Clinical Prediction Models in Neurocritical Care: An Overview of the Literature and Example Application to Prediction of Hospital Mortality in Traumatic Brain Injury.

Clinical prediction models serve as valuable instruments for assessing the risk of crucial outcomes and facilitating decision-making in clinical settings. Constructing these models requires nuanced analytical decisions and expertise informed by the current statistical literature. Access and thorough understanding of such literature may be limited for neurocritical care physicians, which may hinder the interpretation of existing predictive models. The present emphasis is on narrowing this knowledge gap by providing neurocritical care specialists with methodological guidance for interpreting predictive models in neurocritical care. Presented are the statistical learning principles integral to constructing a model predicting hospital mortality (nonsurvival during hospitalization) in patients with moderate and severe blunt traumatic brain injury using components of the IMPACT-Core model. Discussion encompasses critical elements such as model flexibility, hyperparameter selection, data imbalance, cross-validation, model assessment (discrimination and calibration), prediction instability, and probability thresholds. The intricate interplay among these components, the data set, and the clincal context of neurocritical care is elaborated. Leveraging this comprehensive exploration of statistical learning can enhance comprehension of articles encompassing model generation, tailored clinical care, and, ultimately, better interpretation and clinical applicability of predictive models.

Comparing brief video interventions to reduce public and self-stigma: Randomized control trial.

AIM: Stigma is a major mental healthcare barrier. This study compares the efficacy of two types of brief video interventions, targeting public and self-stigma, in reducing public stigma towards people living with psychosis. We hypothesized both interventions would similarly reduce public stigma and outperform the control group. As a secondary analysis, we explored the effect of familiarity with a person living with serious mental illness (SMI). METHODS: Participants (N = 1215) aged 18-35 recruited through crowdsourcing were assessed pre- and post-intervention and at 30-day follow-up regarding five public stigma domains: social distance, stereotyping, separateness, social restriction and perceived recovery. Both videos present individual narratives using different approaches: the self-stigma video was created through focus groups, while the public stigma video portrays a single person's journey. RESULTS: A 3 × 3 analysis of variance (ANOVA) revealed a significant group-by-time interaction across all five stigma-related domains (p's < .001). Effect sizes (Cohen's d) ranged from 0.29 to 0.52 (baseline to post-intervention), and 0.18 to 0.45 (baseline to 30-day follow-up). The two video interventions did not significantly differ. Linear mixed modelling showed a significant difference between participants familiar and unfamiliar with people living with SMI for the public stigma video, with greater stigma reductions for unfamiliar participants. CONCLUSIONS: This study corroborates previous findings on the positive influence of social contact-based interventions on youth mental health perceptions. Results provide insights into the relationship between public and self-stigma and the impact that familiarity with SMI may have on the efficacy of stigma reduction efforts further validation in diverse groups is needed.

Randomized Controlled Trial of a Brief Video Intervention to Reduce Self-Stigma of Mental Illness.

Objective: Self-stigma, a phenomenon wherein individuals internalize self-directed negative stereotypes about mental illness, is associated with negative outcomes related to recovery. This randomized controlled study assessed the efficacy of a brief social contact-based video intervention in reducing self-stigma in a large sample of individuals ages 18-35 endorsing an ongoing mental health condition. We hypothesized that the brief video would reduce self-stigma.Methods: In January and February 2023, we recruited and assigned 1,214 participants to a brief video-based intervention depicting a young individual living with mental illness sharing his personal story or to a non-intervention control. In the 2-minute video, informed by focus groups, a young individual described struggles with mental illness symptoms; this was balanced with descriptions of living a meaningful and productive life. Self-stigma assessments (Stereotype Endorsement, Alienation, Stigma Resistance, Perceived Devaluation Discrimination, Secrecy, and Recovery Assessment Scale) were conducted pre- and post-intervention and at 30-day follow-up.Results: A 2 ✕ 3 group-by-time analysis of variance showed that mean self-stigma scores decreased in the intervention arm relative to control across 5 of 6 self-stigma domains: Stereotype Endorsement (P = .006), Alienation (P < .001), Stigma Resistance (P = .004), Secrecy (P < .001), and Recovery Assessment Scale (P < .001). Cohen d effect sizes ranged from 0.22 to 0.46 for baseline to post-intervention changes. Baseline and 30-day follow-up assessments did not significantly differ.Conclusions: A 2-minute social contact-based video intervention effectively yielded an immediate but not a lasting decrease in self-stigma among young individuals with ongoing mental health conditions. This is the first study to examine the effect of a video intervention on self-stigma. Future trials of self-stigma treatment interventions should explore whether combining existing interventions with brief videos enhances intervention effects.Trial Registration: NCT05878470.

"It's Tough to Be a Black Man with Schizophrenia": Randomized Controlled Trial of a Brief Video Intervention to Reduce Public Stigma.

