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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10215707 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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