Practice Gaps in Patient Safety Among Dermatology Residents and Their Teachers
Bibliographic record
Abstract
IMPORTANCE: Curriculum and role modeling adjustments are necessary to address patient safety gaps occurring during dermatology residency. OBJECTIVE: To identify the source of clinical practices among dermatology residents that affect patient safety and determine the best approach for overcoming gaps in knowledge and practice patterns that contribute to these practices. DESIGN, SETTING, AND PARTICIPANTS: A survey-based study, performed at a national medical dermatology meeting in Itasca, Illinois, in 2012, included 142 dermatology residents from 44 residency programs in the United States and Canada. MAIN OUTCOMES AND MEASURES: Self-reported rates of dermatology residents committing errors, identifying local systems errors, and identifying poor patient safety role modeling. RESULTS: Of surveyed dermatology residents, 45.2% have failed to report needle-stick injuries incurred during procedures, 82.8% reported cutting and pasting a previous author's patient history information into a medical record without confirming its validity, 96.7% reported right-left body part mislabeling during examination or biopsy, and 29.4% reported not incorporating clinical photographs of lesions sampled for biopsy in the medical record at their institution. Residents variably perform a purposeful pause ("time-out") when indicated to confirm patient, procedure, and site before biopsy, with 20.0% always doing so. In addition, 59.7% of residents work with at least 1 attending physician who intimidates the residents, reducing the likelihood of reporting safety issues they witness. Finally, 78.3% have witnessed attending physicians purposefully disregarding required safety steps. CONCLUSIONS AND RELEVANCE: Our data reinforce the need for modified curricula, systems, and teacher development to reduce injuries, improve communication with patients and between physicians, residents, and other members of the health care team, and create an environment free of intimidation.
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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 | 0.006 | 0.024 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".