Australian specialised mental healthcare labour shortages: Potential interventions for consideration and further research.

OBJECTIVE: Specialised mental healthcare delivery is highly labour intensive, and the COVID-19 pandemic has exacerbated workforce shortfalls. We explore the information on the mental healthcare labour supply in Australia from a health policy viewpoint. Our purpose is to stimulate discussion, further research and development of interventions. CONCLUSIONS: The mental healthcare labour market has a number of features that make it prone to shortages and other distortions. These include: the labour-intensive nature of healthcare work;, long-training periods; that traditional policy levers like pay are only partially effective; as well as other challenges in retaining and recruiting mental health nurses and psychiatrists, especially in public mental health services. Further research is needed to develop and evaluate effective interventions.

Approaches to improving mental healthcare for autistic people: systematic review.

BACKGROUND: Autistic people have a high likelihood of developing mental health difficulties but a low chance of receiving effective mental healthcare. Therefore, there is a need to identify and examine strategies to improve mental healthcare for autistic people. AIMS: To identify strategies that have been implemented to improve access, experiences of care and mental health outcomes for autistic adults, and to examine evidence on their acceptability, feasibility and effectiveness. METHOD: A co-produced systematic review was conducted. MEDLINE, PsycINFO, CINHAL, medRxiv and PsyArXiv were searched. We included all study designs reporting acceptability or feasibility outcomes and empirical quantitative study designs reporting effectiveness outcomes. Data were synthesised using a narrative approach. RESULTS: A total of 30 articles were identified. These included 16 studies of adapted mental health interventions, eight studies of service improvements and six studies of bespoke mental health interventions developed for autistic people. There was no conclusive evidence on effectiveness. However, most bespoke and adapted approaches appeared to be feasible and acceptable. Identified adaptations appeared to be acceptable and feasible, including increasing knowledge and detection of autism, providing environmental adjustments and communication accommodations, accommodating individual differences and modifying the structure and content of interventions. CONCLUSION: Many identified strategies are feasible and acceptable, and can be readily implemented in services with the potential to make mental healthcare more suitable for autistic people, but important research gaps remain. Future research should address these and investigate a co-produced package of service improvement measures.

Pre-implementation determinants for digital mental health integration in Chicago pediatric primary care.

OBJECTIVE: Pediatric primary care (PPC) is a common treatment site for pediatric mental health, but it is currently unable to meet the needs of all teen patients, particularly those with minoritized identities and/or marginalized experiences. Digital mental health (DMH) low-intensity treatments (LITs) can increase mental health screening and care capacity in PPC, but how this is done successfully without burdening providers, patients, or families is unclear. This paper presents a pre-implementation study aimed at understanding the implementation context (PPCs in Chicago, IL) for a specific DMH LIT. METHOD: Using a mixed-methods design, quantitative data from an online survey of providers assessed current DMH practices in PPC, and qualitative interviews with Pediatricians and Pediatric Psychologists examined implementation determinants for a specific DMH LIT. Quantitative data were analyzed using descriptive statistics, and interviews were analyzed using rapid qualitative assessment. RESULTS: Survey reports (n = 105) and interviews (n = 6) indicated low current use of DMH. Providers in PPC clinics voiced multiple reasons for low usage and low perceived feasibility, including: Consolidated Framework for Implementation Research (CFIR) Inner Setting Domain (PPC clinic workflow, responsibility and ethical considerations, patient privacy and confidentiality), CFIR Outer Setting Domain (hospital and healthcare system factors), CFIR Innovation Domain (DMH design), and a cross-cutting theme of safety. CONCLUSIONS: Provider-reported low feasibility for integrating DMH in PPC is a call to action to partner with interdisciplinary colleagues and identify how such settings can ethically and seamlessly deliver digital evidence-based and accessible screening and care prior to implementation.

Slipping Through the Cracks: Clinicians' Perspectives on the Gaps in New York City's Public Mental Health System.

