Outreach and Early Warning Systems (EWS) for the prevention of Intensive Care admission and death of critically ill adult patients on general hospital wards

McGaughey, Jennifer; Alderdice, Fiona; Fowler, Robert; Kapila, Atul; Mayhew, Alain; Moutray, Marianne

doi:10.1002/14651858.cd005529.pub2

Cited by 184 publications

(95 citation statements)

References 34 publications

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“…We suggest that the recent National Institute of Clinical Excellence (NICE, UK) guidelines advocating the use of EWS or a similar trigger system for all adult hospital patients at risk of deterioration are likely to benefit hospitals involved in intensive treatments such as those required for haematology patients [20,21].…”

Section: Discussionmentioning

confidence: 99%

Impact of critical care reconfiguration and track-and-trigger outreach team intervention on outcomes of haematology patients requiring intensive care admission

et al. 2009

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Section: Discussionmentioning

confidence: 99%

Impact of critical care reconfiguration and track-and-trigger outreach team intervention on outcomes of haematology patients requiring intensive care admission

et al. 2009

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“…28,29 Multiple studies have demonstrated that medical-surgical nurses and critical care nurses collectively aim for this process to remain patient centered [28][29][30][31] ; however, both practice groups individually prioritize and emphasize different components and timing priorities of these transfers. Interestingly, most evidence surrounding the communication between critical care nurses and medical-surgical nurses is focused on the critical care nurses' observations, prioritization, and practice throughout the handoff process.…”

Section: Nurse Handoff/transfer Reportmentioning

confidence: 99%

Role of Transitional Care Measures in the Prevention of Readmission After Critical Illness

Peters

2017

Critical Care Nurse

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Transitioning from the critical care unit to the medical-surgical care area is vital to patients’ recovery and resolution of critical illness. Such transitions are necessary to optimize use of available hospital resources to meet patient care needs. One in 10 patients discharged from the intensive care unit are readmitted to the unit during their hospitalization. Critical care readmission is associated with significant increases in illness acuity, overall length of stay, and health care costs as well as a potential 4-fold increased risk of mortality. Patients with complex illness, multiple comorbid conditions, and a prolonged initial stay in the critical care unit are at an increased risk of being readmitted to the critical care unit and experiencing poor outcomes. Implementing nurse-driven measures that support continuity of care and consistent communication practices such as critical care outreach services, transitional communication tools, discharge planning, and transitional care units improves transitions of patients from the critical care environment and reduces readmission rates.

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“…Such a system uses a process called Early Warning Score (EWS) to calculate different scores from patient's observation chart based on repetitive physiological measurement of vital signs to derive a composite score which is used to identify if a patient is at a risk of deterioration. Studies in this field have shown that patients often have signs of clinical deterioration up to 24 hours prior to a serious clinical case requiring a full intervention [9][10] [11]. The simplest type of score can be calculated V,P or U * * A=Alert, V=response to voice, P=response to pain, U=unresponsive using five physiological parameters: level of consciousness, pulse rate, systolic blood pressure, respiration rate, body temperature, and blood oxygen saturation.…”

Section: Early Warning Scorementioning

confidence: 99%

Internet of Things Enabled In-Home Health Monitoring System Using Early Warning Score

Anzanpour¹,

Rahmani²,

Liljeberg³

et al. 2015

EAI Endorsed Trans IoT

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Early warning score (EWS) is an approach to detect the deterioration of a patient. It is based on a fact that there are several changes in the physiological parameters prior a clinical deterioration of a patient. Currently, EWS procedure is mostly used for in-hospital clinical cases and is performed in a manual paper-based fashion. In this paper, we propose an automated EWS health monitoring system to intelligently monitor vital signs and prevent health deterioration for in-home patients using Internet-of-Things (IoT) technologies. IoT enables our solution to provide a real-time 24/7 service for health professionals to remotely monitor inhome patients via Internet and receive notifications in case of emergency. We also demonstrate a proof-of-concept EWS system where continuous reading, transferring, recording, and processing of vital signs have been implemented.

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Outreach and Early Warning Systems (EWS) for the prevention of Intensive Care admission and death of critically ill adult patients on general hospital wards

Cited by 184 publications

References 34 publications

Impact of critical care reconfiguration and track-and-trigger outreach team intervention on outcomes of haematology patients requiring intensive care admission

Impact of critical care reconfiguration and track-and-trigger outreach team intervention on outcomes of haematology patients requiring intensive care admission

Role of Transitional Care Measures in the Prevention of Readmission After Critical Illness

Internet of Things Enabled In-Home Health Monitoring System Using Early Warning Score

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