Evidence map›Paper›PMID 27939846›Full record

Trial reportPatient education and counseling2017

Using a computer simulation for teaching communication skills: A blinded multisite mixed methods randomized controlled trial.

Frederick W Kron, Michael D Fetters, Mark W Scerbo, Casey B White, Monica L Lypson, Miguel A Padilla, Gayle A Gliva-McConvey, Lee A Belfore, Temple West, Amelia M Wallace and 7 more

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Patient education and counseling, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 4 pooled it
–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

45 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  16. 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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  17. Designing Communication Feedback Systems To Reduce Healthcare Providers' Implicit Biases In Patient Encounters.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

17 authors.

Frederick W KronDepartment of Family Medicine, University of Michigan, Ann Arbor, MI, 48104, USA. Electronic address: fredkron@umich.edu.
Michael D FettersDepartment of Family Medicine, University of Michigan, Ann Arbor, MI, 48104, USA. Electronic address: mfetters@umich.edu.
Mark W ScerboDepartment of Psychology, Old Dominion University, Norfolk, VA, 23529, USA. Electronic address: mscerbo@odu.edu.
Casey B WhiteDepartment of Medical Education, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA. Electronic address: cw4xz@virginia.edu.
Monica L LypsonDepartment of Internal Medicine, Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, 48104, USA. Electronic address: mlypson@med.umich.edu.
Miguel A PadillaDepartment of Psychology, Old Dominion University, Norfolk, VA, 23529, USA. Electronic address: mapadill@odu.edu.
Gayle A Gliva-McConveySentara Center for Simulation and Immersive Learning, Eastern Virginia Medical School, Norfolk, VA, 23501, USA. Electronic address: glivaga@evms.edu.
Lee A BelforeDepartment of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, 23529, USA. Electronic address: lbelfore@odu.edu.
Temple WestSentara Center for Simulation and Immersive Learning, Eastern Virginia Medical School, Norfolk, VA, 23501, USA. Electronic address: westt@evms.edu.
Amelia M WallaceSentara Center for Simulation and Immersive Learning, Eastern Virginia Medical School, Norfolk, VA, 23501, USA. Electronic address: wallacam@evms.edu.
Timothy C GuettermanDepartment of Family Medicine, University of Michigan, Ann Arbor, MI, 48104, USA. Electronic address: tguetter@umich.edu.
Lauren S SchleicherDepartment of Family Medicine, University of Michigan, Ann Arbor, MI, 48104, USA. Electronic address: lschlei@med.umich.edu.
Rebecca A KennedyDepartment of Psychology, Old Dominion University, Norfolk, VA, 23529, USA. Electronic address: rkenn014@odu.edu.
Rajesh S MangrulkarDepartment of Internal Medicine, Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, 48104, USA. Electronic address: rajm@umich.edu.
James F ClearyDepartment of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, WI, 53706, USA. Electronic address: jfcleary@wisc.edu.
Stacy C MarsellaDepartment of Computer Science, Department of Psychology, Northeastern University, Boston, MA, 02115, USA. Electronic address: marsella@ccs.neu.edu.
Daniel M BeckerDepartment of Medicine, University of Virginia Health System, Charlottesville, VA, 22908, USA. Electronic address: dmb2y@hscmail.mcc.virginia.edu.

Funding

Modeling Professional Attitudes and Teaching Humanistic Communication in VRR44TR000360 · NCATS · MEDICAL CYBERWORLDS, INC. · PI FETTERS, MICHAEL DERWIN, KRON, FREDERICK WILLIAM · 2012 to 2014
$2.0M
Modeling Professional Attitudes and Teaching Humanistic Communication in VRR43CA141987 · NCI · MEDICAL CYBERWORLDS, INC. · PI FETTERS, MICHAEL DERWIN, KRON, FREDERICK WILLIAM · 2009 to 2009
$464k
NCATS NIH HHS R44 TR000360NCI NIH HHS R43 CA141987
6 · The paper itself

Abstract

objectivesTo assess advanced communication skills among second-year medical students exposed either to a computer simulation (MPathic-VR) featuring virtual humans, or to a multimedia computer-based learning module, and to understand each group's experiences and learning preferences.

methodsA single-blinded, mixed methods, randomized, multisite trial compared MPathic-VR (N=210) to computer-based learning (N=211). Primary outcomes: communication scores during repeat interactions with MPathic-VR's intercultural and interprofessional communication scenarios and scores on a subsequent advanced communication skills objective structured clinical examination (OSCE). Multivariate analysis of variance was used to compare outcomes. SECONDARY OUTCOMES: student attitude surveys and qualitative assessments of their experiences with MPathic-VR or computer-based learning.

resultsMPathic-VR-trained students improved their intercultural and interprofessional communication performance between their first and second interactions with each scenario. They also achieved significantly higher composite scores on the OSCE than computer-based learning-trained students. Attitudes and experiences were more positive among students trained with MPathic-VR, who valued its providing immediate feedback, teaching nonverbal communication skills, and preparing them for emotion-charged patient encounters.

conclusionsMPathic-VR was effective in training advanced communication skills and in enabling knowledge transfer into a more realistic clinical situation. PRACTICE IMPLICATIONS: MPathic-VR's virtual human simulation offers an effective and engaging means of advanced communication training.

Indexed as

Clinical CompetenceCommunicationComputer SimulationPatient SimulationAdultCurriculumEducation, MedicalFemaleHumansMalePhysician-Patient RelationsSingle-Blind MethodStudents, MedicalUser-Computer InterfaceBreaking bad newsCommunication trainingComputer-based conversational agentComputer simulationCultural competenceDoctor-patient relationshipHealthcare communicationHuman-computer interactionIntelligent tutoring systemsIntercultural communicationInter-professional communicationKnowledge transferMindful practiceMixed methods researchNonverbal communicationReflection in actionReflection on actionSimulationTraining transferVirtual Human

Identifiers

PMID27939846
PMCPMC5385273

What OpenQuestion holds

Textmetadata
LicenceTDM
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.