BACKGROUND: Emerging evidence indicates that individuals with type 2 diabetes (T2D) are more prone to mental health issues than the general population; however, there is a significant lack of data concerning the mental health burden in Chinese Americans with T2D.
OBJECTIVE: The aim of this study was to explore the comorbid mental health status, health-seeking behaviors, and mental service utilization among Chinese Americans with T2D.
METHODS: A cross-sectional telephone survey was performed among 74 Chinese Americans with T2D in New York City. We used standardized questionnaires to assess mental health status and to gather data on mental health-seeking behaviors and service utilization. Descriptive statistics were applied for data analysis.
RESULTS: A total of 74 Chinese Americans with T2D completed the survey. Most participants (mean age 56, SD 10 years) identified as female (42/74, 57%), were born outside the United States (73/74, 99%), and had limited English proficiency (71/74, 96%). Despite nearly half of the participants (34/74, 46%) reporting at least one mental health concern (elevated stress, depressive symptoms, and/or anxiety), only 3% (2/74) were currently using mental health services. Common reasons for not seeking care included no perceived need, lack of information about Chinese-speaking providers, cost, and time constraints. The cultural and language competence of the provider was ranked as the top factor related to seeking mental health care.
CONCLUSIONS: Chinese Americans with T2D experience relatively high comorbid mental health concerns yet have low service utilization. Clinicians may consider team-based care to incorporate mental health screening and identify strategies to provide culturally and linguistically concordant mental health services to engage Chinese Americans with T2D.

To explore the receipt of mental health education, assessment, and referrals, and mental health service use among individuals with vestibular disorders. Patients with vestibular disorders living in the US, Australia, Canada, and the UK were surveyed through social media forums. Questionnaires assessed demographics, anxiety (Generalized Anxiety Disorder-7), depression (Center for Epidemiological Studies Depression-10), dizziness (Dizziness Handicap Inventory), and type of professional providing mental health education, assessment, referral, and treatment. The 226 participants were largely White (90%), educated (67% holding an associate\'s degree or higher) women (88%) with an average age of 45 who self-identified as having chronic vestibular symptoms (78%), as opposed to episodic ones (22%). Fifty-two percent reported never receiving verbal education, written education (69%), mental health assessment (54%), or referral (72%). Participants were more likely to receive mental health treatment in the past if they had received verbal resources and/or referrals from clinicians. The majority of patients with vestibular disorders report that medical professionals have not provided education, mental health assessment, or a mental health referral.

BACKGROUND: The American College of Surgeons Committee on Trauma (ACS-CoT) mandated that trauma centers have mental health screening and referral protocols in place by 2023. This study compares the Injured Trauma Survivor Screen (ITSS) and the Automated Electronic Medical Record (EMR) Screen to assess their performance in predicting risk for posttraumatic stress disorder (PTSD) within the same sample of trauma patients to inform trauma centers\' decision when selecting a tool to best fit their current clinical practice.
METHODS: This was a secondary analysis of three prospective cohort studies of traumatically injured patients (N = 255). The ITSS and Automated EMR Screen were compared using receiver operating characteristic curves to predict risk of subsequent PTSD development. PTSD diagnosis at 6-month follow-up was assessed using the Clinician Administered PTSD Scale for DSM-5.
RESULTS: Just over half the sample screened positive on the ITSS (57.7%), while 67.8% screened positive on the Automated EMR Screen. The area under the curve (AUC) for the two screens was not significantly different (ITSS AUC = 0.745 versus Automated EMR Screen AUC = 0.694, p = 0.21), similar performance in PTSD risk predication within the same general trauma population. The ITSS and Automated EMR Screen had similar sensitivities (86.5%, 89.2%), and specificities (52.5%, 40.9%) respectively at their recommended cut-off points.
CONCLUSIONS: Both screens are psychometrically comparable. Therefore, trauma centers considering screening tools for PTSD risk to comply with the ACS-CoT 2023 mandate should consider their local resources and patient population. Regardless of screen selection, screening must be accompanied by a referral process to address the identified risk.

