ArticleAEM education and training2021
Triage physicians in an academic emergency department: Impact on resident education.
Article in AEM education and training, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed.
- The effects of overcrowding, boarding, and physician-in-triage on resident education: A scoping review.AEM education and training · 2025Article
- Effects of opening a vertical care area on emergency medicine resident clinical experience.AEM education and training · 2024Article
- Development and implementation of just-in-time curricula for on-shift teaching during times of boarding.AEM education and training · 2024Article
- Is boarding compromising our residents' education? A national survey of emergency medicine program directors.AEM education and training · 2024Article
- In reply to "Turning lemons into lemonade: Teaching strategies in boarded emergency departments."AEM education and training · 2024Article
- Turning lemons into lemonade: Teaching strategies in boarded emergency departments.AEM education and training · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOvercrowding in emergency departments (EDs) in the United States has been linked to worse patient outcomes. Implementation of countermeasures such as a physician-in-triage (PIT) system have improved patient care and decreased wait times. The purpose of this study was to evaluate how a PIT system affects medical resident education in an academic ED.
methodsThis was a retrospective observational comparison of resident metrics at a single-site, urban, academic ED before and after implementing a PIT system. Resident metrics of average emergency severity index (ESI), patients-per-hour, and in-training-examination scores were measured before and six months after the implementation of the PIT system.
resultsIn total, 18,231 patients were evaluated by all residents in the study period before PIT implementation compared to 17,008 in the study period following PIT implementation. The average ESI among patients evaluated by residents decreased from 3.00 to 2.68 (p < 0.01, 95% confidence interval [CI] = 0.31 to 0.33), while average resident patient-per-hour rate decreased from 1.41 to 1.32 (p < 0.01, 95% CI = 0.05 to 0.13] and ITE scores saw no statistically significant change of 76.11 to 78.26 (p = 0.26, 95% CI = -5.75 to 1.45). While these differences are statistically significant, they are likely not clinically significant.
conclusionsOur implementation of PIT system at one academic medical center minimally increased the acuity and minimally decreased the number of patients that residents see. This suggested that in our center, a PIT program did not detract from ED resident clinical education. However, further research with alternative markers in multiple centers is needed.
Identifiers
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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.