pleasure, confusing-clear, cold-kind, coarse-elegant). Furthermore, an emotion application database was established to determine how the amalgamation of critical elements affects the users’ feelings about the human–computer interaction interface to help designers build a user-centric interface. Finally, the database can be applied to relieve mental health problems by meeting the psychological expectations of users as mental healthcare intervention during the COVID-19 pandemic. Also, it can help designers to design a pleasurable visual interaction interface for a particular element to convey health-related information and protective measures.

Using digital technology to promote physical health in mental healthcare: A sequential mixed-methods study of clinicians' views.

Recent years have seen innovation in 'mHealth' tools and health apps for the management/promotion of physical health and fitness across the general population. However, there is limited research on how this could be applied to mental healthcare. Therefore, we examined mental healthcare professionals' current uses and perceived roles of digital lifestyle interventions for promoting healthy lifestyles, physical health and fitness in youth mental healthcare. A sequential, mixed-methods design was used, consisting of a quantitative online survey, followed by qualitative in-depth interviews. A total of 127 mental healthcare professionals participated in the online survey. Participants had limited mHealth experience, and the majority agreed that further training would be beneficial. Thirteen mental healthcare professionals were interviewed. Five themes were generated (i) digital technology's ability to enhance the physical healthcare; (ii) Conditions for the acceptability of apps; (iii) Limitations on staff capability and time; (iv) Motivation as the principal barrier; and (v) Practicalities around receiving lifestyle data. Systematic integration of data produced novel insights around: (i) staff involvement and needs; (ii) ideal focus and content of digital lifestyle interventions; and (iii) barriers towards implementation (including mental healthcare professionals own limited experience using digital lifestyle interventions, which aligned with the appeal of formal training). Overall, digital lifestyle interventions were positively received by mental healthcare professionals, particularly for health behaviour-tracking and mHealth support for exercise and nutrition. Practical suggestions for facilitating their uptake/implementation to improve availability of physical health interventions in mental healthcare are presented.

Exploring Digital Therapeutics: Game-Based and eHealth Interventions in Mental Health Care: Potential, Challenges, and Policy Implications

This all-encompassing manuscript delves into a thorough examination of the prevailing case of inquiry regarding the utilization of games and eHealth promotions for the betterment of mental health treatment. At the core of the investigation are crucial motifs, such as the theoretical fundamentals behind digital therapeutics, their machinery, long-standing repercussions, inclusion and equity, hodological contemplations, and policy ramifications. The paper follows an orderly analysis technique, linking with both qualitative and quantitative studies from diverse databases to scrutinize the effectiveness and safety of game-based and eHealth interventions in mental health care. The comprehensive inspection reveals potential behavioral, emotional, and cognitive transformations brought about by these interventions, as well as their effects on mental well-being. In addition, the paper explores the therapies' long-term impact, their safety for those with severe mental illnesses, and their accessibility and appropriateness for a variety of demographics. What sets this appraisal apart is its focus on hodological aspects, exploring how these interventions might influence the interconnectivity of different brain regions. The manuscript's verdicts expose the substantial potential of games and eHealth interventions in mental health care, all while warning to exercise caution due to gaps in wisdom surrounding their prolonged impacts and safety. Furthermore, it raises substantial questions regarding inclusion, equity, and accessibility in the application of these digital therapies. To conclude, the paper underlines the necessity for more scrupulous, tactful research to determine the effectiveness and safety of these interventions, implying the importance of considering ethical and implementation aspects for policymakers. Despite the potential of these digital therapies, the manuscript stresses the prerequisite for continued research to guarantee the mental health of patients is looked after and amplified. The principle of economic efficiency is laid out in § 12 V of the German Social Code (SGB, Sozialgesetzbuch), which states that the benefits provided “must be sufficient, appropriate, and cost-effective and must not exceed the necessary.”In this manuscript, we argue that game-based and eHealth interventions in mental health care are effective, safe, have a long-term impact, and are inclusive. These digital interventions have the potential to contribute to better mental health outcomes, possibly at a lower cost than traditional therapies, and to be accessible to a variety of demographics, increasing the efficiency of resource use in mental health care, which leads to the economic efficiency of these digital interventions. However, the text also highlights shortcomings in understanding their long-term effects and safety, raising important questions for health economics and policy like cost-effectiveness over the long term and the economic implications of implementing these digital therapies in a safe and equitable manner. As suggested by the text, additional research is required to address these issues and make sure that the application of these interventions conforms to the principle of economic efficiency as stated in § 12 SGB.

