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Record W4223543038 · doi:10.12968/bjon.2022.31.7.376

Challenges faced by people with a stoma: peristomal body profile risk factors and leakage

2022· article· en· W4223543038 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
KeywordsStoma (medicine)MedicineNursingLeakage (economics)SurgeryGeneral surgery

Abstract

fetched live from OpenAlex

Aim: The Ostomy Life Study 2019 aimed to obtain a better understanding of the challenges faced by people with stoma. Methods: Online survey with participants from 17 countries. Findings: Of the 54 614 individuals invited to take part, 5187 responded; 62% of the respondents avoided physical and social activities because of their stoma and 37% had never consulted their stoma care nurse to have the fit of their stoma product checked. In a subgroup receiving questions on leakage (n=4209), output under the baseplate and leakage onto clothes were experienced within the previous month by 76% and 26% of respondents, respectively. Higher chance of leakage was associated with an irregular stoma shape and peristomal body profile; a stoma level at or below the skin surface; and the presence of creases, folds and other changes in the peristomal area. Conclusion: Leakage and access to a stoma care nurse to provide the necessary care and guidance remain important concerns for individuals with a stoma.

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 score0.800
Threshold uncertainty score0.375

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 head0.022
GPT teacher head0.274
Teacher spread0.252 · 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