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Video improved role play for teaching communication skills

2005· article· en· W2078667737 on OpenAlexaboutno aff
Caroline Fertleman, James Gibbs, Sarah Eisen

Bibliographic record

VenueMedical Education · 2005
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingBlameContext (archaeology)Perspective (graphical)PsychologyMedical educationCommunication skillsMedicineSocial psychology

Abstract

fetched live from OpenAlex

Context and setting It is widely acknowledged that communication skills are central to effective clinical practice and must be taught. Role play can give students the opportunity to gain insight into a parent's perspective as well as experiencing how the doctor may feel dealing with difficult situations, and allows the practice and exploration of appropriate responses. We have developed and evaluated a new teaching aid in communication skills for second-year clinical medical students using edited video footage. This material provides a useful starting point for learning through role play and subsequent open discussion. Why the idea was necessary Although many medical students dislike role play, the experience can be enhanced if the students are able to develop some insight into the situations they are role playing by exposure to authentic discussion of parental circumstances beforehand. However, parents find repeated discussion of their experiences emotionally draining and time-consuming. Using recorded material overcomes this problem effectively, while preserving most of the impact of their account. What is being done Three mothers of ill children (diabetes, cerebral palsy and complex congenital heart disease) were videoed talking about their experiences. They discuss the impact the diagnosis had on siblings and family, how the news was initially broken, their feelings of guilt, blame and anger and their experience of the health-care system and its professionals. The edited testimony of one of the mothers (lasting 30 minutes) was shown to groups of 12 medical students during their paediatric attachment. The video was a prelude to role play lasting 5 minutes. Each group consisted of a ‘mother’, a ‘doctor’ and 1 or 2 observers, and explored 1 of 3 challenging situations faced by the mother. After the role play the students fed back to each other about their performance using the Calgary–Cambridge guide for the medical consultation within their groups for a further 5 minutes. Finally there was a facilitated discussion for the whole group for 20 minutes. Students completed questionnaires with 100 dot Likert scales (0 = not useful, 100 = useful) to evaluate the session. Evaluation of results and impact Attendance rate was 80% (n = 205) in a 6-month period. All students completed the questionnaires. Interim data suggest that this is an effective teaching approach. The following sections were felt to be useful; videos (median Likert score 84, 95% confidence intervals (CI), 20–100), role play (median score 68, 95% CI, 8–99) and discussion (median score 77, 95% CI, 7–99). Free text comments were generally constructive and encouraging, although 26 students felt that the role play was not useful. Overall, students rated the session positively (median 73, 95% CI, 23–99). Students reported that the video brought the mother's perspective to life and is an effective trigger from which to explore issues such as empathy, sensitivity and tact. Video-informed role play appears to be an effective teaching method for communication skills training in paediatrics.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0240.002

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 head0.006
GPT teacher head0.336
Teacher spread0.330 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations24
Published2005
Admission routes1
Has abstractyes

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