Electronic health record effects on work-life balance and burnout within the I3 population collaborative
Open accessAbstract
Background: Physician burnout is a problem that often is attributed to the use of the electronic health record (EHR). Objective: To estimate the prevalence of burnout and work-life balance satisfaction in primary care residents and teaching physicians, and to examine the relationship between these outcomes, EHR use, and other practice and individual factors. Methods: Residents and faculty in 19 primary care programs were anonymously surveyed about burnout, work-life balance satisfaction, and EHR use. Additional items included practice size, specialty, EHR characteristics, and demographics. A logistic regression model identified independent factors associated with burnout and work-life balance satisfaction. Results: In total, 585 of 866 surveys (68%) were completed, and 216 (37%) respondents indicated 1 or more symptoms of burnout, with 162 (75%) attributing burnout to the EHR. A total of 310 of 585 (53%) reported dissatisfaction with work-life balance, and 497 (85%) indicated that use of the EHR affected their work-life balance. Respondents who spent more than 6 hours weekly after hours in EHR work were 2.9 times (95% confidence interval [CI] 1.9–4.4) more likely to report burnout and 3.9 times (95% CI 1.9–8.2) more likely to attribute burnout to the EHR. They were 0.33 times (95% CI 0.22–0.49) as likely to report work-life balance satisfaction, and 3.7 times (95% CI 2.1–6.7) more likely to attribute their work-life balance satisfaction to the EHR. Conclusions: More after-hours time spent on the EHR was associated with burnout and less work-life satisfaction in primary care residents and faculty.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Documentation and coding requirements in modern electronic medical records contribute to clinician burnout.
“and contributing to burnout (154)”
From Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions (2024) · cites this paper as [154]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
From Triple to Quadruple Aim: Care of the Patient Requires Care of the Provider
Bodenheimer, T., & Sinsky, C. (2014) · The Annals of Family Medicine · doi:10.1370/afm.1713 · Cited by 3,462 · see citing works
Shanafelt, T. D., Hasan, O., Dyrbye, L. N., Sinsky, C., Satele, D., Sloan, J., & West, C. P. (2015) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2015.08.023 · Cited by 2,885 · see citing works
Dyrbye, L. N., West, C. P., Satele, D., Boone, S., Tan, L., Sloan, J., & Shanafelt, T. D. (2014) · Academic Medicine · doi:10.1097/acm.0000000000000134 · Cited by 2,040 · see citing works
Physician wellness: a missing quality indicator
Wallace, J. E., Lemaire, J. B., & Ghali, W. A. (2009) · The Lancet · doi:10.1016/s0140-6736(09)61424-0 · Cited by 1,608 · see citing works
A narrative review on burnout experienced by medical students and residents
Dyrbye, L., & Shanafelt, T. (2016) · Medical Education · doi:10.1111/medu.12927 · Cited by 1,134 · see citing works
Electronic health records in ambulatory care—a national survey of physicians
DesRoches, C. M., Campbell, E. G., Rao, S. R., Donelan, K., Ferris, T. G., Jha, A., Kaushal, R., Levy, D. E., Rosenbaum, S., Shields, A. E., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmsa0802005 · Cited by 1,111 · see citing works
Thomas, N. K. (2004) · JAMA · doi:10.1001/jama.292.23.2880 · Cited by 750 · see citing works
Rohland, B. M., Kruse, G. R., & Rohrer, J. E. (2004) · Stress and Health · doi:10.1002/smi.1002 · Cited by 528 · see citing works
Predictors of Physician Career Satisfaction, Work–Life Balance, and Burnout
Keeton, K., Fenner, D. E., Johnson, T. R. B., & Hayward, R. A. (2007) · Obstetrics and Gynecology · doi:10.1097/01.aog.0000258299.45979.37 · Cited by 432 · see citing works
Electronic medical records and physician stress in primary care: results from the MEMO Study
Babbott, S., Manwell, L. B., Brown, R., Montague, E., Williams, E., Schwartz, M., Hess, E., & Linzer, M. (2014) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2013-001875 · Cited by 366 · see citing works
Hsiao, C., & Hing, E. (2014) · PubMed · Cited by 287 · see citing works
(2013) · PubMed · Cited by 141 · see citing works
Hsiao, C., & Hing, E. (2012) · PubMed · Cited by 137 · see citing works
Dastagir, M. T., Chin, H. L., McNamara, M., Poteraj, K., Battaglini, S., & Alstot, L. (2012) · PubMed Central · Cited by 52 · see citing works
Tackling the triple aim in primary care residencies: the I3 POP Collaborative.
