Evidence map›Paper›PMID 40831976›Full record

ArticleInternational journal of nursing studies advances2025

Educational technology enhanced interprofessional E-learning for engaging cross-institutional and cross-border healthcare students: A mixed-methods study.

Siu Ling Chan, John Tai Chun Fung, Man Sang Wong, Christopher Chi Wai Cheng, Jay Jung Jae Lee, Hye Ri Choi, Wai Hin Wan, Harrison Withrow, Seng-Iad Sirirat, Wai Ho Tse and 5 more

Abstract read
In one paragraph

Article in International journal of nursing studies advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

15 authors.

Siu Ling ChanSchool of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
John Tai Chun FungSchool of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Man Sang WongDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
Christopher Chi Wai ChengDepartment of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Jay Jung Jae LeeSchool of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Hye Ri ChoiSchool of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Wai Hin WanSchool of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Harrison WithrowSchool of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Seng-Iad SiriratSirindhorn School of Prosthetics and Orthotics, Faculty of Medicine, Siriraj Hospital, Mahidol University, China.
Wai Ho TseSchool of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Rebecca Po Wah PoonSchool of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Choi Fung LamSchool of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Hemio Chung Yan LamSchool of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Chun Kit ChanSchool of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Chia Chin LinSchool of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: In the post-COVID-19 era, educators in higher education are exploring innovative pedagogies to deliver effective interprofessional education in an online learning environment. This study aimed to evaluate the effectiveness of the technology-enhanced e-learning modules for undergraduate healthcare students from different cultural backgrounds. The focus was on student engagement with interprofessional learning and diversity using innovative educational technology. Methods: This is a mixed-methods study including pre- and post-test evaluations and focus group interviews. The educational intervention strategies focused on applying interprofessional learning among undergraduate healthcare students by integrating education technologies (i.e., virtual reality 360 and gamification) into two e-learning modules. Three time-points involving pre and post modules' evaluation (before and after the 1st learning module, and after the 2nd learning module) were collected using validated scales including Interprofessional Attitudes Scale and Online Student Engagement Scale. Linear mixed models were used to investigate the association between interventions and changes in outcomes from pre-to post-intervention by adjusting the covariates. To further validate the quantitative findings, focus-group interviews were conducted with a verbatim transcript obtained from participating students for content analysis. Results: A total of 75 undergraduate healthcare students from Hong Kong, Mainland China, South Korea, and Thailand participated in the study. A statistically significant positive change was detected in interprofessional attitude ( Conclusions: The technology-enhanced e-learning modules significantly enhanced undergraduate healthcare students' interprofessional attitude and student learning engagement in terms of interprofessional education. Healthcare educators in higher education are encouraged to integrate educational technology as a pedagogical approach to stimulate interprofessional learning of undergraduate healthcare students.

Indexed as

cultural diversityeducation technologygamificationInternationalizationinterprofessional educationonline learning engagementVirtual Reality 360

Identifiers

PMID40831976
PMCPMC12359269

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.