Mental Health Care Services Research Articles

Insurance acceptance and cash pay rates for psychotherapy in the US.

Cost and insurance coverage remain important barriers to mental health care, including psychotherapy and mental health counseling services ("psychotherapy"). While data are scant, psychotherapy services are often delivered in private practice settings, where providers frequently do not take insurance and instead rely on direct pay. In this cross-sectional analysis, we use a large national online directory of 175 083 psychotherapy providers to describe characteristics of private practice psychotherapy providers who accept and do not accept insurance, and assess self-reported private pay rates. Overall, about one-third of private practice psychotherapists did not accept insurance, with insurance acceptance varying substantially across states. We also found significant session rate differentials, with Medicaid rates being on average 40% lower than reported cash pay rates, which averaged $143.26 a session. Taken together, low insurance acceptance across a broad swath of mental health provider types means that access to care is disproportionately reliant on patients' ability to afford out-of-pocket payments-even when covered by insurance. While our findings are descriptive and may not be representative of all US psychotherapists, they add to scant existing knowledge about the cash pay market for an important mental health service that has experienced increased use and demand over time.

Association between Social support and Depression in Early Middle Adult Myanmar Migrant Workers

Introduction: It is common for migrant workers to work for difficult, dirty, and dangerous kinds of jobs. Therefore, migrant workers worldwide are commonly susceptible to depression. There are very limited studies focusing on the relationship between depression and social support among early middle-adult Myanmar migrant workers in Thailand. Objectives: The objective is to explore the prevalence of depression and to evaluate the association between social support and depression among early middle-adult Myanmar Migrant Workers. Methods: The study design was a cross-sectional study. From the inclusion and exclusion criteria, the sample size was around 112. Chi-square test was used for bivariate analysis and multiple logistic regression analysis was used for multivariate analysis. Results: Out of 112 total participants, the prevalence of depression was about 47.3%. From the result of multiple logistic regression, social support was associated with depression (adjusted odd ratio=2.48, 95% confidence interval=1.11-5.51; p=0.026). Conclusions: Based on the result, the participants with low social support were 2.48 times more likely to have depression than those with high social support. Therefore, it is recommended that social support is an important variable for reducing depression. Mental health care and social support services should be incorporated into reducing depression.

Telepsychiatry Enables Better Mental Health Care Access in a Southern Philippines Hospital: a Mixed Methods Outcome Evaluation

The Philippines faces a significant unmet need for mental health care services, especially in remote and underserved areas with limited access to traditional in-person psychiatric services. Telepsychiatry offers a potential solution for bridging this gap and improving access to care. This study aimed to evaluate the telepsychiatry service in a Level 1 government hospital in southern Philippines and assess its feasibility for improving mental healthcare access. This evaluation study used a mixed-methods approach, including quantitative analysis of patient demographic data and psychiatric diagnoses retrieved from medical records (2018–2021), as well as qualitative in-depth interviews and focus group discussions with patients, guardians, and hospital staff. A SWOT (strengths, weaknesses, opportunities, threats) analysis was also conducted to assess areas for improvement. The majority of patients were between 18–35 yr old, male, and single. The most common diagnoses were schizophrenia spectrum and other psychotic disorders, followed by depressive and anxiety disorders. Key issues included medicine shortage, lack of communication, and poor Internet connectivity. However, stakeholders cited advantages such as access to free consultations, timely diagnosis, and potential for service scale- up. This study features telepsychiatry's potential for enabling better mental health care access in resource-constrained areas of the Philippines. It is the first to demonstrate telepsychiatry service provision from a specialist hospital to a Level 1 government hospital in the country. However, sustained multi-sector and multi-level coordination is crucial for long-term viability. Recommendations for enhancement and future research directions are provided.

