Evidence map›Paper›PMID 39499518›Full record

ArticleJAMA network open2024

Team and Electronic Health Record Features and Burnout Among Family Physicians.

Lisa S Rotenstein, Nathaniel Hendrix, Robert L Phillips, Julia Adler-Milstein

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

4 authors.

Lisa S RotensteinDivision of Clinical Informatics, Department of Medicine, University of California, San Francisco.
Nathaniel HendrixThe Center for Professionalism & Value in Health Care, American Board of Family Medicine, Washington, DC.
Robert L PhillipsThe Center for Professionalism & Value in Health Care, American Board of Family Medicine, Washington, DC.
Julia Adler-MilsteinDivision of Clinical Informatics, Department of Medicine, University of California, San Francisco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: In the context of a growing volume of electronic health record (EHR)-based work and post-COVID-19 pandemic staffing pressures, health system leaders need an up-to-date understanding of changes in family physicians' experiences of burnout, determinants of burnout, and how to enhance the family physicians' experience. Objective: To evaluate the association of family physicians' perceptions of team structure and EHR experiences with burnout and identify modifiable practice structure factors associated with team and EHR experiences. Design, Setting, and Participants: A serial cross-sectional survey study was conducted from December 1, 2016, to October 24, 2023. Participants included family physicians seeking continuous certification through the American Board of Family Medicine. Main Outcomes and Measures: Yearly prevalence of burnout, perceived team efficiency, perceived EHR proficiency, and perceived EHR time were the outcomes. Multivariable logistic regression models subsequently assessed associations of team- and EHR-related experiences with burnout and the association between practice structure and staffing features in team efficiency and EHR time. Results: The study included 10 315 physicians who answered the subset of questions related to burnout on the American Board of Family Medicine's Continuous Certification Questionnaire between 2017 and 2023. Among the sample, 5584 respondents (54.1%) were male, and the median age was 50 (IQR, 43-58) years. The proportion of physicians reporting burnout ranged from 37.9% in 2017 to a peak of 42.8% in 2022, which did not represent a significant temporal trend (P = .91). Appropriate home EHR use was associated with 0.58 (95% CI, 0.53-0.64; P < .001) times the odds of burnout, while high team efficiency was associated with 0.61 (95% CI, 0.56-0.67; P < .001) times the odds of burnout. Physician collaboration with a registered nurse was associated with greater odds of high team efficiency (odds ratio [OR], 1.35; 95% CI, 1.22-1.50). Collaboration with a physician assistant was associated with greater odds of appropriate home EHR time (OR, 1.13; 95% CI, 1.03-1.24). Conclusions and Relevance: In this national cross-sectional study of US family physicians, appropriate time spent on the EHR at home and primary care team efficiency were associated with lower odds of burnout. These findings suggest that clinical leaders and policymakers should focus on optimizing primary care team support and family physicians' EHR experiences to enhance the sustainability of primary care practice.

Indexed as

Burnout, ProfessionalCOVID-19Electronic Health RecordsPhysicians, FamilySARS-CoV-2AdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedPandemicsPatient Care TeamSurveys and QuestionnairesUnited States

Identifiers

PMID39499518
PMCPMC11539011

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.