Faculty Bibliography

OBJECTIVE:Research has demonstrated the effectiveness of interventions to reduce organizational skills deficits and homework problems, including the clinic-based Organizational Skills Training (OST-C) program (Abikoff et al., 2013). In this study, OST-C was adapted for schools as a small-group (Tier 2) intervention delivered by school partners (OST-T2). METHOD/METHODS:The study was conducted in 22 schools serving students from diverse backgrounds. Students (n = 186; 122 male) in Grades 3-5, ages 8-12 (M = 9.7 years; SD = 0.88) with organizational skills deficits referred by teachers were enrolled. Schools were randomly assigned to OST-T2 or treatment as usual with waitlist. OST-T2 consisted of sixteen 35-min child sessions, two caregivers, and two teacher consultations. Outcomes were evaluated with longitudinal mixed effects modeling at posttreatment, 5-month and 12-month follow-up using caregiver and teacher reports of organizational skills, homework, and academic performance. RESULTS:OST-T2 resulted in reductions in organizational skills deficits on caregiver and teacher report (p < .001) at posttreatment and 5-month follow-up (effect sizes [ES], Cohen's d = 0.96, 1.20). Findings also revealed a reduction in caregiver-reported homework problems at posttreatment and 5-month follow-up (p < .001, ES = 0.60, 0.72), and an improvement in teacher-rated homework at posttreatment (p = .007, ES = 0.64). Effects were attenuated at 12-month follow-up. The effects of OST-T2 on academic measures were not significant. CONCLUSIONS:Findings provide evidence for the immediate and short-term effectiveness of OST-T2 delivered by school professionals. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The HEALthy Brain and Child Development (HBCD) Study, a multi-site prospective longitudinal cohort study, will examine human brain, cognitive, behavioral, social, and emotional development beginning prenatally and planned through early childhood. Electroencephalography (EEG) is one of two brain imaging modalities central to the HBCD Study. EEG records electrical signals from the scalp that reflect electrical brain activity. In addition, the EEG signal can be synchronized to the presentation of discrete stimuli (auditory or visual) to measure specific cognitive processes with excellent temporal precision (e.g., event-related potentials; ERPs). EEG is particularly helpful for the HBCD Study as it can be used with awake, alert infants, and can be acquired continuously across development. The current paper reviews the HBCD Study's EEG/ERP protocol: (a) the selection and development of the tasks (Video Resting State, Visual Evoked Potential, Auditory Oddball, Face Processing); (b) the implementation of common cross-site acquisition parameters and hardware, site setup, training, and initial piloting; (c) the development of the preprocessing pipelines and creation of derivatives; and (d) the incorporation of equity and inclusion considerations. The paper also provides an overview of the functioning of the EEG Workgroup and the input from members across all steps of protocol development and piloting.

INTRODUCTION/UNASSIGNED:Depressive symptoms are linked with pain, anxiety, and substance use. Research estimating whether a reduction in depressive symptoms is linked to subsequent reductions in pain and anxiety symptoms and substance use is limited. METHODS/UNASSIGNED:Using data from the Veterans Aging Cohort Study, a multisite observational study of U.S. veterans, the authors used a target trial emulation framework to compare individuals with elevated depressive symptoms (Patient Health Questionnaire-9 score ≥ 10) who experienced reductions in depressive symptoms (Patient Health Questionnaire-9 score < 10) with those whose symptoms persisted (Patient Health Questionnaire-9 score ≥ 10) at the next follow-up visit (on average, 1 year later). Using inverse probability of treatment weighting, the authors estimated ORs and 95% CIs for associations between depressive symptom reduction status and improvement on the following: anxiety symptoms, pain symptoms, unhealthy alcohol use, and use of tobacco, cannabis, cocaine, and/or illicit opioids. RESULTS/UNASSIGNED:Reductions in depressive symptoms were associated with reductions in pain symptoms (OR=1.43, 95% CI=1.01, 2.02), anxiety symptoms (OR=2.50, 95% CI=1.63, 3.83), and illicit opioid use (OR=2.07, 95% CI=1.13, 3.81). Depressive symptom reductions were not associated with reductions in unhealthy alcohol use (OR=0.85, 95% CI=0.48, 1.52) or use of tobacco (OR=1.49, 95% CI=0.89, 2.48), cannabis (OR=1.07, 95% CI=0.63, 1.83), or cocaine (OR=1.28, 95% CI=0.73, 2.24). CONCLUSIONS/UNASSIGNED:Reducing depressive symptoms may potentially reduce pain and anxiety symptoms and illicit opioid use. Future work should determine whether reductions achieved through antidepressant medications, behavioral therapy, or other means have comparable impact.

