Comparison of functional features and user experience with different types of video laryngoscopes when used on neonatal manikins
Year: 2026
Type: article
Abstract: BACKGROUND: A wide range of neonatal-specific video laryngoscopes (VLs) are now available, each offering unique design features. Understanding these differences is essential to support training and optimise clinical use in neonatal airway management. OBJECTIVE: To compare the physical and functional characteristics of four commonly used neonatal VLs and assess user experience. METHODS: In this observational study, four VL systems-C-MAC, GlideScope, InfantView and NeoView were evaluated. A technical comparison of blade design and dimensions was performed across available blade sizes, alongside a conventional Miller blade. Medical professionals attending a neonatal airway workshop then used each device on neonatal manikins and rated their experience using a 4-point scale across six domains: ease of use, airway visualisation, ease of intubation, image quality, blade size and blade design. RESULTS: A total of 23 participants with varied clinical backgrounds completed the evaluation. While 65% routinely performed neonatal intubations, 80% reported fewer than 10 intubations annually and 65% preferred conventional laryngoscopy. Following the trial, most participants favoured the C-MAC and NeoView VLs, and GlideScope was perceived to mimic conventional laryngoscope. The NeoView and C-MAC devices had the shortest distance between the camera and the distal blade tip. All VLs supported video and image capture. NeoView and GlideScope used disposable blades, while others employed reusable blades. CONCLUSIONS: This study provides a systematic comparison of the physical features and user preferences for commonly available neonatal VLs. These insights can guide equipment selection, inform training programmes and promote safer neonatal airway management.
Language: English
Subfield: Anesthesiology and Pain Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W7141114396