Multi-Label Emotion Recognition of Korean Speech Data Using Deep Fusion Models

As speech is the most natural way for humans to express emotions, studies on Speech Emotion Recognition (SER) have been conducted in various ways However, there are some areas for improvement in previous SER studies: (1) while some studies have performed multi-label classification, almost none have specifically utilized Korean speech data; (2) most studies have not utilized multiple features in combination for emotion recognition. Therefore, this study proposes deep fusion models for multi-label emotion classification using Korean speech data and follows four steps: (1) preprocessing speech data labeled with Sadness, Happiness, Neutral, Anger, and Disgust; (2) applying data augmentation to address the data imbalance and extracting speech features, including the Log-mel spectrogram, Mel-Frequency Cepstral Coefficients (MFCCs), and Voice Quality Features; (3) constructing models using deep fusion architectures; and (4) validating the performance of the constructed models. The experimental results demonstrated that the proposed model, which utilizes the Log-mel spectrogram and MFCCs with a fusion of Vision-Transformer and 1D Convolutional Neural Network–Long Short-Term Memory, achieved the highest average binary accuracy of 71.2% for multi-label classification, outperforming other baseline models. Consequently, this study anticipates that the proposed model will find application based on Korean speech, specifically mental healthcare and smart service systems.

Disparities and Medical Expenditure Implications in Pediatric Tele-Mental Health Services During the COVID-19 Pandemic in Mississippi.

Tele-mental health (TMH) services, including both mental and behavioral healthcare (MBH) services, emerged as a cornerstone in delivering pediatric mental healthcare during the coronavirus disease 2019 (COVID-19) pandemic, yet their utilization and effects on healthcare resource utilization (HCRU) and medical expenditures remain unclear. To bridge the gap, this study aims to investigate the association between TMH utilization and sociodemographic factors and assess its associated HCRU and medical expenditures within a pediatric population in Mississippi. Studying 1,972 insured pediatric patients who accessed outpatient MBH services at the study institution between January 2020 and June 2023, age, race, insurance type, rural residency, and household income were identified as key determinants of TMH utilization. Adjusting for sociodemographics, TMH utilization was associated with 122% more MBH-associated outpatient visits and 36% higher related medical expenditures, but 27% less overall medical expenditures. This study reveals sociodemographic disparities in pediatric TMH utilization, highlights its role in augmenting outpatient mental healthcare access, and shows its potential for cost savings. Future efforts should aim at fostering more digitally inclusive, equitable, and affordable pediatric mental healthcare services.

How the COVID-19 pandemic reshaped telepsychology: Insights from an Italian survey

The coronavirus disease 2019 (COVID-19) pandemic rapidly boosted the introduction of certain changes in mental healthcare services, consequently driving up the adoption of remote care delivery options. We conducted an online Italian survey to evaluate telepsychology use, attitudes, acceptance, and training needs, as well as to understand patient-professional interactions in video-consultations, aiming to inform future mental healthcare practices and policies. The current study's survey responses were collected using an anonymous, self-reported questionnaire on the ‘REDCap’ platform from 25 October 2022 to 26 July 2023. In total, 128 mental health professionals and 113 patients completed the survey. In our sample, 69 % of patients and 79.7 % of mental health professionals reported having used telepsychology during COVID-19 pandemic; in particular, 84.6 % of patients and 95.1 % of professionals selected video-consultation modality. Data showed that participants expressed high satisfaction with this communication tool. The increase in satisfaction was directly proportional to increase in the quality of interactions and in relation to the quality of the experiences. The critical factors influencing the video-consultation experience include communication style, information completeness, patient-centredness, and the comfort underscoring the central role of the professional-patient relationship, which, substantially, remains a key element in the psychological treatment process. These findings reinforce the need for continued refinement and expansion of telepsychology services, thus highlighting the potential for integrating innovative technologies into mental health practise.

