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Record W4283024086 · doi:10.17483/2368-6669.1326

Canadian nursing students’ understanding, and comfort levels related to Medical Assistance in Dying

2022· article· en· W4283024086 on OpenAlexvenueaboutno aff
Shelley Canning, Christine Drew

Bibliographic record

VenueQuality Advancement in Nursing Education - Avancées en formation infirmière · 2022
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationCurriculumNursingNursing practiceMedical educationClinical PracticeMedicinePsychologyPolitical sciencePedagogyLaw

Abstract

fetched live from OpenAlex

Background: Recent legislation regarding medical assistance in dying (MAiD) has important implications for nursing practice and education. It follows that Canadian nursing programmes must integrate theoretical and clinical practice related to MAiD in current curricula. Understanding student knowledge and comfort regarding MAiD provides important direction for developing curricula. Purpose: To explore the understanding and comfort levels of BSN students regarding MAiD. Methods: An applied health research methodology drawing on Interpretive Description was employed. Forty BSN students were surveyed before receiving MAiD education delivered through coursework and clinical experiences; 32 students participated in post intervention surveys; six students participated in individual interviews. Results: Three major themes emerged from data analysis: Prior Experience and Lack of Experience; Personal Beliefs and Role Challenges; Need for Knowledge. Student understandings and comfort level levels related to MAiD were strongly influenced by their previous experiences, personal values and beliefs, and knowledge of MAiD policies and practices. Both theory courses and clinical experiences related to MAiD had positive impacts on students’ knowledge and comfort levels. Conclusions: Study findings draw attention to the need for improved education related to end of life and MAiD through both theory courses and clinical practicum experiences to improve student knowledge and comfort levels.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.266
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.145
GPT teacher head0.502
Teacher spread0.357 · 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

Citations4
Published2022
Admission routes2
Has abstractyes

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Same venueQuality Advancement in Nursing Education - Avancées en formation infirmièreSame topicPalliative Care and End-of-Life IssuesFrench-language works237,207