Literature DB >> 34261173

Novel Nonproprietary Measures of Ambulatory Electronic Health Record Use Associated with Physician Work Exhaustion.

Amrita Sinha1, Tait D Shanafelt2,3, Mickey Trockel4, Hanhan Wang5, Christopher Sharp6.   

Abstract

BACKGROUND: Accumulating evidence indicates an association between physician electronic health record (EHR) use after work hours and occupational distress including burnout. These studies are based on either physician perception of time spent in EHR through surveys which may be prone to bias or by utilizing vendor-defined EHR use measures which often rely on proprietary algorithms that may not take into account variation in physician's schedules which may underestimate time spent on the EHR outside of scheduled clinic time. The Stanford team developed and refined a nonproprietary EHR use algorithm to track the number of hours a physician spends logged into the EHR and calculates the Clinician Logged-in Outside Clinic (CLOC) time, the number of hours spent by a physician on the EHR outside of allocated time for patient care.
OBJECTIVE: The objective of our study was to measure the association between CLOC metrics and validated measures of physician burnout and professional fulfillment.
METHODS: Physicians from adult outpatient Internal Medicine, Neurology, Dermatology, Hematology, Oncology, Rheumatology, and Endocrinology departments who logged more than 8 hours of scheduled clinic time per week and answered the annual wellness survey administered in Spring 2019 were included in the analysis.
RESULTS: We observed a statistically significant positive correlation between CLOC ratio (defined as the ratio of CLOC time to allocated time for patient care) and work exhaustion (Pearson's r = 0.14; p = 0.04), but not interpersonal disengagement, burnout, or professional fulfillment.
CONCLUSION: The CLOC metrics are potential objective EHR activity-based markers associated with physician work exhaustion. Our results suggest that the impact of time spent on EHR, while associated with exhaustion, does not appear to be a dominant factor driving the high rates of occupational burnout in physicians. Thieme. All rights reserved.

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Year:  2021        PMID: 34261173      PMCID: PMC8279819          DOI: 10.1055/s-0041-1731678

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.762


  40 in total

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2.  Physician well-being: A powerful way to improve the patient experience.

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Journal:  Physician Exec       Date:  2013 Jul-Aug

3.  Are specific elements of electronic health record use associated with clinician burnout more than others?

Authors:  Ross W Hilliard; Jacqueline Haskell; Rebekah L Gardner
Journal:  J Am Med Inform Assoc       Date:  2020-07-01       Impact factor: 4.497

4.  Implementing Measurement Science for Electronic Health Record Use.

Authors:  Edward R Melnick; Christine A Sinsky; Harlan M Krumholz
Journal:  JAMA       Date:  2021-06-01       Impact factor: 56.272

5.  Physician Burnout in the Electronic Health Record Era: Are We Ignoring the Real Cause?

Authors:  N Lance Downing; David W Bates; Christopher A Longhurst
Journal:  Ann Intern Med       Date:  2018-05-08       Impact factor: 25.391

Review 6.  Physician burnout: contributors, consequences and solutions.

Authors:  C P West; L N Dyrbye; T D Shanafelt
Journal:  J Intern Med       Date:  2018-03-24       Impact factor: 8.989

7.  Electronic Health Record Alert-Related Workload as a Predictor of Burnout in Primary Care Providers.

Authors:  Megan E Gregory; Elise Russo; Hardeep Singh
Journal:  Appl Clin Inform       Date:  2017-07-05       Impact factor: 2.342

8.  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.

Authors:  Julia Adler-Milstein; Wendi Zhao; Rachel Willard-Grace; Margae Knox; Kevin Grumbach
Journal:  J Am Med Inform Assoc       Date:  2020-04-01       Impact factor: 4.497

9.  Metrics for assessing physician activity using electronic health record log data.

Authors:  Christine A Sinsky; Adam Rule; Genna Cohen; Brian G Arndt; Tait D Shanafelt; Christopher D Sharp; Sally L Baxter; Ming Tai-Seale; Sherry Yan; You Chen; Julia Adler-Milstein; Michelle Hribar
Journal:  J Am Med Inform Assoc       Date:  2020-04-01       Impact factor: 4.497

10.  Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 Specialties.

Authors:  Christine Sinsky; Lacey Colligan; Ling Li; Mirela Prgomet; Sam Reynolds; Lindsey Goeders; Johanna Westbrook; Michael Tutty; George Blike
Journal:  Ann Intern Med       Date:  2016-09-06       Impact factor: 25.391

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  1 in total

1.  Perceived Value of the Electronic Health Record and Its Association with Physician Burnout.

Authors:  Maria Livaudais; Derek Deng; Tracy Frederick; Francine Grey-Theriot; Philip J Kroth
Journal:  Appl Clin Inform       Date:  2022-08-18       Impact factor: 2.762

  1 in total

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