Evidence map›Paper›PMID 38903367›Full record

ArticleCureus2024

Decision-Making During Asynchronous Electives: Insights From Emergency Medicine-Bound Medical Students.

Aarti Jain, Michael Shamoon, David Diller, Jeffrey Riddell

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Aarti JainEmergency Medicine, Keck School of Medicine of University of Southern California, Los Angeles, USA.
Michael ShamoonEmergency Medicine, Keck School of Medicine of University of Southern California, Los Angeles, USA.
David DillerEmergency Medicine, Keck School of Medicine of University of Southern California, Los Angeles, USA.
Jeffrey RiddellEmergency Medicine, Keck School of Medicine of University of Southern California, Los Angeles, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction While asynchronous learning is gaining popularity, little is known about learners' decisions regarding compliance with assigned asynchronous material. We sought to explore how medical students make decisions about the use of their time when engaging in asynchronous learning during the residency interview season.  Methods After implementing a four-week blended elective for emergency medicine-bound fourth-year medical students, we conducted a mixed methods study with an explanatory sequential design. We analyzed weekly surveys regarding accountability and barriers to assignment completion and conducted semi-structured focus groups exploring the decisions students made regarding compliance with asynchronous assignments. Using a constructivist approach, we performed a thematic analysis of the transcripts. Results The average assignment completion rate was 36%, with the highest rates for podcasts (58%) and the lowest rates for textbook readings (20%). Compliance with assignments was enhanced by a desire for increased ownership of learning but was hindered by a lack of accountability, learner burnout, and higher prioritization of interviews. Students preferentially selected resources that were shorter in length, entertaining, and more convenient for travel. Conclusion Our study highlights factors impacting student compliance when engaging in asynchronous learning and offers insights into educational and institutional strategies that can be utilized to enhance learner motivation.

Indexed as

asynchronousblended learningdistance learningmotivationundergraduate medical education

Identifiers

PMID38903367
PMCPMC11189017

What OpenQuestion holds

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LicenceCC BY
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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.