Evidence map›Paper›PMID 34844586›Full record

ArticleBMC medical education2021

Hurdles for adopting mobile learning devices at the outset of clinical courses.

Daniel Folger, Jussi Merenmies, Lena Sjöberg, Eeva Pyörälä

Abstract read
In one paragraph

Article in BMC medical education, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Daniel FolgerClinicum, University of Helsinki, P.O. Box 63, 00014, Helsinki, Finland. daniel.folger@helsinki.fi.
Jussi MerenmiesClinicum, University of Helsinki, P.O. Box 63, 00014, Helsinki, Finland.
Lena SjöbergClinicum, University of Helsinki, P.O. Box 63, 00014, Helsinki, Finland.
Eeva PyöräläCentre for University Teaching and Learning, University of Helsinki, P.O. Box 21, 00140, Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile devices provide medical students with easy access to medical information and educational resources. Since 2013, we have followed the study use of iPads among medical students. In 2016, we observed a notable drop in the mobile device usage in the first cohort of medical students entering their clinical courses.

methodsThe aim of the study was to identify the hurdles for adopting mobile devices at the beginning of the clinical courses. We examined how students evaluated their own and the clinical teachers' ability to use the iPad, how the study assignments fit into digital learning, and how students used the mobile device with patients. The data were collected with online surveys among three consecutive student cohorts and the distributions of closed-ended questions analyzed.

resultsResponse rates ranged from 67.5 to 90.8%. Students evaluated their own ability to use the iPad as good or excellent and teachers' skills as relatively poor and wanted more digitally tailored assignments. They reported negative attitudes towards mobile device use in the clinical setting and were hesitant to use them in patient contact. Teachers seldom communicated suitable quality medical applications to students.

conclusionsClinical teachers need support and training to implement a learning environment and assignments appropriate for mobile devices. Both students and teachers were concerned about using these devices with patients. To achieve the full potential of digitalisation in clinical courses, their use should be developed collectively with students.

Indexed as

Computers, HandheldStudents, MedicalCohort StudiesHumansLearningSurveys and QuestionnairesClinicaliPadMobilePregraduateTechnology

Identifiers

PMID34844586
PMCPMC8629605

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.