Evidence map›Paper›PMID 32422876›Full record

ReviewInternational journal of environmental research and public health2020

A Literature Review on the Foundations and Potentials of Digital Teaching Scenarios for Interprofessional Health Care Education.

Johannes Grosser, Martina Bientzle, Joachim Kimmerle

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

3 authors.

Johannes GrosserKnowledge Construction Lab, Leibniz-Institut fuer Wissensmedien, 72076 Tuebingen, Germany.ORCID 0000-0002-0015-2966
Martina BientzleKnowledge Construction Lab, Leibniz-Institut fuer Wissensmedien, 72076 Tuebingen, Germany.
Joachim KimmerleKnowledge Construction Lab, Leibniz-Institut fuer Wissensmedien, 72076 Tuebingen, Germany.ORCID 0000-0002-6345-9498

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The health care system is increasingly complex and specialized, but it presents the actors involved with the challenge of working together in interprofessional teams. One way to meet this challenge is through interprofessional training approaches, where representatives of different professions learn together with learners of other professions. This article contributes to the question of how interprofessional teaching in health care education can be designed with a low threshold by using digital media. We focus on learning with digital learning platforms and learning with videos. Based on existing empirical findings, these approaches are discussed in terms of their potential and limitations for interprofessional teaching. In particular, we examine how these approaches influence the core competence domains of interprofessional collaborative practice. Digital collaborative learning platforms are suitable for teaching interprofessional competences, since they enable social and professional exchange among learners of different professions. Videos are suitable for imparting medical declarative and procedural knowledge. Based on these considerations, the use of videos in combination with interaction possibilities is presented as a didactic approach that can combine the aspect of knowledge transfer with the possibility of interprofessional computer-based collaboration.

Indexed as

Health EducationInternetInterprofessional RelationsCooperative BehaviorDelivery of Health CareLearningPatient Care Teamdigital learning platformshealth careinterprofessional collaborationMedical educationvideos

Identifiers

PMID32422876
PMCPMC7277820

What OpenQuestion holds

Textmetadata
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.