Clinical Considerations for Digital Resources in Care for Patients With Suicidal Ideation.

Smartphone apps offer accessible new tools that may help prevent suicide and that offer support for individuals with active suicidal ideation. Numerous smartphone apps for mental health conditions exist; however, their functionality is limited, and evidence is nascent. A new generation of apps using smartphone sensors and integrating real-time data on evolving risk offers the potential of more personalized support, but these apps present ethical risks and currently remain more in the research domain than in the clinical domain. Nevertheless, clinicians can use apps to benefit patients. This article outlines practical strategies to select safe and effective apps for the creation of a digital toolkit that can augment suicide prevention and safety plans. By creating a unique digital toolkit for each patient, clinicians can help ensure that the apps selected will be most relevant, engaging, and effective.

Central Assessment of Psychosis Service: A Tele-evaluation Service to Support Early Identification of Psychosis.

Duration of untreated psychosis (DUP) is a reliable predictor of longitudinal psychosis trajectory. The limited availability of specialized assessment needed for early identification contributes to a lengthy average DUP in the United States. This column outlines the development of the Central Assessment of Psychosis Service (CAPS), a novel tele-evaluation service that extends specialized expertise in screening and assessment of psychosis and psychosis risk to publicly funded early psychosis clinics. Preliminary implementation outcomes among the first five CAPS sites suggest that CAPS is acceptable, appropriate, and feasible to implement. Programmatic data collection is underway and will be reported at a future date.

ICD-11 Guidelines for Mental and Behavioral Disorders of Children and Adolescents: Reliability and Clinical Utility.

OBJECTIVE: ICD-11 clinical guidelines for mental and behavioral disorders must be tested in clinical settings to guarantee their usefulness worldwide. The purpose of this study was to evaluate interrater reliability and clinical utility of the ICD-11 guidelines for children and adolescents in assessing and diagnosing mood, anxiety, and fear-related disorders; attention-deficit hyperactivity disorder (ADHD); and disruptive behavioral disorder (DBD). METHODS: Children and adolescents ages 6-17 from two specialized settings in Mexico City were interviewed. Each was interviewed by a pair of psychiatrists (interviewer and observer), who independently codified established diagnoses and evaluated the clinical utility of the guidelines with each participant. Kappa values were calculated to determine the level of general diagnostic correlation between the two clinicians. RESULTS: A total of 25 psychiatrists evaluated 52 children and adolescents. Kappa values between clinicians ranged from 0.46 to 0.53 for mood, anxiety, and fear-related disorders and for ADHD; the kappa value was 0.81 for DBD guidelines. Over 80% of psychiatrists reported that the guidelines, qualifiers, and descriptions of developmental presentations were quite useful. CONCLUSIONS: ICD-11 guidelines for mental and behavioral disorders of children and adolescents demonstrated mostly moderate interrater reliability and strong interrater reliability in the case of DBD. A large proportion of clinicians regarded the guidelines as quite useful clinical tools.

Brief Screening Tool for Stepped-Care Management of Mental and Substance Use Disorders.

OBJECTIVE: Stepped mental health care requires a rapid method for nonspecialists to detect illness. This study aimed to develop and validate a brief instrument, the Mental Wellness Tool (mwTool), for identification and classification. METHODS: Cross-sectional development and validation samples included adults at six health facilities in Mozambique. Mini International Neuropsychiatric Interview diagnoses were the criterion standard. Candidate items were from nine mental disorder and functioning assessments. Regression modeling and expert consultation determined best items for identifying any mental disorder and classifying positives into disorder categories (severe mental disorder, common mental disorder, substance use disorder, and suicide risk). For validation, sensitivity and specificity were calculated for any mental disorder (index and proxy respondents) and disorder categories (index). RESULTS: From the development sample (911 participants, mean±SD age=32.0±11 years, 63% female), 13 items were selected-three with 0.83 sensitivity (95% confidence interval [CI]=0.79-0.86) for any mental disorder and 10 additional items classifying participants with a specificity that ranged from 0.72 (severe mental disorder) to 0.90 (suicide risk). For validation (453 participants, age 31±11 years, 65% female), sensitivity for any mental disorder was 0.94 (95% CI=0.89-0.97) with index responses and 0.73 (95% CI=0.58-0.85) with family proxy responses. Specificity for categories ranged from 0.47 (severe mental disorder) to 0.93 (suicide risk). Removing one item increased severe mental disorder specificity to 0.63 (95% CI=0.58-0.68). CONCLUSIONS: The mwTool performed well for identification of any mental disorder with index and proxy responses to three items and for classification into treatment categories with index responses to nine additional items.

A Naturalistic Study of Racial Disparities in Diagnoses at an Outpatient Behavioral Health Clinic.

OBJECTIVE: The authors examined electronic medical record (EMR) outpatient data to determine whether African Americans with schizophrenia or schizoaffective disorder were more likely than non-Latino whites to screen positive for major depression. METHODS: EMR data for 1,657 patients at Rutgers University Behavioral Health Care certified community outpatient clinics were deidentified and accrued for 9 months starting July 1, 2017. A Fisher's exact test was used to compare differences in the proportion of patients with positive screens for major depression (cutoff score of ≥15 on the nine-item Patient Health Questionnaire) among African-American and non-Latino white patients diagnosed as having schizophrenia or schizoaffective disorder. RESULTS: Among patients diagnosed as having schizophrenia, African Americans were more likely than non-Latino whites (p<.003) to screen positive for major depression. The between-group difference in positive screens was not significant among patients diagnosed as having schizoaffective disorder. CONCLUSIONS: The results are consistent with findings from a large body of literature suggesting that racial differences in the diagnosis of schizophrenia in the United States result in part from clinicians underemphasizing the relevance of mood symptoms among African Americans compared with other racial-ethnic groups. If the results are replicated, a case could be made that routine screening for major depression in community mental health settings could reduce racial disparities in schizophrenia diagnoses.

Syndromic Surveillance of Mental and Substance Use Disorders: A Validation Study Using Emergency Department Chief Complaints.

OBJECTIVE: This study evaluated whether emergency department (ED) patient presentations for problems related to mental and substance use disorders could be validly monitored by a syndromic surveillance system that uses chief complaints to identify mental disorders. METHODS: The study used syndromic surveillance data on 146,315 ED visits to participating Fresno County, California, hospitals between January 1 and December 31, 2013. Free-text patient chief complaints are automatically classified into syndromes based on the developer's algorithms. Agreement was assessed between the algorithm's syndrome classification of mental health and substance abuse (MHSA) disorders and ICD-9-CM discharge diagnostic codes. Diagnosis and ED utilization patterns among patients with at least one visit with an MHSA syndrome classification were also examined. RESULTS: Approximately 8% of ED visits during the study period received an MHSA syndrome classification. Overall agreement between MHSA syndrome classification and psychiatric- or substance use-related ICD-9 discharge diagnoses was high (κ=.92, 95% confidence interval=.91-.92). Sensitivity (100%) and specificity (98.6%) of the MHSA syndrome classification were also very high. MHSA syndrome-classified patients exhibited high levels of health care and morbidity burden compared with other patients. CONCLUSIONS: ED chief complaints can be utilized to reliably and validly ascertain the incidence of patient presentations for mental and substance use disorders in contexts in which discharge diagnoses are not routinely available. Wider adoption of MHSA-related syndrome algorithms by syndromic surveillance systems could be valuable for public mental health surveillance, service delivery, and resource planning efforts.