Most people who seek mental health treatment cannot access it. Certain groups (e.g., Medicaid enrollees and the uninsured) face particularly severe treatment access barriers along the care continuum. We interviewed 31 clinicians across two studies about their perspectives working in New York City's public mental health system. Because every clinician across both studies reported gaps in the system, we deployed an emergent, "serendipitous finding" approach and qualitatively analyzed the interviews together. Clinicians described three public mental health system gaps. First, many treatment-seekers must wait long periods of time to receive care and some never receive it at all. Second, patients with more serious challenges cannot access longer-term, higher-intensity, or specialized treatment. Third, some patients receiving high-intensity services may benefit from lower-intensity mental health support that is better integrated with medical and social service support. Coordinated and sustained financial investments at every step of the mental healthcare continuum are needed.

Barriers to Progress Feedback Adoption in Outpatient Geriatric Mental Healthcare: Exploring Age-Related Factors - A Qualitative Study.

Monitoring treatment progress through progress feedback is recognized for its efficacy and demonstrated value. However, its integration and utilization within treatments still need to be improved. Insufficient understanding exists regarding the factors within geriatric mental healthcare influencing the adoption of progress feedback. This study aimed to explore the determinants impacting the utilization of progress feedback within outpatient geriatric mental healthcare, specifically focusing on age-related perspectives and patient group characteristics. This qualitative investigation employed semi-structured interviews involving clinicians (N = 14) selected from four outpatient geriatric teams. The findings revealed both inhibiting and facilitating perspectives concerning progress feedback. Clinicians preferred user-friendly, specific, and tailored measures. Challenges included organizational support, integration in work processes, training, and the digital progress feedback system. Age-related perspectives such as older adults' diverse issues, limited digital skills, and cognitive problems hindered implementation, particularly in the oldest generation of older patients. In outpatient geriatric mental healthcare, many factors and attitudes influencing progress feedback align with those observed in adult psychiatry literature. Moreover, this study highlights specific age-related factors that impede the adoption and implementation of progress feedback, shedding light on the specific barriers within this context.

Stigma toward people with mental disorders in mental healthcare in Chile.

OBJECTIVE: This research aimed to determine the stigma toward people with mental illness among mental health personnel and identify individual, professional, and contextual predictors. METHODS: A descriptive, cross-sectional, and correlational design was used. The sample consisted of 218 mental health personnel working in Outpatient Psychiatric Units belonging to hospitals and Community Mental Health Centers in Chile. Stigma was evaluated using a scale of humanized treatment, a scale of social distance, and a scale of attitudes in health personnel. In addition, sociodemographic and professional information was collected from mental health personnel and contextual information, particularly the type of outpatient mental health center and the technical-administrative unit that groups all the health centers in a territory. RESULTS: It was found that mental health personnel, in general terms, present low levels of stigma expressed in behaviors of comfort and support toward users, a desire for closeness and social interaction, and reduced stigmatizing beliefs and attitudes of infantilization toward individuals with MHPs. However, intimacy and trust were lower than expected.Only educational levels and health centers were related to stigma. CONCLUSIONS: The low levels of stigma may be due to the evolution of this phenomenon and the country's mental health policies.

Influence of prior contact with community mental health services on first inpatient psychiatric admission for ethnic minorities: Findings from the NOMIAC study.

BACKGROUND: Research has extensively documented inequalities in inpatient psychiatric care provided to people of minoritized ethnic groups. Nonetheless, the role of their previous engagement with community mental health care has been little studied. AIMS: We aimed at exploring whether previous clinical care can influence key domains of subsequent psychiatric inpatient care for people of ethnic minorities. METHODS: We identified patients with a first hospital admission between 2016 and 2022, from a representative, highly diverse, catchment area of Northern Italy, using electronic health data of the NOMIAC study. We aimed at testing the impact of clinical care prior to admission on indicators of poor inpatient care, as identified by a participatory expert panel, that is, compulsory admission, insufficient length of stay, administration of Long-Acting Antipsychotics (LAI) during the last 7 days before discharge. Multiple regression models, predicted and counterfactual proportions and path analyses from generalized structural equations modeling were used to explore the association between belonging to ethnic minorities and these indicators. RESULTS: Among 1,524 participants, 18% were from minoritized ethnic groups. While these were more likely to experience an involuntary admission, regardless of previous care received, they were offered appropriate length of stay if had previous engagement with community mental health care. Both belonging to ethnic minorities and mental health care prior-to-admission were independently associated with early LAI administration. CONCLUSIONS: Several ethnic inequalities in inpatient care continue despite previous community mental health care provided. Future research should examine how these disparities translate into clinical outcomes. Nonetheless, there is the need to actively promote equity, improving the quality of inpatient care of minoritized ethnic groups.

