Prevalence of electronic screening for sepsis in National Health Service acute hospitals in England

Article


Honeyford, K., Nwosu, A., Lazzarino, R., Kinderlerer, A., Welch, J., Brent, A., Cooke, G., Ghazal, P., Patil, S., DiAlS Co-investigators and Costelloe, C. 2023. Prevalence of electronic screening for sepsis in National Health Service acute hospitals in England. BMJ Health & Care Informatics. 30 (1). https://doi.org/10.1136/bmjhci-2023-100743
TypeArticle
TitlePrevalence of electronic screening for sepsis in National Health Service acute hospitals in England
AuthorsHoneyford, K., Nwosu, A., Lazzarino, R., Kinderlerer, A., Welch, J., Brent, A., Cooke, G., Ghazal, P., Patil, S., DiAlS Co-investigators and Costelloe, C.
Abstract

Sepsis is a worldwide public health problem. Rapid identification is associated with improved patient outcomes—if followed by timely appropriate treatment.

Objectives
Describe digital sepsis alerts (DSAs) in use in English National Health Service (NHS) acute hospitals.

Methods
A Freedom of Information request surveyed acute NHS Trusts on their adoption of electronic patient records (EPRs) and DSAs.

Results
Of the 99 Trusts that responded, 84 had an EPR. Over 20 different EPR system providers were identified as operational in England. The most common providers were Cerner (21%). System C, Dedalus and Allscripts Sunrise were also relatively common (13%, 10% and 7%, respectively). 70% of NHS Trusts with an EPR responded that they had a DSA; most of these use the National Early Warning Score (NEWS2). There was evidence that the EPR provider was related to the DSA algorithm. We found no evidence that Trusts were using EPRs to introduce data driven algorithms or DSAs able to include, for example, pre-existing conditions that may be known to increase risk.

Not all Trusts were willing or able to provide details of their EPR or the underlying algorithm.

Discussion
The majority of NHS Trusts use an EPR of some kind; many use a NEWS2-based DSA in keeping with national guidelines.

Conclusion
Many English NHS Trusts use DSAs; even those using similar triggers vary and many recreate paper systems. Despite the proliferation of machine learning algorithms being developed to support early detection of sepsis, there is little evidence that these are being used to improve personalised sepsis detection.

Keywordselectronic health records; decision support systems; clinical; medical records systems; computerized; delivery of health care
Sustainable Development Goals3 Good health and well-being
Middlesex University ThemeHealth & Wellbeing
PublisherBMJ Publishing Group Ltd
JournalBMJ Health & Care Informatics
ISSN
Electronic2632-1009
Publication dates
Print11 May 2023
Online11 May 2023
Publication process dates
Submitted30 Jan 2023
Accepted12 Apr 2023
Deposited06 Aug 2024
Output statusPublished
Publisher's version
License
File Access Level
Open
Copyright Statement

This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See:Â https://creativecommons.org/licenses/by/4.0/.

Digital Object Identifier (DOI)https://doi.org/10.1136/bmjhci-2023-100743
Web of Science identifierWOS:000990126000001
Related Output
Is supplemented byhttps://informatics.bmj.com/content/30/1/e100743#supplementary-materials
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