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Record W2071605521 · doi:10.1191/0269216302pm592oa

The provision of palliative care in nursing homes and residential care homes: a survey of clinical nurse specialist work

2002· article· en· W2071605521 on OpenAlexaff
Katherine Froggatt, Karen Poole, Lizzy Hoult

Bibliographic record

VenuePalliative Medicine · 2002
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsInstitute of Cancer Research
Fundersnot available
KeywordsMedicineNursingPalliative careWork (physics)Nursing homesDistrict nurseClinical nurse specialistFamily medicineResidential careHealth care

Abstract

fetched live from OpenAlex

The provision of end-of-life care within nursing and residential care homes is of concern to policy makers and specialist palliative care providers. There is evidence of an increasing number of initiatives involving clinical nurse specialists (CNS) with the care of residents within these care settings, but the extent to which this is occurring in the UK has not been documented. A survey of 730 community CNS in palliative care was undertaken to describe the extent to which these practitioners are involved with the care of residents in nursing and residential care homes and the nature of this work. Although 92% of the CNS surveyed had worked with nursing homes and 80% of the CNS with residential care homes, the responses showed that this work was primarily reactive and undertaken infrequently. The majority of the work undertaken by CNS involved caring for patients with malignant conditions with a clinical focus addressing the management of physical symptoms.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.170
GPT teacher head0.483
Teacher spread0.313 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations33
Published2002
Admission routes1
Has abstractyes

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