Evidence map›Paper›PMID 34897493›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2022

Primary care physicians' electronic health record proficiency and efficiency behaviors and time interacting with electronic health records: a quantile regression analysis.

Oliver T Nguyen, Kea Turner, Nate C Apathy, Tanja Magoc, Karim Hanna, Lisa J Merlo, Christopher A Harle, Lindsay A Thompson, Eta S Berner, Sue S Feldman

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
–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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Measuring Documentation Burden in Healthcare.Journal of general internal medicine · 2024
    Pooled it
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  12. Celebrating Eta Berner and her influence on biomedical and health informatics.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
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  16. Observational
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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

10 authors.

Oliver T NguyenDepartment of Health Services Administration, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Kea TurnerDepartment of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, Florida, USA.
Nate C ApathyLeonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-7775-8544
Tanja MagocClinical and Translational Science Institute, University of Florida, Gainesville, Florida, USA.
Karim HannaDepartment of Family Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA.
Lisa J MerloDepartment of Psychiatry, University of Florida, Gainesville, Florida, USA.
Christopher A HarleClinical and Translational Science Institute, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-4803-3632
Lindsay A ThompsonDepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida, USA.
Eta S BernerDepartment of Health Services Administration, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Sue S FeldmanDepartment of Health Services Administration, University of Alabama at Birmingham, Birmingham, Alabama, USA.

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
UF Clinical and Translational Science AwardUL1TR000064 · NCATS · UNIVERSITY OF FLORIDA · PI NELSON, DAVID R · 2012 to 2014
$12.2M
NCATS NIH HHS UL1TR000064NCATS NIH HHS UL1 TR001427
6 · The paper itself

Abstract

objectiveThis study aimed to understand the association between primary care physician (PCP) proficiency with the electronic health record (EHR) system and time spent interacting with the EHR. MATERIALS AND

methodsWe examined the use of EHR proficiency tools among PCPs at one large academic health system using EHR-derived measures of clinician EHR proficiency and efficiency. Our main predictors were the use of EHR proficiency tools and our outcomes focused on 4 measures assessing time spent in the EHR: (1) total time spent interacting with the EHR, (2) time spent outside scheduled clinical hours, (3) time spent documenting, and (4) time spent on inbox management. We conducted multivariable quantile regression models with fixed effects for physician-level factors and time in order to identify factors that were independently associated with time spent in the EHR.

resultsAcross 441 primary care physicians, we found mixed associations between certain EHR proficiency behaviors and time spent in the EHR. Across EHR activities studied, QuickActions, SmartPhrases, and documentation length were positively associated with increased time spent in the EHR. Models also showed a greater amount of help from team members in note writing was associated with less time spent in the EHR and documenting. DISCUSSION: Examining the prevalence of EHR proficiency behaviors may suggest targeted areas for initial and ongoing EHR training. Although documentation behaviors are key areas for training, team-based models for documentation and inbox management require further study.

conclusionsA nuanced association exists between physician EHR proficiency and time spent in the EHR.

Indexed as

Electronic Health RecordsPhysicians, Primary CareDocumentationHumansRegression Analysisdocumentation burdenEHR optimizationEHR useprimary care physicians

Identifiers

PMID34897493
PMCPMC8800512

What OpenQuestion holds

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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.