Evidence map›Paper›PMID 29545355›Full record

Observational studyEmergency medicine journal : EMJ2018

Modelling attending physician productivity in the emergency department: a multicentre study.

Joshua W Joseph, Samuel Davis, Elissa H Wilker, Matthew L Wong, Ori Litvak, Stephen J Traub, Larry A Nathanson, Leon D Sanchez

Open access · bronzeAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Emergency medicine journal : EMJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
16.2field-weighted citation impact, top 1% 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

16 citing papers in PubMed, 41 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Joshua W JosephDepartment of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0001-9704-6635
Samuel DavisLogixHealth, Bedford, Massachusetts, USA.
Elissa H WilkerHarvard Medical School, Boston, Massachusetts, USA.
Matthew L WongDepartment of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Ori LitvakLogixHealth, Bedford, Massachusetts, USA.
Stephen J TraubDepartment of Emergency Medicine, Mayo Clinic Arizona, Scottsdale, Arizona, USA.
Larry A NathansonDepartment of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Leon D SanchezDepartment of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Beth Israel Deaconess Medical Center · USMayo Clinic in Arizona · US

Funding

Harvard Clinical and Translational Science CenterUL1TR001102 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$106.2M
NCATS NIH HHS UL1 TR001102
6 · The paper itself

Abstract

objectivesEmergency physician productivity, often defined as new patients evaluated per hour, is essential to planning clinical operations. Prior research in this area considered this a static quantity; however, our group's study of resident physicians demonstrated significant decreases in hourly productivity throughout shifts. We now examine attending physicians' productivity to determine if it is also dynamic.

methodsThis is a retrospective cohort study, conducted from 2014 to 2016 across three community hospitals in the north-eastern USA, with different schedules and coverage. Timestamps of all patient encounters were automatically logged by the sites' electronic health record. Generalised estimating equations were constructed to predict productivity in terms of new patients per shift hour.

results207 169 patients were seen by 64 physicians over 2 years, comprising 9822 physician shifts. Physicians saw an average of 15.0 (SD 4.7), 20.9 (SD 6.4) and 13.2 (SD 3.8) patients per shift at the three sites, with 2.97 (SD 0.22), 2.95 (SD 0.24) and 2.17 (SD 0.09) in the first hour. Across all sites, physicians saw significantly fewer new patients after the first hour, with more gradual decreases subsequently. Additional patient arrivals were associated with greater productivity; however, this attenuates substantially late in the shift. The presence of other physicians was also associated with slightly decreased productivity.

conclusionsPhysician productivity over a single shift follows a predictable pattern that decreases significantly on an hourly basis, even if there are new patients to be seen. Estimating productivity as a simple average substantially underestimates physicians' capacity early in a shift and overestimates it later. This pattern of productivity should be factored into hospitals' staffing plans, with shifts aligned to start with the greatest volumes of patient arrivals.

Indexed as

EfficiencyEmergency Service, HospitalModels, TheoreticalAdultCohort StudiesEmergency MedicineFemaleHumansMaleMedical Staff, HospitalMiddle AgedRetrospective StudiesWorkforcecare systemscrowdingemergency department operationsoperationalstaff support

Identifiers

PMID29545355
PMCPMC5916102
OpenAlexW2789301235

What OpenQuestion holds

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LicenceCC BY-NC
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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.