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Fisioterapia respiratoria post-COVID-19: algoritmo de decisión terapéutica

The outbreak of COVID-19 has posed a great challenge for the healthcare system which has been later aggravated by the need of managing clinical manifestations and potential sequelae in COVID-19 survivors. In this context, respiratory Physiotherapy emerges as a cornerstone in the interdisciplinary ma...

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Autores principales: Arbillaga-Etxarri, Ane, Lista-Paz, Ana, Alcaraz-Serrano, Victoria, Escudero-Romero, Raúl, Herrero-Cortina, Beatriz, Balañá Corberó, Ana, Sebio-García, Raquel, Vilaró, Jordi, Gimeno-Santos, Elena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507569/
http://dx.doi.org/10.1016/j.opresp.2021.100139
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author Arbillaga-Etxarri, Ane
Lista-Paz, Ana
Alcaraz-Serrano, Victoria
Escudero-Romero, Raúl
Herrero-Cortina, Beatriz
Balañá Corberó, Ana
Sebio-García, Raquel
Vilaró, Jordi
Gimeno-Santos, Elena
author_facet Arbillaga-Etxarri, Ane
Lista-Paz, Ana
Alcaraz-Serrano, Victoria
Escudero-Romero, Raúl
Herrero-Cortina, Beatriz
Balañá Corberó, Ana
Sebio-García, Raquel
Vilaró, Jordi
Gimeno-Santos, Elena
author_sort Arbillaga-Etxarri, Ane
collection PubMed
description The outbreak of COVID-19 has posed a great challenge for the healthcare system which has been later aggravated by the need of managing clinical manifestations and potential sequelae in COVID-19 survivors. In this context, respiratory Physiotherapy emerges as a cornerstone in the interdisciplinary management warranted in this population. Given that the implementation and resources available for the interdisciplinary therapeutic interventions in Spain is scarce, it is essential to perform a comprehensive, exhaustive and personalised assessment. This will allow us to establish more accurate selection criteria in order to optimise the use of existing human and material resources. To this end, we propose here a decision-making algorithm for clinical practice to assess the clinical manifestations in people recovered from COVID-19 based on well-established, validated tests and assessment tools. This algorithm can be used at any clinical practice environment (primary care/community or hospital-based), combined with a patient-centered model and the use of community and e-Health resources and its application to improve the Physiotherapy care of these patients in the COVID-19 era.
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spelling pubmed-85075692021-10-13 Fisioterapia respiratoria post-COVID-19: algoritmo de decisión terapéutica Arbillaga-Etxarri, Ane Lista-Paz, Ana Alcaraz-Serrano, Victoria Escudero-Romero, Raúl Herrero-Cortina, Beatriz Balañá Corberó, Ana Sebio-García, Raquel Vilaró, Jordi Gimeno-Santos, Elena Open Respir Arch Revisión The outbreak of COVID-19 has posed a great challenge for the healthcare system which has been later aggravated by the need of managing clinical manifestations and potential sequelae in COVID-19 survivors. In this context, respiratory Physiotherapy emerges as a cornerstone in the interdisciplinary management warranted in this population. Given that the implementation and resources available for the interdisciplinary therapeutic interventions in Spain is scarce, it is essential to perform a comprehensive, exhaustive and personalised assessment. This will allow us to establish more accurate selection criteria in order to optimise the use of existing human and material resources. To this end, we propose here a decision-making algorithm for clinical practice to assess the clinical manifestations in people recovered from COVID-19 based on well-established, validated tests and assessment tools. This algorithm can be used at any clinical practice environment (primary care/community or hospital-based), combined with a patient-centered model and the use of community and e-Health resources and its application to improve the Physiotherapy care of these patients in the COVID-19 era. Elsevier 2021-10-12 /pmc/articles/PMC8507569/ http://dx.doi.org/10.1016/j.opresp.2021.100139 Text en © 2021 Sociedad Española de Neumología y Cirugía Torácica (SEPAR). Published by Elsevier España, S.L.U. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Revisión
Arbillaga-Etxarri, Ane
Lista-Paz, Ana
Alcaraz-Serrano, Victoria
Escudero-Romero, Raúl
Herrero-Cortina, Beatriz
Balañá Corberó, Ana
Sebio-García, Raquel
Vilaró, Jordi
Gimeno-Santos, Elena
Fisioterapia respiratoria post-COVID-19: algoritmo de decisión terapéutica
title Fisioterapia respiratoria post-COVID-19: algoritmo de decisión terapéutica
title_full Fisioterapia respiratoria post-COVID-19: algoritmo de decisión terapéutica
title_fullStr Fisioterapia respiratoria post-COVID-19: algoritmo de decisión terapéutica
title_full_unstemmed Fisioterapia respiratoria post-COVID-19: algoritmo de decisión terapéutica
title_short Fisioterapia respiratoria post-COVID-19: algoritmo de decisión terapéutica
title_sort fisioterapia respiratoria post-covid-19: algoritmo de decisión terapéutica
topic Revisión
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507569/
http://dx.doi.org/10.1016/j.opresp.2021.100139
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