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Record W2017897967 · doi:10.1097/nur.0b013e3181b207f5

Outcomes of a Clinical Nurse Specialist-Initiated Wound Care Education Program

2009· article· en· W2017897967 on OpenAlexaff
Virginia Capasso, Jacqueline Collins, Catherine A. Griffith, Cynthia Ann LaSala, Susan Kilroy, Ann T. Martin, Jill Taylor Pedro, Susan L. Wood

Bibliographic record

VenueClinical Nurse Specialist · 2009
Typearticle
Languageen
FieldNursing
TopicNursing Diagnosis and Documentation
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsNursingWound careClinical nurse specialistMedicineMedical prescriptionUnit (ring theory)Action planNursing staffHealth careMEDLINEPsychologyIntensive care medicine

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.677
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.076
GPT teacher head0.492
Teacher spread0.416 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations12
Published2009
Admission routes1
Has abstractyes

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