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Record W2119414470 · doi:10.1177/096973300000700505

The Attitude of Canadian Nurses Towards Advance Directives

2000· article· en· W2119414470 on OpenAlexaffabout
Danielle Blondeau, Mireille Lavoie, Pierre Valois, Edward W. Keyserlingk, Martin Hébert, Isabelle Martineau

Bibliographic record

VenueNursing Ethics · 2000
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsMcGill UniversityUniversité Laval
Fundersnot available
KeywordsAutonomyDirectiveEconomic JusticeNursingPsychologyStatement (logic)Sample (material)Health careDimension (graph theory)Power of attorneyPower (physics)Social psychologyMedicinePolitical scienceLaw

Abstract

fetched live from OpenAlex

This article seeks to shed light on the beliefs that influence nurses' intention of respecting or not respecting an advance directive document, namely a living will or a durable power of attorney. Nurses' beliefs were measured using a 44-statement questionnaire. The sample was made up of 306 nurses working either in a long-term care centre or in a hospital centre offering general and specialized care in the province of Québec. The results indicate that nurses have a strong intention of complying with advance directives written by patients. The analysis also shows that four variables determine the strength of this intention: respect for autonomy; the location of the workplace; justice; and the dimension of relationships and emotions. Although these documents favour the expression of patients' wishes, nurses should be aware that they do not systematically guarantee respect of a patient's autonomy, nor do they replace a relationship based on trust between patients and health care professionals.

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)0.003
metaresearch head score (Gemma)0.021
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 score0.068
Threshold uncertainty score0.177

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.254
GPT teacher head0.504
Teacher spread0.249 · 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

Citations22
Published2000
Admission routes2
Has abstractyes

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