Evidence map›Paper›PMID 40404141›Full record

ArticleApplied clinical informatics2025

The Digital Workload Divide: Investigating Gender Differences in Electronic Health Record Messaging among Primary Care Clinicians.

Julianne Scholes, Lauren Schiff, Alicia Jacobs, Michelle Cangiano, Marie Sandoval

Abstract read
In one paragraph

Article in Applied clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Julianne ScholesThe Robert Larner College of Medicine at the University of Vermont, Burlington, Vermont, United States.
Lauren SchiffThe Robert Larner College of Medicine at the University of Vermont, Burlington, Vermont, United States.
Alicia JacobsThe Robert Larner College of Medicine at the University of Vermont, Burlington, Vermont, United States.
Michelle CangianoThe Robert Larner College of Medicine at the University of Vermont, Burlington, Vermont, United States.
Marie SandovalThe Robert Larner College of Medicine at the University of Vermont, Burlington, Vermont, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electronic health record (EHR) patient portal messaging has become an essential tool for patient-clinician communication by improving accessibility to primary care. While messaging is beneficial for patients, it can increase clinicians' workloads. Female clinicians receive a greater number of EHR messaging, resulting in an increased workload.This evaluation explores the factors in clinician gender disparity in EHR messaging burden.The first phase of the evaluation included a retrospective analysis of the messages to 267 primary care clinicians in the University of Vermont Health Network (UVMHN). The second phase analyzed patient demographics and panel complexity. Statistical analysis was performed across all categories of patient care-generated messages to primary care clinicians and subsequently on all messages across the UVMHN.Female clinicians received significantly more patient-initiated medical advice request messages than their male counterparts (68.28 vs. 49.22 messages/month,

Indexed as

Electronic Health RecordsPhysicians, Primary CarePrimary Health CareSex CharacteristicsWorkloadAdultFemaleHumansMaleMiddle AgedSex Factors

Identifiers

PMID40404141
PMCPMC12513775

What OpenQuestion holds

Textmetadata
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.