The emotional labour of peer work: encountering stigma in mental healthcare spaces

ABSTRACT This article focuses on the workplace experiences of peer workers with a diagnosis of borderline personality disorder (BPD) in mental healthcare settings in Australia. Our article is located at the intersection of political, social, cultural, and legislative forces that have fostered the development of peer work as a paid profession. We draw on the concept of stigma to analyse findings from qualitative interviews with peer workers conducted in [state], Australia. By examining peer work in the broader context of lifeworlds of BPD, we address the interplay of work and professional identity, and the experience of a profoundly stigmatised diagnosis at this intersection. Our findings demonstrate the physical and emotional effects of stigma and how it produces boundaries and inequalities between peer workers and other health practitioners. These boundaries are reinforced by invisible markers that delineate what is expected, ‘normal’ and deemed professional in the workplace. Moreover, these same medico-socio-political relations help shape peer workers’ identities and experiences. The development of peer workforces in mental healthcare service delivery is a prominent area of reform in Australia and internationally. Our research highlights the urgency of efforts to transform current socio-cultural-political relations that inhibit peer workers in their roles and impact workplace experiences.

Designing the first culturally-sensitive stigma survey tailored for adolescents: RN-CSS.

The Red Noses Culturally-Sensitive Stigma Survey (RN-CSS) contributes to the underexplored research domain of adolescents' stigmatising attitudes and behaviours towards peers with mental health difficulties and mental healthcare services. It also addresses the need for comprehensive and culturally-sensitive tools to assess stigma in this context. Drawing on insights from focus groups and building upon the existing Stigma in Global Context-Mental Health Study, we have successfully developed and implemented the first culturally-sensitive stigma survey tailored for school-aged adolescents of different migration/cultural backgrounds. The questionnaire includes an unlabelled case vignette depicting a peer with symptoms of depression and gathers data on various domains, including (1) sociodemographic variables; (2) education-related information; (3) COVID-19; (4) perceptions of mental health difficulties and mental healthcare services (i.e. severity assessment, causal attributions, care recommendations, personal stigma, perceived stigma, and service stigma); (5) subjective wellbeing and familiarity with mental health difficulties; (6) social support; (7) school context; (8) bullying; and (9) knowledge of anti-stigma campaigns. Our final sample comprises 5075 pupils from 38 secondary schools in Flanders, Belgium. In this article, we present the study's background and rationale, the development of the questionnaire, and the sampling and recruitment methods employed. Furthermore, we provide a summary of the sample characteristics and preliminary descriptive results of the RN-CSS. Subsequent empirical studies will address the research objectives outlined in this protocol paper. The research opportunities provided by the developed materials and dataset are being discussed.

Analyzing Dropout in Alcohol Recovery Programs: A Machine Learning Approach.

Background: Retention in treatment is crucial for the success of interventions targeting alcohol use disorder (AUD), which affects over 100 million people globally. Most previous studies have used classical statistical techniques to predict treatment dropout, and their results remain inconclusive. This study aimed to use novel machine learning tools to identify models that predict dropout with greater precision, enabling the development of better retention strategies for those at higher risk. Methods: A retrospective observational study of 39,030 (17.3% female) participants enrolled in outpatient-based treatment for alcohol use disorder in a state-wide public treatment network has been used. Participants were recruited between 1 January 2015 and 31 December 2019. We applied different machine learning algorithms to create models that allow one to predict the premature cessation of treatment (dropout). With the objective of increasing the explainability of those models with the best precision, considered as black-box models, explainability technique analyses were also applied. Results: Considering as the best models those obtained with one of the so-called black-box models (support vector classifier (SVC)), the results from the best model, from the explainability perspective, showed that the variables that showed greater explanatory capacity for treatment dropout are previous drug use as well as psychiatric comorbidity. Among these variables, those of having undergone previous opioid substitution treatment and receiving coordinated psychiatric care in mental health services showed the greatest capacity for predicting dropout. Conclusions: By using novel machine learning techniques on a large representative sample of patients enrolled in alcohol use disorder treatment, we have identified several machine learning models that help in predicting a higher risk of treatment dropout. Previous treatment for other substance use disorders (SUDs) and concurrent psychiatric comorbidity were the best predictors of dropout, and patients showing these characteristics may need more intensive or complementary interventions to benefit from treatment.

