Literature DB >> 21521399

Emergency department abnormal vital sign "triggers" program improves time to therapy.

Daniel C McGillicuddy1, Francis J O'Connell, Nathan I Shapiro, Shelly A Calder, Lawrence J Mottley, Jonathan C Roberts, Leon D Sanchez.   

Abstract

BACKGROUND: Implementation of rapid response systems to identify deteriorating patients in the inpatient setting has demonstrated improved patient outcomes. A "trigger" system using vital sign abnormalities to initiate evaluation by physician was recently described as an effective rapid response method.
OBJECTIVES: The objective was to evaluate the effect of a triage-based trigger system on the primary outcome of time to physician evaluation and the secondary outcomes of therapeutic intervention, antibiotics, and disposition in emergency department (ED) patients.
METHODS: A separate-samples pre- and postintervention study was conducted using retrospective chart review of outcomes in ED patients for three arbitrarily selected 5-day periods in 2007 (pretriggers) and 2008 (posttriggers). There were 2,165 and 2,212 charts in the pre- and posttriggers chart review, with 71 and 79 patients meeting trigger criteria. Trigger criteria used to identify patients at triage were: heart rate of <40 or >130 beats/min, respiratory rate of <8 or >30 breaths/min, systolic blood pressure of <90 mm Hg, and oxygen saturation of <90% on room air. Median times (in minutes) were compared between pre- and posttrigger groups with interquartile ranges (IQRs 25-75), with the Wilcoxon rank sum test used to determine statistical significance.
RESULTS: Overall median times were decreased among the posttriggers group. Median times to physician evaluation (21 minutes [IQR = 13-41 minutes] vs. 11 minutes [IQR = 5-21 minutes]; p < 0.001), first intervention (58 minutes [IQR = 20-139 minutes] vs. 26 minutes [IQR = 11-71 minutes]; p < 0.01), and antibiotics (110 minutes [IQR = 74-171 minutes] vs. 69 minutes [IQR = 23-130 minutes]; p < 0.01) were significant. Median times to disposition (177 minutes [IQR = 121-303 minutes] vs. 162 minutes [IQR = 114-230 minutes]; p = 0.18) were not significant.
CONCLUSIONS: Implementation of an ED triggers program allows for more rapid time to physician evaluation, therapeutic intervention, and antibiotics.
© 2011 by the Society for Academic Emergency Medicine.

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Year:  2011        PMID: 21521399     DOI: 10.1111/j.1553-2712.2011.01056.x

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   3.451


  10 in total

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Authors:  P Weyrich; M Christ; N Celebi; R Riessen
Journal:  Med Klin Intensivmed Notfmed       Date:  2012-02-01       Impact factor: 0.840

2.  Improving Five-level Triage Form According to the Experts Viewpoint; A Qualitative Study.

Authors:  Ali Bazm; Elahe Khorasani; Manal Etemadi; Hadi Nadeali
Journal:  Bull Emerg Trauma       Date:  2015-01

3.  Deep-learning approaches to identify critically Ill patients at emergency department triage using limited information.

Authors:  Joshua W Joseph; Evan L Leventhal; Anne V Grossestreuer; Matthew L Wong; Loren J Joseph; Larry A Nathanson; Michael W Donnino; Noémie Elhadad; Leon D Sanchez
Journal:  J Am Coll Emerg Physicians Open       Date:  2020-09-01

4.  Derivation and Validation of Predictive Factors for Clinical Deterioration after Admission in Emergency Department Patients Presenting with Abnormal Vital Signs Without Shock.

Authors:  Daniel J Henning; Kimie Oedorf; Danielle E Day; Colby S Redfield; Colin J Huguenel; Jonathan C Roberts; Leon D Sanchez; Richard E Wolfe; Nathan I Shapiro
Journal:  West J Emerg Med       Date:  2015-12-08

5.  Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning.

Authors:  Steven Horng; David A Sontag; Yoni Halpern; Yacine Jernite; Nathan I Shapiro; Larry A Nathanson
Journal:  PLoS One       Date:  2017-04-06       Impact factor: 3.240

6.  Serum Lactate Predicts Adverse Outcomes in Emergency Department Patients With and Without Infection.

Authors:  Kimie Oedorf; Danielle E Day; Yotam Lior; Victor Novack; Leon D Sanchez; Richard E Wolfe; Hans Kirkegaard; Nathan I Shapiro; Daniel J Henning
Journal:  West J Emerg Med       Date:  2016-12-07

7.  Advanced Triage Protocol: The Role of an Automated Lactate Order in Expediting Rapid Identification of Patients at Risk of Sepsis in the Emergency Department.

Authors:  Andrew Baum; Brendan G Carr; Sarah M Perman; Jennifer Barger; Munish Goyal; David F Gaieski
Journal:  Crit Care Explor       Date:  2022-08-19

8.  Effectiveness of Five-Level Emergency Severity Index Triage System Compared With Three-Level Spot Check: An Iranian Experience.

Authors:  Mohammadreza Maleki; Razieh Fallah; Leila Riahi; Sajad Delavari; Satar Rezaei
Journal:  Arch Trauma Res       Date:  2015-12-12

9.  Accuracy of emergency department triage using the Emergency Severity Index and independent predictors of under-triage and over-triage in Brazil: a retrospective cohort analysis.

Authors:  Jeremiah S Hinson; Diego A Martinez; Paulo S K Schmitz; Matthew Toerper; Danieli Radu; James Scheulen; Sarah A Stewart de Ramirez; Scott Levin
Journal:  Int J Emerg Med       Date:  2018-01-15

10.  Experience Within the Emergency Department and Improved Productivity for First-Year Residents in Emergency Medicine and Other Specialties.

Authors:  Joshua W Joseph; David T Chiu; Matthew L Wong; Carlo L Rosen; Larry A Nathanson; Leon D Sanchez
Journal:  West J Emerg Med       Date:  2017-12-14
  10 in total

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