Evidence map›Paper›PMID 33659988›Full record

SynthesisJournal of the American Medical Informatics Association : JAMIA2021

Exploring the relationship between electronic health records and provider burnout: A systematic review.

Qi Yan, Zheng Jiang, Zachary Harbin, Preston H Tolbert, Mark G Davies

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 2 pooled it
29.6field-weighted citation impact, top 1% of its field
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

84 citing papers in PubMed, 2 syntheses or guidelines pooled it, 147 citations in OpenAlex.

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  14. Building the future of ICU care: Is our digital foundation strong enough? A multicentre survey of Australian and New Zealand intensive care units.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2025
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24 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

5 authors at 3 institutions in 2 countries.

Qi YanCenter for Quality, Effectiveness and Outcomes in Cardiovascular Diseases, Division of Vascular and Endovascular Surgery, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
Zheng JiangShanghai Medical College, Fudan University, Shanghai, China.
Zachary HarbinDepartment of Surgery, Long School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
Preston H TolbertDepartment of Surgery, Long School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
Mark G DaviesCenter for Quality, Effectiveness and Outcomes in Cardiovascular Diseases, Division of Vascular and Endovascular Surgery, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
Texas Medical Center · USThe University of Texas Health Science Center at San Antonio · USShanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveStress and burnout due to electronic health record (EHR) technology has become a focus for burnout intervention. The aim of this study is to systematically review the relationship between EHR use and provider burnout. MATERIALS AND

methodsA systematic literature search was performed on PubMed, EMBASE, PsychInfo, ACM Digital Library in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. Inclusion criterion was original research investigating the association between EHR and provider burnout. Studies that did not measure the association objectively were excluded. Study quality was assessed using the Medical Education Research Study Quality Instrument. Qualitative synthesis was also performed.

resultsTwenty-six studies met inclusion criteria. The median sample size of providers was 810 (total 20 885; 44% male; mean age 53 [range, 34-56] years). Twenty-three (88%) studies were cross-sectional studies and 3 were single-arm cohort studies measuring pre- and postintervention burnout prevalence. Burnout was assessed objectively with various validated instruments. Insufficient time for documentation (odds ratio [OR], 1.40-5.83), high inbox or patient call message volumes (OR, 2.06-6.17), and negative perceptions of EHR by providers (OR, 2.17-2.44) were the 3 most cited EHR-related factors associated with higher rates of provider burnout that was assessed objectively.

conclusionsThe included studies were mostly observational studies; thus, we were not able to determine a causal relationship. Currently, there are few studies that objectively assessed the relationship between EHR use and provider burnout. The 3 most cited EHR factors associated with burnout were confirmed and should be the focus of efforts to improve EHR-related provider burnout.

Indexed as

Electronic Health RecordsHealth PersonnelAttitude of Health PersonnelBurnout, ProfessionalData Interpretation, StatisticalHumansNursesPhysician AssistantsPhysiciansWorkloadelectronic health recordshealth information technologyprovider burnoutsystematic review

Identifiers

PMID33659988
PMCPMC8068439
OpenAlexW3134273711

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.