Predictors for Admission to Emergency Department More Than 48 Hours
NCT ID: NCT01723449
Last Updated: 2016-02-17
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
730 participants
OBSERVATIONAL
2012-11-30
2013-10-31
Brief Summary
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However, it is not a trivial matter to estimate duration of stay for emergency patients. a number of factors affect this, eg. social background, disease, hospital organisation.
The aim of this study is to analyse whom are the best among the health staff to predict the length of stay: ED nurses, admitting doctors og the specialist, and to analyse if a number of variables can be used to improve the prediction.
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
\-
15 Years
ALL
No
Sponsors
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University of Southern Denmark
OTHER
Responsible Party
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Christian Backer Mogensen
assistant professor
Locations
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Aabenraa Sygehus Emergency Department
Aabenraa, , Denmark
Countries
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Other Identifiers
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SHS-ED-01-2012
Identifier Type: -
Identifier Source: org_study_id
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