Evidence map›Paper›PMID 39328821›Full record

ArticleJournal of medical education and curricular development

The Impact of COVID-19 Service Learning on Medical Student Professional Identity Formation.

Wei-Hsin Lu, Lindsy Pang, Lisa Strano-Paul

Abstract read
In one paragraph

Article in Journal of medical education and curricular development. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

3 authors.

Wei-Hsin LuRenaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
Lindsy PangMcGovern School of Medicine at The University of Texas Department of Psychiatry and Behavioral Science, Houston, TX, USA.
Lisa Strano-PaulRenaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe COVID-19 pandemic affected in-person educational activities and required medical schools to adapt and enrich their curriculum to ensure ongoing professional development. During the height of the COVID-19 pandemic, students expressed a significant desire to contribute and continue their medical education. Service learning promotes experiential learning and Professional Identity Formation (PIF). This study examines the impact that a service-learning elective had on medical students' education and PIF.

methodsOffering a service-learning elective allowed students to remain engaged in educational activities and pandemic-relief efforts. We conducted a qualitative analysis of 132 written reflections by medical students who completed a 2- or a 4-week service-learning elective to assess for major themes and impact on PIF.

resultsParticipation in service learning had a favorable impact on PIF as expressed by the personal qualities student identified as having developed or improved upon because of their participation. Enhancement of communication skills, teamwork skills, compassion, and empathy were major themes conveyed in student reflections. Qualities of resilience were also portrayed through the write-up as students noted how the elective allowed for active engagement in community pandemic-relief efforts and created opportunities for overcoming obstacles related to service learning projects they participated in.

conclusionsService learning in medical school has a dual purpose of providing community support while imparting significant learning opportunities for PIF in medical students.

Indexed as

professional identity formationself-reflectionService learning

Identifiers

PMID39328821
PMCPMC11425726

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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.