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

Author:

Jawad Sarah1ORCID,Buckingham Anna2,Richardson Charlotte12,Molloy Aoife23,Owolabi Bola24,Inada-Kim Matt2567

Affiliation:

1. Department of Infection Sciences, King’s College Hospital, Denmark Hill, London SE5 9RS, UK

2. NHS England, Wellington House, London SE1 8UG, UK

3. Infectious Diseases Department, Royal Free Hospital NHS Trust, London NW3 2QG, UK

4. Institute of Applied Health Research, College of Medicine and Dentistry, University of Birmingham, Birmingham B15 2SQ, UK

5. Clinical & Experimental Sciences, University of Southampton, Southampton SO17 1BJ, UK

6. Wessex Academic Health Science Network, Chilworth, Southampton SO16 7NP, UK

7. Hampshire Hospitals NHS Foundation Trust, Hampshire, UK

Abstract

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.

Publisher

MDPI AG

Subject

Pharmacology (medical),Infectious Diseases,Microbiology (medical),General Pharmacology, Toxicology and Pharmaceutics,Biochemistry,Microbiology

Reference47 articles.

1. UKHSA (2023, January 20). Weekly Flu and COVID-19 Report_w2, Available online: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1046284/weekly-flu-and-covid-19-report-week-2-2022.pdf.

2. Unpublished NHS England data, Available on request from corresponding author.

3. Integrating care for high-risk patients in England using the virtual ward model: Lessons in the process of care integration from three case sites;Lewis;Int. J. Integr. Care,2013

4. Remote home monitoring (virtual wards) for confirmed or suspected COVID-19 patients: A rapid systematic review;Singh;EClinicalMedicine,2021

5. COVID-19 Oximetry@ home: Evaluation of patient outcomes;Boniface;BMJ Open Qual.,2022

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