Treatment gap and barriers to access mental healthcare among women with postpartum depression symptoms in Pakistan.

Background and Objectives: Postpartum depression (PPD) is prevalent among women after childbirth, but accessing mental healthcare for PPD is challenging. This study aimed to assess the treatment gap and barriers to mental healthcare access for women with PPD symptoms living in Punjab, Pakistan. Methods: A multicenter cross-sectional study was conducted in five populous cities of Punjab from January to June 2023 by administering the questionnaire to the women using stratified random sampling. A total of 3,220 women in first 6 months postpartum were screened using the Edinburgh Postnatal Depression Scale. Of them, 1,503 women scored thirteen or above, indicating potential depressive disorder. Interviews were conducted to explore help-seeking behavior and barriers to accessing mental healthcare. Descriptive statistics along with nonparametric tests (e.g., Kruskal-Wallis, Mann-Whitney U) were used and group differences were examined. Scatter plot matrices with fitted lines were used to explore associations between variables. Classification and regression tree methods were used to classify the importance and contribution of different variables for the intensity of PPD. Results: Only 2% of women (n = 33) with high PPD symptoms sought mental healthcare, and merely 5% of women (n = 75) had been in contact with a health service since the onset of their symptoms. 92.80% of women with PPD symptoms did not seek any medical attention. The majority of women, 1,215 (81%), perceived the need for mental health treatment; however, 91.23% of them did not seek treatment from healthcare services. Women who recently gave birth to a female child had higher mean depression scores compared to those who gave birth to a male child. Age, education, and birth location of newborn were significantly associated (p  <  0.005) with mean barrier scores, mean social support scores, mean depression scores and treatment gap. The results of classification and regression decision tree model showed that instrumental barrier scores are the most important in predicting mean PPD scores. Conclusion: Women with PPD symptoms encountered considerable treatment gap and barriers to access mental health care. Integration of mental health services into obstetric care as well as PPD screening in public and private hospitals of Punjab, Pakistan is critically needed to overcome the treatment gap and barriers.

Provider and patient barriers and facilitators to integration of digital mental health applications in routine clinical care.

BACKGROUND: The limited accessibility of mental healthcare providers highlights the need for innovative approaches to provide effective and efficient care. Digital mental health applications (DMHAs) can improve patient access to evidence-based treatments and reduce burden on the healthcare system. Here, we examined the provider and patient barriers and facilitators to integration of DMHAs in a healthcare system. METHODS: Patients (n = 57) and providers (n = 100) were recruited from a large healthcare system over five months. Participants completed a survey assessing attitudes towards DMHAs, and perceived facilitators and barriers to adoption and utilization of DMHAs in mental healthcare. RESULTS: DMHA credibility was a key facilitator for provider adoption, while usability and accessibility were identified as key facilitators for patient utilization. Provider barriers included patient cost/provider reimbursement, limited knowledge, perceived limits to credibility, patient outcome enhancement, and personalization of DMHAs for patient needs. Patients identified privacy concerns as the top barrier for using DMHAs. LIMITATIONS: The self-report survey nature of this study, modest sample size, and majority of sample identifying as White and upper middle class make results subject to biases and limitations. Given the potential of DMHAs to address disparities in access to mental healthcare, more research is needed including populations who are at greatest risk. CONCLUSIONS: Findings provide new insights to inform the development of intervention strategies to improve the integration of DMHAs within healthcare systems. Additional research examining key stakeholders at different levels of care is critical to address barriers, optimize facilitators, and develop roadmaps for best-practice use in healthcare systems.

Impacts of Telehealth Adoption on the Quality of Care for Individuals With Serious Mental Illness: Retrospective Observational Analysis of Veterans Affairs Administrative Data.

