2012
DOI: 10.1186/1757-7241-20-29
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The formation and design of the 'Acute Admission Database'- a database including a prospective, observational cohort of 6279 patients triaged in the emergency department in a larger Danish hospital

Abstract: BackgroundManagement and care of the acutely ill patient has improved over the last years due to introduction of systematic assessment and accelerated treatment protocols. We have, however, sparse knowledge of the association between patient status at admission to hospital and patient outcome. A likely explanation is the difficulty in retrieving all relevant information from one database. The objective of this article was 1) to describe the formation and design of the 'Acute Admission Database', and 2) to char… Show more

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Cited by 19 publications
(42 citation statements)
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“…Though, considering 11% red priority patients, a higher level of ICU utilisation would be expected. A paper from Denmark shows an ICU admission rate of 1.6% 21. In a similar study, 4.4% patients were triaged as red and only 10.8% of these patients were admitted to the ICU 22.…”
Section: Discussionmentioning
confidence: 90%
“…Though, considering 11% red priority patients, a higher level of ICU utilisation would be expected. A paper from Denmark shows an ICU admission rate of 1.6% 21. In a similar study, 4.4% patients were triaged as red and only 10.8% of these patients were admitted to the ICU 22.…”
Section: Discussionmentioning
confidence: 90%
“…Data cover the initial assessment upon arrival to the ED as well as blood sample results taken at admission and defined outcome measures. The formation and content of the database is described in more details in Barfod et al . Nordsjælland Hospital is a 24/7 acute care hospital that offers emergency, level 2 trauma center, medical, surgical, and intensive care services for 310,000 citizens in the North Zealand.…”
Section: Methodsmentioning
confidence: 99%
“…We therefore recognized the need for formation of an acute cohort covering all diagnoses and tracking the patient from admission to discharge or death. We have previously described the formation of this acute cohort including patients with all diagnoses and the variables included . Furthermore we have analyzed vital signs as predictor for adverse outcome within this cohort .…”
mentioning
confidence: 99%
“…Although a few clinical databases related to Emergency Medicine were under development in 2013 [11,12] the usual quality measurements of choice have been to monitor different time intervals, e.g. door to treatment, which are easy accessible data for administrative use.…”
Section: Introductionmentioning
confidence: 99%