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Record W2957023708 · doi:10.1097/won.0000000000000555

Executive Summary: Nurses Specialized in Wound, Ostomy and Continence Canada (NSWOCC) Nursing Best Practice Recommendations

2019· article· en· W2957023708 on OpenAlexaffabout
Jillian Brooke, Amanda El-Ghaname, Karen Napier, Laureen Sommerey

Bibliographic record

VenueJournal of Wound Ostomy and Continence Nursing · 2019
Typearticle
Languageen
FieldMedicine
TopicAbdominal Surgery and Complications
Canadian institutionsInterior HealthKingston Health Sciences CentreSturgeon Community HospitalCustom Security Industries (Canada)
Fundersnot available
KeywordsBest practiceMedicineGuidelineNursingHealth careExecutive summaryMEDLINEBusinessManagement

Abstract

fetched live from OpenAlex

Enterocutaneous fistulas (ECF) and enteroatmospheric fistulas (EAF) pose significant quality-of-life concerns for patients, and management challenges for the interprofessional healthcare team. In 2009, the Canadian Association for Enterostomal The developed best practice recommendations for the management of ECF. Over time, evidence and practice evolve, and the Nurses Specialized in Wound, Ostomy and Continence Canada performed a comprehensive review of the literature and revised the practice recommendation document. The revised recommendations provide evidence-based management guidance for ECF and EAF in the adult population whether in acute care, community/home care, or long-term/residential settings, and are specifically created for nurses. The revised recommendations include organizational support, assessment, nutrition, pharmaceutical management, education, and local fistula management. This article serves as an executive summary for this clinical resource; the full guideline is available at http://nswoc.ca/ecf-best-practices/.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.715
Threshold uncertainty score0.953

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.306
Teacher spread0.293 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2019
Admission routes2
Has abstractyes

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