Literature DB >> 26075591

Triage-based resource allocation and clinical treatment protocol on outcome and length of stay in the emergency department.

Young Sun Ro1, Sang Do Shin2, Kyoung Jun Song2, Won Chul Cha3, Jin Sung Cho4.   

Abstract

OBJECTIVE: The present study aimed to determine the relationship between the triage-based resource allocation and clinical treatment (TRACT) protocol and mortality and length of stay (LOS) in ED.
METHODS: This before-and-after study was conducted in an adult, tertiary, teaching hospital ED from August 2008 to July 2012. Patients who were younger than 18 years of age, who were dead on arrival and whose triage information was not available were excluded. TRACT was implemented in August 2010, and the Emergency Severity Index (ESI) was used for triage. Primary and secondary outcomes were ED mortality and ED LOS. Multivariate logistic regression models for ED mortality and multivariable general linear models on the ED LOS were used to compare the before- and after-intervention periods.
RESULTS: For the 155 563 visits over study period, the ED mortality rate was 0.2%, and the ED LOS was 4.6 h (median). The adjusted odds ratios (95% confidence intervals [CIs]) of the TRACT protocol on ED mortality were 0.69 (0.54-0.88) for total patients, 0.42 (0.30-0.59) for ESI 1, 1.04 (0.66-1.65) for ESI 2 and 1.45 (0.76-2.75) for ESI 3 group. The adjusted coefficients (95% CIs) of the TRACT on the ED LOS were -88.1 (-96.9 ∼ -79.2) min for all patients, -44.9 (-72.0 ∼ -17.9) min for ESI level 2 and -104.3 (-114.7 ∼ -94.0) min for ESI level 3.
CONCLUSIONS: The TRACT protocol decreased the ED mortality in ESI 1 group and reduced the ED LOS in ESI levels 2 and 3 groups.
© 2015 Australasian College for Emergency Medicine and Australasian Society for Emergency Medicine.

Entities:  

Keywords:  crowding; emergency department; mortality; triage

Mesh:

Year:  2015        PMID: 26075591     DOI: 10.1111/1742-6723.12426

Source DB:  PubMed          Journal:  Emerg Med Australas        ISSN: 1742-6723            Impact factor:   2.151


  3 in total

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Journal:  J Gen Intern Med       Date:  2019-10       Impact factor: 5.128

2.  The Impact of Middle East Respiratory Syndrome Outbreak on Trends in Emergency Department Utilization Patterns.

Authors:  So Hyun Paek; Do Kyun Kim; Jin Hee Lee; Young Ho Kwak
Journal:  J Korean Med Sci       Date:  2017-10       Impact factor: 2.153

3.  Risk of mortality and cardiopulmonary arrest in critical patients presenting to the emergency department using machine learning and natural language processing.

Authors:  Marta Fernandes; Rúben Mendes; Susana M Vieira; Francisca Leite; Carlos Palos; Alistair Johnson; Stan Finkelstein; Steven Horng; Leo Anthony Celi
Journal:  PLoS One       Date:  2020-04-02       Impact factor: 3.240

  3 in total

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