ArticleACI open2020
Physician Burnout and Timing of Electronic Health Record Use.
Article in ACI open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Factors associated with nurse well-being in relation to electronic health record use: A systematic review.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- A systematic review of contributing factors of and solutions to electronic health record-related impacts on physician well-being.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Article
- Behavioral Phenotypes in Electronic Health Record Use by Primary Care Providers: a Cluster Analysis.Journal of general internal medicine · 2025Article
- Documentation dynamics: Note composition, burden, and physician efficiency.Health services research · 2023Article
- I had not time to make it shorter: an exploratory analysis of how physicians reduce note length and time in notes.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Creating Conversion Factors from EHR Event Log Data: A Comparison of Investigator-Derived and Vendor-Derived Metrics for Primary Care Physicians.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Observational
- Towards better understanding of workplace factors contributing to hospitalist burden and burnout prior to COVID-19 pandemic.Applied ergonomics · 2023Article
- Article
- Using event logs to observe interactions with electronic health records: an updated scoping review shows increasing use of vendor-derived measures.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Analysis of Electronic Health Record Use and Clinical Productivity and Their Association With Physician Turnover.JAMA network open · 2021Article
- The association between perceived electronic health record usability and professional burnout among US nurses.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Characterizing physician EHR use with vendor derived data: a feasibility study and cross-sectional analysis.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- A Scoping Review of Health Information Technology in Clinician Burnout.Applied clinical informatics · 2021Article
- Using Log Data to Measure Provider EHR Activity at a Cancer Center during Rapid Telemedicine Deployment.Applied clinical informatics · 2021Article
- Measurement of clinical documentation burden among physicians and nurses using electronic health records: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Clinician Burnout Associated With Sex, Clinician Type, Work Culture, and Use of Electronic Health Records.JAMA network open · 2021Article
- Perceived Electronic Health Record Usability as a Predictor of Task Load and Burnout Among US Physicians: Mediation Analysis.Journal of medical Internet research · 2020Article
- Exploring the administrative burden faced by hematologists: a comprehensive study in Italy.Global & regional health technology assessmentArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Background: Rates of burnout among physicians have been high in recent years. The Electronic Health Record (EHR) is implicated as a major cause of burnout. Objective: To determine the association between physician burnout and timing of EHR use in an academic internal medicine primary care practice. Methods: We conducted an observational cohort study using cross-sectional and retrospective data. Participants included primary care physicians in an academic outpatient general internal medicine practice. Burnout was measured with a single-item question via self-reported survey. EHR time was measured using retrospective automated data routinely captured within the institution's EHR. EHR time was separated into four categories: weekday workhours in-clinic time, weekday workhours out-of-clinic time, weekday afterhours time, and weekend/holiday afterhours time. Ordinal regression was used to determine the relationship between burnout and EHR time categories. Results: EHR use during in-clinic sessions was related to burnout in both bivariate (OR=1.04, 95% CI 1.01, 1.06; p=0.007) and adjusted (OR=1.07, 95% CI 1.03, 1.1; p=0.001) analyses. No significant relationships were found between burnout and afterhours EHR use. Conclusions: In this small single-institution study, physician burnout was associated with higher levels of in-clinic EHR use but not afterhours EHR use. Improved understanding of the variability of in-clinic EHR use, and the EHR tasks that are particularly burdensome to physicians, could help lead to interventions that better integrate EHR demands with clinical care and potentially reduce burnout. Further studies including more participants from diverse clinical settings are needed to further understand the relationship between burnout and afterhours EHR use.
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Registered trials
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.