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Survey Results from Canada and Some Latin America Countries: 2016 National Pressure Ulcer Advisory Panel Changes in Terminology and Definitions

2017· article· en· W2572512241 on OpenAlexaboutno aff
Elizabeth A. Ayello, Guadalupe Maria Lobo, R. Gary Sibbald

Bibliographic record

VenueAdvances in Skin & Wound Care · 2017
Typearticle
Languageen
FieldHealth Professions
TopicPressure Ulcer Prevention and Management
Canadian institutionsnot available
Fundersnot available
KeywordsTerminologyMedicineWound careAdvisory committeeLatin AmericansFamily medicineHealth careMEDLINEPolitical scienceSurgeryPublic administrationLaw

Abstract

fetched live from OpenAlex

OBJECTIVE: Since the National Pressure Ulcer Advisory Panel (NPUAP) held its consensus conference in April 2016, various wound care specialists and professional organizations have been disseminating their response to the revised pressure injury staging definitions. The purpose of this survey was to get an objective perspective of the new NPUAP terminology and staging definitions changes from wound care colleagues outside the United States. PARTICIPANTS: In an attempt to obtain the opinions of wound care specialists outside the United States, a convenience sample from some countries in Latin America was invited to complete a survey during the Mexican Association for Integral Care and Wound Healing conference. In addition, students enrolled in the International Interprofessional Wound Care Course conducted in Toronto, Ontario, Canada, were also invited to participate in a revised NPUAP staging definition survey. RESULTS: Survey responses reveal strong support for the changes with consensus agreement greater than 80% on all survey items. CONCLUSIONS: These survey results can contribute to a universal agreement on terminology and definitions for pressure-related wounds, which may ultimately improve patient care.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.562
Threshold uncertainty score0.616

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.067
GPT teacher head0.363
Teacher spread0.297 · 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 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

Citations9
Published2017
Admission routes1
Has abstractyes

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