ArticleJAMA network open2023
Evaluation of the Emergency Severity Index in US Emergency Departments for the Rate of Mistriage.
Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 46 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
46 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic accuracy of large language models for emergency department triage: a systematic review and meta-analysis.BMC emergency medicine · 2026Pooled it
- Evaluating Large Language Model-Assisted Emergency Triage: A Comparison of Acuity Assessments by GPT-4 and Medical Experts.Journal of clinical nursing · 2026Observational
- Comparing Safety and Accuracy of Standardised Versus Subjective Triage Code Assignment by Nurses: A Multicenter Observational Simulated Study.Journal of clinical nursing · 2026Observational
- IMPACT: Integrated Model For Patient Acuity, Care, And Triage Efficiency In Emergency Department.Journal of medical systems · 2026Article
- Interrater Reliability in the Triage of Children With Mental and Behavioral Health Symptoms Using Two Triage Systems.Journal of emergency nursing · 2026Article
- Unravelling emergency department triage in everyday practice: An ethnographic study of underlying mechanisms across three Danish emergency departments.BMC emergency medicine · 2026Article
- Development and temporal evaluation of an emergency severity index-informed Bayesian sequential model for hospital admission prediction using time-to-urination.Scientific reports · 2026Article
- Article
- Machine learning models to detect opioid misuse in emergency department patients at triage.The American journal of emergency medicine · 2026Article
- Reducing Mis-triage in Emergency Departments (RemEDy): Protocol for Improving Triage Accuracy Through Real-time Evaluation and Artificial Intelligence.JMIR research protocols · 2026Article
- The Benefit of the Doubt Phenomenon in Emergency Triage Assignment Disparities.medRxiv : the preprint server for health sciences · 2026Article
- Mobile triage units for abdominal trauma in sub-Saharan Africa: current evidence, implementation barriers, and strategies for scale-up.Annals of medicine and surgery (2012) · 2026Review
- Multi-Evidence Clinical Reasoning With Retrieval-Augmented Generation for Emergency Triage: Retrospective Evaluation Study.JMIR medical informatics · 2026Article
- Emergency Department Wait Times for Urgent Evaluation by Race, Ethnicity, and Language: A Single-center Retrospective Study.The western journal of emergency medicine · 2025Article
- Comparing Care Delivery Efficiency Between Emergency Department and Oncology Urgent Care.The Permanente journal · 2025Article
- Factors Influencing Mistriage Based on the Korean Triage and Acuity Scale: A Retrospective Cross-Sectional Study.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2025Article
- A foundational triage system for improving accuracy in moderate acuity level emergency classifications.Communications medicine · 2025Article
- Machine learning models to detect opioid misuse in Emergency Department patients at triage.medRxiv : the preprint server for health sciences · 2025Article
- Characterizing the influence of skin pigmentation on pulse oximetry.Biophotonics discovery · 2025Article
- Comment on van wegen et al.: the association between urgency level and hospital admission, mortality and resource utilization in three emergency department triage systems.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Accurate emergency department (ED) triage is essential to prioritize the most critically ill patients and distribute resources appropriately. The most used triage system in the US is the Emergency Severity Index (ESI). Objectives: To derive and validate an algorithm to assess the rate of mistriage and to identify characteristics associated with mistriage. Design, Setting, and Participants: This retrospective cohort study created operational definitions for each ESI level that use ED visit electronic health record data to classify encounters as undertriaged, overtriaged, or correctly triaged. These definitions were applied to a retrospective cohort to assess variation in triage accuracy by facility and patient characteristics in 21 EDs within the Kaiser Permanente Northern California (KPNC) health care system. All ED encounters by patients 18 years and older between January 1, 2016, and December 31, 2020, were assessed for eligibility. Encounters with missing ESI or incomplete ED time variables and patients who left against medical advice or without being seen were excluded. Data were analyzed between January 1, 2021, and November 30, 2022. Exposures: Assigned ESI level. Main Outcomes and Measures: Rate of undertriage and overtriage by assigned ESI level based on a mistriage algorithm and patient and visit characteristics associated with undertriage and overtriage. Results: A total of 5 315 176 ED encounters were included. The mean (SD) patient age was 52 (21) years; 44.3% of patients were men and 55.7% were women. In terms of race and ethnicity, 11.1% of participants were Asian, 15.1% were Black, 21.4% were Hispanic, 44.0% were non-Hispanic White, and 8.5% were of other (includes American Indian or Alaska Native, Native Hawaiian or other Pacific Islander, and multiple races or ethnicities), unknown, or missing race or ethnicity. Mistriage occurred in 1 713 260 encounters (32.2%), of which 176 131 (3.3%) were undertriaged and 1 537 129 (28.9%) were overtriaged. The sensitivity of ESI to identify a patient with high-acuity illness (correctly assigning ESI I or II among patients who had a life-stabilizing intervention) was 65.9%. In adjusted analyses, Black patients had a 4.6% (95% CI, 4.3%-4.9%) greater relative risk of overtriage and an 18.5% (95% CI, 16.9%-20.0%) greater relative risk of undertriage compared with White patients, while Black male patients had a 9.9% (95% CI, 9.8%-10.0%) greater relative risk of overtriage and a 41.0% (95% CI, 40.0%-41.9%) greater relative risk of undertriage compared with White female patients. High relative risk of undertriage was found among patients taking high-risk medications (30.3% [95% CI, 28.3%-32.4%]) and those with a greater comorbidity burden (22.4% [95% CI, 20.1%-24.4%]) and recent intensive care unit utilization (36.7% [95% CI, 30.5%-41.4%]). Conclusions and Relevance: In this retrospective cohort study of over 5 million ED encounters, mistriage with ESI was common. Quality improvement should focus on limiting critical undertriage, optimizing resource allocation by patient need, and promoting equity.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.