Children and young people comprise one quarter of the UK’s population. Neurological trauma (e.g., traumatic brain injury and spinal cord injury) is one of the most common causes of death and disability in this population group, yet health technology innovations for these patients lag behind those for adults.

Using the horizon scanning methodologies developed by the Innovation Observatory, systematic searches were performed to identify registered clinical trials, published funding awards, and news articles that focused on innovative devices and digital and diagnostic health technologies developed for use in children and young people (from 28 days after birth up to and including 18 years of age) with actual or suspected neurological trauma. The search results were screened for relevance, and key information on the included technologies was extracted and summarized.

Twenty-nine technologies were identified, of which 10 were commercially available. The majority were developed in the UK or the USA. Overall, the development pipeline was evenly split amongst technologies considered to be a device (37%), digital (34%), or diagnostic (29%). Most technologies were intended for use across settings by healthcare professionals, either for initial onsite assessment, for in-hospital management, or for rehabilitation in hospital or in the community.

Results from this horizon scan show that development of technologies for pediatric neurological trauma is currently limited, with only a small number of the technologies being developed covering an area of unmet need. To complement the horizon scan, we also sought stakeholder insights on medical technologies for this population group. The combined results and final conclusions will be shared in a future publication.

Knowledge of sex differences in risk factors for posttraumatic stress disorder (PTSD) can contribute to the development of refined preventive interventions. Therefore, the aim of this study was to examine if women and men differ in their vulnerability to risk factors for PTSD.

As part of the longitudinal AURORA study, 2924 patients seeking emergency department (ED) treatment in the acute aftermath of trauma provided self-report assessments of pre- peri- and post-traumatic risk factors, as well as 3-month PTSD severity. We systematically examined sex-dependent effects of 16 risk factors that have previously been hypothesized to show different associations with PTSD severity in women and men.

Women reported higher PTSD severity at 3-months post-trauma. Z-score comparisons indicated that for five of the 16 examined risk factors the association with 3-month PTSD severity was stronger in men than in women. In multivariable models, interaction effects with sex were observed for pre-traumatic anxiety symptoms, and acute dissociative symptoms; both showed stronger associations with PTSD in men than in women. Subgroup analyses suggested trauma type-conditional effects.

Our findings indicate mechanisms to which men might be particularly vulnerable, demonstrating that known PTSD risk factors might behave differently in women and men. Analyses did not identify any risk factors to which women were more vulnerable than men, pointing toward further mechanisms to explain women's higher PTSD risk. Our study illustrates the need for a more systematic examination of sex differences in contributors to PTSD severity after trauma, which may inform refined preventive interventions.

Several hypotheses may explain the association between substance use, posttraumatic stress disorder (PTSD), and depression. However, few studies have utilized a large multisite dataset to understand this complex relationship. Our study assessed the relationship between alcohol and cannabis use trajectories and PTSD and depression symptoms across 3 months in recently trauma-exposed civilians.

In total, 1618 (1037 female) participants provided self-report data on past 30-day alcohol and cannabis use and PTSD and depression symptoms during their emergency department (baseline) visit. We reassessed participant's substance use and clinical symptoms 2, 8, and 12 weeks posttrauma. Latent class mixture modeling determined alcohol and cannabis use trajectories in the sample. Changes in PTSD and depression symptoms were assessed across alcohol and cannabis use trajectories via a mixed-model repeated-measures analysis of variance.

Three trajectory classes (low, high, increasing use) provided the best model fit for alcohol and cannabis use. The low alcohol use class exhibited lower PTSD symptoms at baseline than the high use class; the low cannabis use class exhibited lower PTSD and depression symptoms at baseline than the high and increasing use classes; these symptoms greatly increased at week 8 and declined at week 12. Participants who already use alcohol and cannabis exhibited greater PTSD and depression symptoms at baseline that increased at week 8 with a decrease in symptoms at week 12.

