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Record W4214854736 · doi:10.1177/08258597221083421

Non-somatic Suffering in Palliative Care: A Qualitative Study on Patients’ Perspectives

2022· article· en· W4214854736 on OpenAlexaff
Serge Daneault, Mehdi Azri, Deborah Ummel, F. Vinit, Andréanne Côté, Jérôme Leclerc-Loiselle, Philippe Laperle, Sylvie Gendron

Bibliographic record

VenueJournal of Palliative Care · 2022
Typearticle
Languageen
FieldMedicine
TopicPatient Dignity and Privacy
Canadian institutionsUniversité de SherbrookeUniversité de MontréalUniversité du Québec à MontréalInstitut Universitaire de Gériatrie de Montréal
Fundersnot available
KeywordsPalliative careQualitative researchMedicineNursingPsychologyFamily medicineSociology

Abstract

fetched live from OpenAlex

Objectives: Suffering is intimately linked to the experience of illness, and its relief is a mandate of medicine. Advances in knowledge around terminal illness have enabled better management of the somatic dimension. Nevertheless, there is what can be called “non-somatic” suffering which in some cases may take precedence. Inspired by Paul Ricoeur's thinking on human suffering, our aim in this qualitative study was to better understand the experience of non-somatic suffering. Methods: Semi-structured interviews were conducted with 19 patients. The results were qualitatively analyzed following a continuous comparative analysis approach inspired by grounded theory. Results: Three key themes synthesize the phenomenon: “the being enduring the suffering”, “the being whose agency is constrained”, and “the being in relationship with others.” The first describes what patients endure, the shock and fears associated with their own finitude, and the limits of what can be tolerated. The second refers to the experience of being restricted and of mourning the loss of their capacity to act. The last describes a residual suffering related to their interactions with others, that of loneliness and of abandoning their loved ones, two dimensions that persist even when they have accepted their own death. Conclusions: Non-somatic suffering can be multifarious, even when minimized by the patient. When evaluating suffering, we must keep in mind that patients can reach a “breaking point” that signals the state of unbearable suffering. In managing it, we probably need to make more room for family and friends, as well as a posture of caring based more on presence and listening.

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)0.017
metaresearch head score (Gemma)0.022
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 score0.017
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0100.010
Scholarly communication0.0050.005
Open science0.0020.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.073
GPT teacher head0.400
Teacher spread0.326 · 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".

Quick stats

Citations8
Published2022
Admission routes1
Has abstractyes

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