Evidence map›Paper›PMID 35075533›Full record

ArticleJournal of general internal medicine2022

Chief Residency Selection in Internal Medicine: Who Is Left Out?

Ryan Johnson, Oyinkansola Osobamiro, Anna Morenz, Nancy Mugisha, Linda Liu, Tyler Albert

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
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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.

Ryan JohnsonDepartment of Medicine, University of Washington School of Medicine, Seattle, WA, USA. rmj16@uw.edu.ORCID 0000-0003-0339-6509
Oyinkansola OsobamiroDepartment of Medicine, University of Washington School of Medicine, Seattle, WA, USA.
Anna MorenzDepartment of Medicine, University of Washington School of Medicine, Seattle, WA, USA.
Nancy MugishaDepartment of Medicine, University of Washington School of Medicine, Seattle, WA, USA.
Linda LiuDepartment of Medicine, University of Washington School of Medicine, Seattle, WA, USA.
Tyler AlbertDepartment of Medicine, University of Washington School of Medicine, Seattle, WA, USA.

Funding

Renewal: Gastrointestinal Surgery Outcomes Research FellowshipT32DK070555 · NIDDK · UNIVERSITY OF WASHINGTON · PI FLUM, DAVID R · 2010 to 2024
$3.6M
NIDDK NIH HHS T32 DK070555
6 · The paper itself

Abstract

Little progress has been made in improving racial, gender, or intersectional diversity within academic internal medicine (IM). Chief Residency fulfills a unique opportunity to target diversity efforts; Chief Residents (CR) are integral in creating an inclusive environment and support system for IM trainees, and the position serves as a steppingstone for future leadership positions within academia. However, the CR selection process often lacks transparency and includes steps that are fraught with bias, thereby disadvantaging underrepresented minority groups from gaining important experience needed to climb the academic ladder. We describe a more standardized selection process that will improve recruitment and selection of more diverse CRs and ultimately improve the recruitment, retention, and promotion of more diverse faculty within academic internal medicine. Key recommendations include an open call for applications, the use of standardized and structured interviews, and the formation of a diverse selection committee to conduct a transparent selection process based on explicitly defined criteria.

Indexed as

Internship and ResidencyFaculty, MedicalHumansInternal MedicineLeadershipMinority GroupsRacial Groups

Identifiers

PMID35075533
PMCPMC8971303

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.