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Acute Respiratory Infection Hubs: A Service Model with Potential to Optimise Infection Management

Patients with acute respiratory infections (ARI)—including those with upper and lower respiratory infections from both bacterial and viral pathogens—are one of the most common reasons for acute deterioration, with large numbers of potentially avoidable hospital admissions. The acute respiratory infe...

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Autores principales: Jawad, Sarah, Buckingham, Anna, Richardson, Charlotte, Molloy, Aoife, Owolabi, Bola, Inada-Kim, Matt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10215707/
https://www.ncbi.nlm.nih.gov/pubmed/37237721
http://dx.doi.org/10.3390/antibiotics12050819
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author Jawad, Sarah
Buckingham, Anna
Richardson, Charlotte
Molloy, Aoife
Owolabi, Bola
Inada-Kim, Matt
author_facet Jawad, Sarah
Buckingham, Anna
Richardson, Charlotte
Molloy, Aoife
Owolabi, Bola
Inada-Kim, Matt
author_sort Jawad, Sarah
collection PubMed
description Patients with acute respiratory infections (ARI)—including those with upper and lower respiratory infections from both bacterial and viral pathogens—are one of the most common reasons for acute deterioration, with large numbers of potentially avoidable hospital admissions. The acute respiratory infection hubs model was developed to improve healthcare access and quality of care for these patients. This article outlines the implementation of this model and its potential impacts in a number of areas. Firstly, by improving healthcare access for patients with respiratory infections by increasing the capacity for assessment in community and non-emergency department settings and also by providing flexible response to surges in demand and reducing primary and secondary care demand. Secondly, by optimising infection management (including the use of point-of-care diagnostics and standardised best practise guidance to improve appropriate antimicrobial usage) and reducing nosocomial transmission by cohorting those with suspected ARI away from those with non-infective presentations. Thirdly, by addressing healthcare inequalities; in areas of greatest deprivation, acute respiratory infection is strongly linked with increased emergency department attendance. Fourthly, by reducing the National Health Service’s (NHS) carbon footprint. Finally, by providing a wonderful opportunity to gather community infection management data to enable large-scale evaluation and research.
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spelling pubmed-102157072023-05-27 Acute Respiratory Infection Hubs: A Service Model with Potential to Optimise Infection Management Jawad, Sarah Buckingham, Anna Richardson, Charlotte Molloy, Aoife Owolabi, Bola Inada-Kim, Matt Antibiotics (Basel) Article Patients with acute respiratory infections (ARI)—including those with upper and lower respiratory infections from both bacterial and viral pathogens—are one of the most common reasons for acute deterioration, with large numbers of potentially avoidable hospital admissions. The acute respiratory infection hubs model was developed to improve healthcare access and quality of care for these patients. This article outlines the implementation of this model and its potential impacts in a number of areas. Firstly, by improving healthcare access for patients with respiratory infections by increasing the capacity for assessment in community and non-emergency department settings and also by providing flexible response to surges in demand and reducing primary and secondary care demand. Secondly, by optimising infection management (including the use of point-of-care diagnostics and standardised best practise guidance to improve appropriate antimicrobial usage) and reducing nosocomial transmission by cohorting those with suspected ARI away from those with non-infective presentations. Thirdly, by addressing healthcare inequalities; in areas of greatest deprivation, acute respiratory infection is strongly linked with increased emergency department attendance. Fourthly, by reducing the National Health Service’s (NHS) carbon footprint. Finally, by providing a wonderful opportunity to gather community infection management data to enable large-scale evaluation and research. MDPI 2023-04-27 /pmc/articles/PMC10215707/ /pubmed/37237721 http://dx.doi.org/10.3390/antibiotics12050819 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jawad, Sarah
Buckingham, Anna
Richardson, Charlotte
Molloy, Aoife
Owolabi, Bola
Inada-Kim, Matt
Acute Respiratory Infection Hubs: A Service Model with Potential to Optimise Infection Management
title Acute Respiratory Infection Hubs: A Service Model with Potential to Optimise Infection Management
title_full Acute Respiratory Infection Hubs: A Service Model with Potential to Optimise Infection Management
title_fullStr Acute Respiratory Infection Hubs: A Service Model with Potential to Optimise Infection Management
title_full_unstemmed Acute Respiratory Infection Hubs: A Service Model with Potential to Optimise Infection Management
title_short Acute Respiratory Infection Hubs: A Service Model with Potential to Optimise Infection Management
title_sort acute respiratory infection hubs: a service model with potential to optimise infection management
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10215707/
https://www.ncbi.nlm.nih.gov/pubmed/37237721
http://dx.doi.org/10.3390/antibiotics12050819
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