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Record W3044351075 · doi:10.1111/jocn.15427

Riding an elephant: A qualitative study of nurses' moral journeys in the context of Medical Assistance in Dying (MAiD)

2020· article· en· W3044351075 on OpenAlex
Barbara Pesut, Sally Thorne, Janet Storch, Kenneth Chambaere, Madeleine Greig, Michael Burgess

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Clinical Nursing · 2020
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsUniversity of VictoriaUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersInstitute of AgingCanadian Institutes of Health ResearchCanada Research Chairs
KeywordsGratitudePsychologyContext (archaeology)Qualitative researchConsistency (knowledge bases)Social psychologyMoral reasoningHealth careNursingMedicineSociology

Abstract

fetched live from OpenAlex

AIMS AND OBJECTIVES: To describes nurses' moral experiences with Medical Assistance in Dying in the Canadian context. BACKGROUND: Nurses perform important roles in Medical Assistance in Dying in Canada and do so within a unique context in which Medical Assistance in Dying is provided through healthcare services and where accessibility is an important principle. International literature indicates that participating in Medical Assistance in Dying can be deeply impactful for nurses and requires a high degree of moral sense-making. DESIGN: A qualitative interview study guided by Interpretive Description using the COREQ checklist. RESULTS: Fifty-nine nurses from across Canada participated in the study. The decision to participate in Medical Assistance in Dying was influenced by family and community, professional experience and nurses' proximity to the act of Medical Assistance in Dying. Nurses described a range of deep and sometimes conflicting emotional reactions provoked by Medical Assistance in Dying. Nurses used a number of moral waypoints to make sense of their decision including patient choice, control and certainty; an understanding that it was not about the nurse; a commitment to staying with patients through suffering; consideration of moral consistency; issues related to the afterlife; and the peace and gratitude demonstrated by patients and families. DISCUSSION: The depth of nurses' intuitional moral responses and their need to make sense of these responses are consistent with Haidt's theory of moral experience in which individuals use reasoning primarily to explain their moral intuition and in which moral change occurs primarily through compassionate social interaction. Further, work on the moral identity of nursing provides robust explanation of how nurses' moral decisions are contextually and relationally mediated and how they seek to guard patient vulnerability, even at their own emotional cost. CONCLUSION: Medical Assistance in Dying is impactful for nurses, and for some, it requires intensive and ongoing moral sense-making. RELEVANCE TO CLINICAL PRACTICE: There is a need to provide support for nurses' moral deliberation and emotional well-being in the context of Medical Assistance in Dying care.

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.

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)0.084
metaresearch head score (Gemma)0.129
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0840.129
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.013
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 head0.478
GPT teacher head0.688
Teacher spread0.210 · 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