Diagnostic bedside ultrasound is increasingly prevalent in training and clinical use across the pediatric critical care medicine landscape despite frequently absent core programmatic infrastructural elements. These core elements are perceived as important to program development, regardless of division unit size. Shared standardized resources may assist in reducing the effort in core element implementation and allow us to measure important educational and clinical outcomes.

Tracheal intubation overall success improved significantly during the course of fellowship; however, the tracheal intubation first attempt success rates did not. Large variance existed in individual tracheal intubation performance over time. Further investigations on a larger scale across different training programs are necessary to clarify intensity and duration of the training to achieve tracheal intubation procedural competency.

Objectives: The coronavirus disease 2019 pandemic has required that hospitals rapidly adapt workflows and processes to limit disease spread and optimize the care of critically ill children. Design and Setting: As part of our institution’s coronavirus disease 2019 critical care workflow design process, we developed and conducted a number of simulation exercises, increasing in complexity, progressing to intubation wearing personal protective equipment, and culminating in activation of our difficult airway team for an airway emergency. Patients and Interventions: In situ simulations were used to identify and rework potential failure points to generate guidance for optimal airway management in coronavirus disease 2019 suspected or positive children. Subsequent to this high-realism difficult airway simulation was a real-life difficult airway event in a patient suspected of coronavirus disease 2019 less than 12 hours later, validating potential failure points and effectiveness of rapidly generated guidance. Measurements and Main Results: A number of potential workflow challenges were identified during tabletop and physical in situ manikin-based simulations. Experienced clinicians served as participants, debriefed, and provided feedback that was incorporated into local site clinical pathways, job aids, and suggested practices. Clinical management of an actual suspected coronavirus disease 2019 patient with difficult airway demonstrated very similar success and anticipated failure points. Following debriefing and assembly of a success/failure grid, a coronavirus disease 2019 airway bundle template was created using these simulations and clinical experiences for others to adapt to their sites. Conclusions: Integration of tabletop planning, in situ simulations, and debriefing of real coronavirus disease 2019 cases can enhance planning, training, job aids, and feasible policies/procedures that address human factors, team communication, equipment choice, and patient/provider safety in the coronavirus disease 2019 pandemic era.

Cricoid pressure may impede or even prevent fibreoptic laryngoscopic intubation with the WuScope System(TM).

Introduction: Despite its widespread application in medical education, belonging to a single community of practice does not reflect the overall experience of physicianeducators. Knowing how physician-educators find their way among different communities of practice (ie their landscape of practice) has implications for professional development but the limited description in the literature. In this longitudinal qualitative research, we explored how physicians who pursue graduate degrees in medical education navigate their landscape of practice.Methods: 11/29 physicians in one cohort of a masters in medical education programme were interviewed annually from 2016 (programme start) to 2020 (2 years post-graduation). We iteratively collected and analysed data, creating inductive codes and categorising coded data by mode of identification (engagement, imagination, alignment) and time. We organised narratives into time-ordered data matrices so that final analysis wove together mode, time and participant.Results: All participants consistently spoke of navigating their landscape of practice, which included the community created in the graduate programme; but that single community 'doesn't define the journey itself'. They shifted engagement from teaching individual learners to translating what they learned in the graduate programme to develop educational projects and produce scholarship. They shifted the imagination from relying on internal and external assessments to experience-inspired versions of their future self. And they shifted alignment from belonging to the graduate programme's community of practice, then belonging to different communities in their landscape of practice and ultimately focussing on communities that mattered most to them. Discussion: Physicians in a graduate programme in medical education navigated their dynamic landscape of practice by shifting how they engaged in medical education, as well as what they imagined and who they aligned with as physician-educators. Our work offers novel insights into how knowledgeability emerges through time as overlapping modes of identification.

Despite an increasingly diverse population, an unmet demand for undergraduates from underrepresented racial and ethnic minority (URM) backgrounds exists in the field of medicine as a result of financial hurdles and insufficient educational support faced by URM students in the premedical journey. With the capacity to provide highly individualized and accessible no- or low-cost dynamic instruction, large language models (LLMs) and their chatbot derivatives are posed to change this dynamic and subsequently help shape a more diverse future physician workforce. While studies have established the passing performance and insightful explanations of one of the most accurate LLM-powered chatbots to date, Chat Generative Pre-trained Transformer (ChatGPT), on standardized exams such as medical licensing exams, the role of ChatGPT in premedical education remains unknown. We evaluated the performance of ChatGPT on the Medical College Admission Test (MCAT), a standardized 230-question multiple choice exam that assesses a broad range of competencies in the natural, physical, social, and behavioral sciences as well as critical analysis and reasoning. Depending on its visual item response strategy, ChatGPT performed at or above the median performance of 276,779 student test takers on the MCAT. Additionally, ChatGPT-generated answers demonstrated both a high level of agreement with the official answer key as well as insight into its explanations. Based on these promising results, we anticipate two primary applications of ChatGPT and future LLM iterations in premedical education: firstly, such models could provide free or low-cost access to personalized and insightful explanations of MCAT competency-related questions to help students from all socioeconomic and URM backgrounds. Secondly, they could be used to generate additional test questions by test-makers or for targeted preparation by pre-medical students. These applications of ChatGPT in premedical education could be an invaluable, innovative path forward to increase diversity and improve equity among premedical students.