OBJECTIVE: Evaluation of the implementation of a standardized screening using the Strengths and Difficulties Questionnaire (SDQ) as part of the routine pediatric health check-ups in the Dresden area (Germany) in order to detect emotional and behavioral problems (EBPs) in children early and allocate them to indicated preventive programs and/or to further counselling and treatment services.
METHODS: 1.) Semi-structured interviews were performed with participating pediatricians (n=4), practice staff (n=4) and custodians of screened children (n=17) and subjected to content analysis regarding feasibility, advantages and disadvantages of the screening and the targeted allocation, as well as barriers and facilitators of using the screening and the preventive programs and further services. 2.) A self-developed questionnaire survey (descriptive analysis: means and frequencies) was conducted among pediatricians (n=34/99) to inquire about the implementation of the SDQ screening regarding feasibility, advantages, disadvantages and necessary conditions for a potential adoption of the screening to standard health services.
RESULTS: In the interviews, the pediatricians and practice staff reported that the SDQ screening embedded in routine pediatric health check-ups was simple and could be carried out in a few minutes. The screening helped to identify and address possible EBPs in children and to recommend a targeted service. Apart from the expenditure of time, no disadvantages were mentioned. As expected, parent-related (e.g. fears, attitudes and trust in the pediatrician), child-related (does not want to reveal any information about him- or herself , attitude and motivation), service provider-related (presentation of services), organizational (necessary signatures, financing, waiting time) and service-related (duration, costs, venue, designation) factors influenced the families\' use of the screening and further services. Interviewed custodians whose child participated in an indicated preventive program within the project (n=11) would recommend the SDQ screening and preventive program to other families. In the questionnaire survey 28/31 pediatricians \"completely\" or \"rather\" agreed on a 5-point Likert scale that the SDQ screening and targeted allocation should be included in standard pediatric care.
CONCLUSIONS: The use of the SDQ, which is one of the most widely used and, despite its brevity, most valid screening instruments for the early detection of EBPs, in routine pediatric health check-ups and the targeted allocation of further health services represent a feasible approach to the early identification and clarification of EBPs in children as well as their allocation to indicated preventive services.
CONCLUSIONS: An adoption of the novel form of care (SDQ screening and targeted allocation to indicated preventive programs and further services) to standard pediatric care unfolds its benefits if preventive and care services for EBPs in children are made available nationwide.

BACKGROUND: The purpose of this study was to explore the reliability and construct validity of the EPDS-US.
METHODS: To enhance the perinatal mental health screen, we adapted the Edinburgh Postnatal Depression Screen (EPDS) for application in the United States, and evaluated reliability and construct validity of the EPDS-US in a sample of 100 postpartum individuals. We explored reliability by estimating internal consistency of the scale and evaluating concurrent validity with correlations to the Patient Health Questionnaire (PHQ-9) and the Generalized Anxiety Disorder Assessment (GAD-7); and construct validity using factor analysis and discriminant validity with correlations to the Perceived Stress Scale (PSS).
RESULTS: We present both a one-factor (Cronbach\'s alpha of 0.83) and two-factor model consisting of depressive (Cronbach\'s alpha 0.76) and anxiety symptoms (Cronbach\'s alpha 0.78) of the EPDS-US. Related to discriminant validity, the EPDS-US and PSS exhibited a moderate correlation of 0.71. For measures of concurrent validity, correlations with the PHQ-9 and GAD-7 were moderate; 0.63 and 0.68, respectively.
CONCLUSIONS: The EPDS-US was adapted to enhance the perinatal mental health screening experience for populations in the US while maintaining the reliability and validity of the original Edinburgh Postnatal Depression Scale. These findings contribute to the evidence of reliability and validity of the EPDS-US in perinatal populations in the United States; presenting initial evidence supporting construct validity and concurrent validity of this newly adapted 10-item scale.

