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Record W2140879924 · doi:10.12968/ijpn.2011.17.7.344

Palliative care nursing in rural and urban community settings: a comparative analysis

2011· article· en· W2140879924 on OpenAlexafffundabout
Sharon Kaasalainen, Kevin Brazil, Kathleen Willison, Denise Marshall, Alan Taniguchi, Allison Williams, Donna M. Wilson

Bibliographic record

VenueInternational Journal of Palliative Nursing · 2011
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of AlbertaMcMaster University
FundersCanadian Institutes of Health Research
KeywordsPalliative careNursingMedicineDistrict nurseAgency (philosophy)Family medicineHealth careSociologyPolitical science

Abstract

fetched live from OpenAlex

Nurses have key roles in the coordination and delivery of community-based palliative care. The purpose of this study was to examine the differences between rural and urban community nurses' delivery of palliative care services. A survey was distributed to 277 nurses employed by a community agency in Ontario, Canada, and a 60% response rate was obtained. Nurses reported spending 27% of their time providing palliative care. Rural and urban nurses had similar roles in palliative care but rural nurses spent more time travelling and were more confident in their ability to provide palliative care. Both groups of nurses reported moderate job satisfaction and moderate satisfaction with the level of interdisciplinary collaboration in their practice. Several barriers to and facilitators of optimal palliative care provision were identified. The study results provide information about the needs of nurses that practise in these settings and may provide a basis for the development of strategies to address these needs.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score0.806

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.180
GPT teacher head0.469
Teacher spread0.289 · 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 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

Citations30
Published2011
Admission routes3
Has abstractyes

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