Changes in residents’ opportunities for experiential learning over time
Bibliographic record
Abstract
CONTEXT: Learning in the clinical environment is believed to be a crucial component of residency training. However, it remains unclear whether recent changes to postgraduate medical education, including the implementation of work hour limitations, have significantly impacted opportunities for experiential learning. Therefore, we sought to quantify opportunities to gain clinical experience within medical-surgical intensive care units (ICUs) over time. METHODS: Data on the numbers of patients admitted and invasive procedures performed per day between 1 July 2001 and 30 June 2010 within three academic medical-surgical ICUs in Calgary, Alberta, Canada were obtained from electronic medical records. These data were matched to resident doctor on-call schedules and residents' opportunities to admit patients and participate in procedures were calculated and compared over time using Spearman's rho. RESULTS: We found that over a 9-year period, the opportunities afforded to residents (n = 1156) to admit patients (n = 17 189) and perform procedures (n = 52 827) during ICU rotations decreased by 32% (p < 0.001) and 34% (p < 0.001), respectively. CONCLUSIONS: Our results suggest that there has been a significant decrease in residents' clinical experiences in the ICU over time. Further investigations to better understand these changes and how they may impact on performance as residents become independent practising doctors are warranted.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".