Background: Telehealth implementation can be challenging for persons with serious mental illness (SMI), which may impact their quality of care and health outcomes. The literature on telehealth's impacts on SMI care outcomes is mixed, necessitating further investigation. Objective: We examined the impacts of facility-level telehealth adoption on quality of care metrics over time among patients with SMI. Methods: We analyzed Veterans Affairs (VA) administrative data across 138 facilities from January 2021 to December 2022. We performed longitudinal mixed-effects regressions to identify the relationships between the proportion of facility-level telehealth visits and SMI specialty care quality metrics: engagement with primary care; access and continuity of care across a range of mental health services including psychotherapy or psychosocial rehabilitation, SMI-specific intensive outpatient programs, and intensive case management; and continuity of mental health care after a high-risk event (eg, suicide attempt). Results: Facilities with a higher proportion of telehealth visits had reduced access and continuity of physical and mental health care for patients with SMI (P<.05). Higher telehealth adoption was associated with reduced primary care engagement (z=-4.04; P<.001), reduced access to and continuity in SMI-specific intensive case management (z=-4.49; P<.001; z=-3.15; P<.002), reductions in the continuity of care within psychotherapy and psychosocial rehabilitation (z=-3.74; P<.001), and continuity of care after a high-risk event (z=-2.46; P<.01). Telehealth uptake initially increased access to intensive outpatient but did not improve its continuity over time (z=-4.47; P<.001). Except for continuity within SMI-specific intensive case management (z=2.62; P<.009), continuity did not improve over time as telehealth became routinized. Conclusions: Although telehealth helped preserve health care access during the pandemic, telehealth may have tradeoffs with regard to quality of care for some individuals with SMI. These data suggest that engagement strategies used by SMI-specific intensive case management may have preserved quality and could benefit other settings. Strategies that enhance telehealth implementation-selected through a health equity lens-may improve quality of care among patients with SMI.

Experiences from patients in mental healthcare accessing their electronic health records: results from a cross-national survey in Estonia, Finland, Norway, and Sweden.

BACKGROUND: Patients' online record access (ORA) enables patients to read and use their health data through online digital solutions. One such solution, patient-accessible electronic health records (PAEHRs) have been implemented in Estonia, Finland, Norway, and Sweden. While accumulated research has pointed to many potential benefits of ORA, its application in mental healthcare (MHC) continues to be contested. The present study aimed to describe MHC users' overall experiences with national PAEHR services. METHODS: The study analysed the MHC-part of the NORDeHEALTH 2022 Patient Survey, a large-scale multi-country survey. The survey consisted of 45 questions, including demographic variables and questions related to users' experiences with ORA. We focused on the questions concerning positive experiences (benefits), negative experiences (errors, omissions, offence), and breaches of security and privacy. Participants were included in this analysis if they reported receiving mental healthcare within the past two years. Descriptive statistics were used to summarise data, and percentages were calculated on available data. RESULTS: 6,157 respondents were included. In line with previous research, almost half (45%) reported very positive experiences with ORA. A majority in each country also reported improved trust (at least 69%) and communication (at least 71%) with healthcare providers. One-third (29.5%) reported very negative experiences with ORA. In total, half of the respondents (47.9%) found errors and a third (35.5%) found omissions in their medical documentation. One-third (34.8%) of all respondents also reported being offended by the content. When errors or omissions were identified, about half (46.5%) reported that they took no action. There seems to be differences in how patients experience errors, omissions, and missing information between the countries. A small proportion reported instances where family or others demanded access to their records (3.1%), and about one in ten (10.7%) noted that unauthorised individuals had seen their health information. CONCLUSIONS: Overall, MHC patients reported more positive experiences than negative, but a large portion of respondents reported problems with the content of the PAEHR. Further research on best practice in implementation of ORA in MHC is therefore needed, to ensure that all patients may reap the benefits while limiting potential negative consequences.

An Evaluation of the Health Economics of Postnatal Depression Prevention and Treatment Strategies in China: A Cost-Effectiveness Analysis.

OBJECTIVE: The primary objectives of this study are to assess the cost-effectiveness of early postnatal screening and prenatal psychological interventions for the prevention and treatment of postpartum depression (PPD) among Chinese pregnant women. Additionally, we aim to explore the most cost-effective prevention and treatment strategies for PPD in China. METHODS: We used TreeAge 2019 to construct a decision tree model, with the model assuming a simulated queue size of 10,000 people. The model employed Monte Carlo simulation to assess the cost-effectiveness of PPD prevention and treatment strategies. Transfer probabilities were derived from published studies and meta-analyses. Cost and effectiveness data were obtained from published sources and relevant studies. Incremental cost-effectiveness ratios (ICERs) were used to describe the results, with willingness-to-pay (WTP) thresholds set at China's gross domestic product (GDP) per capita. RESULTS: Compared to the usual care group, the cost per additional quality-adjusted life year (QALY) for the early postnatal screening group and the prenatal psychological interventions is USD 6840.28 and USD 3720.74, respectively. The cure rate of mixed treatments for PPD has the greatest impact on the model, while patient participation in treatment has a minor impact on the cost-effectiveness of prevention and treatment strategies. CONCLUSION: Both early postnatal screening and prenatal psychological interventions are found to be highly cost-effective strategies for preventing and treating PPD in China. Prenatal psychological interventions for pregnant women are the most cost-effective prevention and treatment strategy. As such, from the perspective of national payers, we recommend that maternal screening for PPD be implemented in China to identify high-risk groups early on and to facilitate effective intervention.

