A comparison of the ability of the physiological components of Medical Emergency Team criteria and the UK National Early Warning Score (NEWS) to discriminate patients at risk of a range of adverse clinical outcomes
- Submitting institution
-
University of Portsmouth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 7110209
- Type
- D - Journal article
- DOI
-
10.1097/CCM.0000000000002000
- Title of journal
- Critical Care Medicine
- Article number
- -
- First page
- 2171
- Volume
- 44
- Issue
- 12
- ISSN
- 0090-3493
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
6
- Research group(s)
-
A - Centre for Healthcare Modelling and Informatics
- Citation count
- 25
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- One of our outputs applying our data science skills to the development of the NHS-mandated National Early Warning Score (NEWS) and its evaluation. Hospitals in the USA (hence why this was published in the leading American journal) generally use individual vital signs to identify the need to trigger escalation of care. This paper compared the many competing systems in use with NEWS and showed NEWS to be superior. Anecdotal evidence suggests that several US hospitals are now switching to use NEWS as a result.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
