Evidence map›Paper›PMID 31807229›Full record

ArticleCanadian medical education journal2019

Status of global health fellowship training in the United States and Canada.

Ann Evensen, Sean Duffy, Russell Dawe, Andrea Pike, Brett D Nelson

Abstract read
In one paragraph

Article in Canadian medical education journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

5 authors.

Ann EvensenDepartment of Family Medicine and Community Health, University of Wisconsin School of Medicine and Public Health, Wisconsin, USA.
Sean DuffyDepartment of Family Medicine and Community Health, University of Wisconsin School of Medicine and Public Health, Wisconsin, USA.
Russell DaweDiscipline of Family Medicine, Faculty of Medicine, Memorial University of Newfoundland, Newfoundland, Canada.
Andrea PikePrimary Healthcare Research Unit, Memorial University of Newfoundland, Newfoundland, Canada.
Brett D NelsonDivisions of Global Health and Neonatology, Department of Pediatrics, Massachusetts General Hospital, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreasing numbers of residency graduates desire global health (GH) fellowship training. However, the full extent of training options is not clear.

objectiveTo identify clinical GH fellowships in all specialties in the U.S. and Canada and to describe their demographics, innovative features, and challenges.

methodsThe authors surveyed program directors or designees from GH fellowships with a web-based tool in 2017.

resultsThe authors identified 85 programs. Fifty-four programs (63.5%) responded confirming 50 fellowships. One- third of fellowships accepted graduates from more than one specialty, and the most common single-specialty programs were Emergency Medicine and Family Medicine. Fellowships most commonly were 24 months in duration with a median size of one fellow per year. Funding and lack of qualified applicants were significant challenges. Most programs were funded through fellow billing for patient care or other self-support.

conclusionThe number of U.S. and Canadian GH fellowship programs has nearly doubled since 2010. Challenges include lack of funding and qualified applicants. Further work is needed to understand how best to identify and disseminate fellowship best practices to meet the diverse needs of international partners, fellows, and the patients they serve and to determine if consensus regarding training requirements would be beneficial.

Identifiers

PMID31807229
PMCPMC6892312

What OpenQuestion holds

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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.