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Randomized crossover trial of a pressure sensing visual feedback system to improve mask fitting in noninvasive ventilation
Author(s) -
Brill AnneKathrin,
Moghal Mohammad,
Morrell Mary J.,
Simonds Anita K.
Publication year - 2017
Publication title -
respirology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.857
H-Index - 85
eISSN - 1440-1843
pISSN - 1323-7799
DOI - 10.1111/resp.13074
Subject(s) - medicine , crossover study , visual feedback , health professionals , bridge (graph theory) , ventilation (architecture) , randomized controlled trial , confidence interval , simulation , health care , surgery , computer science , mechanical engineering , computer vision , alternative medicine , pathology , economic growth , engineering , economics , placebo
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 (<10 L/min). Pressure exerted on the nasal bridge, perceived comfort of mask fit and staff‐ confidence were measured. Results Compared with standard mask fitting, a lower pressure was exerted on the nasal bridge using the feedback system (71.1 ± 17.6 mm Hg vs 63.2 ± 14.6 mm Hg , 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.