Communicating wisely: teaching residents to communicate effectively with patients and caregivers about unnecessary tests
Bibliographic record
Abstract
BACKGROUND: With rising healthcare costs and a focus on quality, there is a growing need to promote resource stewardship in medical education. Physicians need to be able to communicate effectively with patients/caregivers seeking tests and treatments that are unnecessary. This study aimed to evaluate the impact of an interactive workshop on residents' knowledge of resource stewardship and communication skills when counseling patients/caregivers about requests for unnecessary testing. METHODS: Participants were 83 Internal Medicine and Pediatrics residents at the University of Toronto in 2014-15. The evaluation compared resource stewardship knowledge and communication skills of 57 (69%) residents that attended the resource stewardship workshop to 26 residents (31%) who did not. Knowledge and communication skills assessment consisted of a written test and a structured assessment using standardized patient raters, respectively. A linear regression was applied to determine predictors of overall communication skills performance. RESULTS: Workshop attendance resulted in better performance on the knowledge test (4.3 ± 1.9 vs. 3.1 ± 1.7 out of 8, p = 0.01), but not better performance on the communication skills assessment (4.1 ± 0.8 vs. 4.0 ± 0.9 out of 5, p = 0.56). Higher training level (p = 0.01) and knowledge test scores (p = 0.046) were independent predictors of better overall communication skills, after adjusting for gender, training level, workshop attendance, knowledge and self-reported prior feedback on communication skills. CONCLUSIONS: An interactive workshop can improve knowledge of resource stewardship, but improving communication skills with patients/caregivers about unnecessary testing may require additional training or reinforcement in the clinical learning environment. These teaching and assessment approaches can support the integration of education on resource stewardship into medical education.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".