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Record W2041979052 · doi:10.12968/ijpn.2007.13.7.24346

The challenge of providing palliative care in the nursing home

2007· review· en· W2041979052 on OpenAlexaff
Suzanne M. Wowchuk, Susan McClement, John Bond

Bibliographic record

VenueInternational Journal of Palliative Nursing · 2007
Typereview
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsCancerCare ManitobaUniversity of ManitobaRegistered Nurses' Association of Ontario
Fundersnot available
KeywordsPalliative careNursingStaffingMedicineNursing homesAffect (linguistics)Family medicinePsychology

Abstract

fetched live from OpenAlex

Nursing homes are increasingly becoming the place of care and site of death for growing numbers of frail older people dying of chronic progressive illnesses. Despite this increase, empirical evidence suggests that providing palliative care in nursing homes is replete with challenges. In a previous publication, the authors examined challenges external to the nursing home that influence the provision of palliative care, and which may be beyond the nursing home’s control (Wowchuk et al, 2006). This paper reviews the primary internal factors identified in the literature that affect the provision of palliative care and are, to some extent, under the nursing home’s control. The internal factors include: i) lack of care provider knowledge about the principles and practices of palliative care; ii) care provider attitudes and beliefs about death and dying; iii) staffing levels and lack of available time for dying residents; iv) lack of physician support; v) lack of privacy for residents and families; vi) families’ expectations regarding residents’ care; vii) hospitalisation of dying residents. Suggestions for practice, education and research are provided.

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 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)0.001
metaresearch head score (Gemma)0.001
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: Review · Consensus signal: Review
Teacher disagreement score0.950
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.293
GPT teacher head0.545
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations63
Published2007
Admission routes1
Has abstractyes

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