Evidence map›Paper›PMID 37217321›Full record

ArticleAnnals of family medicine

Refining Vendor-Defined Measures to Accurately Quantify EHR Workload Outside Time Scheduled With Patients.

Brian G Arndt, Mark A Micek, Adam Rule, Christina M Shafer, Jeffrey J Baltus, Christine A Sinsky

Abstract read
In one paragraph

Article in Annals of family medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Guidance for reporting analyses of metadata on electronic health record use.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  9. Article
  10. Who's Not Talking? Nonresponse Bias in Healthcare Employee Well-Being Surveys.Journal of healthcare management / American College of Healthcare Executives
    Article
  11. 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

6 authors.

Brian G ArndtDepartment of Family Medicine and Community Health, University of Wisconsin-Madison, Madison, Wisconsin brian.arndt@fammed.wisc.edu.
Mark A MicekDepartment of Medicine, University of Wisconsin-Madison, Madison, Wisconsin.
Adam RuleInformation School, University of Wisconsin-Madison, Madison, Wisconsin.
Christina M ShaferDepartment of Medicine, University of Wisconsin-Madison, Madison, Wisconsin.
Jeffrey J BaltusDepartment of Family Medicine and Community Health, University of Wisconsin-Madison, Madison, Wisconsin.
Christine A SinskyProfessional Satisfaction and Practice Sustainability, American Medical Association, Chicago, Illinois.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurately quantifying clinician time spent on electronic health record (EHR) activities outside the time scheduled with patients is critical for understanding occupational stress associated with ambulatory clinic environments. We make 3 recommendations regarding EHR workload measures that are intended to capture time working in the EHR outside time scheduled with patients, formally defined as work outside of work (WOW): (1) separate all time working in the EHR outside of time scheduled with patients from time working in the EHR during time scheduled with patients, (2) do not exclude any time before or after scheduled time with patients, and (3) encourage the EHR vendor and research communities to develop and standardize validated, vendor-agnostic methods for measuring active EHR use. Attributing all EHR work outside time scheduled with patients to WOW, regardless of when it occurs, will produce an objective and standardized measure better suited for use in efforts to reduce burnout, set policy, and facilitate research.

Indexed as

Burnout, ProfessionalOccupational StressBurnout, PsychologicalElectronic Health RecordsHumansWorkloadafter hoursambulatory careburnoutefficiency, organizationalelectronic health recordshealth information technologyjob stressmetricsorganizational changeprofessional practiceschedulestime and motion studiesworkloadwork outside of work

Identifiers

PMID37217321
PMCPMC10202520

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.