92 Balint Groups: An Initiative to Help Residents Better Understand the Clinician-Patient Relationship
Bibliographic record
Abstract
Abstract Primary Subject area Medical Education Background A Balint group is an educational tool that allows residents to reflect on challenging experiences with the doctor-patient relationship. Guided by trained facilitators, residents consider these cases from the doctor, patient and doctor-patient perspectives together with their colleagues. Balint groups can support the recognition of the emotional complexity underlying these interactions, which in turn reduces burnout, improves patient care and team dynamics, and strengthens professional identities. Objectives 1) To evaluate the effect of Balint groups on trainees’ perceived comfort levels in navigating, debriefing, and supporting peers through challenging patient-physician encounters; 2) To evaluate the effect of Balint groups on the perceived culture of support within the paediatric residency program at the University of Toronto. Design/Methods The University of Toronto Pediatrics Residency Program incorporated Balint groups into the curriculum in 2018. Supported by faculty, residents led their introduction and improvement using Quality Improvement methodology. Outcome measures included perceived comfort levels in navigating and supporting peers through challenging patient-physician encounters, and the perceived culture of support within the program. Outcome measures were obtained using a 5-point Likert scale. Rates of group participation were collected as a process measure. Results All outcome measures improved between the first and second year of Balint group implementation. Residents’ comfort levels in navigating difficult patient-physician encounters increased from a mean of 2.5 (out of a 5-point Likert scale) to 3.0, in debriefing complex scenarios from 3.1 to 3.9, and in supporting peers from 3.2 to 3.8. The perceived culture of peer support improved from a mean of 3.5 to 4.2. Conclusion A Balint group is a reflective educational tool, which has a positive impact on residents’ experiences navigating patient relationships. Introducing these sessions at our institution has shown an encouraging trend in improving residents’ comfort levels with difficult clinical encounters and fostering a culture of support.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".