2017
DOI: 10.1093/intqhc/mzx032
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Development and implementation of a risk identification tool to facilitate critical care transitions for high-risk surgical patients

Abstract: The implementation of this ICU transition protocol is feasible and internationally applicable, and results in improved care coordination and communication for a high-risk group of patients.

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Cited by 19 publications
(36 citation statements)
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“…Readmission affects 4.1% ( 51 ) to 9.2% ( 46 ) of the patients in any period of hospitalization, 2.9% ( 14 ) in 48 hours after the transfer and 2.7% ( 32 ) to 4.2% ( 13 ) within 72 hours. Other clinical outcomes analyzed are length of hospital stay ( 31 - 32 , 35 , 39 - 40 , 49 ) , care provided by a Rapid Response Team (RRT) ( 26 , 43 ) , cardiac arrest ( 47 ) , and medications-related problems ( 49 ) . Outcomes such as anxiety, stress, and satisfaction of patients and families also appear in the studies ( 24 , 28 , 30 , 44 , 48 ) .…”
Section: Resultsmentioning
confidence: 99%
“…Readmission affects 4.1% ( 51 ) to 9.2% ( 46 ) of the patients in any period of hospitalization, 2.9% ( 14 ) in 48 hours after the transfer and 2.7% ( 32 ) to 4.2% ( 13 ) within 72 hours. Other clinical outcomes analyzed are length of hospital stay ( 31 - 32 , 35 , 39 - 40 , 49 ) , care provided by a Rapid Response Team (RRT) ( 26 , 43 ) , cardiac arrest ( 47 ) , and medications-related problems ( 49 ) . Outcomes such as anxiety, stress, and satisfaction of patients and families also appear in the studies ( 24 , 28 , 30 , 44 , 48 ) .…”
Section: Resultsmentioning
confidence: 99%
“…Before the beginning of the QI intervention, significant focus on the education of ward staff about acutely deteriorating patients took place. Standardized communications tools, such as the Situation Background Assessment Recommendation (SBAR); reporting; and defined risk stratification tools based on the NEWS were deployed, as recommended previously (Hoffman et al, ).…”
Section: Methodsmentioning
confidence: 99%
“…There is increasing recognition of the need to quantify longer term outcomes for patients after critical care admission. Critical care survivors suffer continued and significant healthcare burden, (1-3) and decreased longer-term survival compared to the general population (4,5). Such tools could be used to guide interventions to improve outcomes for at-risk patients (6).…”
Section: Introductionmentioning
confidence: 99%
“…Critical care scoring systems frequently focus on outcome prediction for the hospital admission episode rather than long-term survival (2,(8)(9)(10). Further, these tools can be complex and labour intensive (5,11), with variable discriminative ability (12). The Sabadell Score was developed and validated as a simplified tool based on the judgement of the attending critical care physician to predict the likelihood of in-hospital mortality after critical care discharge (13,14).…”
Section: Introductionmentioning
confidence: 99%