Bibliographic record
Abstract
Purpose: This methodological study translated, adapted, and validated the evidence based guideline of RNAO (Registered Nurses Association of Ontario) in Canada, for acute stroke care to domestic circumstances. Methods: Quality of the RNAO guideline was evaluated using AGREE tool. Then the guideline was translated into Korean and a preliminary guideline was established After checking content validation by an expert group,the Korean version of the guideline was applied to clinical settings to see its applicability. Results: The RNAO guideline in Korea was deemed appropriate. The Korean version of the guideline was drawn up with 56 items in 3 areas in stroke system related nursing, nursing of acute stroke inpatients, and stroke nursing assessment. A questionnaire survey was performed on appropriateness, enforceability, and applicability of those recommendations. A total of 54 recommendations were finalized after deleting 2 items below CVI 0.7 and correcting 3 items by taking professional advices. After trial application of the guideline to 40 stroke patients hospitalized at a ward of a hospital in Seoul, its performance was improved but was not statistically significant. Conclusion: This guideline is expected to contribute to improving nursing quality by offering it as a guide to evidence based practices for acute stroke care in Korea.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.005 | 0.006 |
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; both teacher heads agree on what is shown here.
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".