Evidence map›Paper›PMID 37843702›Full record

ArticleJournal of general internal medicine2024

Quantifying EHR and Policy Factors Associated with the Gender Productivity Gap in Ambulatory, General Internal Medicine.

Huan Li, Lisa Rotenstein, Molly M Jeffery, Hyung Paek, Bidisha Nath, Brian L Williams, Robert M McLean, Richard Goldstein, Teryl K Nuckols, Lalima Hoq and 1 more

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

11 authors.

Huan Li *Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT, USA.
Lisa Rotenstein *Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Molly M JefferyDepartment of Emergency Medicine, Mayo Clinic, Rochester, MN, USA.
Hyung PaekInformation Technology Services, Yale New Haven Health System, New Haven, CT, USA.
Bidisha NathDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, CT, USA.
Brian L WilliamsNortheast Medical Group, Stratford, CT, USA.
Robert M McLeanNortheast Medical Group, Stratford, CT, USA.
Richard GoldsteinNortheast Medical Group, Stratford, CT, USA.
Teryl K NuckolsDivision of General Internal Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Lalima HoqCedars-Sinai Medical Center, Los Angeles, CA, USA.
Edward R MelnickDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, CT, USA. edward.melnick@yale.edu.ORCID 0000-0002-6509-9537

Funding

American Medical Association 19450
6 · The paper itself

Abstract

backgroundThe gender gap in physician compensation has persisted for decades. Little is known about how differences in use of the electronic health record (EHR) may contribute.

objectiveTo characterize how time on clinical activities, time on the EHR, and clinical productivity vary by physician gender and to identify factors associated with physician productivity. DESIGN, SETTING, AND

participantsThis longitudinal study included general internal medicine physicians employed by a large ambulatory practice network in the Northeastern United States from August 2018 to June 2021. MAIN MEASURES: Monthly data on physician work relative value units (wRVUs), physician and practice characteristics, metrics of EHR use and note content, and temporal trend variables. KEY

resultsThe analysis included 3227 physician-months of data for 108 physicians (44% women). Compared with men physicians, women physicians generated 23.8% fewer wRVUs per month, completed 22.1% fewer visits per month, spent 4.0 more minutes/visit and 8.72 more minutes on the EHR per hour worked (all p < 0.001), and typed or dictated 36.4% more note characters per note (p = 0.006). With multivariable adjustment for physician age, practice characteristics, EHR use, and temporal trends, physician gender was no longer associated with productivity (men 4.20 vs. women 3.88 wRVUs/hour, p = 0.31). Typing/dictating fewer characters per note, relying on greater teamwork to manage orders, and spending less time on documentation were associated with higher wRVUs/hour. The 2021 E/M code change was associated with higher wRVUs/hour for all physicians: 10% higher for men physicians and 18% higher for women physicians (p < 0.001 and p = 0.009, respectively).

conclusionsIncreased team support, briefer documentation, and the 2021 E/M code change were associated with higher physician productivity. The E/M code change may have preferentially benefited women physicians by incentivizing time-intensive activities such as medical decision-making, preventive care discussion, and patient counseling that women physicians have historically spent more time performing.

Indexed as

Electronic Health RecordsGeneral PractitionersEfficiency, OrganizationalFemaleHumansInternal MedicineLongitudinal StudiesMale

Identifiers

PMID37843702
PMCPMC10973284

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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.