Enhancing Aviation Safety through AI-Driven Mental Health Management for Pilots and Air Traffic Controllers.

This article provides an overview of the mental health challenges faced by pilots and air traffic controllers (ATCs), whose stressful professional lives may negatively impact global flight safety and security. The adverse effects of mental health disorders on their flight performance pose a particular safety risk, especially in sudden unexpected startle situations. Therefore, the early detection, prediction and prevention of mental health deterioration in pilots and ATCs, particularly among those at high risk, are crucial to minimize potential air crash incidents caused by human factors. Recent research in artificial intelligence (AI) demonstrates the potential of machine and deep learning, edge and cloud computing, virtual reality and wearable multimodal physiological sensors for monitoring and predicting mental health disorders. Longitudinal monitoring and analysis of pilots' and ATCs physiological, cognitive and behavioral states could help predict individuals at risk of undisclosed or emerging mental health disorders. Utilizing AI tools and methodologies to identify and select these individuals for preventive mental health training and interventions could be a promising and effective approach to preventing potential air crash accidents attributed to human factors and related mental health problems. Based on these insights, the article advocates for the design of a multidisciplinary mental healthcare ecosystem in modern aviation using AI tools and technologies, to foster more efficient and effective mental health management, thereby enhancing flight safety and security standards. This proposed ecosystem requires the collaboration of multidisciplinary experts, including psychologists, neuroscientists, physiologists, psychiatrists, etc. to address these challenges in modern aviation.

Views held by South African primary health care nurses on caring for people living with mental illness.

Background: Primary healthcare is the first point of entry into the healthcare system. Scaling up primary mental healthcare is recommended in South African mental health policy. However, there is a paucity of data exploring the views of primary healthcare nurses (PHCNs) with regards to caring for people living with mental illness (PLWMI) in South Africa. Aim: To explore the views of PHCNs around caring for PLWMI and task shifting. Setting: A community health centre in Gauteng province, South Africa. Methods: A qualitative study design using the framework approach was employed. Semi-structured individual interviews were conducted among a convenient sample of PHCNs in a community health centre in Gauteng. Interviews were transcribed and data analysed thematically. Results: Eight PHCNs were interviewed in June 2022. Five themes emerged: (1) participants highlighted their current practice which excludes mental healthcare; (2) participants described feeling fearful of caring for PLWMI; (3) participants ascribed their lack of confidence in caring for PLWMI largely due to insufficient under- and post-graduate mental healthcare training. (4) task shifting was not welcome due to inadequate mental healthcare training and preexisting challenges in the healthcare system; and (5) recommendations to prioritise mental healthcare training prior to implementing task shifting were made. Conclusion: Primary healthcare nurses, although empathic towards PLWMI, expressed discomfort with caring for them. This is influenced by multiple factors, some of which may be addressed by improved training and support. Contribution: This study provides insight into how PHCNs feel about caring for PLWMI and task shifting.

An Exploration of Satisfaction with Mental Health Counseling Services in Western Australia Among Sexuality and Gender Diverse Youth.

