Peer Review Report For: In which context and for whom can interventions improve leadership of surgical trainees, surgeons and surgical teams and why: a realist review protocol [version 1; peer review: 3 approved, 1 approved with reservations]
Bibliographic record
Abstract
Background: Improving effective leadership of individuals, groups, and healthcare organisations is essential for improving surgical performance and indirectly improving health outcomes for patients. Numerous systematic reviews have been conducted which seek to determine the effectiveness of specific leadership interventions across a range of disciplines and healthcare outcomes. The purpose of this realist review is to systematically synthesise the literature which examines in which context and for whom leadership interventions improve leadership of surgeons, surgical teams, and trainees. Methods: Several approaches will be used to iteratively search the scientific and grey literature to identify relevant evidence. Selected articles will inform the development of a programme theory that seeks to explain in which context and for whom interventions can improve leadership of surgical trainees, surgeons, and surgical teams. Next, empirical studies will be searched systematically in order to test and, where necessary, refine the theory. Once theoretical saturation has been achieved, recommendations for advancing leadership in surgery will be developed. Stakeholder and patient and public consultations will contribute to the development of the programme theory. The review will be written up according to the Realist And Meta-narrative Evidence Synthesis: Evolving Standards publication standards. No ethical review will be required for the conduct of this realist review. Discussion: The knowledge gained from this review will provide evidence-based guidance for those planning or designing leadership interventions in surgery. The recommendations will help policymakers, educationalists, healthcare providers, and those delivering or planning leadership development programmes across the surgical disciplines to design interventions that are acceptable to the surgical community and successful in improving surgical leadership. PROSPERO registration: CRD42021230709
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 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 | 0.013 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".