Gender-Affirming Care, Incarceration, and the Eighth Amendment.

As outlined in Estelle v Gamble (1976), the 8th Amendment to the US Constitution requires that states provide adequate care for people who are incarcerated-but what constitutes "acceptable" care under professional guidelines is frequently at odds with the standard of care used by clinicians outside of carceral facilities. Outright denial of standard care runs afoul of the Constitutional prohibition on cruel and unusual punishment. As the evidence base that undergirds standards of care in transgender health has evolved, people who are incarcerated have sued to expand access to mental health and general health care, including hormonal and surgical interventions. Carceral institutions must transition from lay administrative to licensed professional oversight of patient-centered, gender-affirming care.

Adherence to Clinical Guidelines for Dose Finding and Monitoring Methylphenidate Use: A Medical Record Audit in Child and Adolescent Mental Health Care and Pediatric Settings.

Background: Guideline adherence is important to ensure optimal and safe use of methylphenidate for children and adolescents with attention-deficit/hyperactivity disorder (ADHD). We investigated adherence to Dutch guidelines regarding dosing and monitoring of methylphenidate in child and adolescent mental health care and pediatric treatment settings. Methods: Five hundred six medical records of children and adolescents were investigated in 2015 and 2016. We assessed adherence to the following guideline recommendations: (1) at least four visits during the dose-finding phase; (2) monitoring thereafter at least every 6 months; (3) measuring height and weight at least annually; and (4) the use of validated questionnaires to assess treatment response. Pearson's chi-squared test statistics were used to examine differences between settings. Results: Only a small portion of patients had at least four visits during the dose-finding phase (5.1% in the first 4 weeks to 12.4% in the first 6 weeks). Also, less than half of the patients (48.4%) were seen at least every 6 months. Height was recorded at least annually in 42.0% of patients, weight in 44.9%, and both recorded in a growth chart in 19.5%. Questionnaires to assess treatment response were only used in 2.3% of all visits. When comparing both settings, more patients in the pediatric settings were seen every 6 months, although height and weight were recorded more often in the mental health care setting. Conclusion: Overall, guideline adherence was low. Training of clinicians and adding guideline recommendations to electronic medical records templates may improve adherence. Additionally, we should aim to close the gap between guidelines and clinical practice by looking critically at the feasibility of guidelines.

An Integrative Engagement Model of Digital Psychotherapy: Exploratory Focus Group Findings.

Digital mental health interventions, such as 2-way and asynchronous messaging therapy, are a growing part of the mental health care treatment ecosystem, yet little is known about how users engage with these interventions over the course of their treatment journeys. User engagement, or client behaviors and therapeutic relationships that facilitate positive treatment outcomes, is a necessary condition for the effectiveness of any digital treatment. Developing a better understanding of the factors that impact user engagement can impact the overall effectiveness of digital psychotherapy. Mapping the user experience in digital therapy may be facilitated by integrating theories from several fields. Specifically, health science's Health Action Process Approach and human-computer interaction's Lived Informatics Model may be usefully synthesized with relational constructs from psychotherapy process-outcome research to identify the determinants of engagement in digital messaging therapy. This study aims to capture insights into digital therapy users' engagement patterns through a qualitative analysis of focus group sessions. We aimed to synthesize emergent intrapersonal and relational determinants of engagement into an integrative framework of engagement in digital therapy. A total of 24 focus group participants were recruited to participate in 1 of 5 synchronous focus group sessions held between October and November 2021. Participant responses were coded by 2 researchers using thematic analysis. Coders identified 10 relevant constructs and 24 subconstructs that can collectively account for users' engagement and experience trajectories in the context of digital therapy. Although users' engagement trajectories in digital therapy varied widely, they were principally informed by intrapsychic factors (eg, self-efficacy and outcome expectancy), interpersonal factors (eg, the therapeutic alliance and its rupture), and external factors (eg, treatment costs and social support). These constructs were organized into a proposed Integrative Engagement Model of Digital Psychotherapy. Notably, every participant in the focus groups indicated that their ability to connect with their therapist was among the most important factors that were considered in continuing or terminating treatment. Engagement in messaging therapy may be usefully approached through an interdisciplinary lens, linking constructs from health science, human-computer interaction studies, and clinical science in an integrative engagement framework. Taken together, our results suggest that users may not view the digital psychotherapy platform itself as a treatment so much as a means of gaining access to a helping provider, that is, users did not see themselves as engaging with a platform but instead viewed their experience as a healing relationship. The findings of this study suggest that a better understanding of user engagement is crucial for enhancing the effectiveness of digital mental health interventions, and future research should continue to explore the underlying factors that contribute to engagement in digital mental health interventions. ClinicalTrials.gov NCT04507360; https://clinicaltrials.gov/ct2/show/NCT04507360.

