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Record W2891123119 · doi:10.1177/0840470418798102

From stigma to the spotlight: A need for patient-centred incontinence care

2018· article· en· W2891123119 on OpenAlexaff
D. Wayne Taylor, Jacqueline Cahill

Bibliographic record

VenueHealthcare Management Forum · 2018
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsCanadian Dermatology Foundation
Fundersnot available
KeywordsLaypersonMedicineNursingHealth careStigma (botany)Urinary incontinenceFamily medicinePsychologyPsychiatry

Abstract

fetched live from OpenAlex

Incontinence is not a single disorder but a family of related conditions with different etiologies and treatments; it is a chronic disability that carries an enormous stigma. In few disorder/treatment pairings, there is the need to reinvent care more urgent and clear than in the area of incontinence. Patient-centred care has been realized to improve outcomes, quality of care, and patient satisfaction while concurrently reducing healthcare costs. To improve continence care and move it away from "cleaning up accidents" to a patient-centred care model, in which the disorder is managed to best practice guidelines, does not require investigative or developmental prowess but a simple, concentrated effort to diffuse existing knowledge to close the knowledge gaps, both at the clinical language level for clinical nurses and family physicians, as the gatekeepers to specialist care, and in simplified layperson's language for the healthcare worker, family carer, and person living with incontinence.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.061
metaresearch head score (Gemma)0.116
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.061
Threshold uncertainty score0.321

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0610.116
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0030.002
Science and technology studies0.0200.031
Scholarly communication0.0240.040
Open science0.0070.040
Research integrity0.0320.072
Insufficient payload (model declined to judge)0.0260.005

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 head0.016
GPT teacher head0.281
Teacher spread0.265 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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

Citations18
Published2018
Admission routes1
Has abstractyes

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