BACKGROUND: Depression is prevalent, chronic, and burdensome. Due to limited screening access, depression often remains undiagnosed. Artificial intelligence (AI) models based on spoken responses to interview questions may offer an effective, efficient alternative to other screening methods.
OBJECTIVE: The primary aim was to use a demographically diverse sample to validate an AI model, previously trained on human-administered interviews, on novel bot-administered interviews, and to check for algorithmic biases related to age, sex, race, and ethnicity.
METHODS: Using the Aiberry app, adults recruited via social media (N = 393) completed a brief bot-administered interview and a depression self-report form. An AI model was used to predict form scores based on interview responses alone. For all meaningful discrepancies between model inference and form score, clinicians performed a masked review to determine which one they preferred.
RESULTS: There was strong concurrent validity between the model predictions and raw self-report scores (r = 0.73, MAE = 3.3). 90 % of AI predictions either agreed with self-report or with clinical expert opinion when AI contradicted self-report. There was no differential model performance across age, sex, race, or ethnicity.
CONCLUSIONS: Limitations include access restrictions (English-speaking ability and access to smartphone or computer with broadband internet) and potential self-selection of participants more favorably predisposed toward AI technology.
CONCLUSIONS: The Aiberry model made accurate predictions of depression severity based on remotely collected spoken responses to a bot-administered interview. This study shows promising results for the use of AI as a mental health screening tool on par with self-report measures.

OBJECTIVE: The purpose of this study was to conduct a scoping review to examine and summarize the characteristics of research related to mental health (MH) screenings and/or referrals to treatment in dental practices.
METHODS: We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for Scoping Reviews and searched multiple databases for terms connected with dental care, MH concerns, screening, and referral. Included articles: (1) described care provided in a dental practice, (2) described a situation where the patient is experiencing the potential MH problem, (3) did not involve dental anxiety exclusively, and (4) involved some form of MH screening and/or referral to treatment. Article analysis included a summary of key study characteristics, types of evidence, study design, and central concepts and definitions.
RESULTS: The search generated 2050 records, with 26 ultimately included. Most studies involved only adults (22, 85%), but only three (12%) reported on rurality (two urban; one mixed) and only two each (8%) reported race or ethnicity. Fifteen (58%) articles were prospective and 11 (42%) were retrospective. The studies varied widely in study designs, from 11 (42%) cross-sectional methodologies to only one (4%) randomized controlled trial. Thirty-four screening tools were used to screen for symptoms of 43 MH conditions, with depression and anxiety screened for most frequently. Few articles discussed making referrals, practice workflows, or follow-up outcomes.
CONCLUSIONS: Included studies provide evidence of viable options for dental practitioners regarding MH screening, referring, and conducting follow-up, but lack specificity regarding these processes. Overall, more research is needed to clarify what workflows are most efficient for dental practitioners and efficacious in identifying patients with MH concerns.

UNASSIGNED: Mental health at the workplace (WMH) is an important indicator for the optimum functioning of a medical institute. To establish an effective WMH, it is essential to understand the level of awareness, perceptions, and felt needs of students and staff of a medical institute regarding mental health services within the campus.
UNASSIGNED: A cross-sectional web-based survey was conducted in an institution of national importance in Central India using a semistructured questionnaire based on Kobo Toolbox. Felt need for periodic mental health screening within the institutional campus (FN-S) and felt need of having a separate cell for mental healthcare of students and employees (FN-C) were analyzed using univariable and multivariable logistic regression.
UNASSIGNED: A total of 526 out of 2190 eligible students and staff completed the survey (response rate 24.1%). About half of the participants were not aware, of whom to contact on campus in case of mental health concerns (MHCs), more than three-fourths were not aware of the rights for seeking treatment, and three-fourths thought that getting diagnosed with an MHC would negatively impact their academic course or work. There was a high felt need for mental health screening services (91.1%), and almost two-thirds felt the need for a separate mental health cell. The FN-S was higher among those from rural areas, those not using social media, those without a preexisting MHC, and those without FN-C. FN-C was higher in those not using social media, those having sleep disturbances, those with unawareness of the rights of a mentally ill person, those without any MHC, and those not having FN-S.
UNASSIGNED: Active efforts are needed to roll out a mental health screening policy and separate mental health cells within the medical institute. Future research should focus on a qualitative inquiry into the details of the above findings.