Technology Implementation for Mental Health End Users: A Model to Guide Digital Transformation for Inpatient Mental Health Professionals.

Digital transformation is the adoption of digital technologies by an entity in an effort to increase operational efficiency. In mental health care, digital transformation entails technology implementation to improve the quality of care and mental health outcomes. Most psychiatric hospitals rely heavily on "high-touch" interventions or those that require in-person, face-to-face interaction with the patient. Those that are exploring digital mental health care interventions, particularly for outpatient care, often copiously commit to the "high-tech" model, losing the crucial human element. The process of digital transformation, especially within acute psychiatric treatment settings, is in its infancy. Existing implementation models outline the development of patient-facing treatment interventions within the primary care system; however, to our knowledge, there is no proposed or established model for implementing a new provider-facing ministration tool within an acute inpatient psychiatric setting. Solving the complex challenges within mental health care demands that new mental health technology is developed in concert with a use protocol by and for the inpatient mental health professional (IMHP; the end user), allowing the "high-touch" to inform the "high-tech" and vice versa. Therefore, in this viewpoint article, we propose the Technology Implementation for Mental-Health End-Users framework, which outlines the process for developing a prototype of an IMHP-facing digital intervention tool in parallel with a protocol for the IMHP end user to deliver the intervention. By balancing the design of the digital mental health care intervention tool with IMHP end user resource development, we can significantly improve mental health outcomes and pioneer digital transformation nationwide.

Enabling Early Health Care Intervention by Detecting Depression in Users of Web-Based Forums using Language Models: Longitudinal Analysis and Evaluation.

Major depressive disorder is a common mental disorder affecting 5% of adults worldwide. Early contact with health care services is critical for achieving accurate diagnosis and improving patient outcomes. Key symptoms of major depressive disorder (depression hereafter) such as cognitive distortions are observed in verbal communication, which can also manifest in the structure of written language. Thus, the automatic analysis of text outputs may provide opportunities for early intervention in settings where written communication is rich and regular, such as social media and web-based forums. The objective of this study was 2-fold. We sought to gauge the effectiveness of different machine learning approaches to identify users of the mass web-based forum Reddit, who eventually disclose a diagnosis of depression. We then aimed to determine whether the time between a forum post and a depression diagnosis date was a relevant factor in performing this detection. A total of 2 Reddit data sets containing posts belonging to users with and without a history of depression diagnosis were obtained. The intersection of these data sets provided users with an estimated date of depression diagnosis. This derived data set was used as an input for several machine learning classifiers, including transformer-based language models (LMs). Bidirectional Encoder Representations from Transformers (BERT) and MentalBERT transformer-based LMs proved the most effective in distinguishing forum users with a known depression diagnosis from those without. They each obtained a mean F1-score of 0.64 across the experimental setups used for binary classification. The results also suggested that the final 12 to 16 weeks (about 3-4 months) of posts before a depressed user's estimated diagnosis date are the most indicative of their illness, with data before that period not helping the models detect more accurately. Furthermore, in the 4- to 8-week period before the user's estimated diagnosis date, their posts exhibited more negative sentiment than any other 4-week period in their post history. Transformer-based LMs may be used on data from web-based social media forums to identify users at risk for psychiatric conditions such as depression. Language features picked up by these classifiers might predate depression onset by weeks to months, enabling proactive mental health care interventions to support those at risk for this condition.

