This prospective, randomized, single-blind simulation study aims to evaluate and compare the educational efficacy of a hybrid instructional modality-combining point-of-view (POV) video training and structured mental practice (MP)-against standard instructor-led live demonstration for neonatal laryngeal mask airway (LMA) insertion training among novice healthcare professionals. Learning neonatal airway management skills presents unique educational and cognitive challenges, especially for non-physician providers who are frequently required to perform these high-stakes interventions during the Neonatal Resuscitation Program (NRP) curricula.
A total of 52 eligible healthcare professionals (including physicians, midwives, nurses, paramedics, and emergency medical technicians) with no prior neonatal LMA insertion experience will be prospectively enrolled and randomly allocated into two equal parallel groups (n=26 per group). Group A (Control) will receive a standard, step-by-step 5-minute live instructor demonstration on a high-fidelity term neonatal simulator. Group B (Intervention) will view a 3-minute standardized POV video captured from a first-person perspective via a head-mounted action camera worn by an expert instructor, immediately followed by a 1-minute structured mental rehearsal, with no live demonstration provided.
Following the respective educational interventions, all participants will individually perform the neonatal LMA insertion on the simulator in a separate room. A trained evaluator, who remains strictly blinded to the group assignments, will record the performance outcomes. The primary outcome measures are the objective total OSCE score (evaluated via a 22-item standardized checklist) and the physical procedural completion time in seconds. Secondary outcomes include first-attempt success rates, critical error rates, instances of excessive force application, airway trauma or procedural failure, and subjective cognitive workload dimensions assessed via the NASA Task Load Index (NASA-TLX) questionnaire. The findings will provide insights into scalable, cost-effective, and cognitively optimized learning models for integration into neonatal resuscitation training frameworks.