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Record W6944907712 · doi:10.20381/ruor-27138

What’s suffering got to do with it? A qualitative study of suffering in the context of Medical Assistance in Dying (MAID)

2021· other· en· W6944907712 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUniversity of Ottawa - Library · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsThematic analysisQualitative researchContext (archaeology)ExistentialismFocus groupPerceptionMeaning (existential)Health care

Abstract

fetched live from OpenAlex

Abstract Background Intolerable suffering is a common eligibility requirement for persons requesting assisted death, and although suffering has received philosophic attention for millennia, only recently has it been the focus of empirical inquiry. Robust theoretical knowledge about suffering is critically important as modern healthcare provides persons with different options at end-of-life to relieve suffering. The purpose of this paper is to present findings specific to the understanding and application of suffering in the context of MAID from nurses’ perspectives. Methods A longitudinal qualitative descriptive study using semi-structured telephone interviews. Inductive analysis was used to construct a thematic account. The study received ethical approval and all participants provided written consent. Results Fifty nurses and nurse practitioners from across Canada were interviewed. Participants described the suffering of dying and provided insights into the difficulties of treating existential suffering and the iatrogenic suffering patients experienced from long contact with the healthcare system. They shared perceptions of the suffering that leads to a request for MAID that included the unknown of dying, a desire for predictability, and the loss of dignity. Eliciting the suffering story was an essential part of nursing practice. Knowledge of the story allowed participants to find the balance between believing that suffering is whatever the persons says it is, while making sure that the MAID procedure was for the right person, for the right reason, at the right time. Participants perceived that the MAID process itself caused suffering that resulted from the complexity of decision-making, the chances of being deemed ineligible, and the heighted work of the tasks of dying. Conclusions Healthcare providers involved in MAID must be critically reflective about the suffering histories they bring to the clinical encounter, particularly iatrogenic suffering. Further, eliciting the suffering stories of persons requesting MAID requires a high degree of skill; those involved in the assessment process must have the time and competency to do this important role well. The nature of suffering that patients and family encounter as they enter the contemplation, assessment, and provision of MAID requires further research to understand it better and develop best practices.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.277
Teacher spread0.250 · 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

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Citations0
Published2021
Admission routes1
Has abstractyes

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