Evidence map›Paper›PMID 42829915›Full record

ArticleJournal of evaluation in clinical practice2026

Physician Factors Associated With Burnout During System-Wide Electronic Health Record Implementation: A Prospective Repeated Cross-Sectional Study of Acute and Post-Acute Care Physicians.

Yerin R Lee, Louise Harris, Peter Rossos, Lucas B Chartier, Maxim Ben-Yakov

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Article in Journal of evaluation in clinical practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yerin R LeeTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0001-5038-0548
Louise HarrisTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Peter RossosTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Lucas B ChartierUniversity Health Network, Toronto, Ontario, Canada.
Maxim Ben-YakovTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0003-1057-3630

Funding

University Health Network
6 · The paper itself

Abstract

rationalePhysician burnout is a major concern, particularly during periods of large-scale institutional change such as electronic health record (EHR) implementation. AIMS AND

objectivesTo examine associations of burnout with physician age, clinical experience, and after-hours documentation burden ('pyjama time') among acute and post-acute care physicians undergoing EHR implementation, and secondarily to evaluate changes in burnout across three phases of EHR implementation (Pre-Implementation, Post-Implementation, Post-Optimisation).

methodsWe conducted anonymous electronic surveys of acute and post-acute care attending physicians at a tertiary academic health system in Toronto, Canada across three phases of EHR implementation. Burnout was assessed using the Maslach Burnout Inventory Human Services Survey-Medical Personnel (MBI-HSS-MP). Univariable and multivariable logistic regression analyses identified factors associated with high emotional exhaustion, high depersonalisation, and low personal accomplishment.

resultsWe collected 306 responses in Pre-Implementation, 248 in Post-Implementation, and 214 in Post-Optimisation. Overall burnout levels remained stable across implementation phases (p ≥ 0.05). Physician age ≥ 65 years was independently protective across all burnout domains (adjusted odds ratio [aOR] 0.33-0.49; p < 0.01). Physicians with > 20 years in practice were less likely to report high depersonalisation (OR 0.39; p < 0.01) or low personal accomplishment (OR 0.54; p = 0.01). Increasing pyjama time was associated with higher odds of emotional exhaustion on univariable analysis (OR 1.06 per hour; p < 0.03) and remained independently associated with depersonalisation after adjustment (aOR 1.07; p = 0.02). Documentation burden peaked in the Post-Implementation phase (mean pyjama time 381.6 min/day), with higher depersonalisation observed on univariable analysis (OR 1.51; p < 0.02), although this association attenuated after adjustment.

conclusionIn this three-phase study, after-hours documentation burden was strongly associated with depersonalisation, while physician age ≥ 65 years consistently protected against burnout. Although overall burnout levels remained stable across implementation phases, the immediate Post-Implementation period was characterised by substantial documentation burden and transient increases in depersonalisation, highlighting the importance of robust training, workflow optimisation, and targeted support during early EHR adoption.

Indexed as

Burnout, ProfessionalElectronic Health RecordsPhysiciansAdultAge FactorsCross-Sectional StudiesEmotional ExhaustionFemaleHumansMaleMiddle AgedOntarioProspective StudiesSurveys and Questionnairesacute careburnoutelectronic health recordhealth system

Identifiers

PMID42829915
PMCPMC13634414

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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.