Clinically significant psychological distress affects approximately 29.3% of Australian adolescents and 80.6% of sexuality and/or gender diverse youth (SGD-Y). Often, SGD-Y experience inadequate access and lower satisfaction with mental health services, stemming from age- and sexuality and/or gender diversity-status. Accordingly, exploration of factors affecting SGD-Y's access to, and satisfaction with, mental health services is critical. Using a social constructionist lens, we explored factors supporting SGD-Y's satisfaction with mental health services, and how these needs are or could be met. Seven LGBTQA+ youth aged 15 to 21 who received counseling in Western Australia in the last year, recruited via a university student participant pool and community organizations, participated in semi-structured interviews via video-conference, phone call, or SMS. Reflexive thematic analysis was inductively applied to participants' verbatim accounts. Satisfaction was tied to participants' sense of control over their healthcare-system experiences, shaped by four themes: person-centered support during the service-access process, resources to guide the search for services, confidence in therapists, and healthcare-system organization. Practices and policies supporting SGD-Y's self-determination during their service access may allow for empowering and personally meaningful therapeutic experiences. Developers of policies and initiatives may need to adopt a systems approach to foster SGD-Y's self-determination as they access services.

Feasibility, satisfaction, and goal attainment in routine telemedicine consultation in child and adolescent psychiatry and psychotherapy.

Telehealth services were rapidly adopted during the COVID-19 pandemic, but evidence regarding the effectiveness and feasibility of telehealth services in child and adolescent mental healthcare is sparse. This study aims to investigate feasibility, satisfaction, and goal attainment in video-delivered consultations in routine care child and adolescent psychiatry and psychotherapy. A total of 1046 patients from four university child and adolescent outpatient psychiatric clinics and one university outpatient unit for child and adolescent psychotherapy were screened for study participation. We examined a) the percentage of patients considered eligible for video-delivered consultation, b) clinicians', parents' and patients' satisfaction with video consultation, c) clinicians' ratings of goal attainment in video consultation, and d) factors associated with satisfaction and goal attainment. 59% of the screening sample (n = 621) fulfilled eligibility criteria and were considered eligible for video consultation. A total of 267 patients consented to participate in the study and received a video consultation. Clinicians reported high levels of satisfaction with video consultation and high levels of goal attainment in video consultations, especially for patients scheduled for initial patient assessments. Parents and patients were also highly satisfied with the video consultations, especially if patients had less severe emotional and behavioral problems. The present findings suggest that video consultations are a feasible and well-accepted alternative to in-person consultations in child and adolescent mental health care, especially for children with less severe symptoms and for children in early phases of assessment and treatment. Limitations include the lack of a control group. The study was registered at the German Clinical Trials Registry (DRKS00023525).

Nursing Staff in a Large Hospital System Underutilize Insurance-Based Mental Health Services.

Nurses are at high risk of burnout and subsequent mental health concerns due to problems with overstaffing, immense workload volume, and personal health risks associated with the job. Effective mental health treatments are available but potential barriers to receiving care may prevent nurses from benefiting. The Emotional Health and Well-Being Clinic (EHWC) at Houston Methodist is an outpatient mental health clinic offering therapy and medication management services for employees and employee dependents of our institution. The EHWC is uniquely positioned to observe how nurses utilize mental health services and to address barriers to effective care for this vital group of healthcare professionals. This paper provides descriptive data on the utilization of mental health services by nurses in the EHWC and a discussion of possible challenges faced by this group when seeking care. Based on these data, we propose potential solutions to ensure that nurses can achieve maximum benefit from outpatient mental health services.

Inter-organizational alignment and implementation outcomes in integrated mental healthcare for children and adolescents: a cross-sectional observational study.

BACKGROUND: Integrated care involves care provided by a team of professionals, often in non-traditional settings. A common example worldwide is integrated school-based mental health (SBMH), which involves externally employed clinicians providing care at schools. Integrated mental healthcare can improve the accessibility and efficiency of evidence-based practices (EBPs) for vulnerable populations suffering from fragmented traditional care. However, integration can complicate EBP implementation due to overlapping organizational contexts, diminishing the public health impact. Emerging literature suggests that EBP implementation may benefit from the similarities in the implementation context factors between the different organizations in integrated care, which we termed inter-organizational alignment (IOA). This study quantitatively explored whether and how IOA in general and implementation context factors are associated with implementation outcomes in integrated SBMH. METHODS: SBMH clinicians from community-based organizations (CBOs; nclinician = 27) and their proximal student-support school staff (nschool = 99) rated their schools and CBOs (clinician only) regarding general (organizational culture and molar climate) and implementation context factors (Implementation Climate and Leadership), and nine common implementation outcomes (e.g., treatment integrity, service access, acceptability). The levels of IOA were estimated by intra-class correlations (ICCs). We fitted multilevel models to estimate the standalone effects of context factors from CBOs and schools on implementation outcomes. We also estimated the 2-way interaction effects between CBO and school context factors (i.e., between-setting interdependence) on implementation outcomes. RESULTS: The IOA in general context factors exceeded those of implementation context factors. The standalone effects of implementation context factors on most implementation outcomes were larger than those of general context factors. Similarly, implementation context factors between CBOs and schools showed larger 2-way interaction effects on implementation outcomes than general context factors. CONCLUSIONS: This study preliminarily supported the importance of IOA in context factors for integrated SBMH. The findings shed light on how IOA in implementation and general context factors may be differentially associated with implementation outcomes across a broad array of integrated mental healthcare settings.

