Evidence map›Paper›PMID 38333109›Full record

ArticleJAMIA open2024

Cumulated time to chart closure: a novel electronic health record-derived metric associated with clinician burnout.

Madhura Shah, Sofia De Arrigunaga, Leah S Forman, Matthew West, Susannah G Rowe, Rebecca G Mishuris

Abstract read
In one paragraph

Article in JAMIA open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  12. Consistency is key: documentation distribution and efficiency in primary care.Journal of the American Medical Informatics Association : JAMIA · 2024
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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.

Madhura ShahBoston University Aram V. Chobanian & Edward Avedisian School of Medicine, Boston, MA 02118, United States.
Sofia De ArrigunagaDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Medical School, Miami, FL 33136, United States.
Leah S FormanBiostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA 02118, United States.
Matthew WestDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States.
Susannah G RoweOffice of Equity, Vitality and Inclusion, Boston University Medical Group, Boston, MA 02118, United States.
Rebecca G MishurisDigital, Mass General Brigham, Somerville, MA 02145, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: We sought to determine whether average cumulated time to chart closure (CTCC), a novel construct to measure clinician workload burden, and electronic health record (EHR) measures were associated with a validated measure of burnout. Materials and methods: Physicians at a large academic institution participated in a well-being survey that was linked to their EHR use data. CTCC was defined as the average time from the start of patient encounters to chart closure over a set of encounters. Established EHR use measures including daily total time in the EHR (EHR-Time8), time in the EHR outside scheduled hours, work outside of work (WOW Results: We included data from 305 attendings, encompassing 242 432 ambulatory encounters (2021). Among them, 42% (128 physicians) experienced burnout. The median CTCC for all clinicians was 32.5 h. Unadjusted analyses revealed significant associations between CTCC, WOW Discussion: These results suggest that CTCC is predictive of burnout and that purely measuring duration of interaction with the EHR itself is not sufficient to capture burnout. Conclusion: Workload burden as manifested by average CTCC has the potential to be a practical, quantifiable measure that will allow for identification of clinicians at risk of burnout and to assess the success of interventions designed to address burnout.

Indexed as

burnoutdocumentation burdenelectronic health recordsphysician wellbeing

Identifiers

PMID38333109
PMCPMC10852987

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LicenceCC BY
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Registered trials

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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.