Model to predict inpatient mortality from information gathered at presentation to an emergency department: The Triage Information Mortality Model (TIMM)

Teubner, David JO, Considine, Julie, Hakendorf, Paul, Kim, Susan and Bersten, Andrew D. 2015, Model to predict inpatient mortality from information gathered at presentation to an emergency department: The Triage Information Mortality Model (TIMM), Emergency medicine Australasia, vol. 27, no. 4, pp. 300-306, doi: 10.1111/1742-6723.12425.

Attached Files
Name Description MIMEType Size Downloads

Title Model to predict inpatient mortality from information gathered at presentation to an emergency department: The Triage Information Mortality Model (TIMM)
Author(s) Teubner, David JO
Considine, JulieORCID iD for Considine, Julie orcid.org/0000-0003-3801-2456
Hakendorf, Paul
Kim, Susan
Bersten, Andrew D.
Journal name Emergency medicine Australasia
Volume number 27
Issue number 4
Start page 300
End page 306
Total pages 7
Publisher Wiley
Place of publication North Melbourne, Vic.
Publication date 2015-08
ISSN 1742-6723
Keyword(s) hospital mortality
mortality prediction
triage
Science & Technology
Life Sciences & Biomedicine
Emergency Medicine
CHRONIC HEALTH EVALUATION
ACUTE MEDICAL UNIT
ACUTE PHYSIOLOGY
CLASSIFICATION-SYSTEM
APACHE-II
SCORE
ADMISSION
RISK
VALIDATION
Summary OBJECTIVES: To derive and validate a mortality prediction model from information available at ED triage. METHODS: Multivariable logistic regression of variables from administrative datasets to predict inpatient mortality of patients admitted through an ED. Accuracy of the model was assessed using the receiver operating characteristic area under the curve (ROC-AUC) and calibration using the Hosmer-Lemeshow goodness of fit test. The model was derived, internally validated and externally validated. Derivation and internal validation were in a tertiary referral hospital and external validation was in an urban community hospital. RESULTS: The ROC-AUC for the derivation set was 0.859 (95% CI 0.856-0.865), for the internal validation set was 0.848 (95% CI 0.840-0.856) and for the external validation set was 0.837 (95% CI 0.823-0.851). Calibration assessed by the Hosmer-Lemeshow goodness of fit test was good. CONCLUSIONS: The model successfully predicts inpatient mortality from information available at the point of triage in the ED.
Language eng
DOI 10.1111/1742-6723.12425
Field of Research 111003 Clinical Nursing: Secondary (Acute Care)
Socio Economic Objective 920210 Nursing
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, Wiley
Persistent URL http://hdl.handle.net/10536/DRO/DU:30074840

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 2 times in TR Web of Science
Scopus Citation Count Cited 2 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 364 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Fri, 04 Sep 2015, 15:14:33 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.