Evidence map›Paper›PMID 30842204›Full record

ArticleEmergency medicine journal : EMJ2019

Distributions of the National Early Warning Score (NEWS) across a healthcare system following a large-scale roll-out.

Lauren J Scott, Niamh M Redmond, Joanna Garrett, Penny Whiting, Kate Northstone, Anne Pullyblank

Abstract read
In one paragraph

Article in Emergency medicine journal : EMJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Lauren J ScottNIHR CLAHRC West, University Hospitals Bristol NHS Foundation Trust, Bristol, UK.ORCID http://orcid.org/0000-0003-3129-5123
Niamh M RedmondNIHR CLAHRC West, University Hospitals Bristol NHS Foundation Trust, Bristol, UK.
Joanna GarrettWest of England Academic Health Science Network, Bristol, UK.
Penny WhitingNIHR CLAHRC West, University Hospitals Bristol NHS Foundation Trust, Bristol, UK.
Kate NorthstoneNIHR CLAHRC West, University Hospitals Bristol NHS Foundation Trust, Bristol, UK.
Anne PullyblankWest of England Academic Health Science Network, Bristol, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly warning scores (EWS) were developed in acute hospital settings to improve recognition and response to patient deterioration. In 2012, the UK Royal College of Physicians developed the National Early Warning Score (NEWS) to standardise EWS across the NHS. Its use was also recommended outside acute hospital settings; however, there is limited information about NEWS in these settings. From March 2015, NEWS was implemented across the healthcare system in the West of England, with the aim that NEWS would be calculated for all patients prior to referral into acute care.

aimTo describe the distribution and use of NEWS in out-of-hospital settings for patients with acute illness or long-term conditions, following system wide implementation.

methodAnonymised data were obtained from 115 030 emergency department (ED) attendances, 1 137 734 ambulance electronic records, 31 063 community attendances and 15 160 general practitioner (GP) referrals into secondary care, in the West of England. Descriptive statistics are presented.

resultsMost attendance records had NEWS=0-2: 80% in ED, 67% of ambulance attendances and 72% in the community. In contrast, only 8%, 18% and 11% of attendances had NEWS ≥5 (the trigger for escalation of care in-hospital), respectively. Referrals by a GP had higher NEWS on average (46% NEWS=0-2 and 30% NEWS ≥5). By April 2016, the use of NEWS was reasonably stable in ED, ambulance and community populations, and still increasing for GP referrals.

conclusionsNEWS ≥5 occurred in less than 20% of ED, ambulance and community populations studied and 30% of GP referrals. This suggests that in most out-of-hospital settings studied, high scores are reasonably uncommon.

Indexed as

Clinical DeteriorationGeographic MappingAdultAgedAged, 80 and overDelivery of Health CareEmergency Medical ServicesEmergency Service, HospitalEnglandFemaleHospital MortalityHumansLength of StayMaleMiddle AgedResearch Designclinical assessmentemergency ambulance systems emergency departmentemergency care systemsprehospital care, communications

Identifiers

PMID30842204
PMCPMC6580766

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.