The implementation of exercise therapy within hospital-based mental healthcare: Delphi study.

The physical health comorbidities and premature mortality experienced by people with mental illness has led to an increase in exercise services embedded as part of standard care in hospital-based mental health services. Despite the increase in access to exercise services for people experiencing mental illness, there is currently a lack of guidelines on the assessment and triage of patients into exercise therapy. To develop guidelines for the pre-exercise screening and health assessment of patients engaged with exercise services in hospital-based mental healthcare and to establish an exercise therapy triage framework for use in hospital-based mental healthcare. A Delphi technique consisting of two online surveys and two rounds of focus group discussions was used to gain consensus from a multidisciplinary panel of experts. Consensus was reached on aspects of pre-exercise health screening, health domain assessment, assessment tools representing high-value clinical assessment, and the creation and proposed utilisation of an exercise therapy triage framework within exercise therapy. This study is the first of its kind to provide guidance on the implementation of exercise therapy within Australian hospital-based mental healthcare. The results provide recommendations for appropriate health assessment and screening of patients in exercise therapy, and provide guidance on the implementation and triage of patients into exercise therapy via a stepped framework to determine (a) the timeliness of exercise therapy required and (b) the level of support required in the delivery of their exercise therapy.

Human-Human vs Human-AI Therapy: An Empirical Study

In many nations, demand for mental health services currently outstrips supply, especially in the area of talk-based psychological interventions. Within this context, chatbots (software applications designed to simulate conversations with human users) are increasingly explored as potential adjuncts to traditional mental healthcare service delivery with a view to improving accessibility and reducing waiting times. However, the effectiveness and acceptability of such chatbots remains under-researched. This study evaluates mental health professionals’ perceptions of Pi, a relational Artificial Intelligence (AI) chatbot, in the early stages of the psychotherapeutic process (problem exploration). We asked 63 therapists to assess therapy transcripts between a human client and Pi (human-AI) versus traditional therapy transcripts between therapists and clients (human-human). Therapists were unable to reliably discriminate between human-AI and human-human therapy transcripts. Therapists were accurate only 53.9% of the time, no better than chance, and rated the human-AI transcripts as higher quality on average. This study has potentially profound implications for the treatment of mental health problems, adding tentative support for the use of relational AI chatbots in providing initial assistance for mild to moderate psychological issues, especially when access to human therapists is constrained.

Temporal patterns in adolescent psychiatric treatment and outcomes: a nationwide register-based cohort follow-up.

The rise in mental health problems among adolescents in high-income countries presents a challenge to service systems. For the development of services, there is a need for better insight into temporal psychiatric treatment-trends and outcomes. This study aims to analyze time-trends in both psychiatric treatment patterns and outcomes, utilizing a national sample of all adolescents receiving psychiatric treatment in Finland from 2003 to 2013. For time-trend-analysis, the sample was divided into two cohorts, using the onset year of 2008 as a cutoff. For each case, information on psychiatric treatment was gathered from registers within a five-year follow-up period from the onset of treatment or to death. The association between the inclusion year and outcome variables was studied via weighted generalized linear models. Adolescents in the latter cohort had a greater proportion (p < 0.001) of mood and anxiety diagnoses, a lower likelihood of hospitalization, a higher average of outpatient visits, and greater usage of psychotropics (excluding benzodiazepines). Those whose treatment began after 2008 were more likely to be alive (baseline characteristic adjusted Odds Ratio (aOR): 0.7, 95%CI: 0.6-0.8) and still in treatment contact (aOR: 1.4, 95%CI: 1.3-1.4) after four years from the onset. There was no difference in the long-term disability ratio. The results indicate favorable developments towards outpatient care in mental health services for adolescents with a significant decrease in mortality. Approaches to further developing cost-effective, personalized mental health services are discussed.

