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

Adler-Milstein, Julia; Zhao, Wendi; Willard-Grace, Rachel; Knox, Margae; Grumbach, Kevin

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

Adler-Milstein, Julia; Zhao, Wendi; Willard-Grace, Rachel; Knox, Margae; Grumbach, Kevin

Abstract

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 suggest a relationship between EHR use and burnout. As organizations increasingly rely on objective, vendor-defined EHR measures to design and evaluate interventions to reduce burnout, our findings point to the measures that should be targeted.

CONCLUSIONS: Two specific EHR use measures were associated with exhaustion.

This resource is found in our Actionable Strategies for Health Organizations: Improving Workload & Workflows (Reducing Administrative Burdens).

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Journal of the American Medical Informatics Association
2020
Profession(s)
Advanced Practice Nurses
Physicians
Topic(s)
Burnout
Resource Types
Peer-Reviewed Research
Study Type(s)
Nonexperimental / Observational Study
Action Strategy Area(s)
Workload & Workflows
Setting(s)
Primary Care
Academic Role(s)
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No items found.