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Record W2800607729 · doi:10.1097/njh.0000000000000423

Identifying the Factors Associated With Canadian Registered Nurses' Engagement in Advance Care Planning

2018· article· en· W2800607729 on OpenAlexaffabout
Lori Rietze, Roberta Heale, Stacey Roles, Laura Hill

Bibliographic record

VenueJournal of Hospice and Palliative Nursing · 2018
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsHealth Sciences NorthLaurentian University
Fundersnot available
KeywordsAdvance care planningConversationNursingPsychologyContinuing educationMedicineFamily medicineMedical educationPalliative care

Abstract

fetched live from OpenAlex

Advance care planning (ACP) is a series of discussions in which patient values and wishes for end-of-life care are made known. The purpose of this study was to determine the extent to which registered nurses (RNs) engaged in ACP with their patients and understand the factors associated with this practice decision in Canada. One hundred twenty-five RNs participated in this cross-sectional descriptive survey. Registered nurse participants agreed that end-of-life decision making is an important part of their work; however, the majority of respondents did not participate in ACP, especially those RNs who were employed in community settings. Study respondents cited barriers to implementing ACP into their practice such as limited organizational policy, limited expectations of others to engage in ACP, inadequate educational opportunities to learn about or practice ACP, and a lack of patient and family readiness for the conversation. Study conclusions support recommendations for continuing education topics and the importance of organizational support in ACP.

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)0.005
metaresearch head score (Gemma)0.034
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 score0.096
Threshold uncertainty score0.194

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0010.002
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 head0.239
GPT teacher head0.460
Teacher spread0.221 · 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

Citations14
Published2018
Admission routes2
Has abstractyes

Explore more

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