Debate and Dilemmas Regarding Generative AI in Mental Health Care: Scoping Review.

Mental disorders have ranked among the top 10 prevalent causes of burden on a global scale. Generative artificial intelligence (GAI) has emerged as a promising and innovative technological advancement that has significant potential in the field of mental health care. Nevertheless, there is a scarcity of research dedicated to examining and understanding the application landscape of GAI within this domain. This review aims to inform the current state of GAI knowledge and identify its key uses in the mental health domain by consolidating relevant literature. Records were searched within 8 reputable sources including Web of Science, PubMed, IEEE Xplore, medRxiv, bioRxiv, Google Scholar, CNKI and Wanfang databases between 2013 and 2023. Our focus was on original, empirical research with either English or Chinese publications that use GAI technologies to benefit mental health. For an exhaustive search, we also checked the studies cited by relevant literature. Two reviewers were responsible for the data selection process, and all the extracted data were synthesized and summarized for brief and in-depth analyses depending on the GAI approaches used (traditional retrieval and rule-based techniques vs advanced GAI techniques). In this review of 144 articles, 44 (30.6%) met the inclusion criteria for detailed analysis. Six key uses of advanced GAI emerged: mental disorder detection, counseling support, therapeutic application, clinical training, clinical decision-making support, and goal-driven optimization. Advanced GAI systems have been mainly focused on therapeutic applications (n=19, 43%) and counseling support (n=13, 30%), with clinical training being the least common. Most studies (n=28, 64%) focused broadly on mental health, while specific conditions such as anxiety (n=1, 2%), bipolar disorder (n=2, 5%), eating disorders (n=1, 2%), posttraumatic stress disorder (n=2, 5%), and schizophrenia (n=1, 2%) received limited attention. Despite prevalent use, the efficacy of ChatGPT in the detection of mental disorders remains insufficient. In addition, 100 articles on traditional GAI approaches were found, indicating diverse areas where advanced GAI could enhance mental health care. This study provides a comprehensive overview of the use of GAI in mental health care, which serves as a valuable guide for future research, practical applications, and policy development in this domain. While GAI demonstrates promise in augmenting mental health care services, its inherent limitations emphasize its role as a supplementary tool rather than a replacement for trained mental health providers. A conscientious and ethical integration of GAI techniques is necessary, ensuring a balanced approach that maximizes benefits while mitigating potential challenges in mental health care practices.

Community Pharmacists' Views on Their Roles in Mental Health Screening and Management in Malaysia.

Community pharmacists (CPs) are vital as primary healthcare providers, particularly in the screening and management of mental health issues. This study aimed to explore CPs' views on mental health support for patients and the potential challenges in delivering mental health services. Malaysian CPs were recruited through purposive and snowballing sampling. Semi-structured interviews were recorded and transcribed verbatim. Data was thematically analyzed using NVivo 12 management software. Twenty CPs from Peninsular Malaysia were interviewed. Participants emphasized the importance of high-quality resources, comprehensive training and standardized tools to effectively provide mental healthcare services. Challenges identified were lack of knowledge and skills, absence of screening tools and social stigma and conservatism, particularly among older individuals. This study underscores the willingness of CPs taking a primary role in mental health services. However, collaboration with relevant stakeholders is crucial, aligning with national strategic plans for the program to be successful.

