Evidence map›Paper›PMID 38717666›Full record

ArticleJournal of general internal medicine2024

Assessment of EHR Efficiency Tools and Resources Associated with Physician Time Spent on the Inbox.

Richa Bundy, Adam Moses, Elisabeth Stambaugh, Paschal Stewart, Lauren Witek, Lindsey Carlasare, Gary Rosenthal, Christine Sinsky, Ajay Dharod

Abstract read
PubMed Full text at PMC Publisher
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Richa BundyInformatics and Analytics (I&A), Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, USA. rbundy@wakehealth.edu.ORCID 0000-0002-2506-5682
Adam MosesInformatics and Analytics (I&A), Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, USA.
Elisabeth StambaughWake Forest Health Network, Atrium Health Wake Forest Baptist, Winston-Salem, NC, USA.
Paschal StewartWake Forest Health Network, Atrium Health Wake Forest Baptist, Winston-Salem, NC, USA.
Lauren WitekInformatics and Analytics (I&A), Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, USA.
Lindsey CarlasareProfessional Satisfaction and Practice Sustainability, American Medical Association, Chicago, IL, USA.
Gary RosenthalInformatics and Analytics (I&A), Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, USA.
Christine SinskyProfessional Satisfaction and Practice Sustainability, American Medical Association, Chicago, IL, USA.
Ajay DharodInformatics and Analytics (I&A), Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, USA.

Funding

Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
NCATS NIH HHS UL1 TR001420
6 · The paper itself

Abstract

backgroundPhysicians are experiencing an increasing burden of messaging within the electronic health record (EHR) inbox. Studies have called for the implementation of tools and resources to mitigate this burden, but few studies have evaluated how these interventions impact time spent on inbox activities.

objectiveExplore the association between existing EHR efficiency tools and clinical resources on primary care physician (PCP) inbox time.

designRetrospective, cross-sectional study of inbox time among PCPs in network clinics affiliated with an academic health system.

participantsOne hundred fifteen community-based PCPs. MAIN MEASURES: Inbox time, in hours, normalized to eight physician scheduled hours (IB-Time KEY

resultsFollowing adjustment for physician sex as well as panel size, age, and morbidity, we observed no significant differences in inbox time for physicians with and without message triage, custom inbox QuickActions, encounter specialists, and message pools. Moreover, IB-Time

conclusionsPhysician inbox time was not associated with existing EHR efficiency tools evaluated in this study. Yet, there may be a slight increase in inbox time among physicians in practices with larger teams.

Indexed as

Electronic Health RecordsPhysicians, Primary CareAdultCross-Sectional StudiesEfficiency, OrganizationalFemaleHumansMaleMiddle AgedRetrospective StudiesTime FactorsEHR inbox efficiencyEHR use metricsinbox timeprimary care

Identifiers

PMID38717666
PMCPMC11436598

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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.