Self-reported patient safety competence among Canadian medical students and postgraduate trainees: a cross-sectional survey
Bibliographic record
Abstract
BACKGROUND: Quality and patient safety (PS) are critical components of medical education. This study reports on the self-reported PS competence of medical students and postgraduate trainees. METHODS: The Health Professional Education in Patient Safety Survey was administered to medical students and postgraduate trainees in January 2012. PS dimension scores were compared across learning settings (classroom and clinical) and year in programme. RESULTS: Sixty-three percent (255/406) of medical students and 32% (141/436) of postgraduate trainees responded. In general, both groups were most confident in their learning of clinical safety skills (eg, hand hygiene) and least confident in learning about sociocultural aspects of safety (eg, understanding human factors). Medical students' confidence in most aspects of safety improved with years of training. For some of the more intangible dimensions (teamwork and culture), medical students in their final year had lower scores than students in earlier years. Thirty-eight percent of medical students felt they could approach someone engaging in unsafe practice, and the majority of medical students (85%) and postgraduate trainees (78%) agreed it was difficult to question authority. CONCLUSIONS: Our results suggest the need to improve the overall content, structure and integration of PS concepts in both classroom and clinical learning environments. Decreased confidence in sociocultural aspects of PS among medical students in the final year of training may indicate that culture in clinical settings negatively affects students' perceived PS competence. Alternatively, as medical students spend more time in the clinical setting, they may develop a clearer sense of what they do not know.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".