Donahue, K. E., Reid, A., Lefebvre, A., et al. (2015) · PubMed · Cited by 20 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Tsai, C. H., Eghdam, A., Davoody, N., Wright, G., Flowerday, S., & Koch, S. (2020) · Life · doi:10.3390/life10120327 · Cited by 305 · see citing works
Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions
Lotter, W., Hassett, M. J., Schultz, N., Kehl, K. L., Van Allen, E. M., & Cerami, E. (2024) · Cancer Discovery · doi:10.1158/2159-8290.cd-23-1199 · Cited by 196 · see citing works
Metrics for assessing physician activity using electronic health record log data
Sinsky, C. A., Rule, A., Cohen, G., Arndt, B. G., Shanafelt, T. D., Sharp, C. D., Baxter, S. L., Tai-Seale, M., Yan, S., Chen, Y., et al. (2020) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocz223 · Cited by 162 · see citing works
Li, C., Parpia, C., Sriharan, A., & Keefe, D. T. (2022) · BMJ Open · doi:10.1136/bmjopen-2022-060865 · Cited by 106 · see citing works
Abraham, C. M., Zheng, K., & Poghosyan, L. (2020) · Medical Care Research and Review · doi:10.1177/1077558719888427 · Cited by 99 · see citing works
Albrecht, M., Shanks, D., Shah, T., Hudson, T., Thompson, J., Filardi, T., Wright, K., Ator, G. A., & Smith, T. R. (2024) · JAMIA Open · doi:10.1093/jamiaopen/ooaf013 · Cited by 103 · see citing works
Wu, Y., Wu, M., Wang, C., Lin, J., Liu, J., & Liu, S. (2024) · JMIR Medical Informatics · doi:10.2196/54811 · Cited by 87 · see citing works
McPeek-Hinz, E., Boazak, M., Sexton, J. B., Adair, K. C., West, V., Goldstein, B. A., Alphin, R. S., Idris, S., Hammond, W. E., Hwang, S. E., et al. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.5686 · Cited by 80 · see citing works
“09) and more clinical encounters (median [IQR] total encounters: men, 43 [9-104] vs women, 48 [12-112]; P = .”
Impact of a Digital Scribe System on Clinical Documentation Time and Quality: Usability Study
van Buchem, M. M., Kant, I. M. J., King, L., Kazmaier, J., Steyerberg, E. W., & Bauer, M. P. (2024) · JMIR AI · doi:10.2196/60020 · Cited by 70 · see citing works
Documenting or operating: where is time spent in general surgery residency?
Cox, M. L., Farjat, A. E., Risoli, T., Peskoe, S., Goldstein, B. A., Turner, D. A., & Migaly, J. (2018) · Journal of Surgical Education · doi:10.1016/j.jsurg.2018.10.010 · Cited by 68 · see citing works
DiAngi, Y. T., Stevens, L. A., Halpern – Felsher, B., Pageler, N. M., & Lee, T. C. (2019) · JAMIA Open · doi:10.1093/jamiaopen/ooz003 · Cited by 52 · see citing works
Prompt engineering on leveraging large language models in generating response to InBasket messages
Yan, S., Knapp, W., Leong, A., Kadkhodazadeh, S., Das, S., Jones, V. G., Clark, R., Grattendick, D., Chen, K., Hladik, L., et al. (2024) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocae172 · Cited by 47 · see citing works
Chen, B., Alrifai, W., Gao, C., Jones, B., Novak, L., Lorenzi, N., France, D., Malin, B., & Chen, Y. (2021) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa338 · Cited by 39 · see citing works
Changes in electronic health record use time and documentation over the course of a decade
Goldstein, I. H., Hwang, T., Gowrisankaran, S., Bales, R., Chiang, M. F., & Hribar, M. R. (2019) · Ophthalmology · doi:10.1016/j.ophtha.2019.01.011 · Cited by 23 · see citing works
Physician electronic health record usage as affected by the COVID-19 pandemic
Ruan, E., Beiser, M., Lu, V., Paul, S., Ni, J., Nazar, N., Liu, J., Kim, M., Epstein, E., Keller, M., et al. (2022) · Applied Clinical Informatics · doi:10.1055/a-1877-2745 · Cited by 15 · see citing works
Quantified electronic health record (EHR) use by academic surgeons
Cox, M. L., Risoli, T., Peskoe, S. B., Turner, D. A., & Migaly, J. (2021) · Surgery · doi:10.1016/j.surg.2020.12.009 · Cited by 18 · see citing works
Albrecht, M., Shanks, D., Shah, T., Hudson, T., Thompson, J., Filardi, T., Wright, K., Ator, G., & Smith, T. R. (2024) · doi:10.1101/2024.08.12.24311883 · Cited by 11 · see citing works
Electronic Health Record Usage Patterns Across Surgical Subspecialties
Tang, K., Labagnara, K., Babar, M., Loloi, J., Watts, K. L., Jariwala, S., & Abraham, N. (2024) · Applied Clinical Informatics · doi:10.1055/a-2194-1061 · Cited by 7 · see citing works
Perceived value of the electronic health record and its association with physician burnout
Livaudais, M., Deng, D., Frederick, T., Grey-Theriot, F., & Kroth, P. J. (2022) · Applied Clinical Informatics · doi:10.1055/s-0042-1755372 · Cited by 6 · see citing works
- Authors
- Robertson, S. L., Robinson, M. D., & Reid, A.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- Corresponding author
- Reid, Alfred
- Venue
- Journal of Graduate Medical Education
- Published
- 2017-08-01
- Volume
- 9
- Issue
- 4
- Pages
- 479-484
- ISSN
- 1949-8349 (ISSN-L)
- 1949-8357
- PMC
- PMC5559244
- OpenAlex
- W2624756857
- Cited by
- 170
- References
- 15
- Citations by year
- 2026: 14 · 2025: 20 · 2024: 29 · 2023: 24 · 2022: 14 · 2021: 28 · 2020: 21 · 2019: 15 · 2018: 5
- FWCI
- 15.39
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Graduate Medical Education (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › General Health Professions › Healthcare professionals’ stress and burnout
- Health Sciences › Medicine › Emergency Medicine › Hospital Admissions and Outcomes
- Keywords
- electronic health records, physician burnout, work-life balance, primary care residents, teaching physicians
- MeSH terms
- Work-Life Balance, Burnout, Professional, Humans, Internship and Residency, Job Satisfaction, Primary Health Care, Electronic Health Records
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
