Haemophilia nursing practice: A global survey of roles and responsibilities
Bibliographic record
Abstract
Abstract Haemophilia nursing roles continue to develop alongside nursing as a profession. There are now nurses who practice autonomously, much like a medical practitioner, and many who have extended their roles to deliver direct patient care, education and research. There has been little, if any, comparison with haemophilia nurse roles internationally, nor of the impact of these roles on patient reported outcomes. This paper reports the results of an international survey, of 297 haemophilia nurses from 22 countries, describing current day practice and care. Many nurses work above and beyond their funded hours to improve care through research and evidence-based practice. While some are able to attend international meetings to report and discover this evidence, many due to financial constraints, are not. Others reported difficulty with communicating in English, which limited congress attendance. With on-line learning capability, sharing of best practice is now possible, and this approach should be a platform developed in coming years to further enhance haemophilia nursing practice and ultimately patient care.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 | 0.000 |
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".