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Predicting Health Care Workers' Tolerance of Personal Protective Equipment: An Observational Simulation Study
BACKGROUND: More recently, due to the coronavirus disease 2019 pandemic, health care workers have to deal with clinical situations wearing personal protective equipment (PPE); however, there is a question of whether everybody will tolerate PPE equally. The main objective of this study was to develop...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Nursing Association for Clinical Simulation and Learning. Published by Elsevier Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7467653/ https://www.ncbi.nlm.nih.gov/pubmed/32895609 http://dx.doi.org/10.1016/j.ecns.2020.07.005 |
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author | Martín-Rodríguez, Francisco Sanz-García, Ancor López-Izquierdo, Raúl Delgado Benito, Juan F. Martín-Conty, José L. Castro Villamor, Miguel A. Ortega, Guillermo J. |
author_facet | Martín-Rodríguez, Francisco Sanz-García, Ancor López-Izquierdo, Raúl Delgado Benito, Juan F. Martín-Conty, José L. Castro Villamor, Miguel A. Ortega, Guillermo J. |
author_sort | Martín-Rodríguez, Francisco |
collection | PubMed |
description | BACKGROUND: More recently, due to the coronavirus disease 2019 pandemic, health care workers have to deal with clinical situations wearing personal protective equipment (PPE); however, there is a question of whether everybody will tolerate PPE equally. The main objective of this study was to develop a risk model to predict whether health care workers will tolerate wearing PPE, C category, 4B/5B/6B type, during a 30-minute simulation. METHODS: A nonexperimental simulation study was conducted at the Advanced Simulation Center, Faculty of Medicine, Valladolid University (Spain) from April 3rd to 28th, 2017. Health care students and professionals were equipped with PPE and performed a 30-minute simulation. Anthropometric, physiological, and analytical variables and anxiety levels were measured before and after simulation. A scoring model was constructed. RESULTS: Ninety-six volunteers participated in the study. Half the sample presented metabolic fatigue in the 20 minutes after finishing the simulation. The predictive model included female sex, height, muscle and bone mass, and moderate level of physical activity. The validity of the main model using all the variables presented an area under the curve of 0.86 (95% confidence interval: 0.786–0.935), and the validity of the model had an area under the curve of 0.725 (95% confidence interval: 0.559–0.89). CONCLUSIONS: Decision-making in biohazard incidents is a challenge for emergency team leaders. Knowledge of health care workers' physiological tolerance of PPE could improve their performance. |
format | Online Article Text |
id | pubmed-7467653 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | International Nursing Association for Clinical Simulation and Learning. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74676532020-09-03 Predicting Health Care Workers' Tolerance of Personal Protective Equipment: An Observational Simulation Study Martín-Rodríguez, Francisco Sanz-García, Ancor López-Izquierdo, Raúl Delgado Benito, Juan F. Martín-Conty, José L. Castro Villamor, Miguel A. Ortega, Guillermo J. Clin Simul Nurs Featured Article BACKGROUND: More recently, due to the coronavirus disease 2019 pandemic, health care workers have to deal with clinical situations wearing personal protective equipment (PPE); however, there is a question of whether everybody will tolerate PPE equally. The main objective of this study was to develop a risk model to predict whether health care workers will tolerate wearing PPE, C category, 4B/5B/6B type, during a 30-minute simulation. METHODS: A nonexperimental simulation study was conducted at the Advanced Simulation Center, Faculty of Medicine, Valladolid University (Spain) from April 3rd to 28th, 2017. Health care students and professionals were equipped with PPE and performed a 30-minute simulation. Anthropometric, physiological, and analytical variables and anxiety levels were measured before and after simulation. A scoring model was constructed. RESULTS: Ninety-six volunteers participated in the study. Half the sample presented metabolic fatigue in the 20 minutes after finishing the simulation. The predictive model included female sex, height, muscle and bone mass, and moderate level of physical activity. The validity of the main model using all the variables presented an area under the curve of 0.86 (95% confidence interval: 0.786–0.935), and the validity of the model had an area under the curve of 0.725 (95% confidence interval: 0.559–0.89). CONCLUSIONS: Decision-making in biohazard incidents is a challenge for emergency team leaders. Knowledge of health care workers' physiological tolerance of PPE could improve their performance. International Nursing Association for Clinical Simulation and Learning. Published by Elsevier Inc. 2020-10 2020-09-02 /pmc/articles/PMC7467653/ /pubmed/32895609 http://dx.doi.org/10.1016/j.ecns.2020.07.005 Text en © 2020 International Nursing Association for Clinical Simulation and Learning. Published by Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Featured Article Martín-Rodríguez, Francisco Sanz-García, Ancor López-Izquierdo, Raúl Delgado Benito, Juan F. Martín-Conty, José L. Castro Villamor, Miguel A. Ortega, Guillermo J. Predicting Health Care Workers' Tolerance of Personal Protective Equipment: An Observational Simulation Study |
title | Predicting Health Care Workers' Tolerance of Personal Protective Equipment: An Observational Simulation Study |
title_full | Predicting Health Care Workers' Tolerance of Personal Protective Equipment: An Observational Simulation Study |
title_fullStr | Predicting Health Care Workers' Tolerance of Personal Protective Equipment: An Observational Simulation Study |
title_full_unstemmed | Predicting Health Care Workers' Tolerance of Personal Protective Equipment: An Observational Simulation Study |
title_short | Predicting Health Care Workers' Tolerance of Personal Protective Equipment: An Observational Simulation Study |
title_sort | predicting health care workers' tolerance of personal protective equipment: an observational simulation study |
topic | Featured Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7467653/ https://www.ncbi.nlm.nih.gov/pubmed/32895609 http://dx.doi.org/10.1016/j.ecns.2020.07.005 |
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