Doctors and nurses suffer different mental health conditions following traumatic incidents. We systematically synthesized existing evidence on the prevalence of anxiety, depression, and post-traumatic stress disorder (PTSD) and their associated risk factors among doctors and nurses following mass casualty incidents (MCIs). Systematic review. Seven databases were searched (2010-2022) with peer-reviewed articles in English using the predefined keywords. Two reviewers screened the titles, abstracts, and full texts using the eligibility criteria and extracted data independently. We used the National Institutes of Health Quality Assessment Tools (NIH-QAT) and the Critical Appraisal Skills Programme checklist (CASP) to measure the quality appraisal of the included studies. A total of 5170 articles were retrieved, and 2512 articles were assessed by title and abstract (53 were eligible for full-text review). Finally, we included 19 studies. Most were assessed as of fair quality with a considerable risk of bias. PTSD was the highest-reported mental health condition. Nurses reported higher mental conditions, particularly PTSD. Two sets of risk factors (personal and workplace) are associated with anxiety, depression, and PTSD were found. MCIs have a significant impact on the mental health outcomes of emergency health workers. Preventive measures should be designed considering the high-risk group, personal, and organizational risk factors of mental health outcomes.

Since its initial launching, ChatGPT has gained significant attention from the media, with many claiming that ChatGPT’s arrival is a transformative milestone in the advancement of the AI revolution. Our aim was to assess the performance of ChatGPT before and after teaching the triage of mass casualty incidents by utilizing a validated questionnaire specifically designed for such scenarios. In addition, we compared the triage performance between ChatGPT and medical students. Our cross-sectional study employed a mixed-methods analysis to assess the performance of ChatGPT in mass casualty incident triage, pre- and post-teaching of Simple Triage And Rapid Treatment (START) triage. After teaching the START triage algorithm, ChatGPT scored an overall triage accuracy of 80%, with only 20% of cases being over-triaged. The mean accuracy of medical students on the same questionnaire yielded 64.3%. Qualitative analysis on pre-determined themes on ‘walking-wounded’, ‘respiration’, ‘perfusion’, and ‘mental status’ on ChatGPT showed similar performance in pre- and post-teaching of START triage. Additional themes on ‘disclaimer’, ‘prediction’, ‘management plan’, and ‘assumption’ were identified during the thematic analysis. ChatGPT exhibited promising results in effectively responding to mass casualty incident questionnaires. Nevertheless, additional research is necessary to ensure its safety and efficacy before clinical implementation.

The associations between digital media use and mental well-being among children and adolescents have been inconclusive. We examined (i) the associations between digital media use and mental health outcomes, anxiety, depression, and ADHD, (ii) whether family resilience and neighborhood factors attenuate the associations, and (iii) whether sleep mediates these associations. We used the National Survey of Children’s Health data from 2019 to 2020. A total of 45,989 children’s (6–17 years) data were analyzed in this study. Multivariate logistic regression was used to assess the associations between digital media use and anxiety, depression, and ADHD. Path models and Paramed command in STATA were used to test the role of sleep as a mediator of these associations. The prevalence of heavy digital media users (who spent 4 or more hours per day) among the analytic sample was 30.52%, whereas anxiety was 13.81%, depression was 5.93%, and ADHD was 12.41%. Children in the heavy media user group had 63% increased odds of anxiety (95% CI: 1.32–2.01) and 99% increased odds of depression (95% CI: 1.35–2.94) after adjusting for sociodemographic factors, compared to the children in light media user group (who spent < 2 h per day), and these relations were significant at 0.01 level. However, family resilience and community factors significantly attenuated the effect of digital media use on anxiety and depression. Sleep did not mediate the associations between digital media use and anxiety or depression. Conclusions: Family resilience and neighborhood factors protect against the harmful effects of digital media use. Further research is needed to examine the relationships of media contents, the presence of electronic devices in bedrooms, and sleep quality with mental health. What is Known: • Spending long hours on digital media may adversely affect children and adolescents' health and development. However, the mediating role of sleep in the association between digital media use and mental health outcomes is inconclusive. What is New: • Digital media use has detrimental effects on anxiety and depression. However, family resilience and neighborhood factors attenuated the association. The study highlights the importance of positive family functioning and neighborhood conditions reducing the harmful effects of digital media use.

Early life psychosocial adversities and developmental disorders are common among children in the United States. However, there is relatively little research on how family processes and neighborhood-level factors may promote well-being among children dually burdened with developmental disorders (DD) and adverse childhood experience (ACE). Using secondary analysis of the National Survey of Children’s Health 2016–2018 (N = 56,831), we examined the associations of family resilience and other protective factors with flourishing and school engagement among subgroups of children with dual exposure to DD and ACE. Results indicate that family resilience, family meals, and mother’s mental health promote flourishing and school engagement amid varying levels of exposure to ACE and DD. Social interventions designed to improve family and neighborhood resources can protect child well-being amid multiple adversities.