Provider use of IM epinephrine has improved since anaphylaxis guidelines were published. However, more provider education is needed to improve overall adherence of guidelines in a tertiary care pediatric ED.

Background Mood and anxiety disorders are highly heterogeneous and their underlying pathology is complex. The Research Domain Criteria (RDoC) approach seeks to establish dimensionally and neuroscience-based descriptions of psychopathology that may inform better classification and treatment approaches. The current investigation sought to determine the latent variables underlying positive and negative valence processing in terms of symptoms and behavioral units of analysis. Method As part of an ongoing study, individuals with mood and anxiety problems were recruited largely from primary care clinics at UCLA (n=62) and UCSD (n=58). These participants underwent a comprehensive symptomatic and behavioral assessment. An implicit approach avoidance task and a modified dot probe detection task were used to measure positive and negative valence processing. Results Principal components analysis with varimax rotation identified four symptom components, three behavioral components for the dot probe task, and two behavioral components for the implicit approach avoidance task. These components yielded two meta-components consisting of: negative valence symptoms, negative approach bias, and high sustained, selective attention; and positive valence symptoms, positive approach bias, and slow selective or sustained attention. The components did not differ between males and females, nor by age or medication status. Limitations The limitations are: (1) relatively small sample, (2) exploratory analysis strategy, (3) no test/re-test data, (4) no neural circuit analysis, and (5) limited reliability of behavioral data. Conclusions These preliminary data show that positive and negative valence processing domains load on independent dimensions. Taken together, multi-level assessment approaches combined with advanced statistical analyses may help to identify distinct positive and negative valence processes within a clinical population that cut across traditional diagnostic categories.

Background The COVID-19 pandemic has created disruptions to daily life resulting in wide-spread unemployment and psychological distress. Recent studies have reported high rates of alcohol use during this time; however, longitudinal data remain scarce and factors associated with increases in high-risk drinking observed over time are unknown. Aims The current study examined changes in high-risk drinking patterns across four 7-day observation periods, prior to and following a university wide campus closure. Additionally, factors associated with changes in alcohol use patterns were examined including financial distress, psychological distress, impact of racial tensions and virus-related fears. Method Students (N = 1001) in the Midwestern USA completed repeated assessments between March and June 2020. Each survey included a timeline follow-back measure of alcohol use. Pandemic-related distress spanning several factors was assessed at the final follow-up. Results Risky drinking patterns increased significantly over time. Overall, psychological distress and impact of racial tensions were associated with higher rates of risky drinking, whereas COVID-19-related fears were associated with lower rates. However, only financial-related distress was associated with an increase in risky drinking patterns over time. Conclusions Increased risky drinking patterns observed in the current study may signal problems that are likely to persist even after the direct impact of the COVID-19 pandemic on daily life ends. Individuals experiencing financial distress may represent a particularly high-risk group. Interventions targeting the cross-section of job loss, financial stress and problematic alcohol use will be important to identify.

BackgroundThe rates of cannabis use continue to increase among adolescents and the current interventions have modest effects and high rates of relapse following treatment. There is increasing evidence for the efficacy of mobile technology–based interventions for adults with substance use disorders, but there is limited study of this technology in adolescents who use cannabis.ObjectiveThe goal of our study was to elucidate elements of an app-based adjunctive intervention for cannabis cessation that resonate with adolescents who use cannabis.MethodsAdolescents, aged between 14 and 17 years, who used cannabis were recruited from San Diego County high schools. Semistructured focus groups (6 total; N=37) were conducted to examine the ways in which participants used smartphones, including the use of any health behavior change apps, as well as to elicit opinions about elements that would promote engagement with an app-based intervention for adolescent cannabis cessation. An iterative coding structure was used with first cycle structural coding, followed by pattern coding.ResultsThemes that emerged from the analysis included (1) youth valued rewards to incentivize the progressive reduction of cannabis use, which included both nontangible rewards that mimic those obtained on social media platforms and prosocial activity-related rewards, (2) having the ability to self-monitor progression, (3) peer social support, (4) privacy and confidentiality discrete logo and name and usernames within the app, and (5) individualizing frequency and content of notifications and reminders.ConclusionsIntegrating content, language, interfaces, delivery systems, and rewards with which adolescents who use cannabis are familiar, engage with on a day-to-day basis, and identify as relevant, may increase treatment engagement and retention for adolescents in substance use treatment. We may increase treatment effectiveness by adapting and individualizing current evidence-based interventions, so that they target the needs of adolescents and are more easily incorporated into their everyday routines.

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