Youth mental health care use during the COVID-19 pandemic in Alberta, Canada: an interrupted time series, population-based study

BackgroundDuring the COVID-19 pandemic, youth had rising mental health needs and changes in service accessibility. Our study investigated changes in use of mental health care services for Canadian youth in Alberta before and during the COVID-19 pandemic. We also investigated how youth utilization patterns differed for subgroups based on social factors (i.e., age, gender, socioeconomic status, and geography) previously associated with health care access.MethodsWe used cross-sectional population-based data from Alberta, Canada to understand youth (15–24 year) mental health care use from 2018/19 to 2021/22. We performed interrupted time series design, segmented regression modeling on type of mental health care use (i.e., general physician, psychiatrist, emergency room, and hospitalization) and diagnosis-related use. We also investigated the characteristics of youth who utilized mental health care services and stratified diagnosis-related use patterns by youth subgroups.ResultsThe proportion of youth using mental health care significantly increased from 15.6% in 2018/19 to 18.8% in 2021/22. Mental health care use showed an immediate drop in April 2020 when the COVID-19 pandemic was declared and public health protections were instituted, followed by a steady rise during the next 2 years. An increase was significant for general physician and psychiatrist visits. Most individual diagnoses included in this study showed significant increasing trends during the pandemic (i.e., anxiety, adjustment, ADHD, schizophrenia, and self-harm), with substance use showing an overall decrease. Mortality rates greatly increased for youth being seen for mental health reasons from 71 per 100,000 youth in 2018/19 to 163 per 100,000 in 2021/22. In addition, there were clear shifts over time in the characteristics of youth using mental health care services. Specifically, there was increased utilization for women/girls compared to men/boys and for youth from wealthier neighborhoods. Increases over time in the utilization of services for self-harm were limited to younger youth (15–16 year).ConclusionsThe study provides evidence of shifts in mental health care use during the COVID-19 pandemic. Findings can be used to plan for ongoing mental health needs of youth, future pandemic responses, and other public health emergencies.

Prison healthcare service use and associated factors: a cross sectional study in Northwestern Ethiopia.

Studies on inmates' Health Care Service (HCS) utilization are scarce globally, infrequent in Ethiopia while findings about the factors associated with HCS utilization are inconsistent. The present study, therefore, examined inmates' HCS utilization and associated socio-demographic and imprisonment related factors in Northwestern Ethiopia. The study employed institution-based cross sectional research design and data was collected using questionnaire from 422 inmates in three prisons. The questionnaire collected data about prisoners' demographic characters, imprisonment related information and HCS utilization. Descriptive statistical techniques as well as bi-variate and multiple logistic regressions were used to analyse the data. The study found that 72.5%, 66.1% and 13.3% of the inmates, respectively, used medical services, guidance and counseling services, and psychiatric services. Inmates with primary education, with secondary education, and who know the availability of the services were more likely to use medical services. Inmates with accused status were less likely to use medical services than inmates with convict status. Divorced marital status and knowledge of the service availability were associated with high guidance and counseling service use. An increase in the length of stay in the prison was associated with a decrease in psychiatry service use while knowledge of service availability was associated with higher odds of psychiatry service use. There are high medical care service utilization while low mental health care service utilization among inmates in Northwestern Ethiopia. Results of the study implied that there is a critical need for immediate health care service promotion and education measures. Besides, there are also needs for large scale, longitudinal and potentially cross-cultural studies to better understand additional factors that influence inmates' HCS utilization.

Suicide in individuals with eating disorders who had sought mental health treatment in England: a national retrospective cohort study

