A Web-Based Tool for Patient Triage in Emergency Department Settings: Validation Using the Emergency Severity Index

Background We evaluated the concordance between triage scores generated by a novel Internet clinical decision support tool, Clinical GPS (cGPS) (Lumiata Inc, San Mateo, CA), and the Emergency Severity Index (ESI), a well-established and clinically validated patient severity scale in use today. Although the ESI and cGPS use different underlying algorithms to calculate patient severity, both utilize a five-point integer scale with level 1 representing the highest severity. Objective The objective of this study was to compare cGPS results with an established gold standard in emergency triage. Methods We conducted a blinded trial comparing triage scores from the ESI: A Triage Tool for Emergency Department Care, Version 4, Implementation Handbook to those generated by cGPS from the text of 73 sample case vignettes. A weighted, quadratic kappa statistic was used to assess agreement between cGPS derived severity scores and those published in the ESI handbook for all 73 cases. Weighted kappa concordance was defined a priori as almost perfect (kappa > 0.8), substantial (0.6 < kappa < 0.8), moderate (0.4 < kappa < 0.6), fair (0.2 < kappa< 0.4), or slight (kappa < 0.2). Results Of the 73 case vignettes, the cGPS severity score matched the ESI handbook score in 95% of cases (69/73 cases), in addition, the weighted, quadratic kappa statistic showed almost perfect agreement (kappa = 0.93, 95% CI 0.854-0.996). In the subanalysis of 41 case vignettes assigned ESI scores of level 1 or 2, the cGPS and ESI severity scores matched in 95% of cases (39/41 cases). Conclusions These results indicate that the cGPS is a reliable indicator of triage severity, based on its comparison to a standardized index, the ESI. Future studies are needed to determine whether the cGPS can accurately assess the triage of patients in real clinical environments.

[1]  J. R. Landis,et al.  The measurement of observer agreement for categorical data. , 1977, Biometrics.

[2]  D. Baker,et al.  Regular source of ambulatory care and medical care utilization by patients presenting to a public hospital emergency department. , 1994, JAMA.

[3]  Richard C. Wuerz,et al.  Inconsistency of Emergency Department Triage , 1998 .

[4]  R. Beveridge,et al.  CAEP issues. The Canadian Triage and Acuity Scale: a new and critical element in health care reform. Canadian Association of Emergency Physicians. , 1998, The Journal of emergency medicine.

[5]  R. Wuerz,et al.  Inconsistency of emergency department triage. Emergency Department Operations Research Working Group. , 1998, Annals of emergency medicine.

[6]  D. Eitel,et al.  Reliability and validity of a new five-level triage instrument. , 2000, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[7]  R. Wuerz,et al.  Emergency severity index triage category is associated with six-month survival. ESI Triage Study Group. , 2008, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[8]  Christopher R Carpenter,et al.  Kappa statistic , 2005, Canadian Medical Association Journal.

[9]  G. M. Allan,et al.  Kappa statistic , 2005, Canadian Medical Association Journal.

[10]  D. Travers,et al.  Refining Emergency Severity Index triage criteria. , 2005, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[11]  B. Foley,et al.  Impact on patients triage distribution utilizing the Australasian Triage Scale compared with its predecessor the National Triage Scale , 2005, Emergency medicine Australasia : EMA.

[12]  Brian H Rowe,et al.  Reliability of computerized emergency triage. , 2006, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[13]  Anna Ehrenberg,et al.  Emergency department triage: is there a link between nurses' personal characteristics and accuracy in triage decisions? , 2006, Accident and emergency nursing.

[14]  Peter Bacchetti,et al.  Effect of emergency department crowding on time to antibiotics in patients admitted with community-acquired pneumonia. , 2007, Annals of emergency medicine.

[15]  Eric W Nawar,et al.  National Hospital Ambulatory Medical Care Survey: 2005 emergency department summary. , 2007, Advance data.

[16]  B. Middel The impact of electronic health records on time efficiency of physicians and nurses: a systematic review1) , 2008 .

[17]  S. Manzano,et al.  Interrater agreement between nurses for the Pediatric Canadian Triage and Acuity Scale in a tertiary care center. , 2008, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[18]  I. V. D. Wulp,et al.  Adjusting weighted kappa for severity of mistriage decreases reported reliability of emergency department triage systems: a comparative study. , 2009 .

[19]  A I Grouse,et al.  The Manchester Triage System provides good reliability in an Australian emergency department , 2009, Emergency Medicine Journal.

[20]  H. V. van Stel,et al.  Adjusting weighted kappa for severity of mistriage decreases reported reliability of emergency department triage systems: a comparative study. , 2009, Journal of clinical epidemiology.

[21]  D. Travers,et al.  Reliability and validity of the emergency severity index for pediatric triage. , 2009, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[22]  Jason A. Lyman,et al.  Clinical decision support: progress and opportunities , 2010, J. Am. Medical Informatics Assoc..

[23]  H. V. van Stel,et al.  Calculating kappas from adjusted data improved the comparability of the reliability of triage systems: a comparative study. , 2010, Journal of clinical epidemiology.

[24]  Gerard FitzGerald,et al.  Emergency department triage revisited , 2009, Emergency Medicine Journal.

[25]  J. Poitras,et al.  Interrater agreement of Canadian Emergency Department Triage and Acuity Scale scores assigned by base hospital and emergency department nurses. , 2010, CJEM.

[26]  I. V. D. Wulp,et al.  Calculating kappas from adjusted data improved the comparability of the reliability of triage systems: a comparative study , 2010 .

[27]  C. Ng,et al.  Validation of the Taiwan triage and acuity scale: a new computerised five-level triage system , 2010, Emergency Medicine Journal.

[28]  Anna Ehrenberg,et al.  Emergency Department Triage Scales and Their Components: A Systematic Review of the Scientific Evidence , 2011, Scandinavian journal of trauma, resuscitation and emergency medicine.

[29]  W. Baine,et al.  The Agency for Healthcare Research and Quality , 2006, Italian Journal of Public Health.

[30]  A. Auerbach,et al.  Blood culture use in the emergency department in patients hospitalized with respiratory symptoms due to a nonpneumonia illness. , 2014, Journal of hospital medicine.

[31]  Robert A. Greenes,et al.  Evaluation of the Effect of Decision Support on the Efficiency of Primary Care Providers in the Outpatient Practice , 2015, Journal of primary care & community health.