Randomized crossover trial of a pressure sensing visual feedback system to improve mask fitting in noninvasive ventilation

Authors:
Open Access
Publisher website
Google Scholar
Abstract
Background and objective: A good mask fit, avoiding air leaks and pressure effects on the skin are key elements for a successful noninvasive ventilation (NIV). However, delivering practical training for NIV is challenging, and it takes time to build experience and competency. This study investigated whether a pressure sensing system with real‐time visual feedback improved mask fitting.Methods: During an NIV training session, 30 healthcare professionals (14 trained in mask fitting and 16 untrained) performed two mask fittings on the same healthy volunteer in a randomized order: one using standard mask‐fitting procedures and one with additional visual feedback on mask pressure on the nasal bridge. Participants were required to achieve a mask fit with low mask pressure and minimal air leak (P < 0.001). Both untrained and trained healthcare professionals were able to reduce the pressure on the nasal bridge (74.5 ± 21.2 mm Hg vs 66.1 ± 17.4 mm Hg, P = 0.023 and 67 ± 12.1 mm Hg vs 60 ± 10.6 mm Hg, P = 0.002, respectively) using the feedback system and self‐rated confidence increased in the untrained group.Conclusion: Real‐time visual feedback using pressure sensing technology supported healthcare professionals during mask‐fitting training, resulted in a lower pressure on the skin and better mask fit for the volunteer, with increased staff confidence.
Funding Information
  • European Respiratory Society (LTRF 2013-1798)

This publication has 27 references indexed in Scilit: