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Record W2106589814 · doi:10.1017/s1478951509990265

Attitudes of Quebec doctors toward sedation at the end of life: An exploratory study

2009· article· en· W2106589814 on OpenAlexaffabout
Danielle Blondeau, Serge Dumont, Louis Roy, Isabelle Martineau

Bibliographic record

VenuePalliative & Supportive Care · 2009
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsMichel-SarrazinHôtel-Dieu de QuébecUniversité Laval
Fundersnot available
KeywordsPalliative sedationSedationNormativeExploratory researchEnd-of-life careMedicinePalliative careInformed consentEthical issuesPsychologyNursingAlternative medicineAnesthesiaPolitical scienceSociologyEngineering ethicsLaw

Abstract

fetched live from OpenAlex

OBJECTIVE: The induction of sedation at the end of life is a much debated practice and not very documented. The goal of this study was to explore the practice from both a clinical and ethical point of view. METHODS: Data were collected through semistructured interviews with 19 Quebec physicians working in palliative care. RESULTS: Doctors' first priority was their patients, not patients' families. Clinically, the therapeutic aim of sedation was strictly to relieve suffering on the part of the patient. Ethically, getting the patient's consent was imperative. The family's consent was only required in cases of incapacity. Generally, sedation and euthanasia were seen as two distinct practices. SIGNIFICANCE OF THE RESEARCH: There are still very few guidelines regarding end-of-life sedation in Québec, and its normative framework is more implicit than explicit. It should be noted that most of the respondents regarded sedation and euthanasia as two distinct practices.

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)0.001
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 score0.081
Threshold uncertainty score0.836

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.135
GPT teacher head0.426
Teacher spread0.290 · 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

Citations16
Published2009
Admission routes2
Has abstractyes

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