Evidence map›Paper›PMID 34646939›Full record

ArticleAcademic pathology

Measuring Faculty Effort: A Quantitative Approach That Aligns Personal and Institutional Goals in Pathology at Yale.

Jon S Morrow, Peter Gershkovich, Joanna Gibson, Margaret Gilshannon, Diane Kowalski, Angelique W Levi, Don X Nguyen, David L Rimm, Mina L Xu, John Sinard

Abstract read
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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

10 authors.

Jon S MorrowDepartment of Pathology, Yale School of Medicine, New Haven, CT, USA.
Peter GershkovichDepartment of Pathology, Yale School of Medicine, New Haven, CT, USA.
Joanna GibsonDepartment of Pathology, Yale School of Medicine, New Haven, CT, USA.
Margaret GilshannonDepartment of Pathology, Yale School of Medicine, New Haven, CT, USA.
Diane KowalskiDepartment of Pathology, Yale School of Medicine, New Haven, CT, USA.
Angelique W LeviDepartment of Pathology, Yale School of Medicine, New Haven, CT, USA.
Don X NguyenDepartment of Pathology, Yale School of Medicine, New Haven, CT, USA.
David L RimmDepartment of Pathology, Yale School of Medicine, New Haven, CT, USA.
Mina L XuDepartment of Pathology, Yale School of Medicine, New Haven, CT, USA.
John SinardDepartment of Pathology, Yale School of Medicine, New Haven, CT, USA.ORCID https://orcid.org/0000-0001-8739-517X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

US medical schools increasingly seek ways to reduce costs and improve productivity. One aspect of this effort has been the development of performance-based incentives for individual faculty. A myriad of such plans exist. Typically, they incentivize clinical revenue generation but vary widely in how teaching, investigation, and administrative contributions are recognized. In Pathology at Yale, we have developed a transparent metrically driven approach that recognizes all missions and allows faculty significant control over their career path. Although some metrics derive from traditional measures such as workload relative value units and one's level of grant support, the key concept underpinning our approach is to define one's contributions not in terms of the revenue generated, but rather on the effort devoted to each of our missions, benchmarked against national or local standards. Full-time faculty are paid a competitive rank-based salary and are expected to contribute at least 100% effort in support of the school's missions: clinical, research, education, administration, and professional service. Metrics define the effort assigned to each activity. Faculty achieving greater than 100% effort receive bonus compensation in proportion to their excess effort. By codifying explicitly how such effort is recognized into a single metric (% effort), we achieve a process that better aligns the professional and personal goals of faculty with the aims of the school. To facilitate its implementation, we have developed a web-based software platform called SWAY (Standardized Workload Analysis at Yale) that enables faculty to monitor their progress and record their activities in real time.

Indexed as

academic incentiveseffort metricsfaculty compensationmedical schoolpercent effort accountingperformance-based compensationstandardized workload accounting YaleSWAY

Identifiers

PMID34646939
PMCPMC8504692

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.