Screening for suicidality and its relation to undiagnosed psychiatric comorbidities in children and youth with epilepsy.

INTRODUCTION: Depression and anxiety are the most common psychiatric comorbidities in children and youth with epilepsy (CYE) and known to contribute to suicidality among them. However, not much is known about suicidality in CYE without established psychiatric comorbidities. Our research aimed to fill this knowledge gap and correlate this latent suicidality with screening tests for depression and anxiety. METHOD: After Institutional Review Board (IRB) approval, CYE who attended the epilepsy clinic or underwent testing in the pediatric epilepsy monitoring unit at the Cleveland Clinic and lacked established psychiatric diagnosis were enrolled. They filled out self-reported, validated scales for screening of depression, anxiety, and suicidality (Center for Epidemiological Studies Depression Scale for Children [CES-DC], Screen for Child Anxiety Related Emotional Disorders [SCARED], and Ask Suicide-Screening Questions [ASQ], respectively). Univariate descriptive statistics along with χ2 test of association and independent Student's t-test were performed for statistical analysis. RESULTS: A total of 119 (54.6% females) CYE were included in the study. Close to a third (30.2%) of CYE were positive for anxiety on SCARED, and 41.2% were positive for depression based on CSE-DC scoring. A total of 13 (10.9%) CYE indicated suicidality by answering at least one positive response on ASQ. The SCARED had a low positive correlation with the ASQ (r = 0.32) but a moderate positive correlation with the CES-DC (r = 0.64). CONCLUSION: We found that a small but significant 11% of CYE without any established psychiatric diagnosis expressed suicidality on a self-reported questionnaire. This highlights the importance of using psychiatry screening tests in all CYE. Future research using a larger, diversified cohort is needed to confirm our findings.

Digital conversations about suicide among teenagers and adults with epilepsy: A big-data, machine learning analysis.

OBJECTIVE: Digital media conversations can provide important insight into the concerns and struggles of people with epilepsy (PWE) outside of formal clinical settings and help generate useful information for treatment planning. Our study aimed to explore the big data from open-source digital conversations among PWE with regard to suicidality, specifically comparing teenagers and adults, using machine learning technology. METHODS: Advanced machine-learning empowered methodology was used to mine and structure open-source digital conversations of self-identifying teenagers and adults who endorsed suffering from epilepsy and engaged in conversation about suicide. The search was limited to 12 months and included only conversations originating from US internet protocol (IP) addresses. Natural language processing and text analytics were employed to develop a thematic analysis. RESULTS: A total of 222 000 unique conversations about epilepsy, including 9000 (4%) related to suicide, were posted during the study period. The suicide-related conversations were posted by 7.8% of teenagers and 3.2% of adults in the study. Several critical differences were noted between teenagers and adults. A higher percentage of teenagers are: fearful of "the unknown" due to seizures (63% vs 12% adults), concerned about social consequences of seizures (30% vs 21%), and seek emotional support (29% vs 19%). In contrast, a significantly higher percentage of adults show a defeatist ("given up") attitude compared to teenagers (42% vs 4%). There were important differences in the author's determined sentiments behind the conversations among teenagers and adults. SIGNIFICANCE: In this first of its kind big data analysis of nearly a quarter-million digital conversations about epilepsy using machine learning, we found that teenagers engage in an online conversation about suicide more often than adults. There are some key differences in the attitudes and concerns, which may have implications for the treatment of younger patients with epilepsy.

Development and Validation of the Gatekeeper Behavior Scale.

BACKGROUND: Community-based gatekeeper trainings are effective tools in increasing gatekeeper skills but few validated measures assess impact. AIMS: This study aimed at determining the validity of an 11-item Gatekeeper Behavior Scale (GBS) to assess gatekeeper skills that predict behavior. METHOD: To validate the scale, 8,931 users were administered GBS surveys at pretraining, posttraining, and follow-up periods. The training was one of five from the suite of online At-Risk mental health learning simulations for university faculty/staff or students or high/middle school educators. RESULTS: A confirmatory factor analysis revealed the three-factor model based on the subscales of preparedness, likelihood, and self-efficacy fit the data best. Factor loadings showed all items correlated highly with theoretical constructs (r ≥ .84, p < .001). The GBS had high internal consistency (α = 0.93). Criterion-related validity for likelihood to discuss concerns at posttraining was significantly related to approaching students believed to be in psychological distress (r = .219, p < .001). Likelihood to refer significantly correlated with the number of students referred (r = .235, p < .001). Convergent validity was established via a correlation between self-efficacy in motivating someone to seek help and general self-efficacy (r = .519, p < .001). CONCLUSION: The GBS appears to be a valid tool in measuring the impact of online gatekeeper training simulations and holds promise for assessing other delivery methods.

Ethical dilemmas in pediatric and adolescent psychogenic nonepileptic seizures.

To date, only a very narrow window of ethical dilemmas in psychogenic nonepileptic seizures (PNES) has been explored. Numerous distinct ethical dilemmas arise in diagnosing and treating pediatric and adolescent patients with PNESs. Important ethical values at stake include trust, transparency, confidentiality, professionalism, autonomy of all stakeholders, and justice. In order to further elucidate the ethical challenges in caring for this population, an ethical analysis of the special challenges faced in four specific domains is undertaken: (1) conducting and communicating a diagnosis of PNESs, (2) advising patients about full transparency and disclosure to community including patients' peers, (3) responding to requests to continue antiepileptic drugs, and (4) managing challenges arising from school policy and procedure. An analysis of these ethical issues is essential for the advancement of best care practices that promote the overall well-being of patients and their families.

An independent effectiveness trial of multisystemic therapy with juvenile justice youth.

This study examines the effectiveness of an evidence-based practice, multisystemic therapy (MST), conducted in a real-world mental health setting with juvenile justice involved youth and their families. Importantly, this is the first randomized clinical trial of MST with juvenile offenders in the United States conducted without direct oversight by the model developers. This study reports outcomes achieved for 93 youth randomly assigned to MST or treatment as usual (TAU) services through 18-month follow-up posttreatment for offense data and 6-month follow-up posttreatment for ratings of the Child and Adolescent Functional Assessment Scale (CAFAS). Outcomes include significant reduction in rearrest and improvement in 4 areas of functioning measured by the CAFAS for youth who received MST. Implications for delivery of empirically supported treatments in real-world settings are discussed.