Evidence map›Paper›PMID 39696785›Full record

ArticleMedical education2025

Integrating digital technologies into teaching embodied knowledge in the context of physical examination.

Jessica Lees, Torsten Risǿr, Linda Sweet, Margaret Bearman

Abstract read
In one paragraph

Article in Medical education, 2025. 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

4 authors.

Jessica LeesSchool of Nursing and Midwifery, Faculty of Health, Deakin University, Geelong, Australia.ORCID 0000-0003-0026-9432
Torsten RisǿrFaculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-2018-528X
Linda SweetSchool of Nursing and Midwifery, Faculty of Health, Deakin University, Geelong, Australia.ORCID 0000-0003-0605-1186
Margaret BearmanCentre for Research in Assessment and Digital Learning (CRADLE), Deakin University, Geelong, Australia.ORCID 0000-0002-6862-9871

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a growing presence of digital technologies in clinical learning environments. However, there is little research into how such technologies shape embodied teaching and learning for health professional students. This study aims to explore current teaching practices in health disciplines to illuminate how digital technologies are used to facilitate the development of embodied knowledge during student learning of physical examination.

methodsA qualitative interpretive approach was undertaken, sensitised by body pedagogics as a theoretical frame. In-depth interviews with 18 clinical educators across the disciplines of medicine, physiotherapy, midwifery and nursing were held. These interviews explored their current practices for teaching physical examination. The data was analysed using reflexive thematic analysis combined with a 'thinking with theory' approach, in which the theoretical framework of body pedagogics was central to guiding the reflexive and interpretative process.

resultsWe interpreted a framework of five approaches where digital technologies are used to develop bodily knowledge: for sensate knowing; for modelling; for rehearsing; for guiding practice and for providing feedback information.

conclusionFindings suggest that in current teaching practices, digital technology may be used to facilitate multiple essential elements of physical examination instruction. We conceptualised a framework that extends body pedagogics, where we recognise the multiple roles of digital technology for developing bodily knowledge in the context of physical examination.

Indexed as

Digital TechnologyPhysical ExaminationClinical CompetenceEducation, Medical, UndergraduateHumansInterviews as TopicLearningQualitative ResearchTeaching

Identifiers

PMID39696785
PMCPMC12198720

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.