AIM/OBJECTIVE:Schizophrenia is a leading cause of disability worldwide; early detection and intervention are critical. Early in their illness, individuals at clinical high-risk (CHR) for psychosis have subthreshold psychotic symptoms that are often derogatory and self-directed. We hypothesized that CHR participants with negative self-reference (NSR) as a component of subthreshold psychosis would also have higher levels of social anxiety and depression, lower self-esteem and lower social/role/global functioning as compared with CHR participants without NSR. METHODS:One hundred and sixty-eight participants from the National Institute of Mental Health (NIMH) funded Regroup Cognitive Behavioural Social Skills Training (CBSST) study were included. Clinical vignettes that included the Scale of Psychosis-Risk Symptoms were coded categorically to indicate whether NSR was present. t-tests were used to determine the association between NSR, symptom, and functional measures. RESULTS:Participants with NSR demonstrated significantly more social interaction anxiety (p < .001), negative beliefs about the self (p ≤ .001), defeatist beliefs (p < .05), depressive symptoms (p < .05) and positive symptoms (p < .005). There were no significant differences in social self-efficacy, positive or negative beliefs about others, positive beliefs about the self or psychosocial functioning between the two groups. CONCLUSIONS:Clinically significant differences were found between CHR participants with and without NSR, suggesting that this may be a useful factor to identify and address. Follow-up studies are needed to determine whether NSR responds to CBSST and whether or not its resolution would be associated with improvement in other symptom domains.

Conducting clinical research in public sector community mental health centers (CMHCs) can be challenging. The purpose of this report is to describe the challenges our research team encountered in engaging CMHC providers in a clinical trial aimed at testing an intervention to improve parent activation and engagement in their child's behavioral healthcare. We discuss the intervention we aimed to test, the challenges we encountered engaging providers, and the barriers to engagement that we identified. The barriers included restrictive inclusion criteria, an ambitious randomized controlled design, a dyadic (provider-parent) recruitment plan, a requirement to record provider-parent sessions, and high day-to-day practice demands on providers. The strategies we used to address the barriers and a discussion of the "trade-offs" these strategies introduced are presented. Improving provider engagement in research in CMHCs can avoid research delays or termination of studies and ultimately mitigate an early blockage in the research-to-practice pipeline.

BACKGROUND:Precision medicine has led to the development of targeted treatment strategies tailored to individual patients based on their characteristics and disease manifestations. Although precision medicine often focuses on a single health outcome for individualized treatment decision rules (ITRs), relying only on a single outcome rather than all available outcomes information leads to suboptimal data usage when developing optimal ITRs. METHODS:To address this limitation, we propose a Bayesian multivariate hierarchical model that leverages the wealth of correlated health outcomes collected in clinical trials. The approach jointly models mixed types of correlated outcomes, facilitating the "borrowing of information" across the multivariate outcomes, and results in a more accurate estimation of heterogeneous treatment effects compared to using single regression models for each outcome. We develop a treatment benefit index, which quantifies the relative benefit of the experimental treatment over the control treatment, based on the proposed multivariate outcome model. RESULTS:We demonstrate the strengths of the proposed approach through extensive simulations and an application to an international Coronavirus Disease 2019 (COVID-19) treatment trial. Simulation results indicate that the proposed method reduces the occurrence of erroneous treatment decisions compared to a single regression model for a single health outcome. Additionally, the sensitivity analyses demonstrate the robustness of the model across various study scenarios. Application of the method to the COVID-19 trial exhibits improvements in estimating the individual-level treatment efficacy (indicated by narrower credible intervals for odds ratios) and optimal ITRs. CONCLUSION/CONCLUSIONS:The study jointly models mixed types of outcomes in the context of developing ITRs. By considering multiple health outcomes, the proposed approach can advance the development of more effective and reliable personalized treatment.