Evidence map›Paper›PMID 27476537›Full record

ArticleMedical education online2016

EQClinic: a platform for learning communication skills in clinical consultations.

Chunfeng Liu, Karen M Scott, Renee L Lim, Silas Taylor, Rafael A Calvo

Open access · goldAbstract read
In one paragraph

Article in Medical education online, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 6% of its field
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

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  9. ConverSense: An Automated Approach to Assess Patient-Provider Interactions using Social Signals.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2024
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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

5 authors at 2 institutions in 1 country.

Chunfeng LiuSchool of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia.
Karen M ScottDiscipline of Paediatrics and Child Health, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia.
Renee L LimSchool of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia.
Silas TaylorOffice of Medical Education, UNSW Medicine, UNSW Australia, Sydney, NSW, Australia.
Rafael A CalvoSchool of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia; rafael.calvo@sydney.edu.au.
University of Sydney · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDoctors' verbal and non-verbal communication skills have an impact on patients' health outcomes, so it is important for medical students to develop these skills. Traditional, non-verbal communication skills training can involve a tutor manually annotating a student's non-verbal behaviour during patient-doctor consultations, but this is very time-consuming. Tele-conference systems have been used in verbal communication skills training.

methodsWe describe EQClinic, a system that enables verbal and non-verbal communication skills training during tele-consultations with simulated patients (SPs), with evaluation exercises promoting reflection. Students and SPs can have tele-consultations through the tele-consultation component. In this component, SPs can provide feedback to students through a thumbs-up/ thumbs-down tool and a comments box. EQClinic automatically analyses communication features in the recorded consultations, such as facial expressions, and provides graphical representations. Our 2015 pilot study investigated whether EQClinic helped students be aware of their non-verbal behaviour and improve their communication skills, and evaluated the usability of the platform. Students received automated feedback, and SP and tutor evaluations, and then completed self-assessment and reflection questionnaires.

resultsEight medical students and three SPs conducted 13 tele-consultations using EQClinic. More students paid attention to their non-verbal communication and students who were engaged in two consultations felt more confident in their second consultation. Students rated the system positively, felt comfortable using it (5.9/7), and reported that the structure (5.4/7) and information (5.8/7) were clear. This pilot provides evidence that EQClinic helps, and positively influences, medical students practise their communication skills with SPs using a tele-conference platform. DISCUSSION: It is not easy to improve non-verbal communication skills in a short time period. Further evaluation of EQClinic with larger numbers will ascertain learning gains and application in health professional training. Developing a standard model for the assessment of non-verbal behaviour in tele-consultations and providing students with more valuable evaluation and suggestions are part of our future work.

Indexed as

CommunicationPhysician-Patient RelationsEducation, Medical, UndergraduateFemaleFormative FeedbackHumansMalePatient SimulationPilot ProjectsRemote Consultationautomated feedbackcommunication skills trainingmedical educationnon-verbal behaviour recognitionnon-verbal communicationtele-consultation

Identifiers

PMID27476537
PMCPMC4967711
OpenAlexW2502846793

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.