Objectives: To describe the practice analysis undertaken by a task force convened by the American Board of Pediatrics Pediatric Critical Care Medicine Sub-board to create a comprehensive document to guide learning and assessment within Pediatric Critical Care Medicine. Design: An in-depth practice analysis with a mixed-methods design involving a descriptive review of practice, a modified Delphi process, and a survey. Setting: Not applicable. Subjects: Seventy-five Pediatric Critical Care Medicine program directors and 2,535 American Board of Pediatrics Pediatric Critical Care Medicine diplomates. Interventions: A practice analysis document, which identifies the full breadth of knowledge and skill required for the practice of Pediatric Critical Care Medicine, was developed by a task force made up of seven pediatric intensivists and a psychometrician. The document was circulated to all 75 Pediatric Critical Care Medicine fellowship program directors for review and comment and their feedback informed modifications to the draft document. Concurrently, data from creation of the practice analysis draft document were also used to update the Pediatric Critical Care Medicine, was developed by a task force made up of seven pediatric intensivists and a psychometrician. The document was circulated to all 75 Pediatrics Pediatric Critical Care Medicine fellowship program directors for review and comment and their feedback informed modifications to the draft document. Concurrently, data from creation of the practice analysis draft document were also used to update the Pediatric Critical Care Medicine content outline, which was sent to all 2,535 American Board of Pediatrics Pediatric Critical Care Medicine diplomates for review during an open-comment period between January 2019 and February 2019, and diplomate feedback was used to make updates to both the content outline and the practice analysis document. Measurements and Main Results: After review and comment by 25 Pediatric Critical Care Medicine program directors (33.3%) and 619 board-certified diplomates (24.4%), a comprehensive practice analysis document was created through a two-stage process. The final practice analysis includes 10 performance domains which parallel previously published Entrustable Professional Activities in Pediatric Critical Care Medicine. These performance domains are made up of between three and eight specific tasks, with each task including the critical knowledge and skills that are necessary for successful completion. The final practice analysis document was also used by the American Board of Pediatrics Pediatric Critical Care Medicine Sub-board to update the Pediatric Critical Care Medicine content outline. Conclusions: A systematic approach to practice analysis, with stakeholder engagement, is essential for an accurate definition of Pediatric Critical Care Medicine practice in its totality. This collaborative process resulted in a dynamic document useful in guiding curriculum development for training programs, maintenance of certification, and lifetime professional development to enable safe and efficient patient care.

Objective: Rapid advancements in medicine and changing standards in medical education require new, efficient educational strategies. We investigated whether an online intervention could increase residents’ knowledge and improve knowledge retention in mechanical ventilation when compared with a clinical rotation and whether the timing of intervention had an impact on overall knowledge gains. Design: A prospective, interventional crossover study conducted from October 2015 to December 2017. Setting: Multicenter study conducted in 33 PICUs across eight countries. Subjects: Pediatric categorical residents rotating through the PICU for the first time. We allocated 483 residents into two arms based on rotation date to use an online intervention either before or after the clinical rotation. Interventions: Residents completed an online virtual mechanical ventilation simulator either before or after a 1-month clinical rotation with a 2-month period between interventions. Measurements and Main Results: Performance on case-based, multiple-choice question tests before and after each intervention was used to quantify knowledge gains and knowledge retention. Initial knowledge gains in residents who completed the online intervention (average knowledge gain, 6.9%; sd, 18.2) were noninferior compared with those who completed 1 month of a clinical rotation (average knowledge gain, 6.1%; sd, 18.9; difference, 0.8%; 95% CI, –5.05 to 6.47; p = 0.81). Knowledge retention was greater following completion of the online intervention when compared with the clinical rotation when controlling for time (difference, 7.6%; 95% CI, 0.7–14.5; p = 0.03). When the online intervention was sequenced before (average knowledge gain, 14.6%; sd, 15.4) rather than after (average knowledge gain, 7.0%; sd, 19.1) the clinical rotation, residents had superior overall knowledge acquisition (difference, 7.6%; 95% CI, 2.01–12.97;p = 0.008). Conclusions: Incorporating an interactive online educational intervention prior to a clinical rotation may offer a strategy to prime learners for the upcoming rotation, augmenting clinical learning in graduate medical education.