Evidence map›Paper›PMID 35860037›Full record

ArticleAnnals of global health2022

Virtual Adaptation of an International Exchange Program in Medical Education.

Celia Fung, Nicholas Maxwell, Stephen Powell, Michelle Benassai, Natalia Chunga, Jennifer Corcoran, William Barbosa, Marisabel Lopez, Betsy Hanampa, Melissa Llaiqui-Condori and 10 more

Abstract read
In one paragraph

Article in Annals of global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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

20 authors.

Celia FungDepartment of Neurology, University of Rochester Medical Center, Rochester, New York, USA.
Nicholas MaxwellDepartment of Neurology, University of Rochester Medical Center, Rochester, New York, USA.
Stephen PowellDepartment of Neurology, University of Rochester Medical Center, Rochester, New York, USA.ORCID 0000-0002-2428-5835
Michelle BenassaiDepartment of Neurology, University of Rochester Medical Center, Rochester, New York, USA.ORCID 0000-0002-2776-8429
Natalia ChungaDepartment of Neurology, University of Rochester Medical Center, Rochester, New York, USA.ORCID 0000-0001-8450-7121
Jennifer CorcoranDepartment of Neurology, University of Rochester Medical Center, Rochester, New York, USA.
William BarbosaDepartment of Neurology, University of Rochester Medical Center, Rochester, New York, USA.
Marisabel LopezDepartamento de Neurociencias, Facultad de Medicina, Universidad Nacional de San Agustín de Arequipa, Arequipa, PE.
Betsy HanampaDepartamento de Neurociencias, Facultad de Medicina, Universidad Nacional de San Agustín de Arequipa, Arequipa, PE.
Melissa Llaiqui-CondoriLa Escuelita AQMED, Arequipa, PE.ORCID 0000-0003-3899-6846
Victor Delgado-LazoLa Escuelita AQMED, Arequipa, PE.
Karina MendozaLa Escuelita AQMED, Arequipa, PE.
Yanet AsteteDepartamento de Neurociencias, Facultad de Medicina, Universidad Nacional de San Agustín de Arequipa, Arequipa, PE.
Martin FlorDepartamento de Neurociencias, Facultad de Medicina, Universidad Nacional de San Agustín de Arequipa, Arequipa, PE.
Sheyla PalaciosServicio de Neurología, Hospital Regional Honorio Delgado Espinoza, Arequipa, PE.
Blanca ValdovinosDepartment of Neurology, University of Rochester Medical Center, Rochester, New York, USA.ORCID 0000-0003-3740-2137
Jorge RiscoDepartment of Neurology, University of Rochester Medical Center, Rochester, New York, USA.ORCID 0000-0001-9325-0890
Isabel CamargoDepartamento de Neurociencias, Facultad de Medicina, Universidad Nacional de San Agustín de Arequipa, Arequipa, PE.
Ralph JozefowiczDepartment of Neurology, University of Rochester Medical Center, Rochester, New York, USA.
Karlo J LizárragaDepartment of Neurology, University of Rochester Medical Center, Rochester, New York, USA.ORCID 0000-0001-9766-6252

Funding

Neurotherapeutics Symposium 2022: Integrating Equity within Translational ResearchR13NS127635 · NINDS · UNIVERSITY OF ROCHESTER · PI LIZARRAGA, KARLO J. · 2022 to 2022
$26k
NINDS NIH HHS R13 NS127635
6 · The paper itself

Abstract

Medical education has drastically transformed during the COVID-19 pandemic. Measures such as adopting telemedicine visits, minimizing the number of trainees on service, discontinuing external rotations, and converting in-person to online didactics have been broadly and swiftly implemented. While these innovations have promoted greater interconnectivity amongst institutions and made continuing medical education possible, international exchange programs in medical education are still largely disrupted. In response to the changing guidelines and restrictions necessitated by the COVID-19 pandemic, the authors used Kern's six-step approach to design and implement a virtual curriculum to replace the in-person activities of the 2020-2021 Neurology Peru-Rochester exchange program (NeuroPro). Twenty-seven trainees participated in this virtual adaptation. The average daily attendance was ≥85% and the program was rated 9/10 on average in a feedback survey (63% response rate). The median percentage of correct answers during the pre-test was 64% and it increased to 79% during the post-test (P = 0.003). Virtual adaptation of international exchange programs in medical education is feasible to safely continue international collaborative efforts to promote symbiotic building of local expertise and cross-cultural exchange during the ongoing COVID-19 pandemic and beyond.

Indexed as

COVID-19NeurologyCurriculumEducation, Medical, ContinuingHumansPandemicsCOVID-19global healthinternational exchange programmedical educationvirtual education

Identifiers

PMID35860037
PMCPMC9267016

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.