Evidence map›Paper›PMID 42602576›Full record

ArticleAcademic pathology

The new normal: Simultaneous temporal increases in workload and physician well-being experienced by Stanford pathology in a transformed work environment.

Brenna Cholerton, Kathleen Cederlof, Maryam S Makowski, Kathleen S Montine, Ann Folkins, Neeraja Kambham, Teri A Longacre, Donald Regula, Michael Copenhaver, Alex Dussaq and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Academic pathology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Brenna CholertonDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Kathleen CederlofStanford Health Care, Stanford, CA, USA.
Maryam S MakowskiDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Kathleen S MontineDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Ann FolkinsDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Neeraja KambhamDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Teri A LongacreDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Donald RegulaDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Michael CopenhaverStanford Health Care, Stanford, CA, USA.
Alex DussaqDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Jonathan ShoemakerStanford Health Care, Stanford, CA, USA.
Michael A PfefferStanford Health Care, Stanford, CA, USA.
Christina S KongDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Thomas J MontineDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Tait D ShanafeltDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Jennifer FralickStanford Health Care, Stanford, CA, USA.
Alison KerrStanford Health Care, Stanford, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare systems face immense economic pressures, workforce challenges, and increased demand for services, culminating in high occupational burnout among physicians. Here, we evaluate how one department tried to navigate these evolving challenges while simultaneously supporting the occupational well-being and work environment characteristics that influence well-being among pathologists. Existing electronic health records data from the Stanford Medicine Department of Pathology and de-identified data collected from the Stanford Doctor Survey™ were used to evaluate caseload sign-out patterns and trends in occupational well-being. Changes over time were modeled using linear regression/linear mixed models. Department caseload and cases signed out after hours increased between 2020 and 2024, and significantly higher on average following the adoption of a new laboratory information system (LIS) (total:

Indexed as

Anatomic pathologyBurnoutCaseloadLeadershipProfessional fulfillmentWell-being

Identifiers

PMID42602576
PMCPMC13475219

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.