Evidence map›Paper›PMID 30946023›Full record

ArticleJMIR medical informatics2019

Physician Use of Electronic Health Records: Survey Study Assessing Factors Associated With Provider Reported Satisfaction and Perceived Patient Impact.

Daniel Clay Williams, Robert W Warren, Myla Ebeling, Annie L Andrews, Ronald J Teufel Ii

Abstract read
In one paragraph

Article in JMIR medical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
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  15. Electronic health records and clinician burnout: A story of three eras.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
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  17. The Implementation Chasm Hindering Genome-informed Health Care.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2020
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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

5 authors.

Daniel Clay WilliamsDepartment of Pediatrics, Medical University of South Carolina, Charleston, SC, United States.ORCID http://orcid.org/0000-0003-3793-1522
Robert W WarrenDepartment of Pediatrics, Medical University of South Carolina, Charleston, SC, United States.ORCID http://orcid.org/0000-0003-4700-4482
Myla EbelingDepartment of Pediatrics, Medical University of South Carolina, Charleston, SC, United States.ORCID http://orcid.org/0000-0001-5690-5245
Annie L AndrewsDepartment of Pediatrics, Medical University of South Carolina, Charleston, SC, United States.ORCID http://orcid.org/0000-0002-5218-4652
Ronald J Teufel IiDepartment of Pediatrics, Medical University of South Carolina, Charleston, SC, United States.ORCID http://orcid.org/0000-0003-1095-5364

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe effect electronic health record (EHR) implementation has on physician satisfaction and patient care remains unclear. A better understanding of physician perceptions of EHRs and factors that influence those perceptions is needed to improve the physician and patient experience when using EHRs.

objectiveThe objective of this study was to determine provider and clinical practice factors associated with physician EHR satisfaction and perception of patient impact.

methodsWe surveyed a random sample of physicians, including residents and fellows, at a US quaternary care academic hospital from February to March 2016. The survey assessed provider demographics, clinical practice factors (ie, attending, fellow, or resident), and overall EHR experience. The primary outcomes assessed were provider satisfaction and provider perceptions of impact to patient care. Responses on the satisfaction and patient impact questions were recorded on a continuous scale initially anchored at neutral (scale range 0 to 100: 0 defined as "extremely negatively" and 100 as "extremely positively"). Independent variables assessed included demographic and clinical practice factors, including perceived efficiency in using the EHR. One-way analysis of variance or the Kruskal-Wallis test was used for bivariate comparisons, and linear regression was used for multivariable modeling.

resultsOf 157 physicians, 111 (70.7%) completed the survey; 51.4% (57/111) of the respondents were attending physicians, and of those, 71.9% (41/57) reported a >50% clinical full-time-equivalency and half reported supervising residents >50% of the time. A total of 50.5% (56/111) of the respondents were primary care practitioners, previous EHR experience was evenly distributed, and 12.6% (14/111) of the total sample were EHR super-users. Responses to how our current EHR affects satisfaction were rated above the neutral survey anchor point (mean 58 [SD 22]), as were their perceptions as to how the EHR impacts the patient (mean 61 [SD 18]). In bivariate comparisons, only physician age, clinical role (resident, fellow, or attending), and perceived efficiency were associated with EHR satisfaction. In the linear regression models, physicians with higher reported perceived efficiency reported higher overall satisfaction and patient impact after controlling for other variables in the model.

conclusionsPhysician satisfaction with EHRs and their perception of its impact on clinical care were generally positive, but physician characteristics, greater age, and attending level were associated with worse EHR satisfaction. Perceived efficiency is the factor most associated with physician satisfaction with EHRs when controlling for other factors. Understanding physician perceptions of EHRs may allow targeting of technology resources to ensure efficiency and satisfaction with EHR system use during clinical care.

Indexed as

efficiencyelectronic health recordsphysician surveyuser satisfaction

Identifiers

PMID30946023
PMCPMC6470463

What OpenQuestion holds

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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.