Evidence map›Paper›PMID 33355360›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

Conceptual considerations for using EHR-based activity logs to measure clinician burnout and its effects.

Thomas Kannampallil, Joanna Abraham, Sunny S Lou, Philip R O Payne

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.4field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Using electronic health record audit log data for research: insights from early efforts.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Burnout: A Review of Theory and Measurement.International journal of environmental research and public health · 2022
    Review
  14. Predicting next-day discharge via electronic health record access logs.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  15. Article
  16. Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Thomas KannampallilInstitute for Informatics, Washington University School of Medicine, St Louis, Missouri, USA.
Joanna AbrahamInstitute for Informatics, Washington University School of Medicine, St Louis, Missouri, USA.
Sunny S LouDepartment of Anesthesiology, Washington University School of Medicine, St Louis, Missouri, USA.
Philip R O PayneInstitute for Informatics, Washington University School of Medicine, St Louis, Missouri, USA.
Washington University in St. Louis · US

Funding

TRAINING PROGRAM IN ANESTHESIOLOGY RESEARCHT32GM108539 · NIGMS · WASHINGTON UNIVERSITY · PI Aaron J Norris · 2014 to 2026
$4.9M
NIGMS NIH HHS T32 GM108539
6 · The paper itself

Abstract

Electronic health records (EHR) use is often considered a significant contributor to clinician burnout. Informatics researchers often measure clinical workload using EHR-derived audit logs and use it for quantifying the contribution of EHR use to clinician burnout. However, translating clinician workload measured using EHR-based audit logs into a meaningful burnout metric requires an alignment with the conceptual and theoretical principles of burnout. In this perspective, we describe a systems-oriented conceptual framework to achieve such an alignment and describe the pragmatic realization of this conceptual framework using 3 key dimensions: standardizing the measurement of EHR-based clinical work activities, implementing complementary measurements, and using appropriate instruments to assess burnout and its downstream outcomes. We discuss how careful considerations of such dimensions can help in augmenting EHR-based audit logs to measure factors that contribute to burnout and for meaningfully assessing downstream patient safety outcomes.

Indexed as

Burnout, ProfessionalElectronic Health RecordsTask Performance and AnalysisHumans

Identifiers

PMID33355360
PMCPMC8068434
OpenAlexW3113876220

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.