Evidence map›Paper›PMID 35578333›Full record

ArticleBMC medical education2022

Creating Wikipedia articles on health and technology topics can empower the writers and benefit the community.

Khen Moscovici, Gal Ben Arie, Ilan Shelef, Adina Kalet

Abstract read
In one paragraph

Article in BMC medical education, 2022. 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

4 authors.

Khen Moscovici *Division of Diagnostic and Interventional Imaging, Soroka University Medical Center, Beer-Sheva, Israel. khenmo@post.bgu.ac.il.
Gal Ben Arie *Division of Diagnostic and Interventional Imaging, Soroka University Medical Center, Beer-Sheva, Israel.
Ilan ShelefDivision of Diagnostic and Interventional Imaging, Soroka University Medical Center, Beer-Sheva, Israel.
Adina KaletRobert D. and Patricia E. Kern Institute for the Transformation of Medical Education, Medical College of Wisconsin, 8701 W. Watertown Plank Road, Wauwatosa, WI, 53226, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPublicly accessible information regarding imaging procedures is lacking, especially in non-English languages. Biomedical engineering students do not generally have opportunities to practice conveying scientific knowledge to the public.

methodsAs part of a Techniques and Clinical Usage of Medical Imaging Devices course, for extra credit, several biomedical engineering students choose to create and edit Wikipedia articles in the local language (Hebrew). The goal of this activity was to serve the local community, while improving students' abilities and self-perception in reading and reporting scientific knowledge. Following task completion, individual interviews were conducted with the students to assess the impact of the task on student personal development, sense of meaning and their view of their role in educating the public.

resultsMost students considered the task meaningful and impactful on society. Additional academic credit was not perceived as the most important incentive for participating.

conclusionsMedical and other professional schools should seek to include tasks such as writing Wikipedia articles in their curricula. Educational assignments that integrate academic work, student identity development and direct community benefit can have a long-term beneficial impact on learners and society.

Indexed as

CurriculumWritingHumansStudentsTechnology

Identifiers

PMID35578333
PMCPMC9109402

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.