Postgraduate anaesthesiology education: protocol for a scoping review
Bibliographic record
Abstract
INTRODUCTION: The link between education and clinical practice is vital, yet the current state of research suggests there is a substantial gap between medical education research and practice. This too is the case in the domain of anaesthesiology education research, as much of the research focuses on simulation studies, and a narrow range of research methods. The aim of this study is to comprehensively review the existing literature in postgraduate anaesthesiology education research in order to identify key research priorities. The findings from this review will be used to establish a base for developing a strategic research programme in anaesthesia education and practice. METHODS AND ANALYSIS: We will employ the scoping review methodology outlined by Arksey and O'Malley (2005) to comprehensively search the literature pertaining to postgraduate anaesthesiology education. We will search relevant electronic databases (eg, MEDLINE, EMBASE) and grey literature. After conducting calibration exercises, two authors will independently apply inclusion criteria to all titles and abstracts and perform full-text review of all eligible articles. Data to be extracted will include basic information about the study (eg, location, design) as well as detailed information regarding the context of the research and type of education examined. Our results will be used to develop a framework of themes that outline the research currently being conducted and identify gaps in research. ETHICS AND DISSEMINATION: This review is the first step in a strategic research plan in postgraduate anaesthesiology education. We plan to disseminate this research through publications, presentations and meetings with relevant stakeholders. Ethical approval was not sought for this scoping review.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.094 | 0.123 |
| Meta-epidemiology (narrow) | 0.005 | 0.005 |
| Meta-epidemiology (broad) | 0.012 | 0.010 |
| Bibliometrics | 0.015 | 0.014 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.107 | 0.022 |
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".