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Evaluation of the impact of restructuring wound management practices in a community care provider in Niagara, Canada

2008· article· en· W2000990075 on OpenAlexfundaboutno aff
Theresa Hurd, Nancy Zuiliani, John Posnett

Bibliographic record

VenueInternational Wound Journal · 2008
Typearticle
Languageen
FieldMedicine
TopicWound Healing and Treatments
Canadian institutionsnot available
FundersRegistered Nurses' Association of OntarioSmith and Nephew
KeywordsMedicineWound careRestructuringHealth carePopulationBest practiceNursingCase managementIntensive care medicineOperations managementEnvironmental healthBusiness

Abstract

fetched live from OpenAlex

The burden of chronic wounds is substantial, and this burden is set to increase as the population ages. The challenge for community health services is significant. Wound care is labour intensive, and demand for services is set to increase at a time when the availability of nursing resources is likely to be severely limited. In March 2005, the Niagara community health care provider implemented a radical reorganisation of wound management practices designed to ensure that available resources, particularly nurse time, were being used in the most efficient way. An evaluation of the impact of the reorganisation has shown improvements in clinical practice and better patient outcomes. The use of traditional wound care products reduced from 75% in 2005 to 20% in 2007 in line with best practice recommendations, and frequency of daily dressing changes reduced from 48% in 2005 to 15% in 2007. In a comparison of patients treated in 2005 and 2006, average time to healing was 51.5 weeks in 2005 compared with 20.9 weeks in 2006. Total treatment cost was lower in 2006 by $10,700 (75%) per patient. Overall, improvements in wound management practice led to a net saving of $3.8 million in the Niagara wound care budget.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.707

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.081
GPT teacher head0.401
Teacher spread0.320 · 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

Citations23
Published2008
Admission routes2
Has abstractyes

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