Results 61 to 70 of about 311,730 (201)

Early warning scores: unravelling detection and escalation

open access: yesInternational Journal of Health Care Quality Assurance, 2015
Purpose – The purpose of this paper is to increase understanding of how patient deterioration is detected and how clinical care escalates when early warning score (EWS) systems are used. Design/methodology/approach – The authors critically review a recent National
Smith, Gary B.   +3 more
openaire   +3 more sources

Laboratory early warning score versus clinical early warning score as a predictor of imminent cardiac arrest [PDF]

open access: yesCritical Care, 2014
NCEPOD reported in 2012 that 75% of patients had warning signs for cardiac arrest present prior to their arrest [1]. NICE recommends a vital sign-based early warning score (EWS) to identify patients at risk of deterioration or death [2]. In our trust, audit has shown that only 20 to 35% of patients trigger the clinical EWS prior to cardiac arrest ...
Keil, M, Hutchinson, S, Leary, T
openaire   +1 more source

A snapshot of compliance with the sepsis six care bundle in two acute hospitals in the West Midlands, UK [PDF]

open access: yes, 2019
The sepsis six care bundle has been adopted by hospitals in England and Wales for the management of patients with sepsis, with the aim of increasing survival when all elements of the bundle are achieved.
Frankling, Catriona   +6 more
core   +1 more source

Accuracy of a pediatric early warning score in the recognition of clinical deterioration

open access: yesRevista Latino-Americana de Enfermagem
Objective: to evaluate the accuracy of the version of the Brighton Pediatric Early Warning Score translated and adapted for the Brazilian context, in the recognition of clinical deterioration.
Juliana de Oliveira Freitas Miranda   +4 more
doaj   +1 more source

Randomized double-blind placebo-controlled trial of 40 mg/day of atorvastatin in reducing the severity of sepsis in ward patients (ASEPSIS Trial) [PDF]

open access: yes, 2012
Introduction: Several observational studies suggest that statins modulate the pathophysiology of sepsis and may prevent its progression. The aim of this study was to determine if the acute administration of atorvastatin reduces sepsis progression in ...
Barnett, A. H.   +11 more
core   +3 more sources

Statistical Validation and Skill Assessment of Hyflux2 Model [PDF]

open access: yes, 2016
The Joint Research Center (JRC) has developed extensive experience in tsunami early warning systems, using the JRC-SWAN finite difference code for wave propagation simulation and the JRC finite-volume HyFlux2 code for wave propagation and inundation ...
ANNUNZIATO Alessandro   +3 more
core   +1 more source

Gambaran Skor Pediatric Early Warning Score (Pews) pada Pola Rujukan Pasien Anak di Instalasi Gawat Darurat [PDF]

open access: yes, 2014
An early warning score for children like PEWS (pediatric early warning score) has an ability to identify clinical deterioration of children and intervension can be taken before children condition become worst.
-, B. (Bayhakky)   +2 more
core  

A comparison of the ability of the National Early Warning Score and the National Early Warning Score 2 to identify patients at risk of in-hospital mortality: a multi-centre database study [PDF]

open access: yes, 2018
AIMS:To compare the ability of the National Early Warning Score (NEWS) and the National Early Warning Score 2 (NEWS2) to identify patients at risk of in-hospital mortality and other adverse outcomes.
Collins, Gary S.   +8 more
core   +3 more sources

Why do nurses not escalate patient care when EWS indicates to do so? [PDF]

open access: yes, 2014
Introduction Early warning scores are used worldwide as a tool to aid identification of acutely unwell patients by nursing staff. They do this by giving a patient a numerical score based upon physiological parameters.
Burns, Katie
core  

Performance of patient acuity rating by rapid response team nurses for predicting short-term prognosis.

open access: yesPLoS ONE, 2019
BACKGROUND:Although scoring and machine learning methods have been developed to predict patient deterioration, bedside assessment by nurses should not be overlooked.
Hyung-Jun Kim   +14 more
doaj   +1 more source

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