Evidence map›Paper›PMID 41484237›Full record

ArticleJournal of medical systems2026

Facilitators and Barriers to Adoption of Mobile Learning Technologies in Undergraduate Health Professional Education in Clinical Environments: A Scoping Review.

Ariadna Huertas-Zurriaga, Beata Dobrowolska, Agnieszka Chrzan-Rodak, Angela Fessl, Sebastian Dennerlein, Stephanie Herbstreit, Carlos Martínez-Gaitero, Esther Cabrera, on the behalf of 4D Project Consortium

Abstract readScoping Review
In one paragraph

Article in Journal of medical systems, 2026. 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. Article
  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

9 authors.

Ariadna Huertas-ZurriagaGermans Trias i Pujol Research Institute, Hospital Germans Trias i Pujol, Institut Català de la Salut, Carretera de Canyet, s/n, 08916, Badalona, Spain.
Beata DobrowolskaFaculty of Health Sciences, Medical University of Lublin, ul. S. Staszica 4-6, 20-081, Lublin, Poland. beatadobrowolska@umlub.pl.
Agnieszka Chrzan-RodakFaculty of Health Sciences, Medical University of Lublin, ul. S. Staszica 4-6, 20-081, Lublin, Poland.
Angela FesslInstitute of Interactive Systems and Data Science, Graz University of Technology, and Know Center Research GmbH, Sandgasse 26/3, 8010, Graz, Austria.
Sebastian DennerleinInterdisciplinary Transformation University AT, Altenberger Straße 66c Science Park 4, 4040, Linz, Austria.
Stephanie HerbstreitFaculty of Medicine of the University of Duisburg-Essen, Essen, Germany.
Carlos Martínez-GaiteroTecnoCampus, Universitat Pompeu Fabra, Spain. TecnoCampus Mataró-Maresme, Edifici TCM6, Passatge d'Adolf Comeron, 10 08302, Mataró, Barcelona, Spain.
Esther CabreraTecnoCampus, Universitat Pompeu Fabra, Spain. TecnoCampus Mataró-Maresme, Edifici TCM6, Passatge d'Adolf Comeron, 10 08302, Mataró, Barcelona, Spain.
on the behalf of 4D Project Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing adoption of digital education, including mobile learning (mLearning), is transforming the training of future health professionals, offering advantages such as improved accessibility, timeliness, and affordability. While mLearning enhances clinical training by providing flexible access to information and supporting practical skills development, challenges such as inadequate resources and resistance from staff and patients need to be addressed for successful integration. This review aims to explore the factors for successful adoption of mLearning in clinical placements, providing valuable insights to inform best practices in its implementation. A scoping review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for scoping reviews (PRISMA-ScR). Arksey and O'Malley and Joanna Briggs Institute (JBI) methodology was applied. Searching 6 electronic databases plus manual searching returned 5178 articles, with 76 articles included in analysis. All studies were published between 2008 and 2024, with a significant proportion originating from Canada (n = 12), the United States (n = 12), the United Kingdom (n = 11), and Australia (n = 11). The majority of the studies involved nursing (n = 47) and medical (n = 24) students. The analysis revealed 6 facilitators and 6 barriers. It identified positive attitudes toward mobile applications, highlighting their role in enhancing education in clinical environment, organizing training, and improving patient care. However, barriers such as the absence of regulations, ethical concerns, and technical issues were also noted, along with the need to address information literacy and skills. Mapping research regarding facilitators and barriers for introducing mobile learning technologies into undergraduate education in clinical environment has helped in creating a set of solutions which are capable to ensure the success and sustainability of mLearning. These solutions should be considered at the innovation's design, implementation, and post-implementation stages to guarantee its effectiveness in education in clinical environments. This may help to enhance the learning experience, improve knowledge retention, and develop clinical skills, while providing a cost-effective solution for clinical training programs for healthcare professions. This, in turn, has positive implications for quality of care provided.

Indexed as

Health PersonnelHumansClinical placementsFacilitators and barriersMobile learningScoping review

Identifiers

PMID41484237
PMCPMC12764693

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.