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Temporal Associations Between EHR-Derived Workload, Burnout, and Errors: a Prospective Cohort Study.
Lou, Sunny S; Lew, Daphne; Harford, Derek R; Lu, Chenyang; Evanoff, Bradley A; Duncan, Jennifer G; Kannampallil, Thomas.
Afiliação
  • Lou SS; Department of Anesthesiology, Washington University School of Medicine, St Louis, MO, USA.
  • Lew D; Division of Biostatistics, Washington University School of Medicine, St Louis, MO, USA.
  • Harford DR; Department of Anesthesiology, Washington University School of Medicine, St Louis, MO, USA.
  • Lu C; Department of Computer Science, Washington University in St Louis, St Louis, MO, USA.
  • Evanoff BA; Department of Medicine, Washington University School of Medicine, St Louis, MO, USA.
  • Duncan JG; Department of Pediatrics, Washington University School of Medicine, St Louis, MO, USA.
  • Kannampallil T; Department of Anesthesiology, Washington University School of Medicine, St Louis, MO, USA. thomas.k@wustl.edu.
J Gen Intern Med ; 37(9): 2165-2172, 2022 07.
Article em En | MEDLINE | ID: mdl-35710654
BACKGROUND: The temporal progression and workload-related causal contributors to physician burnout are not well-understood. OBJECTIVE: To characterize burnout's time course and evaluate the effect of time-varying workload on burnout and medical errors. DESIGN: Six-month longitudinal cohort study with measurements of burnout, workload, and wrong-patient orders every 4 weeks. PARTICIPANTS: Seventy-five intern physicians in internal medicine, pediatrics, and anesthesiology at a large academic medical center. MAIN MEASURES: Burnout was measured using the Professional Fulfillment Index survey. Workload was collected from electronic health record (EHR) audit logs and summarized as follows: total time spent on the EHR, after-hours EHR time, patient load, inbox time, chart review time, note-writing time, and number of orders. Wrong-patient orders were assessed using retract-and-reorder events. KEY RESULTS: Seventy-five of 104 interns enrolled (72.1%) in the study. A total of 337 surveys and 8,863,318 EHR-based actions were analyzed. Median burnout score across the cohort across all time points was 1.2 (IQR 0.7-1.7). Individual-level burnout was variable (median monthly change 0.3, IQR 0.1-0.6). In multivariable analysis, increased total EHR time (ß=0.121 for an increase from 54.5 h per month (25th percentile) to 123.0 h per month (75th percentile), 95%CI=0.016-0.226), increased patient load (ß=0.130 for an increase from 4.9 (25th percentile) to 7.1 (75th percentile) patients per day, 95%CI=0.053-0.207), and increased chart review time (ß=0.096 for an increase from 0.39 (25th percentile) to 0.59 (75th percentile) hours per patient per day, 95%CI=0.015-0.177) were associated with an increased burnout score. After adjusting for the total number of ordering sessions, burnout was not statistically associated with an increased rate of wrong-patient orders (rate ratio=1.20, 95%CI=0.76-1.89). CONCLUSIONS: Burnout and recovery were associated with recent clinical workload for a cohort of physician trainees, highlighting the elastic nature of burnout. Wellness interventions should focus on strategies to mitigate sustained elevations of work responsibilities.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Esgotamento Profissional / Carga de Trabalho Tipo de estudo: Etiology_studies / Observational_studies / Risk_factors_studies Limite: Child / Humans Idioma: En Revista: J Gen Intern Med Assunto da revista: MEDICINA INTERNA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Esgotamento Profissional / Carga de Trabalho Tipo de estudo: Etiology_studies / Observational_studies / Risk_factors_studies Limite: Child / Humans Idioma: En Revista: J Gen Intern Med Assunto da revista: MEDICINA INTERNA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos