Literature DB >> 29914922

Extending the Sydney Triage to Admission Risk Tool (START+) to predict discharges and short stay admissions.

Anja Ebker-White1, Kendall J Bein2, Michael M Dinh3.   

Abstract

OBJECTIVE: This study aims to validate previously reported triage tool titled Sydney Triage to Admission Risk Tool (START+) and investigate whether an extended version of the tool could be used to identify and stream appropriate short stay admissions to ED observation units or specialised short stay inpatient wards.
METHODS: This was a prospective study at two metropolitan EDs in Sydney, Australia. Consecutive triage encounters were observed by a trained researcher and START scores calculated. The primary outcome was length of stay <48 hours. Multivariable logistic regression was used to estimate area under curve of receiver operator characteristic (AUROC) for START scores. The original START tool was then extended to include frailty and multiple or major comorbidities as additional variables to assess for further predictive accuracy.
RESULTS: There were 894 patients analysed during the study period. Of the 894 patients, there were 732 patients who were either discharged from ED or admitted for <2 days. The AUROC for the original START+ tool was 0.80 (95% CI 0.77 to 0.83). The presence of frailty was found to add a further five points and multiple comorbidities added another four points on top of the START score, and the AUROC for the extended START score 0.84 (95% CI 0.81 to 0.88).
CONCLUSION: The overall performance of the extended ED disposition prediction tool that included frailty and multiple medical comorbidities significantly improved the ability of the START tool to identify patients likely to be discharged from ED or require short stay admission <2 days. TRIAL REGISTRATION NUMBER: ACTRN12618000426280. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  assessment; efficiency; emergency care systems; emergency departments; triage

Mesh:

Year:  2018        PMID: 29914922     DOI: 10.1136/emermed-2017-207227

Source DB:  PubMed          Journal:  Emerg Med J        ISSN: 1472-0205            Impact factor:   2.740


  2 in total

1.  The Sydney triage to admission risk tool (START) to improve patient flow in an emergency department: a model of care implementation pilot study.

Authors:  Anja Ebker-White; Kendall J Bein; Saartje Berendsen Russell; Michael M Dinh
Journal:  BMC Emerg Med       Date:  2019-12-05

2.  Factors associated with admission to bed-based care: observational prospective cohort study in a multidisciplinary same day emergency care unit (SDEC).

Authors:  Tania C N Elias; Jordan Bowen; Royah Hassanzadeh; Daniel S Lasserson; Sarah T Pendlebury
Journal:  BMC Geriatr       Date:  2021-01-06       Impact factor: 3.921

  2 in total

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