Evidence map›Paper›PMID 37609370›Full record

ArticleSurgery open science2023

Fostering interdisciplinary working within global surgery at an undergraduate level: A hackathon based approach.

Vigneshwar R Veerappan, Niraj S Kumar, Jashan Selvakumar, Mehak Kakwani, Katya M A Marks

Abstract read
In one paragraph

Article in Surgery open science, 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.

Vigneshwar R VeerappanHull York Medical School, University of York, UK.
Niraj S KumarNational Medical Research Association, London, UK.
Jashan SelvakumarSt George's, University of London, UK.
Mehak KakwaniLeeds School of Medicine, University of Leeds, UK.
Katya M A MarksJohns Hopkins Bloomberg School of Public Health, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the effectiveness of a virtual hackathon in fostering interdisciplinary working amongst undergraduate students in global surgery. Methodology: In this study, we developed a 3 day event consisting of guest lectures, a documentary screening and a hackathon supported by academics and experts in the field, to provide students with the opportunity to learn more about and work in interdisciplinary teams within global surgery. Students had the option to attend just the lectures or both the lectures and hackathon. Quantitative and qualitative results were collected through a pre and post session survey. Results: A total of 21 responses were received for the hackathon and 26 responses for the general event (response rate for event = 26 %, response rate for hackathon = 24.7 %). There was a significant improvement in understanding of interdisciplinary working in global surgery between the pre and post-session survey, with an increase in median from 3 (IQR = 2-3.5, n = 21) to 4 (IQR = 4-5, n = 21) (p < 0.05). Respondents noted that the benefits of a hackathon were that it was very engaging, and brought in diversity of thought and expertise. The drawbacks to the hackathon were that it was fast-paced, required prior knowledge and the virtual platform it was hosted on. Conclusion: Our study demonstrates that hackathons are an effective, inclusive and equitable way for students to engage in and learn about interdisciplinary working. It is important that as institutions recognise and develop global surgery courses, these courses reflect the interdisciplinary nature of the field.

Indexed as

Global surgerySurgical education

Identifiers

PMID37609370
PMCPMC10440547

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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.