Evidence map›Paper›PMID 31871571›Full record

ArticleJournal of graduate medical education2019

Expanding Primary Care Experiences With Novel Rotations for Residents at a VA Medical Center.

Stefanie A Deeds, Kelli A Corning, Joyce E Wipf, Traci A Takahashi

Open access · bronzeAbstract read
In one paragraph

Article in Journal of graduate medical education, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 76% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Stefanie A Deeds
Kelli A Corning
Joyce E Wipf
Traci A Takahashi
Corning (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe number of graduating primary care physicians will not meet the demands of the growing and aging US population. In 2011, the Veterans Affairs (VA) Office of Academic Affiliations established 5 Centers of Excellence in Primary Care Education (CoEPCE) to transform primary care training.

objectiveWe created an innovative training model with immersive primary care experiences to foster careers in primary care for residents.

methodsAs a CoEPCE, the Seattle VA partnered with the University of Washington internal medicine residency program to form a Center of Excellence (CoE) pathway with increased outpatient training time. The CoEPCE created a longitudinal curriculum of continuity clinic immersion and new thematically based rotations (eg, Homeless Health) for CoE residents. These rotations expanded primary care experiences and allowed for in-depth opportunities to care for the unique needs of veterans. Resident feedback was solicited through program evaluations, and career choices were tracked.

resultsEighty-five of 102 (83%) possible rotation evaluations from 2014 to 2017 were reviewed. Residents reported that CoEPCE rotations had a positive effect on their care of patients and career choice, and provided opportunities to interface with faculty role models. Seventy-five percent of Seattle VA CoE residents selected primary care careers compared to 36% of historical controls.

conclusionsThe CoEPCE rotation curriculum offers in-depth primary care training and may contribute to trainees maintaining interest in primary care careers.

Indexed as

Internship and ResidencyPrimary Health CareCareer ChoiceEducation, Medical, GraduateHumansInternal MedicineUnited StatesUnited States Department of Veterans AffairsWashington

Identifiers

PMID31871571
PMCPMC6919180
OpenAlexW2982686386

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.