ABSTRACT
OBJECTIVES: To inform development of a preintubation checklist for pediatric emergency departments via multicenter usability testing of a prototype checklist. METHODS: This was a prospective, mixed methods study across 7 sites in the National Emergency Airway Registry for Pediatric Emergency Medicine (NEAR4PEM) collaborative. Pediatric emergency medicine attending physicians and senior fellows at each site were first oriented to a checklist prototype, including content previously identified using a modified Delphi approach. Each site used the checklist in 2 simulated cases: an "easy airway" and a "difficult airway" scenario. Facilitators recorded verbalization, completion, and timing of checklist items. After each simulation, participants completed an anonymous usability survey. Structured debriefings were used to gather additional feedback on checklist usability. Comments from the surveys and debriefing were qualitatively analyzed using a framework approach. Responses informed human factors-based optimization of the checklist. RESULTS: Fifty-five pediatric emergency medicine physicians/fellows (4-13 per site) participated. Participants found the prototype checklist to be helpful, easy to use, clear, and of appropriate length. During the simulations, 93% of checklist items were verbalized and more than 80% were completed. Median time to checklist completion was 6.2 minutes (interquartile range, 4.8-7.1) for the first scenario and 4.2 minutes (interquartile range, 2.7-5.8) for the second. Survey and debriefing data identified the following strengths: facilitating a shared mental model, cognitively offloading the team leader, and prompting contingency planning. Suggestions for checklist improvement included clarifying specific items, providing more detailed prompts, and allowing institution-specific customization. Integration of these data with human factors heuristic inspection resulted in a final checklist. CONCLUSIONS: Simulation-based, human factors usability testing of the National Emergency Airway Registry for Pediatric Emergency Medicine Preintubation Checklist allowed optimization prior to clinical implementation. Next steps involve integration into real-world settings utilizing rigorous implementation science strategies, with concurrent evaluation of the impact on patient outcomes and safety.
Subject(s)
Checklist , Intubation, Intratracheal , Humans , Prospective Studies , Intubation, Intratracheal/methods , Emergency Service, Hospital , Registries , Simulation Training/methods , Emergency Medicine , Surveys and Questionnaires , Male , Female , ErgonomicsABSTRACT
Introduction: Ketamine and propofol are commonly used agents for sedation in the pediatric emergency department (PED). While these medications routinely provide safe sedations, there are side effects providers should be able to recognize and manage. Currently, no pediatric sedation simulations exist in the literature. Methods: We created two sedation simulation cases for learners, including pediatric emergency medicine (PEM) fellows, working in the PED: case 1, a 12-year-old male with a shoulder dislocation requiring reduction under propofol sedation, and case 2, a forearm fracture requiring reduction under ketamine sedation. Learner actions included setting up equipment for sedations, dosing medications correctly, and managing complications. Additionally, in case 2, learners assigned an American Society of Anesthesiologists classification and selected the appropriate candidate for PED sedation from amongst three patients. A debrief followed the cases. Next, a didactic presentation reinforced concepts discussed in the debrief. Participants then completed an evaluation of the simulation. Results: Fifty-eight emergency medicine residents and PEM fellows across four sites at three institutions participated. Participants scored the simulations and the debriefing session on a 5-point Likert scale. Learners rated the scenario as clinically relevant (M = 4.37) and effective at improving their comfort level in caring for critically ill patients (M = 4.36). Learners felt the debrief provided valuable learning (M = 4.40) and was a safe learning environment (M = 4.50). Discussion: These cases can be utilized as resources for learners in any emergency department and can be tailored to any training background of learner providing sedation.
Subject(s)
Emergency Medicine , Ketamine , Pediatric Emergency Medicine , Propofol , Simulation Training , Male , Humans , Child , Pediatric Emergency Medicine/education , Propofol/adverse effects , Emergency Medicine/educationABSTRACT
Mass casualty incidents (MCI), particularly involving pediatric patients, are high-risk, low-frequency occurrences that require exceptional emergency arrangements and advanced preparation. In the aftermath of an MCI, it is essential for medical personnel to accurately and promptly triage patients according to their acuity and urgency for care. As first responders bring patients from the field to the hospital, medical personnel are responsible for prompt secondary triage of these patients to appropriately delegate hospital resources. The JumpSTART triage algorithm (a variation of the Simple Triage and Rapid Treatment, or START, triage system) was originally designed for prehospital triage by prehospital providers but can also be used for secondary triage in the emergency department setting. This technical report describes a novel simulation-based curriculum for pediatric emergency medicine residents, fellows, and attendings involving the secondary triage of patients in the aftermath of an MCI in the emergency department. This curriculum highlights the importance of the JumpSTART triage algorithm and how to effectively implement it in the MCI setting.
ABSTRACT
In a survey of 396 caregivers of children, 119 (30%) reported requesting antibiotics from clinicians and 65 (16%) had stored antibiotics at home. In addition, 47 (12%) reported past or intended nonprescription antibiotic administration; this finding was associated with household income of ≥$75 000 annually (odds ratio 2.042, 95% confidence interval 1.01-4.14, P = .048).