Although studies have suggested a high risk of suicide in people with eating disorders, most studies have focused on suicidal ideation and attempts. There is little research on the characteristics of people with eating disorders who died by suicide, nor investigation of trends over time. We aimed to compare the characteristics of patients with eating disorders who died by suicide versus patients with other mental health diagnoses who died by suicide in England and to examine the trends in rates. In this national retrospective cohort study, data on all people (aged ≥10 years) who died by suicide in England, UK, between Jan 1, 1997, and Dec 31, 2021, while under the care (within the previous 12 months) of mental health services were obtained from the National Confidential Inquiry into Suicide and Safety in Mental Health (NCISH), in which clinical information is collected via a questionnaire completed by the mental health professional responsible for the patient's care. Incidence of suicide in, and demographic, clinical, and treatment characteristics of, patients with a diagnosis of eating disorder (as recorded by the treating clinician) who died by suicide were compared with patients with other mental health diagnoses who died by suicide within the same timeframe using univariable logistic regression analysis. People with related lived experience were involved in the study design, implementation, interpretation, and writing of the manuscript. Of 119 446 people for whom NCISH were notified of dying by suicide in England, 30 795 were under the recent care of mental health services, of whom 30 246 had known diagnoses and were included in analyses. Of these individuals, 10 373 (34%) were female and 19 873 (66%) were male; 2236 (8%) were of minority ethnicity; 382 (1%) had a diagnosis of eating disorder and 29 864 (99%) had another mental health diagnosis. Compared with patients with other mental health diagnoses who died by suicide, patients with eating disorders were younger (median age 33 years [range 15-90] vs 45 years [10-100]), more often female (343 [90%] female and 39 [10%] male in the eating disorders group; 10 030 [34%] female and 19 834 [66%] male in the other diagnoses group), and less likely to have evidence of conventional risk factors for suicide such as living alone (odds ratio [OR] 0·68, 95% CI 0·55-0·84). 22 (6%) of 382 were from a minority ethnic group. Patients with an eating disorder were characterised by a greater clinical complexity (eg, self-harm [OR 2·31, 95% CI 1·78-3·00], comorbidity [9·79, 6·81-14·1], and longer duration of illness [1·95, 1·56-2·43]), and were more likely to have died following overdoses (2·00, 1·62-2·45) than patients with other diagnoses. Childhood abuse (52 [37%] of 140) and domestic violence (18 [20%] of 91) were common in patients with eating disorders. Similar to patients with other diagnoses, most (244 [75%] of 326) of those with eating disorders who died by suicide were rated as low risk by clinicians at last contact. The number of suicide deaths in patients with eating disorders rose between 1997 and 2021 (incidence rate ratio [IRR] 1·03, 95% CI 1·02-1·05; p<0·0001), but rates fell when accounting for the greater number of patients entering mental health services (IRR 0·97, 0·95-1·00; p=0·033). This study was focused on people who sought help from mental health services. It did not consider subtypes of eating disorders or include a control group, but it does highlight possible areas for intervention. The comprehensive provision of evidence-based treatment for eating disorders and underlying conditions to address the clinical complexity in these patients might help to reduce suicide. Recognising limitations in clinical risk assessment, addressing early life experiences and current adversities, and appropriate prescribing might also be of benefit. Suicide prevention must remain a priority for eating disorder services and mental health care more widely. The Healthcare Quality Improvement Partnership.

A community case detection tool to promote help-seeking for mental health care among children and adolescents in Ugandan refugee settlements: a stepped wedge cluster randomised trial