In Case You Haven't Heard…

Antidote Health, a telehealth company that views accessible, affordable health care as a fundamental human right, and the Charles Antetokounmpo Family Foundation (CAFF), a global foundation created by the Antetokounmpo Family that provides necessary resources and funding to partner organizations that help people and communities thrive, have announced the “Leave No One Behind” campaign. The campaign endeavors to deliver free mental telehealth care services provided by board‐certified physicians to the people of Milwaukee and is being made possible by a $1 million commitment from Antidote and CAFF, the companies reported in a news release through Business Wire on March 9. Under the terms of the “Leave No One Behind” program, eligible Wisconsin residents will receive free mental health care treatment conducted via teleconference with a board‐certified physician. No‐charge services included in the program are an evaluation, clinical diagnosis, medication management and follow‐up visits, plus up to $30 per month assistance with out‐of‐pocket drug expenses. Sign‐up will remain open until capacity is reached. “By leveraging CAFF's support and providing our leading mental health care to the people of Milwaukee — the city Giannis himself calls home — at no cost through Antidote's platform, we are getting incrementally closer to realizing that common goal,” said Avihai Sodri, co‐founder and CEO of Antidote Health, referring to NBA superstar Giannis Antetokounmpo, one of the co‐founders of CAFF and a brand ambassador for Antidote Health, noted the press release.

Integrated mental healthcare and vocational rehabilitation for people on sick leave with stress-related disorders: 24-month follow-up of the randomized IBBIS trial

Integrating vocational rehabilitation and mental healthcare has shown effects on vocational outcomes during sick leave with common mental disorders. In a previous paper, we showed that a Danish integrated healthcare and vocational rehabilitation intervention (INT) had a surprisingly negative impact on vocational outcomes compared to service as usual (SAU) at 6- and 12-month follow-up. That was also the case with a mental healthcare intervention (MHC) tested in the same study. This article reports the 24-month follow-up results of that same study. A randomized, parallel-group, three-arm, multi-centre superiority trial was conducted to test the effectiveness of INT and MHC compared to SAU. In total, 631 persons were randomized. Contrary to our hypothesis, SAU showed faster return to work than both INT [hazard rate (HR) 1.39, P=0.0027] and MHC (HR 1.30, P=0.013) at 24-month follow-up. Overall, no differences were observed regarding mental health and functional level. Compared to SAU, we observed some health benefits of MHC, but not INT, at 6-month follow-up but not thereafter, and lower rates of employment at all follow-ups. Since implementation problems might explain the results of INT, we cannot conclude that INT is no better that SAU. The MHC intervention was implemented with good fidelity and did not improve return to work. This trial does not support the hypothesis that INT lead to faster return to work. However, implementation failure may explain the negative results.

Operationalizing antiracism in health systems: Strategies state government administrative organizations use towards racial and ethnic mental health equity

Although a growing body of literature recommends strategies for improving racial equity in organizations and populations, little is known about how racial equity goals are operationalized in actuality, particularly in the context of state health and mental health authorities (SH/MHAs) attempting to promote population wellness while navigating bureaucratic and political constraints. This article seeks to examine the number of states engaging in racial equity work in mental health care, what strategies SH/MHAs use to improve their state's racial equity in mental health care, and how the workforce understands these strategies. A brief survey of 47 states found that all but one state (98%) is enacting racial equity interventions in mental health care. Through qualitative interviews with 58 SH/MHA employees in 31 states, I created a taxonomy of activities within six overarching strategies: 1) running a racial equity group; 2) gathering information and data about racial equity; 3) facilitating training and learning for staff and providers; 4) collaborating with partners and engaging with communities; 5) offering information or services to communities and organizations of color; and 6) promoting workforce diversity. I describe specific tactics within each of the strategies as well as the perceived benefits and challenges of the strategies. I argue that strategies bifurcate into development activities, which are activities creating higher-quality racial equity plans, and equity-advancing activities, which are actions directly impacting racial equity. The results have implications for how government reform efforts can impact mental health equity.

