The Copenhagen Triage Algorithm is non-inferior to a traditional triage algorithm: A cluster-randomized study

被引:7
作者
Hasselbalch, Rasmus Bo [1 ]
Pries-Heje, Mia [1 ]
Schultz, Martin [1 ]
Plesner, Louis Lind [1 ]
Ravn, Lisbet [2 ]
Lind, Morten [2 ]
Greibe, Rasmus [3 ]
Jensen, Birgitte Nybo [4 ]
Hoi-Hansen, Thomas [1 ]
Carlson, Nicholas [5 ,6 ]
Torp-Pedersen, Christian [7 ,8 ]
Rasmussen, Lars S. [9 ]
Iversen, Kasper [1 ,2 ]
机构
[1] Herlev Gentofte Hosp, Dept Cardiol, Copenhagen, Denmark
[2] Herlev Gentofte Hosp, Dept Emergency Med, Copenhagen, Denmark
[3] Bispebjerg Hosp, Dept Cardiol, Copenhagen, Denmark
[4] Bispebjerg Hosp, Dept Emergency Med, Copenhagen, Denmark
[5] Gentofte Univ Hosp, Dept Cardiol, Copenhagen, Denmark
[6] Danish Heart Fdn, Copenhagen, Denmark
[7] Aalborg Univ, Dept Hlth Sci & Technol, Aalborg, Denmark
[8] Aalborg Univ Hosp, Dept Cardiol & Epidemiol Biostat, Aalborg, Denmark
[9] Univ Copenhagen, Rigshosp, Ctr Head & Orthopaed, Dept Anaesthesia, Copenhagen, Denmark
来源
PLOS ONE | 2019年 / 14卷 / 02期
关键词
D O I
10.1371/journal.pone.0211769
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Introduction Triage systems with limited room for clinical judgment are used by emergency departments (EDs) worldwide. The Copenhagen Triage Algorithm (CTA) is a simplified triage system with a clinical assessment. Methods The trial was a non-inferiority, two-center cluster-randomized crossover study where CTA was compared to a local adaptation of Adaptive Process Triage (ADAPT). CTA involves initial categorization based on vital signs with a final modification based on clinical assessment by an ED nurse. We used 30-day mortality with a non-inferiority margin at 0.5%. Predictive performance was compared using Receiver Operator Characteristics. Results We included 45,347 patient visits, 23,158 (51%) and 22,189 (49%) were triaged with CTA and ADAPT respectively with a 30-day mortality of 3.42% and 3.43% (P = 0.996) a difference of 0.01% (95% CI: -0.34 to 0.33), which met the non-inferiority criteria. Mortality at 48 hours was 0.62% vs. 0.71%, (P = 0.26) and 6.38% vs. 6.61%, (P = 0.32) at 90 days for CTA and ADAPT. CTA triaged at significantly lower urgency level (P<0.001) and was superior in predicting 30-day mortality, Area under the curve: 0.67 (95% CI 0.65-0.69) compared to 0.64 for ADAPT (95% CI 0.62-0.66) (P = 0.03). There were no significant differences in rate of admission to the intensive care unit, length of stay, waiting time nor rate of readmission within 30 or 90 days. Conclusion A novel triage system based on vital signs and a clinical assessment by an ED nurse was non-inferior to a traditional triage algorithm by short term mortality, and superior in predicting 30-day mortality.
引用
收藏
页数:13
相关论文
共 21 条
  • [1] Australian Government-Department of Health and Ageing, NON TRADITIONAL REF
  • [2] The formation and design of the 'Acute Admission Database'- a database including a prospective, observational cohort of 6279 patients triaged in the Emergency Department in a larger Danish hospital
    Barfod, Charlotte
    Lauritzen, Marlene Mauson Pankoke
    Danker, Jakob Klim
    Soletormos, Gyorgy
    Berlac, Peter Anthony
    Lippert, Freddy
    Lundstrom, Lars Hyldborg
    Antonsen, Kristian
    Lange, Kai Henrik Wiborg
    [J]. SCANDINAVIAN JOURNAL OF TRAUMA RESUSCITATION & EMERGENCY MEDICINE, 2012, 20 : 29
  • [3] Abnormal vital signs are strong predictors for intensive care unit admission and in-hospital mortality in adults triaged in the emergency department - a prospective cohort study
    Barfod, Charlotte
    Lauritzen, Marlene Mauson Pankoke
    Danker, Jakob Klim
    Soeletormos, Gyoergy
    Forberg, Jakob Lundager
    Berlac, Peter Anthony
    Lippert, Freddy
    Lundstrom, Lars Hyldborg
    Antonsen, Kristian
    Lange, Kai Henrik Wiborg
    [J]. SCANDINAVIAN JOURNAL OF TRAUMA RESUSCITATION & EMERGENCY MEDICINE, 2012, 20
  • [4] Nurses and Physicians in a Medical Admission Unit Can Accurately Predict Mortality of Acutely Admitted Patients: A Prospective Cohort Study
    Brabrand, Mikkel
    Hallas, Jesper
    Knudsen, Torben
    [J]. PLOS ONE, 2014, 9 (07):
  • [5] The Relationship Between Emergency Department Crowding and Patient Outcomes: A Systematic Review
    Carter, Eileen J.
    Pouch, Stephanie M.
    Larson, Elaine L.
    [J]. JOURNAL OF NURSING SCHOLARSHIP, 2014, 46 (02) : 106 - 115
  • [6] Emergency Department Triage Scales and Their Components: A Systematic Review of the Scientific Evidence
    Farrohknia, Nasim
    Castren, Maaret
    Ehrenberg, Anna
    Lind, Lars
    Oredsson, Sven
    Jonsson, Hakan
    Asplund, Kjell
    Goransson, Katarina E.
    [J]. SCANDINAVIAN JOURNAL OF TRAUMA RESUSCITATION & EMERGENCY MEDICINE, 2011, 19
  • [7] Swedish emergency department triage and interventions for improved patient flows: a national update
    Farrokhnia, Nasim
    Goransson, Katarina E.
    [J]. SCANDINAVIAN JOURNAL OF TRAUMA RESUSCITATION & EMERGENCY MEDICINE, 2011, 19
  • [8] Emergency department triage revisited
    FitzGerald, Gerard
    Jelinek, George A.
    Scott, Deborah
    Gerdtz, Marie Frances
    [J]. EMERGENCY MEDICINE JOURNAL, 2010, 27 (02) : 86 - 92
  • [9] Gilboy N, 2011, NON TRADITIONAL REF
  • [10] Critical appraisal of papers describing triage systems
    Hardern, RD
    [J]. ACADEMIC EMERGENCY MEDICINE, 1999, 6 (11) : 1166 - 1171