BACKGROUND AND HYPOTHESIS: Racial discrimination and public stigma toward Black individuals living with schizophrenia create disparities in treatment-seeking and engagement. Brief, social-contact-based video interventions efficaciously reduce stigma. It remains unclear whether including racial identity experiences in video narrative yields greater stigma reduction. We hypothesized that we would replicate findings showing sustained stigma reduction in video-intervention groups vs control and that Black participants would show greater stigma reduction and emotional engagement than non-Black participants only for a racial-insights video presenting a Black protagonist. STUDY DESIGN: Recruiting using a crowdsourcing platform, we randomized 1351 participants ages 18-30 to (a) brief video-based intervention, (b) racial-insights-focused brief video, or (c) non-intervention control, with baseline, post-intervention, and 30-day follow-up assessments. In 2-minute videos, a young Black protagonist described symptoms, personal struggles, and recovery from schizophrenia, with or without mentioning race-related experiences. STUDY RESULTS: A 3 × 3 ANOVA showed a significant group-by-time interaction for total scores of each of five stigma-related domains: social distance, stereotyping, separateness, social restriction, and perceived recovery (all P < .001). Linear mixed modeling showed a greater reduction in stigma from baseline to post-intervention among Black than non-Black participants in the racial insights video group for the social distance and social restriction domains. CONCLUSIONS: This randomized controlled trial replicated and expanded previous findings, showing the anti-stigma effects of a brief video tailored to race-related experiences. This underscores the importance of personalized, culturally relevant narratives, especially for marginalized groups who, more attuned to prejudice and discrimination, may particularly value identification and solidarity. Future studies should explore mediators/moderators to improve intervention efficacy.

The Need to Adapt the Psychiatric Clinical Assessment to the Digital Age: A Practical Approach.

The use of electronic devices and social media is becoming a ubiquitous part of most people's lives. Although researchers are exploring the sequelae of such use, little attention has been given to the importance of digital media use in routine psychiatric assessments of patients. The nature of technology use is relevant to understanding a patient's lifestyle and activities, the same way that it is important to evaluate the patient's occupation, functioning, and general activities. The authors propose a framework for psychiatric inquiry into digital media use, emphasizing that such inquiry should focus on quality of use, including emotional and behavioral consequences, rather than simply the amount of use.

Transcranial Magnetic Stimulation of the Default Mode Network to Improve Sleep in Individuals With Insomnia Symptoms: Protocol for a Double-Blind Randomized Controlled Trial.

BACKGROUND: Cortical hyperarousal and ruminative thinking are common aspects of insomnia that have been linked with greater connectivity in the default mode network (DMN). Therefore, disrupting network activity within the DMN may reduce cortical and cognitive hyperarousal and facilitate better sleep. OBJECTIVE: This trial aims to establish a novel, noninvasive method for treating insomnia through disruption of the DMN with repetitive transcranial magnetic stimulation, specifically with continuous theta burst stimulation (cTBS). This double-blind, pilot randomized controlled trial will assess the efficacy of repetitive transcranial magnetic stimulation as a novel, nonpharmacological approach to improve sleep through disruption of the DMN prior to sleep onset for individuals with insomnia. Primary outcome measures will include assessing changes in DMN functional connectivity before and after stimulation. METHODS: A total of 20 participants between the ages of 18 to 50 years with reported sleep disturbances will be recruited as a part of the study. Participants will then conduct an in-person screening and follow-on enrollment visit. Eligible participants then conduct at-home actigraphic collection until their first in-residence overnight study visit. In a double-blind, counterbalanced, crossover study design, participants will receive a 40-second stimulation to the left inferior parietal lobule of the DMN during 2 separate overnight in-residence visits. Participants are randomized to the order in which they receive the active stimulation and sham stimulation. Study participants will undergo a prestimulation functional magnetic resonance imaging scan and a poststimulation functional magnetic resonance imaging scan prior to sleep for each overnight study visit. Sleep outcomes will be measured using clinical polysomnography. After their first in-residence study visit, participants conduct another at-home actigraphic collection before returning for their second in-residence overnight study visit. RESULTS: Our study was funded in September 2020 by the Department of Defense (W81XWH2010173). We completed the enrollment of our target study population in the October 2022 and are currently working on neuroimaging processing and analysis. We aim to publish the results of our study by 2024. Primary neuroimaging outcome measures will be tested using independent components analysis, seed-to-voxel analyses, and region of interest to region of interest analyses. A repeated measures analysis of covariance (ANCOVA) will be used to assess the effects of active and sham stimulation on sleep variables. Additionally, we will correlate changes in functional connectivity to polysomnography-graded sleep. CONCLUSIONS: The presently proposed cTBS protocol is aimed at establishing the initial research outcomes of the effects of a single burst of cTBS on disrupting the network connectivity of the DMN to improve sleep. If effective, future work could determine the most effective stimulation sites and administration schedules to optimize this potential intervention for sleep problems. TRIAL REGISTRATION: ClinicalTrials.gov NCT04953559; https://clinicaltrials.gov/ct2/show/NCT04953559. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/51212.