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Record W6964600515 · doi:10.25384/sage.c.6996345.v1

Practitioners’ experiences with 2021 amendments to Canada’s medical assistance in dying law: a qualitative analysis

2023· other· en· W6964600515 on OpenAlexaboutno aff

Bibliographic record

VenueSage Journals Data · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationThematic analysisParliamentNova scotiaSupreme courtQualitative researchWorkloadQualitative analysis

Abstract

fetched live from OpenAlex

Background:In 2016, Canada joined the growing number of jurisdictions to legalize medical assistance in dying (MAiD), when the Supreme Court of Canada’s decision in Carter v Canada took effect and the Canadian Parliament passed Bill C-14. Five years later, Bill C-7 introduced several significant amendments. These included removing the ‘reasonably foreseeable natural death’ requirement (an aspect that was widely debated) and introducing the final consent waiver. Since Bill C-7 is so new, very little research has investigated its operation in practice.Objectives:This study investigates the experiences of MAiD assessors and providers regarding the Bill C-7 amendments. It explores implications for understanding and improving regulatory reform and implementation.Design:Qualitative thematic analysis of semi-structured interviews.Methods:In all, 32 MAiD assessors and providers (25 physicians and 7 nurse practitioners) from British Columbia (n = 10), Ontario (n = 15) and Nova Scotia (n = 7) were interviewed.Results:The analysis resulted in five themes: (1) removing barriers to MAiD access; (2) navigating regulatory and systems recalibration; (3) recognizing workload burdens; (4) determining individual ethical boundaries of practice and (5) grappling with ethical tensions arising from broader health system challenges.Conclusion:This is one of the first studies to investigate physicians’ and nurse practitioners’ experiences of the impact of Bill C-7 after the legislation was passed. Bill C-7 addressed key problems under Bill C-14, including the two witnesses requirement and the 10-day waiting period. However, it also introduced new complexities as practitioners decided how to approach cases involving a non-reasonably foreseeable natural death (and contemplated the advent of MAiD for persons with a mental disorder as a sole underlying condition). This study highlights the importance of involving practitioners in advance of legislative changes. It also emphasizes how the regulation of MAiD involves a range of organizations, which requires strong leadership and coordination from the government.

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)0.027
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.742
Threshold uncertainty score0.513

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.047
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0220.023
Scholarly communication0.0090.006
Open science0.0030.010
Research integrity0.0050.007
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 head0.089
GPT teacher head0.431
Teacher spread0.341 · 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 designQualitative
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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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Same venueSage Journals DataFrench-language works237,207