A smoking cessation intervention for people with severe mental illness treated in ambulatory mental health care (KISMET): study protocol of a randomised controlled trial

BackgroundSmoking among people with severe mental illness (SMI) is highly prevalent and strongly associated with poor physical health. Currently, evidence-based smoking cessation interventions are scarce and need to be integrated into current mental health care treatment guidelines and clinical practice. Therefore, the present study aims to evaluate the implementation and effectiveness of a smoking cessation intervention in comparison with usual care in people with SMI treated by Flexible Assertive Community Treatment (FACT) teams in the Netherlands.MethodsA pragmatic, cluster-randomised controlled trial with embedded process evaluation will be conducted. Randomisation will be performed at the level of FACT teams, which will be assigned to the KISMET intervention or a control group (care as usual). The intervention will include pharmacological treatment combined with behavioural counselling and peer support provided by trained mental health care professionals. The intervention was developed using a Delphi study, through which a consensus was reached on the core elements of the intervention. We aim to include a total of 318 people with SMI (aged 18–65 years) who smoke and desire to quit smoking. The primary outcome is smoking status, as verified by carbon monoxide measurements and self-report. The secondary outcomes are depression and anxiety, psychotic symptoms, physical fitness, cardiovascular risks, substance use, quality of life, and health-related self-efficacy at 12 months. Alongside the trial, a qualitative process evaluation will be conducted to evaluate the barriers to and facilitators of its implementation as well as the satisfaction and experiences of both patients and mental health care professionals.DiscussionThe results of the KISMET trial will contribute to the evidence gap of effective smoking cessation interventions for people treated by FACT teams. Moreover, insights will be obtained regarding the implementation process of the intervention in current mental health care. The outcomes should advance the understanding of the interdependence of physical and mental health and the gradual integration of both within the mental health care system.Trial registrationNetherlands Trial Register, NTR9783. Registered on 18 October 2021.

Forensic Psychiatric Outpatients' and Therapists' Perspectives on a Wearable Biocueing App (Sense-IT) as an Addition to Aggression Regulation Therapy: Qualitative Focus Group and Interview Study.

Given the increased use of smart devices and the advantages of individual behavioral monitoring and assessment over time, wearable sensor-based mobile health apps are expected to become an important part of future (forensic) mental health care. For successful implementation in clinical practice, consideration of barriers and facilitators is of utmost importance. The aim of this study was to provide insight into the perspectives of both psychiatric outpatients and therapists in a forensic setting on the use and implementation of the Sense-IT biocueing app in aggression regulation therapy. A combination of qualitative methods was used. First, we assessed the perspectives of forensic outpatients on the use of the Sense-IT biocueing app using semistructured interviews. Next, 2 focus groups with forensic therapists were conducted to gain a more in-depth understanding of their perspectives on facilitators of and barriers to implementation. Forensic outpatients (n=21) and therapists (n=15) showed a primarily positive attitude toward the addition of the biocueing intervention to therapy, with increased interoceptive and emotional awareness as the most frequently mentioned advantage in both groups. In the semistructured interviews, patients mainly reported barriers related to technical or innovation problems (ie, connection and notification issues, perceived inaccuracy of the feedback, and limitations in the ability to personalize settings). In the focus groups with therapists, 92 facilitator and barrier codes were identified and categorized into technical or innovation level (n=13, 14%), individual therapist level (n=28, 30%), individual patient level (n=33, 36%), and environmental and organizational level (n=18, 20%). The predominant barriers were limitations in usability of the app, patients' motivation, and both therapists' and patients' knowledge and skills. Integration into treatment, expertise within the therapists' team, and provision of time and materials were identified as facilitators. The chances of successful implementation and continued use of sensor-based mobile health interventions such as the Sense-IT biocueing app can be increased by considering the barriers and facilitators from patients' and therapists' perspectives. Technical or innovation-related barriers such as usability issues should be addressed first. At the therapist level, increasing integration into daily routines and enhancing affinity with the intervention are highly recommended for successful implementation. Future research is expected to be focused on further development and personalization of biocueing interventions considering what works for whom at what time in line with the trend toward personalizing treatment interventions in mental health care.

