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Record W2333279455 · doi:10.1097/won.0000000000000181

Preventing Heel Pressure Ulcers

2015· article· en· W2333279455 on OpenAlexaffabout
Debbie Hanna-Bull

Bibliographic record

VenueJournal of Wound Ostomy and Continence Nursing · 2015
Typearticle
Languageen
FieldHealth Professions
TopicPressure Ulcer Prevention and Management
Canadian institutionsSKiN Health
Fundersnot available
KeywordsHeelMedicineIncidence (geometry)Orthopedic surgeryQuality managementIntensive care medicineSurgeryOperations management

Abstract

fetched live from OpenAlex

The setting for this quality improvement initiative designed to reduce the prevalence of facility-acquired heel pressure ulcers was a regional, acute-care, 490-bed facility in Ontario, Canada, responsible for dialysis, vascular, and orthopedic surgery. An interdisciplinary skin and wound care team designed an evidence-based quality improvement initiative based on a systematic literature review and standardization of heel offloading methods. The prevalence of heel pressure ulcers was measured at baseline (immediately prior to implementation of initiative) and at 1 and 4 years following implementation. The prevalence of facility-acquired heel pressure ulcers was 5.8% when measured before project implementation. It was 4.2% at 1 year following implementation and 1.6% when measured at the end of the 4-year initiative. Outcomes demonstrate that the initiative resulted in a continuous and sustained reduction in facility-acquired heel pressure ulcer incidence over a 4-year period.

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)0.002
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 score0.546
Threshold uncertainty score0.411

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.060
GPT teacher head0.408
Teacher spread0.348 · 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

Citations14
Published2015
Admission routes2
Has abstractyes

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