First Year Specialist Anaesthesia Training in Ireland: A Logbook Analysis
Bibliographic record
Abstract
Objective:Acquisition of a new range of skills occurs during first year anaesthesia training. At present, no defined logbook targets exist for the Irish anaesthesia trainee.The aim of this study was to quantify the number of practical procedures performed and supervision required during first year anaesthesia training.Methods:A retrospective analysis of prospectively maintained logbooks of three first year anaesthesia trainees was performed.Results:In the first three months, mean numbers of cases were 224, enodotrachael tube (ETT) 64, laryngael mask airway (LMA) 55, spinal anaesthetic 12, arterial lines 9.5, central lines 0.5, peripheral nerve blockade (PNB) 2, epidurals 0. There was 91.5% direct supervision and 8.5% indirect supervision.In the final three months, mean numbers of cases were 205.5, ETT 28, LMA 35, spinals 50, arterial line insertions 4.5, central line insertions 1.5, PNB 3.5, epidurals 80. There was 68.5% direct supervision and 31.5% indirect supervision.Conclusions:Defined logbook targets are needed to quantify trainee progress.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".