MétaCan
Menu
Back to cohort
Record W2899203424 · doi:10.1097/njh.0000000000000502

Evaluating an Initiative to Promote Entry-Level Competence in Palliative and End-of-Life Care for Registered Nurses in Canada

2018· article· en· W2899203424 on OpenAlexaffabout
Lori Rietze, Coby Tschanz, H. Richardson

Bibliographic record

VenueJournal of Hospice and Palliative Nursing · 2018
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsDalhousie University
FundersDivision of Graduate Education
KeywordsPalliative careCompetence (human resources)CurriculumNursingEnd-of-life careNurse educationMedical educationMedicinePsychologyFamily medicinePedagogy

Abstract

fetched live from OpenAlex

Numerous competency statements have been developed for the purpose of guiding nurse educators and clinicians. Rarely, though, are there evaluations of the use of these competency statements in practice. In this cross-sectional descriptive study, nurse educators were surveyed to determine how the Canadian Association of Schools of Nursing (CASN) Palliative and End-of-Life Care Entry-to-Practice Competencies and Indicators are used in schools of nursing in Canada. Twenty-four respondents consented to participating in this study. Findings supported that some version of palliative and end-of-life care (PEOLC) education was offered at each school of nursing in Canada, and it was most commonly threaded throughout existing undergraduate courses. Data also suggested that if nurse educators were interested in PEOLC and had existing knowledge or expertise in PEOLC, the CASN Palliative and End-of-Life Care competency document was used to integrate content into curricula. This study provides some initial insights into the use of the CASN Palliative and End-of-Life Care competency document in Canadian schools of nursing. Implications for additional research, policy, education, and practice are discussed.

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 score0.130
Threshold uncertainty score0.981

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 head0.324
GPT teacher head0.489
Teacher spread0.165 · 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

Citations12
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Hospice and Palliative NursingSame topicPalliative Care and End-of-Life IssuesFrench-language works237,207