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  4. A web-based telehealth training platform incorporating automated nonverbal behavior feedback for teaching communication skills to medical students: a randomized crossover study
 
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A web-based telehealth training platform incorporating automated nonverbal behavior feedback for teaching communication skills to medical students: a randomized crossover study
File(s)
pdf.pdf (223.96 KB)
Published version
OA Location
https://www.jmir.org/2016/9/e246/
Author(s)
Liu, Chunfeng
Lim, Renee L
McCabe, Kathryn L
Taylor, Silas
Calvo, Rafael A
Type
Journal Article
Abstract
Background: In the interests of patient health outcomes, it is important for medical students to develop clinical communication skills. We previously proposed a telehealth communication skills training platform (EQClinic) with automated nonverbal behavior feedback for medical students, and it was able to improve medical students’ awareness of their nonverbal communication.

Objective: This study aimed to evaluate the effectiveness of EQClinic to improve clinical communication skills of medical students.

Methods: We conducted a 2-group randomized crossover trial between February and June 2016. Participants were second-year medical students enrolled in a clinical communication skills course at an Australian university. Students were randomly allocated to complete online EQClinic training during weeks 1–5 (group A) or to complete EQClinic training during weeks 8–11 (group B). EQClinic delivered an automated visual presentation of students’ nonverbal behavior coupled with human feedback from a standardized patient (SP). All students were offered two opportunities to complete face-to-face consultations with SPs. The two face-to-face consultations were conducted in weeks 6–7 and 12–13 for both groups, and were rated by tutors who were blinded to group allocation. Student-Patient Observed Communication Assessment (SOCA) was collected by blinded assessors (n=28) at 2 time points and also by an SP (n=83). Tutor-rated clinical communications skill in face-to-face consultations was the primary outcome and was assessed with the SOCA. We used t tests to examine the students’ performance during face-to-face consultations pre- and postexposure to EQClinic.

Results: We randomly allocated 268 medical students to the 2 groups (group A: n=133; group B: n=135). SOCA communication skills measures (score range 4–16) from the first face-to-face consultation were significantly higher for students in group A who had completed EQClinic training and reviewed the nonverbal behavior feedback, compared with group B, who had completed only the course curriculum components (P=.04). Furthermore, at the second face-to-face assessment, the group that completed a teleconsultation between the two face-to-face consultations (group B) showed improved communication skills (P=.005), and the one that had teleconsultations before the first face-to-face consultation (group A) did not show improvement.

Conclusions: The EQClinic is a useful tool for medical students’ clinical communication skills training that can be applied to university settings to improve students clinical communication skills development.
Date Issued
2016-09-01
Date Acceptance
2016-08-24
Citation
Journal of Medical Internet Research, 2016, 18 (9), pp.1-9
URI
http://hdl.handle.net/10044/1/73537
DOI
https://www.dx.doi.org/10.2196/jmir.6299
ISSN
1438-8871
Publisher
JMIR Publications
Start Page
1
End Page
9
Journal / Book Title
Journal of Medical Internet Research
Volume
18
Issue
9
Copyright Statement
©Chunfeng Liu, Renee L Lim, Kathryn L McCabe, Silas Taylor, Rafael A Calvo. Originally published in the Journal of Medical
Internet Research (http://www.jmir.org), 12.09.2016. This is an open-access article distributed under the terms of the Creative
Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and
reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly
cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright
and license information must be included.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000388495800017&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Life Sciences & Biomedicine
Health Care Sciences & Services
Medical Informatics
nonverbal communication
nonverbal behavior
clinical consultation
medical education
communication skills
nonverbal behavior detection
automated feedback
affective computing
PILOT TEST
JUDGMENTS
SPEECH
Publication Status
Published
Article Number
ARTN e246
Date Publish Online
2016-09-12
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