Evidence map›Paper›PMID 38627720›Full record

ArticleBMC medical education2024

Fostering engagement in virtual anatomy learning for healthcare students.

Lauren Singer, Lily Evans, Daniel Zahra, Ifeoluwa Agbeja, Siobhan Moyes

Open access · goldAbstract read
In one paragraph

Article in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
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 at 1 institution in 1 country.

Lauren SingerPeninsula Schools of Medicine and Dentistry, Faculty of Health, University of Plymouth, Plymouth, UK. lauren.carr@plymouth.ac.uk.
Lily EvansPeninsula Schools of Medicine and Dentistry, Faculty of Health, University of Plymouth, Plymouth, UK.
Daniel ZahraPeninsula Schools of Medicine and Dentistry, Faculty of Health, University of Plymouth, Plymouth, UK.
Ifeoluwa AgbejaPeninsula Schools of Medicine and Dentistry, Faculty of Health, University of Plymouth, Plymouth, UK.
Siobhan MoyesPeninsula Schools of Medicine and Dentistry, Faculty of Health, University of Plymouth, Plymouth, UK.
University of Plymouth · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of virtual learning platforms is on the rise internationally, however, successful integration into existing curricula is a complex undertaking fraught with unintended consequences. Looking beyond medical and pedagogic literature can provide insight into factors affecting the user experience. The technology acceptance model, widely used in software evaluation, can be used to identify barriers and enablers of engagement with virtual learning platforms. Here, the technology acceptance model was used to scaffold the exploration of the factors that influenced students' perceptions of the virtual anatomy platform, Anatomage and how these shaped their intention to use it.

methodsFocus groups identified factors influencing students use of the Anatomage tables. Interventions were rolled out to address these findings, then further focus groups and the technology acceptance model identified how factors including self-efficacy, enjoyment, and social norms influenced students' intention to use the Anatomage table in the future.

resultsStudents raised significant concerns about understanding how to use the Anatomage table. Moreover, students who considered themselves to be poor at using technology perceived the Anatomage table as more complicated to use. The subjective norm of the group significantly altered the perceived ease of use and usefulness of the Anatomage. However, enjoyment had the greatest impact in influencing both perceived usefulness and perceived ease of use. Indicating that enjoyment is the largest contributing factor in altering technology engagement in healthcare cohorts and has the biggest potential to be manipulated to promote engagement.

conclusionsFocus groups used in tandem with the technology acceptance model provide an effective way to understand student perceptions around technology used in the healthcare curricula. This research determined interventions that promote student engagement with virtual learning platforms, which are important in supporting all healthcare programmes that incorporate technology enhanced learning.

Indexed as

LearningStudentsCurriculumDelivery of Health CareHumansSoftwareAnatomyIntegrated curriculumTechnology acceptance modelTechnology enhanced learningVirtual anatomyVirtual learning

Identifiers

PMID38627720
PMCPMC11020670
OpenAlexW4394838328

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.