BACKGROUND: Avoidant/restrictive food intake disorder (ARFID) is a serious, albeit under-researched, feeding or eating disorder. This exploratory study utilized data from adult respondents to the National Eating Disorders Association online eating disorder screen to validate items assessing the presence of ARFID and examine the prevalence, clinical characteristics, and correlates of a positive ARFID screen.
METHODS: Among 50,082 adult screen respondents between January 2022 and January 2023, the prevalence of a positive ARFID screen was calculated. Chi-square tests and t-tests compared demographics, eating disorder attitudes and behaviors, suicidal ideation, current eating disorder treatment status, and eating disorder treatment-seeking intentions between respondents with possible ARFID and other eating disorder diagnostic and risk categories. Clinical characteristics of respondents with possible ARFID were also examined.
RESULTS: 2378 (4.7%) adult respondents screened positive for ARFID. Respondents with possible ARFID tended to be younger, male, and have lower household income, and were less likely to be White and more likely to be Hispanic/Latino than most other diagnostic/risk groups. They had lower weight/shape concerns and eating disorder behaviors than most other diagnoses and higher BMI than those with AN. 35% reported suicidal ideation, 47% reported intentions to seek treatment for an eating disorder, and 2% reported currently being in treatment. The most common clinical feature of ARFID was lack of interest in eating (80%), followed by food sensory avoidance (55%) and avoidance of food due to fear of aversive consequences (31%).
CONCLUSIONS: Findings from this study indicated that ARFID was prevalent among adult screen respondents and more common among individuals who were younger, male, non-White, Hispanic, and lower income relative to those with other eating disorders, at risk for an eating disorder, or at low risk. Individuals with possible ARFID frequently reported suicidal ideation and were rarely in treatment for an eating disorder. Further research is urgently needed to improve advances in the assessment and treatment of ARFID and improve access to care in order to prevent prolonged illness duration.
This study examined data from adult respondents to a publicly available online eating disorders screen adult to examine the prevalence, clinical characteristics, and correlates of a positive ARFID screen. 4.7% of respondents screened positive for ARFID. A positive ARFID screen was more common among respondents who were younger, male, non-White, Hispanic, and lower income relative to those in other eating disorder diagnostic/risk categories. Respondents with possible ARFID frequently reported suicidal ideation and were rarely in treatment for an eating disorder. Lack of interest in food or eating was the most common clinical feature among those with possible ARFID.

This study assessed feasibility and psychometric properties of the Hebrew parent version of the Pediatric Symptom Checklist (PSC-17), aiming to improve treatment access for children and adolescents with behavioral and mental needs through early screening. The PSC-17 and the Strengths and Difficulties Questionnaire (SDQ) were filled in the waiting room, at three ambulatory clinics in a tertiary pediatric center, by 274 parents using a tablet or their cellphone. Demographic and clinical data were retrieved from patients\' files. PSC results were compared to SDQ results and assessed vis-a-vis a psychiatric diagnosis, determined previously and independently by trained pediatric psychiatrists for 78 pediatric patients who attended these clinics. Construct and discriminant validity of the PSC-17 Hebrew version were good. Sensitivity, specificity, and positive and negative predictive values are presented. The PSC-17 (Hebrew version) was found to be a feasible tool for mental health screening at pediatric ambulatory care clinics.