Electronic health records and burnout: Time spent on the electronic health record after hours and message volume associated with exhaustion but not with cynicism among primary care clinicians

作者：Julia Adler‐Milstein, Wendi Zhao, Rachel Willard‐Grace, Margae J. Knox, Kevin Grumbach · 发表于：Journal of the American Medical Informatics Association · 年份：2019 · DOI：10.1093/jamia/ocz220 · 被引用次数：368 · 研究领域：Electronic Health Records Systems、Healthcare professionals’ stress and burnout、Hospital Admissions and Outcomes

OBJECTIVES: The study sought to determine whether objective measures of electronic health record (EHR) use-related to time, volume of work, and proficiency-are associated with either or both components of clinician burnout: exhaustion and cynicism. MATERIALS AND METHODS: We combined Maslach Burnout Inventory survey measures (94% response rate; 122 of 130 clinicians) with objective, vendor-defined EHR use measures from log files (time after hours on clinic days; time on nonclinic days; message volume; composite measures of efficiency and proficiency). Data were collected in early 2018 from all primary care clinics of a large, urban, academic medical center. Multivariate regression models measured the association between each burnout component and each EHR use measure. RESULTS: One-third (34%) of clinicians had high cynicism and 51% had high emotional exhaustion. Clinicians in the top 2 quartiles of EHR time after hours on scheduled clinic days (those above the sample median of 68 minutes per clinical full-time equivalent per week) had 4.78 (95% confidence interval [CI], 1.1-20.1; P = .04) and 12.52 (95% CI, 2.6-61; P = .002) greater odds of high exhaustion. Clinicians in the top quartile of message volume (>307 messages per clinical full-time equivalent per week) had 6.17 greater odds of high exhaustion (95% CI, 1.1-41; P = .04). No measures were associated with high cynicism. DISCUSSION: EHRs have been cited as a contributor to clinician burnout, and self-reported data sugges...