Virtual patient simulation in breaking bad news training for medical students.

Details

Serval ID
serval:BIB_C1006960141C
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Virtual patient simulation in breaking bad news training for medical students.
Journal
Patient education and counseling
Author(s)
Carrard V., Bourquin C., Orsini S., Schmid Mast M., Berney A.
ISSN
1873-5134 (Electronic)
ISSN-L
0738-3991
Publication state
Published
Issued date
07/2020
Peer-reviewed
Oui
Volume
103
Number
7
Pages
1435-1438
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
The present study explores students' perspective on the added value of a virtual patient (VP) simulation as part of a breaking bad news training in undergraduate medical education.
The VP simulation allows trying out and practicing different ways of disclosing a cancer diagnosis to a VP (avatar) and to react to emotionally-laden patient statements with the opportunity of self-observation through video recording. After testing the simulation, 23 students shared their experience in focus groups analyzed using thematic analysis.
Self-observation is the most valued feature of the simulation, because it enables users to reflect on their behaviors and adjust them. The competences developed are otherwise technical (e.g., organization of information) and concern less interactional competences. Areas for improvement of the simulation are the interactivity, quality, and diversity of the VPs.
The findings show that VP simulations help develop technical communication competences and are best suited as add-ons to other forms of training, in which relational aspects can be targeted. Self-observation is especially valued because it allows for a critical view regarding one's own communication behaviors in a stress-free environment.
The proposed simulation is beneficial as an add-on to lectures, supervision, and simulated patient interviews.
Keywords
Breaking bad news, Communication training, Qualitative analysis, Undergraduate medical training, Virtual patients
Pubmed
Web of science
Create date
06/02/2020 18:15
Last modification date
10/07/2020 6:21
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