Non-technical skill performance during remote, international, augmented-reality neonatal resuscitation protocol simulations: a feasibility study
Year: 2026
Type: article
Study design: Clinical Trial
Abstract: BACKGROUND: Neonatal resuscitation requires mastery of technical and non-technical skills (NTS). The Neonatal Resuscitation Program (NRP) emphasizes ventilation, along with effective leadership, teamwork, and situational awareness. Simulation-based education is central to NTS training but is resource-intensive with limited access in low- and middle-income countries. Augmented reality (AR) medical simulations offer a scalable, remote solution with fewer logistical barriers. METHODS: We conducted a prospective, single-arm feasibility study evaluating a remote AR medical simulation for assessing NTS during neonatal resuscitation. Instructors based in Northern California (Stanford School of Medicine) remotely facilitated pediatric and anesthesiology residents in Santiago, Chile (University of Chile) as team leaders in an NRP scenario delivered using an AR medical simulator. The primary outcome was NTS performance measured with the Anesthetists' Non-Technical Skills (ANTS) tool. Secondary outcomes included the Behaviorally Anchored Rating Scale (BARS), system usability via the System Usability Scale (SUS), and ergonomics via the ISO 9241 - 400 scale. RESULTS: Thirty-four residents completed all sessions. Participants demonstrated adequate NTS performance, with ANTS scores 2.5-2.9 (scale 1-4) and BARS scores 5.2-5.4 (scale 1-9), similar to those observed in traditional, in-person simulations. SUS responses indicated high usability, and ergonomic results suggested minimal physical or cognitive burden. CONCLUSIONS: This feasibility study shows that participants demonstrated measurable NTS performance during remote, international AR neonatal resuscitation simulations, as assessed using ANTS and BARS.
Source: BMC Medical Education
Authors: Marcos Rojas, Romy Yun, Asheen Rama, Jaime Plane, Claudia Arancibia, Pamela Paredes, Antonello Penna, Yiling Zhao, Thomas J. Caruso
Language: English
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,990
Funder: Universidad de Chile
OpenAlex ID: W7127919341
