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Objective Assessment of Patient Inhaler User Technique Using an Audio-Based Classification Approach

Many patients make critical user technique errors when using pressurised metered dose inhalers (pMDIs) which reduce the clinical efficacy of respiratory medication. Such critical errors include poor actuation coordination (poor timing of medication release during inhalation) and inhaling too fast (p...

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Autores principales: Taylor, Terence E., Zigel, Yaniv, Egan, Clarice, Hughes, Fintan, Costello, Richard W., Reilly, Richard B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5794789/
https://www.ncbi.nlm.nih.gov/pubmed/29391489
http://dx.doi.org/10.1038/s41598-018-20523-w
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author Taylor, Terence E.
Zigel, Yaniv
Egan, Clarice
Hughes, Fintan
Costello, Richard W.
Reilly, Richard B.
author_facet Taylor, Terence E.
Zigel, Yaniv
Egan, Clarice
Hughes, Fintan
Costello, Richard W.
Reilly, Richard B.
author_sort Taylor, Terence E.
collection PubMed
description Many patients make critical user technique errors when using pressurised metered dose inhalers (pMDIs) which reduce the clinical efficacy of respiratory medication. Such critical errors include poor actuation coordination (poor timing of medication release during inhalation) and inhaling too fast (peak inspiratory flow rate over 90 L/min). Here, we present a novel audio-based method that objectively assesses patient pMDI user technique. The Inhaler Compliance Assessment device was employed to record inhaler audio signals from 62 respiratory patients as they used a pMDI with an In-Check Flo-Tone device attached to the inhaler mouthpiece. Using a quadratic discriminant analysis approach, the audio-based method generated a total frame-by-frame accuracy of 88.2% in classifying sound events (actuation, inhalation and exhalation). The audio-based method estimated the peak inspiratory flow rate and volume of inhalations with an accuracy of 88.2% and 83.94% respectively. It was detected that 89% of patients made at least one critical user technique error even after tuition from an expert clinical reviewer. This method provides a more clinically accurate assessment of patient inhaler user technique than standard checklist methods.
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spelling pubmed-57947892018-02-12 Objective Assessment of Patient Inhaler User Technique Using an Audio-Based Classification Approach Taylor, Terence E. Zigel, Yaniv Egan, Clarice Hughes, Fintan Costello, Richard W. Reilly, Richard B. Sci Rep Article Many patients make critical user technique errors when using pressurised metered dose inhalers (pMDIs) which reduce the clinical efficacy of respiratory medication. Such critical errors include poor actuation coordination (poor timing of medication release during inhalation) and inhaling too fast (peak inspiratory flow rate over 90 L/min). Here, we present a novel audio-based method that objectively assesses patient pMDI user technique. The Inhaler Compliance Assessment device was employed to record inhaler audio signals from 62 respiratory patients as they used a pMDI with an In-Check Flo-Tone device attached to the inhaler mouthpiece. Using a quadratic discriminant analysis approach, the audio-based method generated a total frame-by-frame accuracy of 88.2% in classifying sound events (actuation, inhalation and exhalation). The audio-based method estimated the peak inspiratory flow rate and volume of inhalations with an accuracy of 88.2% and 83.94% respectively. It was detected that 89% of patients made at least one critical user technique error even after tuition from an expert clinical reviewer. This method provides a more clinically accurate assessment of patient inhaler user technique than standard checklist methods. Nature Publishing Group UK 2018-02-01 /pmc/articles/PMC5794789/ /pubmed/29391489 http://dx.doi.org/10.1038/s41598-018-20523-w Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Taylor, Terence E.
Zigel, Yaniv
Egan, Clarice
Hughes, Fintan
Costello, Richard W.
Reilly, Richard B.
Objective Assessment of Patient Inhaler User Technique Using an Audio-Based Classification Approach
title Objective Assessment of Patient Inhaler User Technique Using an Audio-Based Classification Approach
title_full Objective Assessment of Patient Inhaler User Technique Using an Audio-Based Classification Approach
title_fullStr Objective Assessment of Patient Inhaler User Technique Using an Audio-Based Classification Approach
title_full_unstemmed Objective Assessment of Patient Inhaler User Technique Using an Audio-Based Classification Approach
title_short Objective Assessment of Patient Inhaler User Technique Using an Audio-Based Classification Approach
title_sort objective assessment of patient inhaler user technique using an audio-based classification approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5794789/
https://www.ncbi.nlm.nih.gov/pubmed/29391489
http://dx.doi.org/10.1038/s41598-018-20523-w
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