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Record W4224238663 · doi:10.12968/bjon.2022.31.8.442

The Ostomy Skin Tool 2.0: a new instrument for assessing peristomal skin changes

2022· article· en· W4224238663 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 · 2022
Typearticle
Languageen
FieldMedicine
TopicStoma care and complications
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsMedicineItchingHealth professionalsDermatologyHealth care

Abstract

fetched live from OpenAlex

BACKGROUND: Peristomal skin complications (PSCs) are frequently reported postoperative complications. PSCs can present visibly or as symptoms such as pain, itching or burning sensations. AIM: To develop a new tool that can capture a range of sensation symptoms together with visible complications and an objective assessment of discolouration in the peristomal area. METHOD: Consensus from qualitative interviews with health professionals and people with an ostomy, and input from expert panels, formed the basis of a patient-reported outcome (PRO) questionnaire. A decision tree model was used to define a combined score including PRO and objectively assessed discolouration area. FINDINGS: Six elements were included in the PRO questionnaire and four health states representing different severity levels of the peristomal skin were defined. CONCLUSION: The Ostomy Skin Tool 2.0 is a sensitive tool that can be used to follow changes in the peristomal skin on a regular basis and thereby help prevent severe PSCs.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.964
Threshold uncertainty score0.668

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 studies0.0010.000
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 head0.042
GPT teacher head0.331
Teacher spread0.289 · 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