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Record W3107325322 · doi:10.1186/s12909-020-02401-0

Simulated patient and role play methodologies for communication skills and empathy training of undergraduate medical students

2020· article· en· W3107325322 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBMC Medical Education · 2020
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsnot available
FundersRégion BretagneLigue Contre le Cancer
KeywordsEmpathyContext (archaeology)Nonverbal communicationSession (web analytics)PsychologyCommunication skills trainingTask (project management)Medical educationPerspective (graphical)Simulated patientApplied psychologyCommunication skillsClinical psychologySocial psychologyMedicineDevelopmental psychologyComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

BACKGROUND: Verbal and non-verbal communication, as well as empathy are central to patient-doctor interactions and have been associated with patients' satisfaction. Non-verbal communication tends to override verbal messages. The aim of this study was to analyze how medical students use verbal and non-verbal communication using two different educational approaches, student role play (SRP) and actor simulated patient (ASP), and whether the non-verbal behaviour is different in the two different poses. METHODS: Three raters evaluated 20 students playing the doctor role, 10 in the SRP group and 10 in the ASP group. The videos were analyzed with the Calgary-Cambridge Referenced Observation Guide (CCG) and, for a more accurate evaluation of non-verbal communication, we also evaluated signs of nervousness, and posture. Empathy was rated with the CARE questionnaire. Independent Mann Whitney U tests and Qhi square tests were performed for statistical analysis. RESULTS: From the 6 main tasks of the CCG score, we obtained higher scores in the ASP group for the task 'Gathering information' (p = 0.0008). Concerning the 17 descriptors of the CCG, the ASP group obtained significantly better scores for 'Exploration of the patients' problems to discover the biomedical perspective' (p = 0.007), 'Exploration of the patients' problems to discover background information and context' (p = 0.0004) and for 'Closing the session - Forward planning' (p = 0.02). With respect to non-verbal behaviour items, nervousness was significantly higher in the ASP group compared to the SRP group (p < 0.0001). Concerning empathy, no differences were found between the SRP and ASP groups. CONCLUSIONS: Medical students displayed differentiated verbal and non-verbal communication behaviour during the two communication skills training methodologies. These results show that both methodologies have certain advantages and that more explicit non-verbal communication training might be necessary in order to raise students' awareness for this type of communication and increase doctor-patient interaction effectiveness.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.032
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.695
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.071
GPT teacher head0.418
Teacher spread0.346 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it