Our findings suggest that alcohol and cannabis use trajectories are associated with the intensity of posttrauma psychopathology. These findings could potentially inform the timing of therapeutic strategies.

Posttraumatic stress symptoms (PTSS) are common following traumatic stress exposure (TSE). Identification of individuals with PTSS risk in the early aftermath of TSE is important to enable targeted administration of preventive interventions. In this study, we used baseline survey data from two prospective cohort studies to identify the most influential predictors of substantial PTSS.

Self-identifying black and white American women and men (n = 1546) presenting to one of 16 emergency departments (EDs) within 24 h of motor vehicle collision (MVC) TSE were enrolled. Individuals with substantial PTSS (⩾33, Impact of Events Scale – Revised) 6 months after MVC were identified via follow-up questionnaire. Sociodemographic, pain, general health, event, and psychological/cognitive characteristics were collected in the ED and used in prediction modeling. Ensemble learning methods and Monte Carlo cross-validation were used for feature selection and to determine prediction accuracy. External validation was performed on a hold-out sample (30% of total sample).

Twenty-five percent (n = 394) of individuals reported PTSS 6 months following MVC. Regularized linear regression was the top performing learning method. The top 30 factors together showed good reliability in predicting PTSS in the external sample (Area under the curve = 0.79 ± 0.002). Top predictors included acute pain severity, recovery expectations, socioeconomic status, self-reported race, and psychological symptoms.

These analyses add to a growing literature indicating that influential predictors of PTSS can be identified and risk for future PTSS estimated from characteristics easily available/assessable at the time of ED presentation following TSE.

This study evaluates the personal and professional experiences of physician mothers during the coronavirus disease 2019 (COVID-19) pandemic and the impact of the pandemic on the lives of physician mothers.

Using social media to reach a broad range of physicians, a convenience sample of physician mothers completed an on-line survey posted between April 27 and May 11. Members were encouraged to repost on social media and share with personal contacts resulting in a passive snowball sampling effect.

A total of 2709 physician mothers from 48 states, Puerto Rico, and 19 countries representing more than 25 medical specialties completed the survey. Most were between 30 and 39 y of age, 67% self-identified as white, 17% as Asian, 4% as African American. Most had been working for 11-16 y. A total of 91% had a spouse/partner of the opposite sex. Over half were practicing in an area they identified as high COVID-19 density, while 50% had personally cared for a person with COVID-19. Physician mothers were most concerned about exposing their children to COVID-19 and about the morale and safety of their staff.

This is one of the first studies to explore the personal and professional challenges facing physician mothers during a pandemic. Physician mothers were most concerned about exposing their families to COVID-19. Mothers continued to work and at times increased their work, despite having domestic, childcare, and schooling responsibilities.

This is the first report on the association between trauma exposure and depression from the Advancing Understanding of RecOvery afteR traumA(AURORA) multisite longitudinal study of adverse post-traumatic neuropsychiatric sequelae (APNS) among participants seeking emergency department (ED) treatment in the aftermath of a traumatic life experience.

We focus on participants presenting at EDs after a motor vehicle collision (MVC), which characterizes most AURORA participants, and examine associations of participant socio-demographics and MVC characteristics with 8-week depression as mediated through peritraumatic symptoms and 2-week depression.

Eight-week depression prevalence was relatively high (27.8%) and associated with several MVC characteristics (being passenger v. driver; injuries to other people). Peritraumatic distress was associated with 2-week but not 8-week depression. Most of these associations held when controlling for peritraumatic symptoms and, to a lesser degree, depressive symptoms at 2-weeks post-trauma.

These observations, coupled with substantial variation in the relative strength of the mediating pathways across predictors, raises the possibility of diverse and potentially complex underlying biological and psychological processes that remain to be elucidated in more in-depth analyses of the rich and evolving AURORA database to find new targets for intervention and new tools for risk-based stratification following trauma exposure.