Evidence map›Paper›PMID 32673234›Full record

ArticleJournal of medical Internet research2020

The Influence of Electronic Health Record Use on Physician Burnout: Cross-Sectional Survey.

Tania Tajirian, Vicky Stergiopoulos, Gillian Strudwick, Lydia Sequeira, Marcos Sanches, Jessica Kemp, Karishini Ramamoorthi, Timothy Zhang, Damian Jankowicz

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed, 8 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

123 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Measuring Documentation Burden in Healthcare.Journal of general internal medicine · 2024
    Pooled it
  4. The role of information systems in emergency department decision-making-a literature review.Journal of the American Medical Informatics Association : JAMIA · 2024
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  8. Exploring the relationship between electronic health records and provider burnout: A systematic review.Journal of the American Medical Informatics Association : JAMIA · 2021
    Pooled it
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  11. Human factors methods for designing safe health information technology: what do the experts think?Journal of the American Medical Informatics Association : JAMIA · 2026
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63 more citing papers are in PubMed but not listed here.

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.

Tania TajirianCentre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0003-0668-4397
Vicky StergiopoulosCentre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0003-3941-9434
Gillian StrudwickCentre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0002-1080-7372
Lydia SequeiraCentre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0002-2715-3918
Marcos SanchesKrembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0001-9075-1761
Jessica KempUniversity of Waterloo, Waterloo, ON, Canada.ORCID 0000-0001-5159-4433
Karishini RamamoorthiMcMaster University, Hamilton, ON, Canada.ORCID 0000-0002-7066-0560
Timothy ZhangUniversity of Waterloo, Waterloo, ON, Canada.ORCID 0000-0002-4002-7705
Damian JankowiczCentre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0002-0579-1337

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysician burnout has a direct impact on the delivery of high-quality health care, with health information technology tools such as electronic health records (EHRs) adding to the burden of practice inefficiencies.

objectiveThe aim of this study was to determine the extent of burnout among physicians and learners (residents and fellows); identify significant EHR-related contributors of physician burnout; and explore the differences between physicians and learners with regard to EHR-related factors such as time spent in EHR, documentation styles, proficiency, training, and perceived usefulness. In addition, the study aimed to address gaps in the EHR-related burnout research methodologies by determining physicians' patterns of EHR use through usage logs.

methodsThis study used a cross-sectional survey methodology and a review of administrative data for back-end log measures of survey respondents' EHR use, which was conducted at a large Canadian academic mental health hospital. Chi-square and Fisher exact tests were used to examine the association of EHR-related factors with general physician burnout. The survey was sent out to 474 individuals between May and June 2019, including physicians (n=407), residents (n=53), and fellows (n=14), and we measured physician burnout and perceptions of EHR stressors (along with demographic and practice characteristics).

resultsOur survey included 208 respondents, including physicians (n=176) and learners (n=32). The response rate was 43.2% for physicians (full-time: 156/208, 75.0%; part-time: 20/199, 10.1%), and 48% (32/67) for learners. A total of 25.6% (45/176) of practicing physicians and 19% (6/32) of learners reported having one or more symptoms of burnout, and 74.5% (155/208) of all respondents who reported burnout symptoms identified the EHR as a contributor. Lower satisfaction and higher frustration with the EHRs were significantly associated with perceptions of EHR contributing toward burnout. Physicians' and learners' experiences with the EHR, gathered through open-ended survey responses, identified challenges around the intuitiveness and usability of the technology as well as workflow issues. Metrics gathered from back-end usage logs demonstrated a 13.6-min overestimation in time spent on EHRs per patient and a 5.63-hour overestimation of after-hours EHR time, when compared with self-reported survey data.

conclusionsThis study suggests that the use of EHRs is a perceived contributor to physician burnout. There should be a focus on combating physician burnout by reducing the unnecessary administrative burdens of EHRs through efficient implementation of systems and effective postimplementation strategies.

Indexed as

AdultBurnout, ProfessionalCross-Sectional StudiesElectronic Health RecordsFemaleHumansMaleMiddle AgedPhysiciansSurveys and Questionnairesburnoutelectronic health recordmedical informaticsphysicianpsychiatry

Identifiers

PMID32673234
PMCPMC7392132

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.