Evidence map›Paper›PMID 40500719›Full record

ArticleBMC medical education2025

Digital learning resource use among Swedish medical students: insights from a nationwide survey.

Martin F Bjurström, Emma Lundkvist, Louise W Sturesson, Ola Borgquist, Robin Lundén, Malin Jonsson Fagerlund, Miklós Lipcsey, Thomas Kander

Abstract read
In one paragraph

Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

8 authors.

Martin F BjurströmDepartment of Surgical Sciences, Clinical Pain Research, Uppsala University, Uppsala, Sweden. martin.flores.bjurstrom@uu.se.
Emma LundkvistDepartment of Pharmacy, Clinical Pharmacy and Pharmacotherapy and Unit for Academic Teaching and Learning, Uppsala University, Uppsala, Sweden.
Louise W SturessonDepartment of Clinical Sciences Lund, Anesthesiology and Intensive Care Medicine, Lund University, Lund, Sweden.
Ola BorgquistDepartment of Clinical Sciences Lund, Anesthesiology and Intensive Care Medicine, Lund University, Lund, Sweden.
Robin LundénDepartment of Anesthesiology and Intensive Care, Skåne University Hospital, Lund, Sweden.
Malin Jonsson FagerlundDepartment of Physiology and Pharmacology, Section for Anesthesiology and Intensive Care Medicine, Karolinska Institute, Stockholm, Sweden.
Miklós LipcseyDepartment of Surgical Sciences, Anesthesiology and Intensive Care, Uppsala University, Uppsala, Sweden.
Thomas KanderDepartment of Clinical Sciences Lund, Anesthesiology and Intensive Care Medicine, Lund University, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedical students navigate a complex landscape of digital tools with potential to enhance learning. The main objectives of the current study were to investigate which digital resources are being used, which background factors are associated with utilization, perceived advantages and disadvantages of different digital resources, and explore future directions.

methodsCross-sectional, nationwide, online 25-item multiple-choice question survey and one free-text question enabling qualitative data analysis. Medical students at all seven universities with medical school programs in Sweden were invited to participate. Data were collected October - December 2024.

resultsOne thousand seven hundred sixty-six students responded to the survey, with an average response rate of 20.2% across sites. The five most frequently used digital resources were (percentage using at least on a weekly basis): University study platform (75.3%), videos (68.0%), flashcards (66.4%), student notes (53.4%) and external study platforms (47.3%). Flashcards were perceived to have a large to very large positive impact on development and maintenance of theoretical knowledge by 63.7% of students. Younger age (≤ 25 years) was strongly associated with higher use of flashcards (OR 1.98 (95% CI 1.54-2.54)) and generative artificial intelligence (AI) (OR 1.66 (1.29-2.15)), whereas having children at home was associated with more frequent use of videos (OR 2.32 (1.32-4.08)) and university digital platforms (OR 2.62 (1.26-5.45)), in multivariable logistic regression analyses. Most students (74.8%) reported finding their digital resources based on recommendations from more senior medical students. Perceived key advantages of digital resources in general were availability (90.9%), flexibility (80.6%), and more effective learning compared to traditional modalities (59.0%), while possible disadvantages included risk for distraction (49.6%) and uncertainty regarding reliability of content (45.4%). Qualitative data highlighted several areas of interest, including calls for universities and lecturers to provide high-quality, updated video material and flashcard decks tailored to the curriculum, and review and recommend third-party digital resources (e.g., YouTube channels).

conclusionsMedical students extensively use digital resources, with perceived large positive learning effects and benefits. Several background factors influence usage patterns. These data may support institutions, program directors and teachers in their efforts to guide and improve use of digital learning tools in medical schools.

Indexed as

Computer-Assisted InstructionEducation, Medical, UndergraduateLearningStudents, MedicalAdultCross-Sectional StudiesFemaleHumansMaleSurveys and QuestionnairesSwedenYoung AdultAIDigitalEducationFlashcardsMedical studentsVideo

Identifiers

PMID40500719
PMCPMC12153187

What OpenQuestion holds

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LicenceCC BY
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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.