Under-triage: A New Trigger to Drive Quality Improvement in the Emergency Department
Introduction: The emergency department (ED) is a care setting with a high risk for medical error. In collaboration with our nursing colleagues, we identified a new trigger, under-triage, and demonstrated how its implementation could detect and reduce medical errors in the ED. Methods: We defined und...
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Published in | Pediatric quality & safety Vol. 7; no. 4; p. e581 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Hagerstown, MD
Lippincott Williams & Wilkins
01.07.2022
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Subjects | |
Online Access | Get full text |
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Summary: | Introduction: The emergency department (ED) is a care setting with a high risk for medical error. In collaboration with our nursing colleagues, we identified a new trigger, under-triage, and demonstrated how its implementation could detect and reduce medical errors in the ED. Methods: We defined under-triage as patient visits with an Emergency Severity Index (ESI) score of 4 or 5 (ie, low acuity), and the patient was admitted to the hospital during the same visit. We defined mistriage, or medical error, when nurse-physician dyad reviewers determined that a different ESI level should have been assigned based on the information available at triage. A multidisciplinary team used nominal group technique to build consensus on key drivers and outcome metrics for this new trigger. We randomly selected 267 charts for review utilizing the under-triage trigger. Results: Of the 125,457 patients triaged as level 4 or 5 in 2019 and 2020, 1.1% (n = 1,423) were under-triaged. Of the 267 charts reviewed, 127 were categorized as mistriage, making the under-triage’s positive predictive value trigger 48%. Reviews took 2–10 minutes per chart. We identified 10 categories of under-triage. Nine themes emerged, with four specific and measurable action items mapped to process and outcome metrics. Conclusions: We identify a new, feasible ED trigger, under-triage, that identifies medical error with a high positive predictive value. We identify process and outcome metrics and interventions to improve triage for future patients. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 2472-0054 2472-0054 |
DOI: | 10.1097/pq9.0000000000000581 |