Evidence map›Paper›PMID 38911935›Full record

ArticleAEM education and training2024

Individualized throughput metric reports for emergency medicine residents: Impact on time to disposition and resident perceptions.

Brent A Becker, Andrew J Bleinberger, Brandon J Golden, Amber S Billet

Abstract read
In one paragraph

Article in AEM education and training, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Brent A BeckerDepartment of Emergency Medicine WellSpan York Hospital York Pennsylvania USA.ORCID https://orcid.org/0000-0001-6057-053X
Andrew J BleinbergerDepartment of Emergency Medicine WellSpan York Hospital York Pennsylvania USA.
Brandon J GoldenDepartment of Emergency Medicine WellSpan York Hospital York Pennsylvania USA.
Amber S BilletDepartment of Emergency Medicine WellSpan York Hospital York Pennsylvania USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Research suggests that quantitative metric reports can improve the clinical performance of emergency physicians; however, few studies have examined their effects on physicians in training. The primary study objective was to assess the effects of providing emergency medicine (EM) residents with individualized throughput metrics with regard to emergency department (ED) disposition times. Methods: We performed a single-center, retrospective, observational study from January 2021 to December 2022 examining ED disposition times before and after providing upper-level EM residents individualized throughput metrics. Residents received monthly reports of three specific metrics averaged over the preceding 6 months: (1) median time from room to discharge order (Rm2Dc), (2) median time from return of all results to discharge order (Rlts2Dc), and (3) median time from room and to consult order for hospitalization (Rm2Hosp). Overall mean values of the three metrics before and during metric sharing were compared via independent Results: A total of 35 unique residents were included in the analysis. Overall, mean disposition times were not significantly different before and during reporting of metrics: Rm2Dc (154.8 min vs. 148.9 min, Conclusions: Overall, individualized throughput metrics were not correlated with decreased average times to ED disposition for upper-level EM residents; however, in the subset of hospitalized patients seen by PGY-3 residents, we observed a mean decrease of 21.7 min to consultation.

Indexed as

emergency medicinemetricsperformanceresidentthroughput

Identifiers

PMID38911935
PMCPMC11187857

What OpenQuestion holds

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Registered trials

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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.