Psychiatry Pitstop: Enhancing Communication Skills of Medical Students in Mental Health Settings
Bibliographic record
Abstract
Introduction Psychiatry Pitstop is a role-play-based program for medical students aimed to improve communication skills in the framework of mental health. The workshop involved amateur actors who simulated different clinical scenarios and psychiatry residents, who facilitated the sessions and provided constructive feedback following the Pendleton method. Psychiatry Pitstop was originally developed in the United Kingdom and it was expanded to Lisbon, Portugal, in 2019. The authors adapted the course to the Portuguese context, adjusting the number of sessions and altering the scenarios to match common clinical situations faced by junior doctors in Portugal. By now, we conducted four courses. Objectives Our study aims to describe the Portuguese adaptation of the program and to learn insights from the students feedback. Methods The course was assessed using satisfaction questionnaires, completed by the students after each session. These included a Likert scale ranging from 1 to 5, with items pertaining to Future Importance, Overall Quality, Theoretical Quality, and Practical Quality. Quantitative data was analyzed using Excel and standard descriptive statistics to summarize the results. The open questions invited students to articulate the main positive aspects, suggestions for improvement and future topics. A Natural Language Processing (NLP) software was used to evaluate open-ended responses and extract the main concepts. Results We obtained a total of 39 single-answers from 4 different courses. Evaluation results yielded a mean score of 4.7 for Future Importance, 4.9 for Overall Quality, 4.3 for Theoretical Teaching, and 4.9 for Practical Teaching. Notable positive aspects included students’ appreciation of the immersive interview environment, the dedication exhibited by actors and doctors, well-prepared case scenarios, and engaging interactions with participants. Suggestions for improvement encompass enhanced theoretical introductions, comprehensive topic coverage, universal participation in simulations, and expanded workshop days. Future prospects for the program include practicing interviews with other psychiatric diagnosis, addressing difficult patients, delivering bad news and covering topics related to sexuality, grief and moral dilemmas. Conclusions Our study shows that Psychiatry Pitstop adaptation to the Portuguese context was successful. Overall, the feedback from medical students has been consistently positive. Subsequent editions will draw upon the findings of this study to enhance overall program quality. Disclosure of Interest None Declared
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".