Exploring the Role of Artificial Intelligence in Mental Healthcare: Current Trends and Future Directions - A Narrative Review for a Comprehensive Insight.

Mental health is an essential component of the health and well-being of a person and community, and it is critical for the individual, society, and socio-economic development of any country. Mental healthcare is currently in the health sector transformation era, with emerging technologies such as artificial intelligence (AI) reshaping the screening, diagnosis, and treatment modalities of psychiatric illnesses. The present narrative review is aimed at discussing the current landscape and the role of AI in mental healthcare, including screening, diagnosis, and treatment. Furthermore, this review attempted to highlight the key challenges, limitations, and prospects of AI in providing mental healthcare based on existing works of literature. The literature search for this narrative review was obtained from PubMed, Saudi Digital Library (SDL), Google Scholar, Web of Science, and IEEE Xplore, and we included only English-language articles published in the last five years. Keywords used in combination with Boolean operators ("AND" and "OR") were the following: "Artificial intelligence", "Machine learning", Deep learning", "Early diagnosis", "Treatment", "interventions", "ethical consideration", and "mental Healthcare". Our literature review revealed that, equipped with predictive analytics capabilities, AI can improve treatment planning by predicting an individual's response to various interventions. Predictive analytics, which uses historical data to formulate preventative interventions, aligns with the move toward individualized and preventive mental healthcare. In the screening and diagnostic domains, a subset of AI, such as machine learning and deep learning, has been proven to analyze various mental health data sets and predict the patterns associated with various mental health problems. However, limited studies have evaluated the collaboration between healthcare professionals and AI in delivering mental healthcare, as these sensitive problems require empathy, human connections, and holistic, personalized, and multidisciplinary approaches. Ethical issues, cybersecurity, a lack of data analytics diversity, cultural sensitivity, and language barriers remain concerns for implementing this futuristic approach in mental healthcare. Considering these sensitive problems require empathy, human connections, and holistic, personalized, and multidisciplinary approaches, it is imperative to explore these aspects. Therefore, future comparative trials with larger sample sizes and data sets are warranted to evaluate different AI models used in mental healthcare across regions to fill the existing knowledge gaps.

Mental Healthcare Needs and Experiences of LGBT+ Individuals in Malaysia: Utility, Enablers, and Barriers.

Access to mental healthcare is undoubtedly of major importance for LGBT+ people worldwide, given the high prevalence of mental health difficulties due to minority stress exposures. This study drew mixed-method survey data from the community-based KAMI Survey (n = 696) to examine the enablers, barriers, and unmet needs experiences of LGBT+ individuals in accessing mental healthcare services in Malaysia. First, we present findings from a series of descriptive analyses for sociodemographic differences in unmet needs for mental healthcare, barriers, and satisfaction levels with different types of mental healthcare. Next, we conducted an inductive thematic analysis of open-text comments (n = 273), with relevance drawn to Andersen's Behavioural Model of Healthcare. More than a quarter (29.5%) reported an unmet need for mental healthcare, and some groups (younger, asexual or queer, or participants living in non-major cities) reported higher unmet needs. More than three-fifths (60.5%) reported not knowing where to find culturally safe mental health professionals. The thematic analysis uncovered key contextual (e.g., mental health practitioners' stance, stigma, collaborative client-care) and individual (e.g., positive expectation of mental health services and anticipated stigma) attributes that influence healthcare experiences. Participants also identified resources that facilitate healthcare utilisation, such as affordability, availability of suitable professionals, and geographical considerations. The implications of our findings for the mental healthcare practices in Malaysia were outlined.