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Record W2138029918 · doi:10.1161/strokeaha.113.001992

Satisfaction With Palliative Care After Stroke

2013· article· en· W2138029918 on OpenAlexaff
Dylan Blacquière, Khadija Bhimji, Hilary Meggison, John Sinclair, Michael Sharma

Bibliographic record

VenueStroke · 2013
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsPopulation Health Research Institute
FundersBrown University
KeywordsMedicinePalliative careStroke (engine)Subarachnoid hemorrhagePatient satisfactionFamily medicineNursingInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND AND PURPOSE: The determinants of satisfaction for families of acute stroke patients receiving palliative care have not been extensively studied. We surveyed families to determine how they perceived palliative care after stroke. METHODS: Families of patients palliated after ischemic stroke, intracerebral, or subarachnoid hemorrhage were approached. Four weeks after the patient's death, families were administered the After-Death Bereaved Family Member Interview to determine satisfaction with the care provided. RESULTS: Fifteen families participated. Families were most satisfied with participation in decision making and least satisfied with attention to emotional needs. In stroke-specific domains, families had less satisfaction with artificial feeding, hydration, and communication. Overall satisfaction was high (9.04 out of 10). CONCLUSIONS: Families of patients receiving palliative care at our institution showed generally high satisfaction with palliation after stroke; specific domains were identified for improvement. Further study in larger populations is required.

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)0.011
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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.046
GPT teacher head0.351
Teacher spread0.305 · 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

Citations30
Published2013
Admission routes1
Has abstractyes

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