A bridge to recovery: an interpretative phenomenological analysis with peer support specialists in Singapore

ABSTRACT Recovery-oriented mental health care approach is gaining acceptance in Asian countries, including Singapore. Following Western countries, Singapore started hiring peer support specialists (PSS) as part of mental healthcare services. The aim of this paper was to explore and understand how individual peer support specialists in Singapore perceive and make sense of their role given their unique perspective as both recipients and providers of mental healthcare treatment. Six PSS in Singapore were interviewed utilizing a semi-structured interview schedule. Interviews were transcribed verbatim and analysed using interpretative phenomenological analysis. Four superordinate themes were generated illustrating how PSS viewed their role: embracing and embodying recovery, balancing on a bridge, impossible without support, and helping to end stigma. Findings also illustrated participants’ awareness of the nature of the job and the role of PSS as still in the infancy stage. They embraced a recovery-oriented mindset despite experiencing stigma from professionals and/or their social support. The need to understand familial attitudes towards the PSS role is discussed. The limitations, contributions to the research, and several areas for future research are also outlined.

The Seeking Mental Health Care model: prediction of help-seeking for depressive symptoms by stigma and mental illness representations

BackgroundOnly about half the people with depression seek professional health care services. To constitute the different predictors and associating variables of health care utilisation, we model the process and aim to test our hypothesised Seeking Mental Health Care Model. The model includes empirical influences on the help-seeking process to predict actual behaviour and incorporates superordinate (stigma, treatment experiences) as well as intermediate attitudinal variables (continuum and causal beliefs, depression literacy and self-efficacy).MethodAll variables are examined in an online study (baseline, three- and six-month follow-up). The sample consisted of adults with depressive symptoms (PHQ-9 sum score ≥ 8), currently not receiving mental health care treatment. To examine the prediction of variables explaining help-seeking behaviour, a path model analysis was carried out (lavaan package, software R).ResultsAltogether, 1368 participants (Mage = 42.38, SDage = 15.22, 65.6% female) were included, 983 participating in at least one follow-up. Model fit was excellent (i.e., RMSEA = 0.059, CFI = 0.989), and the model confirmed most of the hypothesised predictions. Intermediary variables were significantly associated with stigma and experiences. Depression literacy (ß = .28), continuum beliefs (ß = .11) and openness to a balanced biopsychosocial causal model (ß = .21) significantly influenced self-identification (R2 = .35), which among the causal beliefs and self-efficacy influenced help-seeking intention (R2 = .10). Intention (ß = .40) prospectively predicted help-seeking behaviour (R2 = .16).ConclusionThe Seeking Mental Health Care Model provides an empirically validated conceptualisation of the help-seeking process of people with untreated depressive symptoms as a comprehensive approach considering internal influences. Implications and open questions are discussed, e.g., regarding differentiated assessment of self-efficacy, usefulness of continuum beliefs and causal beliefs in anti-stigma work, and replication of the model for other mental illnesses.Trial registrationGerman Clinical Trials Register: DRKS00023557. Registered 11 December 2020. World Health Organization, Universal Trial Number: U1111–1264-9954. Registered 16 February 2021.

The Future of Yoga for Mental Health Care.

Yoga is an integrated holistic system originating in India that provides a path to alleviate physical, mental, and emotional suffering. Interest in the application of yoga in health care to manage and treat psychiatric conditions has grown. While research and clinical interventions using yoga show promising results for improving mental and emotional well-being, more data are needed. This perspective article summarizes the current evidence on yoga as a treatment for mental health conditions, potential mechanisms of action, future directions, and a call to action for proactive clinical and research agendas for yoga-based interventions in mental health care.

Psychosocial Assessment in Perinatal Mental Health: Insights, Strategies, and Future Directions

Abstract Perinatal mental health is a complex and multifaceted area influenced by various psychosocial risk factors that impact the well-being of individuals during pregnancy and the postpartum period. This article provides insight into the intricacies of perinatal mental health challenges, emphasizing the importance of comprehensive support systems. It highlights prominent risk factors, including exposure to stressful life events, strained marital relationships, inadequate social support, lower socioeconomic status, single marital status, unwanted pregnancies, obstetrical stressors, and infant temperament. The article discusses various psychosocial interventions, including psychoeducation, cognitive restructuring, problem-solving techniques, behavioral activation, and befriending. It also emphasizes the importance of specialized care for women experiencing postpartum psychosis. The National Institute of Mental Health and Neurosciences-Mother–Baby Unit Model, a multidisciplinary approach to perinatal mental health care, is explored, highlighting its comprehensive psychosocial assessment and tailored interventions. The article emphasizes the need to focus on psychosocial risk factors and culturally sensitive interventions in perinatal mental health care.