Evidence map›Paper›PMID 37225924›Full record

ArticleJournal of cancer education : the official journal of the American Association for Cancer Education2023

Considerations for Designing and Implementing a Multi-institution Undergraduate Medical Education Experience.

Steven King, Emma Y Wu, Christine Lin, Matthew Labriola, Myles Nickolich

Abstract read
In one paragraph

Article in Journal of cancer education : the official journal of the American Association for Cancer Education, 2023. 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
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.

  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

5 authors.

Steven KingPenn State College of Medicine, Hershey, USA. stevenking494@gmail.com.ORCID http://orcid.org/0000-0001-7786-6919
Emma Y WuPenn State College of Medicine, Hershey, USA.
Christine LinPenn State College of Medicine, Hershey, USA.
Matthew LabriolaDivision of Medical Oncology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
Myles NickolichPenn State College of Medicine, Hershey, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer Care Experience (CCE) is a unique elective educational program to further explore the subspecialty of oncology beyond the scope of the traditional undergraduate medical education curriculum. During the COVID-19 pandemic, CCE moved from an in-person to a virtual learning platform. This transition allowed program leaders to offer CCE as a multi-institutional program, with students participating from both Duke University School of Medicine and Penn State College of Medicine. Our study aimed to investigate the effectiveness of virtual learning, student perspectives on multi-institutional collaboration, and the program's impact on the student's understanding of oncology care and clerkship preparedness. Overall, students indicated CCE was an impactful program for them to learn more about oncology and that virtual learning was an effective learning platform. Furthermore, our results suggest students found the multi-institutional aspect valuable and that a multi-institution, hybrid (in-person and virtual) platform was preferred. Our study highlights the success of CCE as a multi-institution program and an effective elective program to expose students to the field of oncology further.

Indexed as

COVID-19Education, Medical, UndergraduateStudents, MedicalCurriculumHumansPandemicsStudentsCancer care experienceOncologyVirtual multi-institutional educational experience

Identifiers

PMID37225924
PMCPMC10208909

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.