Strategies to promote mental health care help-seeking among children are needed, especially in low-income and middle-income countries and in complex settings. The aim of this trial was to compare a vignette-based, community-level, proactive case detection tool (CCDT) against standard awareness raising for promoting mental health help-seeking among children and adolescents. This stepped wedge cluster randomised trial was conducted in the Bidi Bidi, Kyaka II, Kyangwali, Omugo, and Rhino refugee settlements in Uganda. Community gatekeepers received a 2-day training session on using the CCDT to proactively detect children with mental health concerns and encourage children (or their caregivers) to use the mental health-care service run by Transcultural Psychosocial Organization Uganda. At baseline, organisations implemented routine detection or mental health awareness-raising activities. At cross-over to CCDT implementation, gatekeepers used the tool in their daily activities. The primary outcome was mental health-care service use by children and adolescents. Child population size estimates at the zone level were not available. Therefore, service use was calculated using total population size. We report the effect of CCDT implementation as an incidence rate ratio (IRR), which we produced from a model that accounts for calendar time, exposure time, and person-time. IRRs were estimated for the analysis of effect over time in the per-protocol and intention-to-treat populations. The trial is registered with the ISRCTN registry, number ISRCTN19056780. 28 administrative zones were selected for trial participation by October, 2021. Between Jan 1, and Nov 8, 2022, seven clusters of four zones sequentially crossed over from routine care to CCDT implementation in 1-month intervals. The CCDT was implemented by 177 trained community gatekeepers. In 9 months, 2385 children visited a mental health-care service; of these, 1118 (47%) were girls and 1267 (53%) were boys (mean age 12·18 years [SD 4.03]). 1998 children made a first or re-entry visit to a service; of these, 937 (47%) were girls and 1061 (53%) were boys (mean age 12·08 years [SD 4·06]). Compared to standard awareness-raising activities, CCDT implementation was associated with an increase in mental health-care service use in the first month after implementation (20·91-fold change [95% CI 12·87-33·99]). Despite a slight decline in service use over time in both the CCDT and pre-CCDT zones, CCDT zones maintained a time-average 16·89-fold increase (95% CI 8·15-34·99) in mental health service use. The CCDT enabled community gatekeepers to increase mental health-care service use by children and adolescents. Vignette-based strategies rooted in the community could become a valuable contribution towards reducing the mental health-care gap among children, especially when accompanied by accessible mental health-care services. Sint Antonius Stichting Projects. For the Arabic, French and Spanish translations of the abstract see Supplementary Materials section.

Identifying Under- And Overutilization Patterns For Idaho Youth With Serious Emotional Disturbance.

Children and adolescents with serious emotional disturbance represent 7-12percent of all youth in the United States. In 2017, the State of Idaho implemented the Youth Empowerment Service program, which allows youth with serious emotional disturbance who are younger than age eighteen living in households with income up to 300percent of the federal poverty level to qualify for Medicaid and receive intensive, community-based treatment. A uniquely detailed method was used to assess the need for services: the Child and Adolescent Needs and Strengths tool, a ninety-seven-indicator instrument administered by a clinician. We used these indicators and Idaho's 2018-22 administrative Medicaid claims data to study the association between children and adolescents' clinical needs complexity and their actual Medicaid behavioral and mental health service use. Our findings show that there was a substantial proportion of youth who were underusing Medicaid behavioral and mental health care services, and there were virtually no overusers. Our findings have implications for the appropriateness of Medicaid utilization management in behavioral health care and program efforts to maintain families with youth having serious emotional disturbance in the Youth Empowerment Service program.

Healthcare Professional Perspectives on the Impact of the Physical Health Nurse Consultant.

Early mortality experienced by people living with mental health issues (hereon termed consumers) is largely preventable. Healthcare professionals perceive healthcare system inadequacies such as diagnostic overshadowing, stigma and fragmentation of physical and mental healthcare services can be resolved through effective integration approaches. Service- and individual-level integration approaches involve multidisciplinary teams collaborating and coordinating care to holistically meet consumers' physical and mental health needs. Evidence suggests appropriately trained healthcare professionals can deliver effective integrated treatment without financial or organisational restructuring. Specialist nursing positions such as Physical Health Nurse Consultants can support and integrate physical and mental health care. Consumers report the Physical Health Nurse Consultant as providing dedicated, integrated, coordinated and holistic mental and physical health care. This study aimed to explore the Physical Health Nurse Consultant role from the perspectives of healthcare professionals. A qualitative exploratory study design was used. Fourteen healthcare professionals participated in individual interviews or focus groups. Interview recordings were transcribed, and thematically analysed. Three themes were identified: (i) role functions, including integration of physical and mental health care, (ii) impact on consumer physical health outcomes and (iii) impact on service delivery. Healthcare professionals perceive the Physical Health Nurse Consultant effectively integrates physical and mental health care and subsequently support the continuation and embedding of the role in routine practice. Future research is required to explore healthcare professionals' experiences and perceptions of how these roles be translated to routine clinical practice. Examining the professional development requirements, service provider constraints and economic implication to achieve these outcomes also warrants attention.