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Record W3112544397 · doi:10.12968/ijpn.2020.26.8.432

Bladder and bowel preferences of patients at the end of life: a scoping review

2020· review· en· W3112544397 on OpenAlexaff
Nicholas Smith, Saima Rajabali, Kathleen F. Hunter, Thane Chambers, Robin Fasinger, Adrian Wagg

Bibliographic record

VenueInternational Journal of Palliative Nursing · 2020
Typereview
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsImpactUniversity of Alberta
Fundersnot available
KeywordsMedicineIntensive care medicineMEDLINEEnd-of-life careNursingPalliative care

Abstract

fetched live from OpenAlex

BACKGROUND: Following patient preferences at the end of life should improve outcomes of care, yet patient preferences regarding bladder and bowel care are not often accommodated, as they are not well known in the literature. AIMS: This scoping review sought to identify bladder and bowel care preferences of patients at the end of life in published literature. METHODS: Papers published in or after 1997 (in English) that focused on adult preferences for bladder and bowel care at the end of life were included. FINDINGS: Scant literature exists on preferences for bladder and bowel care for adult patients at end of life. Further investigation is warranted to arrive at a better understanding of preferences regarding bladder and bowel symptom management. CONCLUSIONS: Future research should explore if prioritising the symptoms caused by incontinence, among the many symptoms experienced at the end of life, could be achieved through careful questioning and development of a standardised tool focused on improving patient care and incorporating patient preferences for care.

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)0.008
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.038
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0080.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.219
GPT teacher head0.503
Teacher spread0.284 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations9
Published2020
Admission routes1
Has abstractyes

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