Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/19064
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dc.contributor.authorSubbe, Christian P-
dc.contributor.authorDuller, Bernd-
dc.contributor.authorBellomo, Rinaldo-
dc.date2017-03-14-
dc.date.accessioned2018-09-13T00:14:46Z-
dc.date.available2018-09-13T00:14:46Z-
dc.date.issued2017-03-14-
dc.identifier.citationCritical Care 2017; 21(1): 52-
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/19064-
dc.description.abstractDelayed response to clinical deterioration of ward patients is common. We performed a prospective before-and-after study in all patients admitted to two clinical ward areas in a district general hospital in the UK. We examined the effect on clinical outcomes of deploying an electronic automated advisory vital signs monitoring and notification system, which relayed abnormal vital signs to a rapid response team (RRT). We studied 2139 patients before (control) and 2263 after the intervention. During the intervention the number of RRT notifications increased from 405 to 524 (p = 0.001) with more notifications triggering fluid therapy, bronchodilators and antibiotics. Moreover, despite an increase in the number of patients with "do not attempt resuscitation" orders (from 99 to 135; p = 0.047), mortality decreased from 173 to 147 (p = 0.042) patients and cardiac arrests decreased from 14 to 2 events (p = 0.002). Finally, the severity of illness in patients admitted to the ICU was reduced (mean Acute Physiology and Chronic Health Evaluation II score: 26 (SD 9) vs. 18 (SD 8)), as was their mortality (from 45% to 24%; p = 0.04). Deployment of an electronic automated advisory vital signs monitoring and notification system to signal clinical deterioration in ward patients was associated with significant improvements in key patient-centered clinical outcomes. ClinicalTrials.gov, NCT01692847 . Registered on 21 September 2012.-
dc.language.isoeng-
dc.titleEffect of an automated notification system for deteriorating ward patients on clinical outcomes.-
dc.typeJournal Article-
dc.identifier.journaltitleCritical Care-
dc.identifier.affiliationRespiratory & Critical Care Medicine, Bangor University & Ysbyty Gwynedd, Bangor, LL57 2PW, Wales, UK-
dc.identifier.affiliationClinical Studies & Research Consultant, Perpet Production, Kolumbusstr. 29, 70439, Stuttgart, Germany-
dc.identifier.affiliationDepartment of Intensive Care, Austin Health, Heidelberg, Victoria, Australia-
dc.identifier.doi10.1186/s13054-017-1635-z-
dc.identifier.orcid0000-0002-1650-8939-
dc.identifier.pubmedid28288655-
dc.type.austinClinical Trial-
dc.type.austinJournal Article-
local.name.researcherBellomo, Rinaldo
item.grantfulltextnone-
item.openairetypeJournal Article-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.deptIntensive Care-
crisitem.author.deptData Analytics Research and Evaluation (DARE) Centre-
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