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Record W1991464181 · doi:10.12968/bjon.2012.21.22.1312

Strategies to reduce treatment costs of peristomal skin complications

2012· article· en· W1991464181 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBritish Journal of Nursing · 2012
Typearticle
Languageen
FieldMedicine
TopicStoma care and complications
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsMedicineDermatologyIntensive care medicineGeneral surgerySurgery

Abstract

fetched live from OpenAlex

Peristomal skin complications (PSCs) are common and troublesome and the consequences are substantial both for the patient and from a health-economic viewpoint. The purpose of this article is to demonstrate that early detection and treatment of PSCs, combined with the use of a correctly fitted and appropriate pouching system, can reduce treatment costs-in the UK, it is estimated to save £28.1m annually. A model for cost estimation of PSCs and a real-life global data set of people with stomas are used for the calculations. A high priority should be given to ensuring resources are available to provide education, guidance and assistance to people with a stoma. This would support increased awareness of the first signs of PSCs and enable self-management at an early stage.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.948
Threshold uncertainty score0.270

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.056
GPT teacher head0.375
Teacher spread0.319 · 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