Evidence map›Paper›PMID 36923244›Full record

ArticleJournal of the American College of Emergency Physicians open2023

Accuracy of physician self-estimation of time spent during patient care in the emergency department.

Martin A Reznek, Virginia Mangolds, Kevin A Kotkowski, Kian D Samadian, James Joseph, Celine Larkin

Open access · goldAbstract read
In one paragraph

Article in Journal of the American College of Emergency Physicians open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Observational
  2. Article
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  6. Accuracy of physician self-estimation of time spent during patient care in the emergency department.Journal of the American College of Emergency Physicians open · 2023
    Article
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

6 authors at 4 institutions in 1 country.

Martin A ReznekDepartment of Emergency Medicine UMass Chan Medical School Worcester Massachusetts USA.
Virginia MangoldsDepartment of Emergency Medicine UMass Chan Medical School Worcester Massachusetts USA.
Kevin A KotkowskiDepartment of Emergency Medicine UMass Chan Medical School Worcester Massachusetts USA.
Kian D SamadianDepartment of Emergency Medicine Massachusetts General Hospital & Brigham and Women's Hospital Boston Massachusetts USA.
James JosephDepartment of Emergency Medicine Alpert Medical School of Brown University Providence Rhode Island USA.
Celine LarkinDepartment of Emergency Medicine UMass Chan Medical School Worcester Massachusetts USA.
University of Massachusetts Chan Medical School · USBrigham and Women's Hospital · USBrown University · USUMass Memorial Health Care · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Accurate measurement of physicians' time spent during patient care stands to inform emergency department (ED) improvement efforts. Direct observation is time consuming and cost prohibitive, so we sought to determine if physician self-estimation of time spent during patient care was accurate. Methods: We performed a prospective, convenience-sample study in which research assistants measured time spent by ED physicians in patient care. At the conclusion of each observed encounter, physicians estimated their time spent. Using Mann-Whitney Results: Among 214 encounters across 10 physicians, we observed a medium-sized correlation between actual and estimated time (Spearman's rho = 0.63, Conclusions: Physician self-estimation of time spent was accurate in aggregate, providing evidence that it is a valid surrogate marker for larger-scale process improvement and research activities, but likely not at the encounter level. Investigations exploring mechanisms to augment physician self-estimation, including modeling and technological support, may yield pathways to make self-estimation valid also at the encounter level.

Identifiers

PMID36923244
PMCPMC10009413
OpenAlexW4324091391

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.