Outcomes of a Clinical Nurse Specialist-Initiated Wound Care Education Program
Bibliographic record
Abstract
Consistent with the sphere of clinical nurse specialist (CNS) practice related to advancing nursing practice and patient outcomes, a CNS task force of 20 of the 60 CNSs in our large teaching hospital was convened to plan, implement and evaluate a comprehensive wound care education program. The purpose of the program was to ensure the 24-7 hospital-wide availability of nurses with evidenced-based wound care knowledge and skills. The facilitative environment, in which the program was developed and operates, is analyzed using the Promoting Action on Research Implementation in Health Services framework. Outcomes of the CNS task force include (1) designation of unit-based CNS as the first line resources for wound care at the unit level, (2) education of almost 10% of the 3,800 nurses at Massachusetts General Hospital as staff nurse resources, and (3) a shift in the nature of CNS wound care consultations from prescription to validation of the staff nurse-initiated wound care plan.
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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 | 0.005 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".