Imperial College London
Portrait Picture

ProfessorMaryMorrell

Faculty of Medicine, National Heart & Lung Institute

Professor of Sleep & Respiratory Physiology
 
 
 
//

Contact

 

m.morrell

 
 
//

Location

 

Room 103ASir Alexander Fleming BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Brill:2017:10.1111/resp.13074,
author = {Brill, A-K and Moghal, M and Morrell, MJ and Simonds, AK},
doi = {10.1111/resp.13074},
journal = {Respirology},
pages = {1343--1349},
title = {Randomized crossover trial of a pressure sensing visual feedback system to improve mask fitting in noninvasive ventilation.},
url = {http://dx.doi.org/10.1111/resp.13074},
volume = {22},
year = {2017}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Brill,A-K
AU  - Moghal,M
AU  - Morrell,MJ
AU  - Simonds,AK
DO  - 10.1111/resp.13074
EP  - 1349
PY  - 2017///
SP  - 1343
TI  - Randomized crossover trial of a pressure sensing visual feedback system to improve mask fitting in noninvasive ventilation.
T2  - Respirology
UR  - http://dx.doi.org/10.1111/resp.13074
UR  - https://www.ncbi.nlm.nih.gov/pubmed/28508568
VL  - 22
ER  -
Download